gh-seangsisg-crispy-claude-cc/skills/writing-plans/SKILL.md

name, description

name	description
writing-plans	Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge

Writing Plans

Overview

Write comprehensive implementation plans assuming the engineer has zero context for our codebase and questionable taste. Document everything they need to know: which files to touch for each task, code, testing, docs they might need to check, how to test it. Give them the whole plan as bite-sized tasks. DRY. YAGNI. TDD. Frequent commits.

Assume they are a skilled developer, but know almost nothing about our toolset or problem domain. Assume they don't know good test design very well.

Announce at start: "I'm using the writing-plans skill to create the implementation plan."

Context: This should be run in a dedicated worktree (created by brainstorming skill).

Save plans to: docs/plans/YYYY-MM-DD-<feature-name>.md

Bite-Sized Task Granularity

Each step is one action (2-5 minutes):

• "Write the failing test" - step
• "Run it to make sure it fails" - step
• "Implement the minimal code to make the test pass" - step
• "Run the tests and make sure they pass" - step
• "Commit" - step

Plan Document Header

Every plan MUST start with this header:

# [Feature Name] Implementation Plan

> **For Claude:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task.

**Goal:** [One sentence describing what this builds]

**Architecture:** [2-3 sentences about approach]

**Tech Stack:** [Key technologies/libraries]

---

Task Structure

### Task N: [Component Name]

**Files:**
- Create: `exact/path/to/file.py`
- Modify: `exact/path/to/existing.py:123-145`
- Test: `tests/exact/path/to/test.py`

**Step 1: Write the failing test**

```python
def test_specific_behavior():
    result = function(input)
    assert result == expected

Step 2: Run test to verify it fails

Run: pytest tests/path/test.py::test_name -v Expected: FAIL with "function not defined"

Step 3: Write minimal implementation

def function(input):
    return expected

Step 4: Run test to verify it passes

Run: pytest tests/path/test.py::test_name -v Expected: PASS

Step 5: Commit

git add tests/path/test.py src/path/file.py
git commit -m "feat: add specific feature"

## Remember
- Exact file paths always
- Complete code in plan (not "add validation")
- Exact commands with expected output
- Reference relevant skills with @ syntax
- DRY, YAGNI, TDD, frequent commits

## Execution Handoff

After saving the plan, present execution options:

Plan complete and saved to docs/plans/${filename}.md.

Recommended Next Step: /cc:parse-plan

Decompose this plan into parallel task files. This enables:

• Up to 2 tasks executing concurrently per batch
• ~40% faster execution for parallelizable plans
• 90% context reduction per task

Best for: Plans with 4+ tasks

Alternative: Execute Without Decomposition

Use sequential execution via subagent-driven-development.

• Best for simple plans (1-3 tasks)
• Simpler flow, no decomposition overhead
• One task at a time

Important

Decomposition is REQUIRED for parallel execution. Always decompose plans with 4+ tasks to enable parallel-subagent-driven-development.

---

Which approach? A) Decompose plan (/cc:parse-plan) - Recommended B) Execute sequentially without decomposition C) Exit (run manually later)

**If user chooses A:**
- Invoke `decomposing-plans` skill
- Proceed with decomposition workflow

**If user chooses B:**
- Invoke `subagent-driven-development` skill
- Execute tasks sequentially from monolithic plan

**If user chooses C:**
- Exit workflow
- User can run `/cc:parse-plan` or execution commands later