writing-plans

ederheisler's avatarfrom ederheisler

Use when you have a spec or requirements for a multi-step task, before touching code

0stars🔀0forks📁View on GitHub🕐Updated Jan 11, 2026

When & Why to Use This Skill

The writing-plans skill is a specialized tool for transforming high-level technical specifications into granular, actionable implementation plans. It bridges the gap between requirements and execution by generating a structured roadmap that emphasizes Test-Driven Development (TDD), DRY principles, and atomic commits, ensuring high-quality code delivery even in complex or unfamiliar codebases.

Use Cases

  • Technical Roadmap Generation: Converting a product requirement document (PRD) or feature spec into a step-by-step technical execution plan with specific file paths and logic.
  • Enforcing TDD Workflows: Automatically defining failing test cases and minimal implementation steps to ensure code quality and test coverage from the start.
  • Developer Onboarding and Handoff: Creating comprehensive documentation for tasks that allows developers with zero context to implement features correctly by following bite-sized instructions.
  • Complex Refactoring Management: Breaking down large-scale code changes into 2-5 minute atomic tasks to minimize errors and facilitate frequent, clean git commits.
  • Subagent Orchestration: Preparing structured plans that can be handed off to specialized subagents for automated parallel execution and review.
namewriting-plans
descriptionUse when you have a spec or requirements for a multi-step task, before touching code
authorobra
version"1.0"

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]

---
```text

## Task Structure

```markdown
### 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
```text

### Step 4: Run test to verify it passes

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

### Step 5: Commit

```bash
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, offer execution choice:

**"Plan complete and saved to `docs/plans/<filename>.md`. Two execution options:**

**1. Subagent-Driven (this session)** - I dispatch fresh subagent per task, review between tasks, fast iteration

**2. Parallel Session (separate)** - Open new session with executing-plans, batch execution with checkpoints

**Which approach?"**

**If Subagent-Driven chosen:**
- **REQUIRED SUB-SKILL:** Use superpowers:subagent-driven-development
- Stay in this session
- Fresh subagent per task + code review

**If Parallel Session chosen:**
- Guide them to open new session in worktree
- **REQUIRED SUB-SKILL:** New session uses superpowers:executing-plans