--- name: ctx:help description: Example-first command reference and quick start guide keywords: - help - examples - quick start - how to use - show examples - command reference - getting started --- # Contextune Help - Quick Start Guide **Just type naturallyβ€”Contextune detects your intent automatically!** --- ## ✨ Try These Examples (Copy & Paste) ### πŸ” Fast Research (1-2 min, ~$0.07) ``` research best React state management library for 2025 ``` β†’ Spawns 3 parallel agents (web + codebase + deps) β†’ Returns comparison table + recommendation β†’ 67% cost reduction with parallel agents ### ⚑ Parallel Development (1.5-3x measured speedup) ``` work on authentication, dashboard, and API in parallel ``` β†’ Creates development plan with task breakdown β†’ Sets up git worktrees for parallel execution β†’ Spawns agents to work simultaneously ### πŸ’‘ Feature Discovery ``` what can Contextune do? ``` β†’ Activates intent-recognition skill β†’ Shows all capabilities with examples β†’ Guides you to the right commands --- ## πŸ“š Most Used Commands ### `/ctx:research ` Fast technical research using 3 parallel Haiku agents. **Examples:** ```bash /ctx:research best database for user authentication /ctx:research should I use REST or GraphQL /ctx:research latest TypeScript testing frameworks ``` **What you get:** - Web research (latest trends, comparisons) - Codebase analysis (what already exists) - Dependency check (what's installed vs needed) - Recommendation with reasoning **Execution:** Fast parallel | **Cost:** ~$0.07 --- ### `/ctx:status` Monitor progress across all parallel worktrees. **Shows:** - Active worktrees and their branches - Task completion status - Git commit history per worktree - Next steps and blockers **Use when:** Working on parallel tasks and want overview --- ### `/ctx:configure` Setup guide for persistent status bar integration. **Enables:** - Real-time detection display in status bar - Zero context overhead (file-based) - See what Contextune detected without cluttering chat **One-time setup:** Adds statusline script to your config --- ## πŸ”§ Advanced Workflow Commands ### `/ctx:plan` Document development plan for parallel execution. **Creates:** - Modular YAML plan with task breakdown - Dependency graph (parallel vs sequential tasks) - Resource allocation strategy - Time and cost estimates **Example:** ```bash /ctx:plan # Then describe your features: # "I need user auth, admin dashboard, and payment integration" ``` **Output:** `.parallel/plans/active/plan.yaml` --- ### `/ctx:execute` Execute development plan in parallel using git worktrees. **What happens:** 1. Reads plan from `.parallel/plans/active/plan.yaml` 2. Creates git worktrees for each task 3. Spawns parallel agents to work independently 4. Creates PRs when tasks complete 5. Reports progress and costs **Prerequisites:** - Git repository with remote - GitHub CLI (`gh`) authenticated - Existing plan (run `/ctx:plan` first) **Performance:** Measured speedup typically 1.5-3x on completed workflows **Cost savings:** 81% cheaper with Haiku agents ($0.27 vs $1.40 per workflow) --- ### `/ctx:cleanup` Clean up completed worktrees and branches. **Removes:** - Merged worktrees - Completed task branches - Temporary files **Safe:** Only cleans up merged/completed work --- ### `/ctx:stats` View detailed usage statistics and performance metrics. **Shows:** - Detection accuracy breakdown - Cost savings vs manual work - Performance metrics (latency, throughput) - Most-used commands **Validates claims:** See actual 81% cost reduction data --- ## 🎯 Natural Language Detection You don't need to memorize commands! Just type what you want: | What You Type | Contextune Detects | Confidence | |--------------|-------------------|------------| | "analyze my code" | `/sc:analyze` | 85% (keyword) | | "run the tests" | `/sc:test` | 85% (keyword) | | "research best approach" | `/ctx:research` | 92% (keyword) | | "work in parallel" | `/ctx:execute` | 88% (keyword) | | "review performance" | `/sc:improve` | 85% (keyword) | | "explain this code" | `/sc:explain` | 85% (keyword) | **Detection tiers:** - **Keyword** (0.02ms) - 60% of queries, instant - **Model2Vec** (0.2ms) - 30% of queries, fast embeddings - **Semantic Router** (50ms) - 10% of queries, LLM-based --- ## πŸ€– Auto-Activated Skills These skills activate automatically when you mention certain topics: ### `parallel-development-expert` **Triggers:** "parallel", "concurrent", "speed up", "work on multiple" **Does:** - Analyzes if tasks are parallelizable - Calculates time savings - Suggests `/ctx:plan` and `/ctx:execute` - Guides worktree setup ### `intent-recognition` **Triggers:** "what can you do", "capabilities", "features", "help" **Does:** - Shows Contextune capabilities - Provides natural language examples - Explains detection system - Guides to relevant commands ### `git-worktree-master` **Triggers:** "worktree stuck", "can't remove", "locked", "worktree error" **Does:** - Diagnoses worktree issues - Suggests safe fixes - Handles lock file cleanup - Prevents data loss ### `performance-optimizer` **Triggers:** "slow", "performance", "optimize", "bottleneck" **Does:** - Benchmarks workflow performance - Identifies bottlenecks - Calculates speedup potential - Suggests optimizations --- ## πŸš€ Quick Start Workflow **1. First-Time Setup (Optional, 2 min)** ```bash /ctx:configure ``` β†’ Sets up status bar integration for persistent detection display **2. Fast Research (When You Need to Decide)** ``` research best authentication library for Python ``` β†’ Get answer in 1-2 min with comparison table **3. Parallel Development (When You Have Multiple Tasks)** ``` work on user auth, admin panel, and reports in parallel ``` β†’ Contextune creates plan + worktrees + executes **4. Monitor Progress** ```bash /ctx:status ``` β†’ See what's happening across all parallel tasks **5. Clean Up When Done** ```bash /ctx:cleanup ``` β†’ Remove merged worktrees and branches --- ## πŸ’° Cost Optimization Contextune uses **Haiku agents** for 81% cost reduction: | Operation | Sonnet Cost | Haiku Cost | Savings | |-----------|-------------|------------|---------| | Research (3 agents) | $0.36 | $0.07 | 81% | | Task execution | $0.27 | $0.04 | 85% | | Worktree management | $0.06 | $0.008 | 87% | **Annual savings:** ~$1,350 for typical usage (1,200 workflows/year) Run `/ctx:stats` to see YOUR actual savings! --- ## πŸ”§ Configuration Files ### Plan Structure ``` .parallel/ β”œβ”€β”€ plans/ β”‚ β”œβ”€β”€ 20251025-120000/ # Timestamped plan directories β”‚ β”‚ β”œβ”€β”€ plan.yaml # Main plan file β”‚ β”‚ └── tasks/ # Individual task files β”‚ └── active -> 20251025-120000/ # Symlink to current plan └── scripts/ β”œβ”€β”€ setup_worktrees.sh # Worktree creation script └── create_prs.sh # PR creation script ``` ### Detection Data ``` .contextune/ └── last_detection # JSON with latest detection # Read by status bar script ``` --- ## πŸ“– More Resources - **README:** Full feature list and architecture - **GitHub:** https://github.com/Shakes-tzd/contextune - **Issues:** Report bugs or request features --- ## πŸ†˜ Common Questions **Q: Do I need to memorize slash commands?** A: No! Just type naturally. Contextune detects intent automatically. **Q: Does this slow down Claude Code?** A: No. Hook adds <2ms latency for 90% of queries. **Q: Does it work offline?** A: Yes! Keyword + Model2Vec tiers work offline (90% coverage). **Q: Can I customize detection patterns?** A: Yes! Edit `~/.claude/plugins/contextune/data/user_patterns.json` **Q: How do I see detection stats?** A: Run `/ctx:stats` to see accuracy, performance, and cost metrics. --- **πŸ’‘ Tip:** Type "what can Contextune do?" right now to see the intent-recognition skill in action!