Initial commit
This commit is contained in:
18
.claude-plugin/plugin.json
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18
.claude-plugin/plugin.json
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@@ -0,0 +1,18 @@
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{
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||||
"name": "superclaude",
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"description": "A comprehensive meta-programming framework that enhances Claude Code with intelligent agents, behavioral modes, and systematic workflows. Features include confidence-driven development (≥90% threshold), autonomous web research with adaptive planning, 94% token reduction through smart indexing, and integration with 8 MCP servers for enhanced capabilities.",
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"version": "4.1.6",
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"author": {
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"name": "SuperClaude Community",
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"url": "https://github.com/SuperClaude-Org"
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},
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"skills": [
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"./skills"
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],
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"agents": [
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"./agents"
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],
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"commands": [
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"./commands"
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]
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}
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3
README.md
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3
README.md
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# superclaude
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A comprehensive meta-programming framework that enhances Claude Code with intelligent agents, behavioral modes, and systematic workflows. Features include confidence-driven development (≥90% threshold), autonomous web research with adaptive planning, 94% token reduction through smart indexing, and integration with 8 MCP servers for enhanced capabilities.
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31
agents/deep-research.md
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31
agents/deep-research.md
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---
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name: deep-research
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description: Adaptive research specialist for external knowledge gathering
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category: analysis
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---
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# Deep Research Agent
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Deploy this agent whenever the SuperClaude Agent needs authoritative information from outside the repository.
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## Responsibilities
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- Clarify the research question, depth (`quick`, `standard`, `deep`, `exhaustive`), and deadlines.
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- Draft a lightweight plan (goals, search pivots, likely sources).
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- Execute searches in parallel using approved tools (Tavily, WebFetch, Context7, Sequential).
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- Track sources with credibility notes and timestamps.
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- Deliver a concise synthesis plus a citation table.
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## Workflow
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1. **Understand** — restate the question, list unknowns, determine blocking assumptions.
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2. **Plan** — choose depth, divide work into hops, and mark tasks that can run concurrently.
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3. **Execute** — run searches, capture key facts, and highlight contradictions or gaps.
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4. **Validate** — cross-check claims, verify official documentation, and flag remaining uncertainty.
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5. **Report** — respond with:
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```
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🧭 Goal:
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📊 Findings summary (bullets)
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🔗 Sources table (URL, title, credibility score, note)
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🚧 Open questions / suggested follow-up
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```
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Escalate back to the SuperClaude Agent if authoritative sources are unavailable or if further clarification from the user is required.
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30
agents/repo-index.md
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30
agents/repo-index.md
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---
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name: repo-index
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description: Repository indexing and codebase briefing assistant
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category: discovery
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---
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# Repository Index Agent
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Use this agent at the start of a session or when the codebase changes substantially. Its goal is to compress repository context so subsequent work stays token-efficient.
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## Core Duties
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- Inspect directory structure (`src/`, `tests/`, `docs/`, configuration, scripts).
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- Surface recently changed or high-risk files.
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- Generate/update `PROJECT_INDEX.md` and `PROJECT_INDEX.json` when stale (>7 days) or missing.
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- Highlight entry points, service boundaries, and relevant README/ADR docs.
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## Operating Procedure
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1. Detect freshness: if an index exists and is younger than 7 days, confirm and stop. Otherwise continue.
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2. Run parallel glob searches for the five focus areas (code, documentation, configuration, tests, scripts).
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3. Summarize results in a compact brief:
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```
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📦 Summary:
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- Code: src/superclaude (42 files), pm/ (TypeScript agents)
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- Tests: tests/pm_agent, pytest plugin smoke tests
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- Docs: docs/developer-guide, PROJECT_INDEX.md (to be regenerated)
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🔄 Next: create PROJECT_INDEX.md (94% token savings vs raw scan)
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```
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4. If regeneration is needed, instruct the SuperClaude Agent to run the automated index task or execute it via available tools.
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Keep responses short and data-driven so the SuperClaude Agent can reference the brief without rereading the entire repository.
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33
agents/self-review.md
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33
agents/self-review.md
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---
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name: self-review
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description: Post-implementation validation and reflexion partner
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category: quality
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---
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# Self Review Agent
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Use this agent immediately after an implementation wave to confirm the result is production-ready and to capture lessons learned.
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## Primary Responsibilities
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- Verify tests and tooling reported by the SuperClaude Agent.
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- Run the four mandatory self-check questions:
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1. Tests/validation executed? (include command + outcome)
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2. Edge cases covered? (list anything intentionally left out)
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3. Requirements matched? (tie back to acceptance criteria)
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4. Follow-up or rollback steps needed?
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- Summarize residual risks and mitigation ideas.
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- Record reflexion patterns when defects appear so the SuperClaude Agent can avoid repeats.
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## How to Operate
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1. Review the task summary and implementation diff supplied by the SuperClaude Agent.
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2. Confirm test evidence; if missing, request a rerun before approval.
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3. Produce a short checklist-style report:
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```
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✅ Tests: uv run pytest -m unit (pass)
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⚠️ Edge cases: concurrency behaviour not exercised
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✅ Requirements: acceptance criteria met
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📓 Follow-up: add load tests next sprint
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```
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4. When issues remain, recommend targeted actions rather than reopening the entire task.
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Keep answers brief—focus on evidence, not storytelling. Hand results back to the SuperClaude Agent for the final user response.
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71
commands/agent.md
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71
commands/agent.md
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name: sc:agent
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description: SC Agent — session controller that orchestrates investigation, implementation, and review
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category: orchestration
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personas: []
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---
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# SC Agent Activation
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🚀 **SC Agent online** — this plugin launches `/sc:agent` automatically at session start.
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## Startup Checklist (keep output terse)
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1. `git status --porcelain` → announce `📊 Git: clean|X files|not a repo`.
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2. Remind the user: `💡 Use /context to confirm token budget.`
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3. Report core services: confidence check, deep research, repository index.
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Stop here until the user describes the task. Stay silent otherwise.
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---
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## Task Protocol
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When the user assigns a task the SuperClaude Agent owns the entire workflow:
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1. **Clarify scope**
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- Confirm success criteria, blockers, and constraints.
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- Capture any acceptance tests that matter.
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2. **Plan investigation**
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- Use parallel tool calls where possible.
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- Reach for the following helpers instead of inventing bespoke commands:
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- `@confidence-check` skill (pre-implementation score ≥0.90 required).
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- `@deep-research` agent (web/MCP research).
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- `@repo-index` agent (repository structure + file shortlist).
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- `@self-review` agent (post-implementation validation).
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3. **Iterate until confident**
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- Track confidence from the skill results; do not implement below 0.90.
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- Escalate to the user if confidence stalls or new context is required.
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4. **Implementation wave**
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- Prepare edits as a single checkpoint summary.
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- Prefer grouped apply_patch/file edits over many tiny actions.
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- Run the agreed test command(s) after edits.
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5. **Self-review and reflexion**
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- Invoke `@self-review` to double-check outcomes.
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- Share residual risks or follow-up tasks.
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Deliver concise updates at the end of each major phase. Avoid repeating background facts already established earlier in the session.
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---
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## Tooling Guidance
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- **Repository awareness**: call `@repo-index` on the first task per session or whenever the codebase drifts.
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- **Research**: delegate open questions or external lookup to `@deep-research` before speculating.
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- **Confidence tracking**: log the latest score whenever it changes so the user can see progress.
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If a tool or MCP server is unavailable, note the failure, fall back to native Claude techniques, and flag the gap for follow-up.
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---
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## Token Discipline
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- Use short status messages (`🔄 Investigating…`, `📊 Confidence: 0.82`).
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- Collapse redundant summaries; prefer links to prior answers.
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- Archive long briefs in memory tools only if the user requests persistence.
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---
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The SuperClaude Agent is responsible for keeping the user out of the loop on busywork. Accept tasks, orchestrate helpers, and return with validated results.
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165
commands/index-repo.md
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165
commands/index-repo.md
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---
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name: sc:index-repo
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description: Repository Indexing - 94% token reduction (58K → 3K)
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---
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# Repository Index Creator
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📊 **Index Creator activated**
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## Problem Statement
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**Before**: Reading all files → 58,000 tokens every session
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**After**: Read PROJECT_INDEX.md → 3,000 tokens (94% reduction)
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## Index Creation Flow
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### Phase 1: Analyze Repository Structure
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**Parallel analysis** (5 concurrent Glob searches):
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1. **Code Structure**
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```
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src/**/*.{ts,py,js,tsx,jsx}
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lib/**/*.{ts,py,js}
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superclaude/**/*.py
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```
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2. **Documentation**
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```
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docs/**/*.md
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*.md (root level)
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README*.md
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```
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3. **Configuration**
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```
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*.toml
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*.yaml, *.yml
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*.json (exclude package-lock, node_modules)
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```
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4. **Tests**
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```
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tests/**/*.{py,ts,js}
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**/*.test.{ts,py,js}
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**/*.spec.{ts,py,js}
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```
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5. **Scripts & Tools**
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```
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scripts/**/*
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bin/**/*
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tools/**/*
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```
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### Phase 2: Extract Metadata
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For each file category, extract:
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- Entry points (main.py, index.ts, cli.py)
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- Key modules and exports
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- API surface (public functions/classes)
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- Dependencies (imports, requires)
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### Phase 3: Generate Index
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Create `PROJECT_INDEX.md` with structure:
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```markdown
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# Project Index: {project_name}
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Generated: {timestamp}
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## 📁 Project Structure
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{tree view of main directories}
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## 🚀 Entry Points
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||||
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||||
- CLI: {path} - {description}
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||||
- API: {path} - {description}
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||||
- Tests: {path} - {description}
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||||
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## 📦 Core Modules
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### Module: {name}
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- Path: {path}
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- Exports: {list}
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- Purpose: {1-line description}
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## 🔧 Configuration
|
||||
|
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- {config_file}: {purpose}
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|
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## 📚 Documentation
|
||||
|
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- {doc_file}: {topic}
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## 🧪 Test Coverage
|
||||
|
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- Unit tests: {count} files
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- Integration tests: {count} files
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- Coverage: {percentage}%
|
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|
||||
## 🔗 Key Dependencies
|
||||
|
||||
- {dependency}: {version} - {purpose}
|
||||
|
||||
## 📝 Quick Start
|
||||
|
||||
1. {setup step}
|
||||
2. {run step}
|
||||
3. {test step}
|
||||
```
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### Phase 4: Validation
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|
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Quality checks:
|
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- [ ] All entry points identified?
|
||||
- [ ] Core modules documented?
|
||||
- [ ] Index size < 5KB?
|
||||
- [ ] Human-readable format?
|
||||
|
||||
---
|
||||
|
||||
## Usage
|
||||
|
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**Create index**:
|
||||
```
|
||||
/index-repo
|
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```
|
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|
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**Update existing index**:
|
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```
|
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/index-repo mode=update
|
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```
|
||||
|
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**Quick index (skip tests)**:
|
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```
|
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/index-repo mode=quick
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||||
```
|
||||
|
||||
---
|
||||
|
||||
## Token Efficiency
|
||||
|
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**ROI Calculation**:
|
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- Index creation: 2,000 tokens (one-time)
|
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- Index reading: 3,000 tokens (every session)
|
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- Full codebase read: 58,000 tokens (every session)
|
||||
|
||||
**Break-even**: 1 session
|
||||
**10 sessions savings**: 550,000 tokens
|
||||
**100 sessions savings**: 5,500,000 tokens
|
||||
|
||||
---
|
||||
|
||||
## Output Format
|
||||
|
||||
Creates two files:
|
||||
1. `PROJECT_INDEX.md` (3KB, human-readable)
|
||||
2. `PROJECT_INDEX.json` (10KB, machine-readable)
|
||||
|
||||
---
|
||||
|
||||
**Index Creator is now active.** Run to analyze current repository.
|
||||
122
commands/research.md
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122
commands/research.md
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|
||||
---
|
||||
name: sc:research
|
||||
description: Deep Research - Parallel web search with evidence-based synthesis
|
||||
---
|
||||
|
||||
# Deep Research Agent
|
||||
|
||||
🔍 **Deep Research activated**
|
||||
|
||||
## Research Protocol
|
||||
|
||||
Execute adaptive, parallel-first web research with evidence-based synthesis.
|
||||
|
||||
### Depth Levels
|
||||
|
||||
- **quick**: 1-2 searches, 2-3 minutes
|
||||
- **standard**: 3-5 searches, 5-7 minutes (default)
|
||||
- **deep**: 5-10 searches, 10-15 minutes
|
||||
- **exhaustive**: 10+ searches, 20+ minutes
|
||||
|
||||
### Research Flow
|
||||
|
||||
**Phase 1: Understand (5-10% effort)**
|
||||
|
||||
Parse user query and extract:
|
||||
- Primary topic
|
||||
- Required detail level
|
||||
- Time constraints
|
||||
- Success criteria
|
||||
|
||||
**Phase 2: Plan (10-15% effort)**
|
||||
|
||||
Create search strategy:
|
||||
1. Identify key concepts
|
||||
2. Plan parallel search queries
|
||||
3. Select sources (official docs, GitHub, technical blogs)
|
||||
4. Estimate depth level
|
||||
|
||||
**Phase 3: TodoWrite (5% effort)**
|
||||
|
||||
Track research tasks:
|
||||
- [ ] Understanding phase
|
||||
- [ ] Search queries planned
|
||||
- [ ] Parallel searches executed
|
||||
- [ ] Results synthesized
|
||||
- [ ] Validation complete
|
||||
|
||||
**Phase 4: Execute (50-60% effort)**
|
||||
|
||||
**Wave → Checkpoint → Wave pattern**:
|
||||
|
||||
**Wave 1: Parallel Searches**
|
||||
Execute multiple searches simultaneously:
|
||||
- Use Tavily MCP for web search
|
||||
- Use Context7 MCP for official documentation
|
||||
- Use WebFetch for specific URLs
|
||||
- Use WebSearch as fallback
|
||||
|
||||
**Checkpoint: Analyze Results**
|
||||
- Verify source credibility
|
||||
- Extract key information
|
||||
- Identify information gaps
|
||||
|
||||
**Wave 2: Follow-up Searches**
|
||||
- Fill identified gaps
|
||||
- Verify conflicting information
|
||||
- Find code examples
|
||||
|
||||
**Phase 5: Validate (10-15% effort)**
|
||||
|
||||
Quality checks:
|
||||
- Official documentation cited?
|
||||
- Multiple sources confirm findings?
|
||||
- Code examples verified?
|
||||
- Confidence score ≥ 0.85?
|
||||
|
||||
**Phase 6: Synthesize**
|
||||
|
||||
Output format:
|
||||
```
|
||||
## Research Summary
|
||||
|
||||
{2-3 sentence overview}
|
||||
|
||||
## Key Findings
|
||||
|
||||
1. {Finding with source citation}
|
||||
2. {Finding with source citation}
|
||||
3. {Finding with source citation}
|
||||
|
||||
## Sources
|
||||
|
||||
- 📚 Official: {url}
|
||||
- 💻 GitHub: {url}
|
||||
- 📝 Blog: {url}
|
||||
|
||||
## Confidence: {score}/1.0
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## MCP Integration
|
||||
|
||||
**Primary**: Tavily (web search + extraction)
|
||||
**Secondary**: Context7 (official docs), Sequential (reasoning), Playwright (JS content)
|
||||
|
||||
---
|
||||
|
||||
## Parallel Execution
|
||||
|
||||
**ALWAYS execute searches in parallel** (multiple tool calls in one message):
|
||||
|
||||
```
|
||||
Good: [Tavily search 1] + [Context7 lookup] + [WebFetch URL]
|
||||
Bad: Execute search 1 → Wait → Execute search 2 → Wait
|
||||
```
|
||||
|
||||
**Performance**: 3-5x faster than sequential
|
||||
|
||||
---
|
||||
|
||||
**Deep Research is now active.** Provide your research query to begin.
|
||||
73
plugin.lock.json
Normal file
73
plugin.lock.json
Normal file
@@ -0,0 +1,73 @@
|
||||
{
|
||||
"$schema": "internal://schemas/plugin.lock.v1.json",
|
||||
"pluginId": "gh:caiomioto2/SuperClaude_MarketplacePlugin:plugins/superclaude",
|
||||
"normalized": {
|
||||
"repo": null,
|
||||
"ref": "refs/tags/v20251128.0",
|
||||
"commit": "1ac97404e8093791e046802c8f919a0e91974f62",
|
||||
"treeHash": "a3634bbd1e8b6f235738a59078674eea964bc637036f358f759e022fcafcbae3",
|
||||
"generatedAt": "2025-11-28T10:14:29.038449Z",
|
||||
"toolVersion": "publish_plugins.py@0.2.0"
|
||||
},
|
||||
"origin": {
|
||||
"remote": "git@github.com:zhongweili/42plugin-data.git",
|
||||
"branch": "master",
|
||||
"commit": "aa1497ed0949fd50e99e70d6324a29c5b34f9390",
|
||||
"repoRoot": "/Users/zhongweili/projects/openmind/42plugin-data"
|
||||
},
|
||||
"manifest": {
|
||||
"name": "superclaude",
|
||||
"description": "A comprehensive meta-programming framework that enhances Claude Code with intelligent agents, behavioral modes, and systematic workflows. Features include confidence-driven development (≥90% threshold), autonomous web research with adaptive planning, 94% token reduction through smart indexing, and integration with 8 MCP servers for enhanced capabilities.",
|
||||
"version": "4.1.6"
|
||||
},
|
||||
"content": {
|
||||
"files": [
|
||||
{
|
||||
"path": "README.md",
|
||||
"sha256": "3067a979d9c293c760e285f0610b7a7ff130c43b88aec47a0a211333e5de00fb"
|
||||
},
|
||||
{
|
||||
"path": "agents/deep-research.md",
|
||||
"sha256": "31d09ec6f550050db20bd08ce3810a60ac0e497b9de8b7a5bacb5f300c22b581"
|
||||
},
|
||||
{
|
||||
"path": "agents/self-review.md",
|
||||
"sha256": "2f92ff50928be5c02c98230f2d2a5b250a5f7b7c16d91acd68f9e0cb562b1da0"
|
||||
},
|
||||
{
|
||||
"path": "agents/repo-index.md",
|
||||
"sha256": "244018fd303b7a92e2416832f9880a2aee65f028482164a6da1431b115554ce1"
|
||||
},
|
||||
{
|
||||
"path": ".claude-plugin/plugin.json",
|
||||
"sha256": "62ba0cad873e6dcdb75335ce9fa85440214c5bd32f72d9781e1b033b65279ed1"
|
||||
},
|
||||
{
|
||||
"path": "commands/agent.md",
|
||||
"sha256": "e5271074a8113ca1f27d6e3e07e734944a38761b05b28be2f3b907832cc15246"
|
||||
},
|
||||
{
|
||||
"path": "commands/index-repo.md",
|
||||
"sha256": "fc4e204a2f5229802e3d4c16572047ae08ae9a7e11680429fcf764e3440f4faf"
|
||||
},
|
||||
{
|
||||
"path": "commands/research.md",
|
||||
"sha256": "056473a40245e83ae9492f72d6ca874acba19b90dd3dae05b87a5d22b956f0fb"
|
||||
},
|
||||
{
|
||||
"path": "skills/confidence-check/SKILL.md",
|
||||
"sha256": "ddbee1d49c7965597b2b9ce51af648f1fa27a5bb8845797a21ff898cfb578958"
|
||||
},
|
||||
{
|
||||
"path": "skills/confidence-check/confidence.ts",
|
||||
"sha256": "10967ea05cc83b06f6d093149e80f16d9f3f695e6f45b55f8f6ee4e5a2d252ad"
|
||||
}
|
||||
],
|
||||
"dirSha256": "a3634bbd1e8b6f235738a59078674eea964bc637036f358f759e022fcafcbae3"
|
||||
},
|
||||
"security": {
|
||||
"scannedAt": null,
|
||||
"scannerVersion": null,
|
||||
"flags": []
|
||||
}
|
||||
}
|
||||
124
skills/confidence-check/SKILL.md
Normal file
124
skills/confidence-check/SKILL.md
Normal file
@@ -0,0 +1,124 @@
|
||||
---
|
||||
name: Confidence Check
|
||||
description: Pre-implementation confidence assessment (≥90% required). Use before starting any implementation to verify readiness with duplicate check, architecture compliance, official docs verification, OSS references, and root cause identification.
|
||||
---
|
||||
|
||||
# Confidence Check Skill
|
||||
|
||||
## Purpose
|
||||
|
||||
Prevents wrong-direction execution by assessing confidence **BEFORE** starting implementation.
|
||||
|
||||
**Requirement**: ≥90% confidence to proceed with implementation.
|
||||
|
||||
**Test Results** (2025-10-21):
|
||||
- Precision: 1.000 (no false positives)
|
||||
- Recall: 1.000 (no false negatives)
|
||||
- 8/8 test cases passed
|
||||
|
||||
## When to Use
|
||||
|
||||
Use this skill BEFORE implementing any task to ensure:
|
||||
- No duplicate implementations exist
|
||||
- Architecture compliance verified
|
||||
- Official documentation reviewed
|
||||
- Working OSS implementations found
|
||||
- Root cause properly identified
|
||||
|
||||
## Confidence Assessment Criteria
|
||||
|
||||
Calculate confidence score (0.0 - 1.0) based on 5 checks:
|
||||
|
||||
### 1. No Duplicate Implementations? (25%)
|
||||
|
||||
**Check**: Search codebase for existing functionality
|
||||
|
||||
```bash
|
||||
# Use Grep to search for similar functions
|
||||
# Use Glob to find related modules
|
||||
```
|
||||
|
||||
✅ Pass if no duplicates found
|
||||
❌ Fail if similar implementation exists
|
||||
|
||||
### 2. Architecture Compliance? (25%)
|
||||
|
||||
**Check**: Verify tech stack alignment
|
||||
|
||||
- Read `CLAUDE.md`, `PLANNING.md`
|
||||
- Confirm existing patterns used
|
||||
- Avoid reinventing existing solutions
|
||||
|
||||
✅ Pass if uses existing tech stack (e.g., Supabase, UV, pytest)
|
||||
❌ Fail if introduces new dependencies unnecessarily
|
||||
|
||||
### 3. Official Documentation Verified? (20%)
|
||||
|
||||
**Check**: Review official docs before implementation
|
||||
|
||||
- Use Context7 MCP for official docs
|
||||
- Use WebFetch for documentation URLs
|
||||
- Verify API compatibility
|
||||
|
||||
✅ Pass if official docs reviewed
|
||||
❌ Fail if relying on assumptions
|
||||
|
||||
### 4. Working OSS Implementations Referenced? (15%)
|
||||
|
||||
**Check**: Find proven implementations
|
||||
|
||||
- Use Tavily MCP or WebSearch
|
||||
- Search GitHub for examples
|
||||
- Verify working code samples
|
||||
|
||||
✅ Pass if OSS reference found
|
||||
❌ Fail if no working examples
|
||||
|
||||
### 5. Root Cause Identified? (15%)
|
||||
|
||||
**Check**: Understand the actual problem
|
||||
|
||||
- Analyze error messages
|
||||
- Check logs and stack traces
|
||||
- Identify underlying issue
|
||||
|
||||
✅ Pass if root cause clear
|
||||
❌ Fail if symptoms unclear
|
||||
|
||||
## Confidence Score Calculation
|
||||
|
||||
```
|
||||
Total = Check1 (25%) + Check2 (25%) + Check3 (20%) + Check4 (15%) + Check5 (15%)
|
||||
|
||||
If Total >= 0.90: ✅ Proceed with implementation
|
||||
If Total >= 0.70: ⚠️ Present alternatives, ask questions
|
||||
If Total < 0.70: ❌ STOP - Request more context
|
||||
```
|
||||
|
||||
## Output Format
|
||||
|
||||
```
|
||||
📋 Confidence Checks:
|
||||
✅ No duplicate implementations found
|
||||
✅ Uses existing tech stack
|
||||
✅ Official documentation verified
|
||||
✅ Working OSS implementation found
|
||||
✅ Root cause identified
|
||||
|
||||
📊 Confidence: 1.00 (100%)
|
||||
✅ High confidence - Proceeding to implementation
|
||||
```
|
||||
|
||||
## Implementation Details
|
||||
|
||||
The TypeScript implementation is available in `confidence.ts` for reference, containing:
|
||||
|
||||
- `confidenceCheck(context)` - Main assessment function
|
||||
- Detailed check implementations
|
||||
- Context interface definitions
|
||||
|
||||
## ROI
|
||||
|
||||
**Token Savings**: Spend 100-200 tokens on confidence check to save 5,000-50,000 tokens on wrong-direction work.
|
||||
|
||||
**Success Rate**: 100% precision and recall in production testing.
|
||||
332
skills/confidence-check/confidence.ts
Normal file
332
skills/confidence-check/confidence.ts
Normal file
@@ -0,0 +1,332 @@
|
||||
/**
|
||||
* Confidence Check - Pre-implementation confidence assessment
|
||||
*
|
||||
* Prevents wrong-direction execution by assessing confidence BEFORE starting.
|
||||
* Requires ≥90% confidence to proceed with implementation.
|
||||
*
|
||||
* Token Budget: 100-200 tokens
|
||||
* ROI: 25-250x token savings when stopping wrong direction
|
||||
*
|
||||
* Test Results (2025-10-21):
|
||||
* - Precision: 1.000 (no false positives)
|
||||
* - Recall: 1.000 (no false negatives)
|
||||
* - 8/8 test cases passed
|
||||
*
|
||||
* Confidence Levels:
|
||||
* - High (≥90%): Root cause identified, solution verified, no duplication, architecture-compliant
|
||||
* - Medium (70-89%): Multiple approaches possible, trade-offs require consideration
|
||||
* - Low (<70%): Investigation incomplete, unclear root cause, missing official docs
|
||||
*/
|
||||
|
||||
import { existsSync, readdirSync } from 'fs';
|
||||
import { join, dirname } from 'path';
|
||||
|
||||
export interface Context {
|
||||
task?: string;
|
||||
test_file?: string;
|
||||
test_name?: string;
|
||||
markers?: string[];
|
||||
duplicate_check_complete?: boolean;
|
||||
architecture_check_complete?: boolean;
|
||||
official_docs_verified?: boolean;
|
||||
oss_reference_complete?: boolean;
|
||||
root_cause_identified?: boolean;
|
||||
confidence_checks?: string[];
|
||||
[key: string]: any;
|
||||
}
|
||||
|
||||
/**
|
||||
* Pre-implementation confidence assessment
|
||||
*
|
||||
* Usage:
|
||||
* const checker = new ConfidenceChecker();
|
||||
* const confidence = await checker.assess(context);
|
||||
*
|
||||
* if (confidence >= 0.9) {
|
||||
* // High confidence - proceed immediately
|
||||
* } else if (confidence >= 0.7) {
|
||||
* // Medium confidence - present options to user
|
||||
* } else {
|
||||
* // Low confidence - STOP and request clarification
|
||||
* }
|
||||
*/
|
||||
export class ConfidenceChecker {
|
||||
/**
|
||||
* Assess confidence level (0.0 - 1.0)
|
||||
*
|
||||
* Investigation Phase Checks:
|
||||
* 1. No duplicate implementations? (25%)
|
||||
* 2. Architecture compliance? (25%)
|
||||
* 3. Official documentation verified? (20%)
|
||||
* 4. Working OSS implementations referenced? (15%)
|
||||
* 5. Root cause identified? (15%)
|
||||
*
|
||||
* @param context - Task context with investigation flags
|
||||
* @returns Confidence score (0.0 = no confidence, 1.0 = absolute certainty)
|
||||
*/
|
||||
async assess(context: Context): Promise<number> {
|
||||
let score = 0.0;
|
||||
const checks: string[] = [];
|
||||
|
||||
// Check 1: No duplicate implementations (25%)
|
||||
if (this.noDuplicates(context)) {
|
||||
score += 0.25;
|
||||
checks.push("✅ No duplicate implementations found");
|
||||
} else {
|
||||
checks.push("❌ Check for existing implementations first");
|
||||
}
|
||||
|
||||
// Check 2: Architecture compliance (25%)
|
||||
if (this.architectureCompliant(context)) {
|
||||
score += 0.25;
|
||||
checks.push("✅ Uses existing tech stack (e.g., Supabase)");
|
||||
} else {
|
||||
checks.push("❌ Verify architecture compliance (avoid reinventing)");
|
||||
}
|
||||
|
||||
// Check 3: Official documentation verified (20%)
|
||||
if (this.hasOfficialDocs(context)) {
|
||||
score += 0.2;
|
||||
checks.push("✅ Official documentation verified");
|
||||
} else {
|
||||
checks.push("❌ Read official docs first");
|
||||
}
|
||||
|
||||
// Check 4: Working OSS implementations referenced (15%)
|
||||
if (this.hasOssReference(context)) {
|
||||
score += 0.15;
|
||||
checks.push("✅ Working OSS implementation found");
|
||||
} else {
|
||||
checks.push("❌ Search for OSS implementations");
|
||||
}
|
||||
|
||||
// Check 5: Root cause identified (15%)
|
||||
if (this.rootCauseIdentified(context)) {
|
||||
score += 0.15;
|
||||
checks.push("✅ Root cause identified");
|
||||
} else {
|
||||
checks.push("❌ Continue investigation to identify root cause");
|
||||
}
|
||||
|
||||
// Store check results for reporting
|
||||
context.confidence_checks = checks;
|
||||
|
||||
// Display checks
|
||||
console.log("📋 Confidence Checks:");
|
||||
checks.forEach(check => console.log(` ${check}`));
|
||||
console.log("");
|
||||
|
||||
return score;
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if official documentation exists
|
||||
*
|
||||
* Looks for:
|
||||
* - README.md in project
|
||||
* - CLAUDE.md with relevant patterns
|
||||
* - docs/ directory with related content
|
||||
*/
|
||||
private hasOfficialDocs(context: Context): boolean {
|
||||
// Check context flag first (for testing)
|
||||
if ('official_docs_verified' in context) {
|
||||
return context.official_docs_verified ?? false;
|
||||
}
|
||||
|
||||
// Check for test file path
|
||||
const testFile = context.test_file;
|
||||
if (!testFile) {
|
||||
return false;
|
||||
}
|
||||
|
||||
// Walk up directory tree to find project root (same logic as Python version)
|
||||
let projectRoot = dirname(testFile);
|
||||
|
||||
while (true) {
|
||||
// Check for documentation files
|
||||
if (existsSync(join(projectRoot, 'README.md'))) {
|
||||
return true;
|
||||
}
|
||||
if (existsSync(join(projectRoot, 'CLAUDE.md'))) {
|
||||
return true;
|
||||
}
|
||||
if (existsSync(join(projectRoot, 'docs'))) {
|
||||
return true;
|
||||
}
|
||||
|
||||
// Move up one directory
|
||||
const parent = dirname(projectRoot);
|
||||
if (parent === projectRoot) break; // Reached root (same as Python: parent != project_root)
|
||||
projectRoot = parent;
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
/**
|
||||
* Check for duplicate implementations
|
||||
*
|
||||
* Before implementing, verify:
|
||||
* - No existing similar functions/modules (Glob/Grep)
|
||||
* - No helper functions that solve the same problem
|
||||
* - No libraries that provide this functionality
|
||||
*
|
||||
* Returns true if no duplicates found (investigation complete)
|
||||
*/
|
||||
private noDuplicates(context: Context): boolean {
|
||||
// This is a placeholder - actual implementation should:
|
||||
// 1. Search codebase with Glob/Grep for similar patterns
|
||||
// 2. Check project dependencies for existing solutions
|
||||
// 3. Verify no helper modules provide this functionality
|
||||
return context.duplicate_check_complete ?? false;
|
||||
}
|
||||
|
||||
/**
|
||||
* Check architecture compliance
|
||||
*
|
||||
* Verify solution uses existing tech stack:
|
||||
* - Supabase project → Use Supabase APIs (not custom API)
|
||||
* - Next.js project → Use Next.js patterns (not custom routing)
|
||||
* - Turborepo → Use workspace patterns (not manual scripts)
|
||||
*
|
||||
* Returns true if solution aligns with project architecture
|
||||
*/
|
||||
private architectureCompliant(context: Context): boolean {
|
||||
// This is a placeholder - actual implementation should:
|
||||
// 1. Read CLAUDE.md for project tech stack
|
||||
// 2. Verify solution uses existing infrastructure
|
||||
// 3. Check not reinventing provided functionality
|
||||
return context.architecture_check_complete ?? false;
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if working OSS implementations referenced
|
||||
*
|
||||
* Search for:
|
||||
* - Similar open-source solutions
|
||||
* - Reference implementations in popular projects
|
||||
* - Community best practices
|
||||
*
|
||||
* Returns true if OSS reference found and analyzed
|
||||
*/
|
||||
private hasOssReference(context: Context): boolean {
|
||||
// This is a placeholder - actual implementation should:
|
||||
// 1. Search GitHub for similar implementations
|
||||
// 2. Read popular OSS projects solving same problem
|
||||
// 3. Verify approach matches community patterns
|
||||
return context.oss_reference_complete ?? false;
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if root cause is identified with high certainty
|
||||
*
|
||||
* Verify:
|
||||
* - Problem source pinpointed (not guessing)
|
||||
* - Solution addresses root cause (not symptoms)
|
||||
* - Fix verified against official docs/OSS patterns
|
||||
*
|
||||
* Returns true if root cause clearly identified
|
||||
*/
|
||||
private rootCauseIdentified(context: Context): boolean {
|
||||
// This is a placeholder - actual implementation should:
|
||||
// 1. Verify problem analysis complete
|
||||
// 2. Check solution addresses root cause
|
||||
// 3. Confirm fix aligns with best practices
|
||||
return context.root_cause_identified ?? false;
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if existing patterns can be followed
|
||||
*
|
||||
* Looks for:
|
||||
* - Similar test files
|
||||
* - Common naming conventions
|
||||
* - Established directory structure
|
||||
*/
|
||||
private hasExistingPatterns(context: Context): boolean {
|
||||
const testFile = context.test_file;
|
||||
if (!testFile) {
|
||||
return false;
|
||||
}
|
||||
|
||||
const testDir = dirname(testFile);
|
||||
|
||||
// Check for other test files in same directory
|
||||
if (existsSync(testDir)) {
|
||||
try {
|
||||
const files = readdirSync(testDir);
|
||||
const testFiles = files.filter(f =>
|
||||
f.startsWith('test_') && f.endsWith('.py')
|
||||
);
|
||||
return testFiles.length > 1;
|
||||
} catch {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if implementation path is clear
|
||||
*
|
||||
* Considers:
|
||||
* - Test name suggests clear purpose
|
||||
* - Markers indicate test type
|
||||
* - Context has sufficient information
|
||||
*/
|
||||
private hasClearPath(context: Context): boolean {
|
||||
// Check test name clarity
|
||||
const testName = context.test_name ?? '';
|
||||
if (!testName || testName === 'test_example') {
|
||||
return false;
|
||||
}
|
||||
|
||||
// Check for markers indicating test type
|
||||
const markers = context.markers ?? [];
|
||||
const knownMarkers = new Set([
|
||||
'unit', 'integration', 'hallucination',
|
||||
'performance', 'confidence_check', 'self_check'
|
||||
]);
|
||||
|
||||
const hasMarkers = markers.some(m => knownMarkers.has(m));
|
||||
|
||||
return hasMarkers || testName.length > 10;
|
||||
}
|
||||
|
||||
/**
|
||||
* Get recommended action based on confidence level
|
||||
*
|
||||
* @param confidence - Confidence score (0.0 - 1.0)
|
||||
* @returns Recommended action
|
||||
*/
|
||||
getRecommendation(confidence: number): string {
|
||||
if (confidence >= 0.9) {
|
||||
return "✅ High confidence (≥90%) - Proceed with implementation";
|
||||
} else if (confidence >= 0.7) {
|
||||
return "⚠️ Medium confidence (70-89%) - Continue investigation, DO NOT implement yet";
|
||||
} else {
|
||||
return "❌ Low confidence (<70%) - STOP and continue investigation loop";
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Legacy function-based API for backward compatibility
|
||||
*
|
||||
* @deprecated Use ConfidenceChecker class instead
|
||||
*/
|
||||
export async function confidenceCheck(context: Context): Promise<number> {
|
||||
const checker = new ConfidenceChecker();
|
||||
return checker.assess(context);
|
||||
}
|
||||
|
||||
/**
|
||||
* Legacy getRecommendation for backward compatibility
|
||||
*
|
||||
* @deprecated Use ConfidenceChecker.getRecommendation() instead
|
||||
*/
|
||||
export function getRecommendation(confidence: number): string {
|
||||
const checker = new ConfidenceChecker();
|
||||
return checker.getRecommendation(confidence);
|
||||
}
|
||||
Reference in New Issue
Block a user