writing-plans

spacholski1225's avatarfrom spacholski1225

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

⭐2stars🔀0forks📁View on GitHub🕐Updated Jan 8, 2026

When & Why to Use This Skill

The Writing Plans skill automates the creation of high-precision technical implementation plans, bridging the gap between high-level design and execution. It is specifically engineered to help developers—even those with zero codebase context—implement features by decomposing complex requirements into granular, bite-sized tasks (2-5 minutes each). By enforcing rigorous standards such as Test-Driven Development (TDD), DRY principles, and frequent commits, the skill ensures architectural consistency and high code quality while providing exact file paths, code snippets, and verification commands to minimize errors.

Use Cases

  • Accelerating developer onboarding by providing 'zero-context' implementation guides that allow new team members to contribute immediately.
  • Decomposing large-scale software requirements into actionable, TDD-compliant task sequences to reduce technical debt.
  • Standardizing implementation workflows across engineering teams to ensure consistent application of coding standards and testing protocols.
  • Generating structured execution roadmaps for AI sub-agents to perform autonomous, precise code modifications within a dedicated worktree.
nameWriting Plans
descriptionCreate detailed implementation plans with bite-sized tasks for engineers with zero codebase context
when_to_usewhen design is complete and you need detailed implementation tasks for engineers with zero codebase context
version2.1.0

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:** Use `${CC_SKILLS_ROOT}/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