writing-plans

barrydobson's avatarfrom barrydobson

Create detailed implementation plans with bite-sized tasks for engineers with zero codebase context

⭐0stars🔀0forks📁View on GitHub🕐Updated Dec 2, 2025

When & Why to Use This Skill

The Writing Plans skill streamlines the software development lifecycle by generating granular, TDD-aligned implementation blueprints. It transforms high-level designs into actionable, bite-sized tasks with exact file paths and code snippets, enabling seamless execution for developers or AI agents regardless of their familiarity with the existing codebase.

Use Cases

  • Onboarding Context-Free Developers: Generate detailed guides that allow new team members to contribute immediately by following precise, step-by-step instructions without needing prior codebase knowledge.
  • Agent-to-Agent Handoff: Create structured markdown plans that can be parsed and executed by sub-agents or parallel AI sessions for autonomous, task-by-task implementation.
  • Enforcing Engineering Best Practices: Automatically integrate Test-Driven Development (TDD), DRY principles, and frequent commit habits into the project's planning phase to ensure high code quality.
  • Complex Feature Scoping: Deconstruct large-scale technical requirements into manageable 2-5 minute tasks to ensure predictable delivery, easier code reviews, and reduced technical debt.
nameWriting Plans
descriptionCreate detailed implementation plans with bite-sized tasks for engineers with zero codebase context
when_to_useAfter brainstorming/design is complete. Before implementation begins. When delegating to another developer or session. When brainstorming skill hands off to planning.
version2.0.0

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:** Use `@skills/collaboration/executing-plans/SKILL.md` 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, 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:**
- Use skills/collaboration/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
- New session uses skills/collaboration/executing-plans