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writing-plans

Creates detailed implementation plans for engineers with no codebase context. Provides exact file paths, complete code examples, and verification steps. Follows TDD principles with bite-sized tasks (2-5 minutes each) and includes git commit instructions. Assumes minimal domain knowledge.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
10
Hot score
84
Updated
March 19, 2026
Overall rating
A8.2
Composite score
5.3
Best-practice grade
A88.4

Install command

npx @skill-hub/cli install jackspace-claudeskillz-writing-plans-obra
implementation-planningtask-decompositiontdd-workflowcodebase-onboardingdeveloper-documentation

Repository

jackspace/ClaudeSkillz

Skill path: skills/writing-plans_obra

Creates detailed implementation plans for engineers with no codebase context. Provides exact file paths, complete code examples, and verification steps. Follows TDD principles with bite-sized tasks (2-5 minutes each) and includes git commit instructions. Assumes minimal domain knowledge.

Open repository

Best for

Primary workflow: Research & Ops.

Technical facets: Full Stack, Tech Writer, Testing.

Target audience: Engineering teams onboarding new developers, teams needing detailed implementation documentation, projects following strict TDD methodology.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: jackspace.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install writing-plans into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/jackspace/ClaudeSkillz before adding writing-plans to shared team environments
  • Use writing-plans for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
name: writing-plans
description: 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:**

```markdown
# [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

```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**

```python
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**

```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
writing-plans | SkillHub