writing-plans

timbuchinger's avatarfrom timbuchinger

Use when design is complete and you need detailed implementation tasks - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming minimal codebase familiarity

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When & Why to Use This Skill

The Writing Plans skill is a specialized developer tool designed to bridge the gap between high-level software design and technical execution. It automates the creation of exhaustive, step-by-step implementation roadmaps that include exact file paths, copy-pasteable code examples, and precise verification commands. By enforcing TDD principles and atomic task granularity, it ensures that even developers or AI agents unfamiliar with a specific codebase can execute complex features with high confidence and minimal errors.

Use Cases

  • Feature Handoff: Generate a comprehensive implementation guide for delegating tasks to junior developers or other AI agents, ensuring they follow project-specific patterns and file structures.
  • Test-Driven Development (TDD) Workflow: Automatically break down a feature into a sequence of 'red-green-refactor' steps, including the exact test code and the minimal implementation needed to pass.
  • Complex Refactoring: Plan large-scale code changes by identifying every file that needs modification and defining 2-5 minute atomic tasks to maintain system stability throughout the process.
  • Technical Documentation: Create standardized implementation logs in `docs/plans/` that serve as a historical record of why and how specific architectural decisions were implemented.
  • Onboarding & Codebase Exploration: Use the plan generation to help new team members understand the necessary touchpoints for common tasks within a complex, unfamiliar directory structure.
namewriting-plans
descriptionUse when design is complete and you need detailed implementation tasks - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming minimal codebase familiarity

Writing Plans

Overview

Write comprehensive implementation plans assuming limited codebase context. Document everything needed: which files to touch for each task, code examples, testing approach, verification steps. Break work into bite-sized tasks following DRY, YAGNI, and TDD principles with frequent commits.

Assume the implementer is skilled but unfamiliar with the specific codebase and tooling.

When to Use

  • Design is complete and ready for implementation
  • Need to break down work into concrete tasks
  • Preparing work for delegation or future execution
  • Want clear verification steps for each task

Plan Location

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

Break larger tasks into these atomic steps. Each step should be independently verifiable.

Plan Document Header

Every plan MUST start with this header:

# [Feature Name] Implementation Plan

**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"

Essential Elements

Exact File Paths

Always specify complete paths:

  • Good: src/auth/validators.py
  • Bad: "the validators file"

For modifications, include line ranges if known: config.json:45-52

Complete Code Examples

Include full, working code in the plan:

  • Good: Show the complete function/test
  • Bad: "Add validation for email field"

The implementer should be able to copy-paste code from the plan.

Exact Commands

Specify complete commands with expected output:

# Run specific test
pytest tests/auth/test_login.py::test_invalid_email -v

# Expected output
FAIL: AssertionError: Expected validation error

Verification Steps

Each task should explain how to verify it worked:

  • What command to run
  • What output to expect
  • What to check manually if needed

Commit Guidelines

Encourage frequent, atomic commits:

  • One logical change per commit
  • Meaningful commit messages
  • Follow conventional commits format:
    • feat: for new features
    • fix: for bug fixes
    • refactor: for code changes without behavior change
    • test: for test-only changes
    • docs: for documentation

Example Task

### Task 1: Email Validation

**Files:**

- Create: `src/validators/email.py`
- Test: `tests/validators/test_email.py`

**Step 1: Write the failing test**

```python
# tests/validators/test_email.py
from src.validators.email import validate_email

def test_rejects_invalid_email():
    result = validate_email("notanemail")
    assert result == {"valid": False, "error": "Invalid format"}

def test_accepts_valid_email():
    result = validate_email("user@example.com")
    assert result == {"valid": True}

Step 2: Run test to verify it fails

Run: pytest tests/validators/test_email.py -v Expected: FAIL with "ModuleNotFoundError: No module named 'src.validators.email'"

Step 3: Write minimal implementation

# src/validators/email.py
import re

def validate_email(email):
    pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
    if re.match(pattern, email):
        return {"valid": True}
    return {"valid": False, "error": "Invalid format"}

Step 4: Run test to verify it passes

Run: pytest tests/validators/test_email.py -v Expected: PASS (2 tests)

Step 5: Commit

git add tests/validators/test_email.py src/validators/email.py
git commit -m "feat: add email validation"

Best Practices

Be specific:

  • Use exact file paths and line numbers
  • Show complete code, not pseudocode
  • Specify exact commands to run

Be minimal:

  • Follow YAGNI - don't add features not in requirements
  • Keep implementations simple
  • Add complexity only when tests demand it

Be testable:

  • Every feature has tests
  • Tests written before implementation (TDD)
  • Clear verification steps

Be incremental:

  • Small commits after each working change
  • Each task independently deliverable
  • Build progressively

Common Mistakes to Avoid

  • Don't write "add validation" - show the exact validation code
  • Don't write "update config" - show exact config changes
  • Don't skip test commands - always show how to verify
  • Don't make tasks too large - break down into 2-5 minute steps
  • Don't assume knowledge of project structure - specify full paths

Quick Reference

Element Required Example
File paths Always exact src/auth/login.py
Code examples Complete & working Full function/test
Commands With expected output pytest path/test.py -v → PASS
Commits After each task git commit -m "feat: add feature"
Granularity 2-5 min per step One action per step

Final Rule

Plans should be executable by someone skilled but unfamiliar.
Every step: exact paths, complete code, clear verification.

Clear plans enable confident execution.