본문으로 건너뛰기
cccskills
무료GitHub에 공개

writing-plans

Convert requirements into a detailed implementation plan before coding begins. Break work into small actions with exact file paths, code examples, test commands, expected results, and commit steps so another developer can follow the plan.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

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

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Turning a feature specification into implementation steps
  • Preparing a development handoff
  • Planning tests before implementation
  • Breaking a large change into small tasks

포함된 파일(1)

  • SKILL.md3.2 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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]

---

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**

```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

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

adaptyv

무료

Support experimental validation of designed proteins through a cloud laboratory. Prepare and optimize sequences, submit tests for binding, expression, thermal stability, or enzyme activity, track experiment progress, and retrieve results through the API.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Submit designed proteins for binding tests
  • Request expression, thermal stability, or enzyme activity tests
  • Optimize sequences for solubility before experiments
foryourhealth111-pixel/Vibe-Skills3.8천2026년 10월 23일 업데이트

aeon

무료

Analyze time series, observations ordered over time, using aeon in Python. Build classification, prediction, and clustering workflows, detect unusual patterns or changes, and compare methods through an interface compatible with scikit-learn.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Classifying time series by their patterns
  • Forecasting future values from past observations
  • Detecting anomalies and change points
foryourhealth111-pixel/Vibe-Skills3.8천2026년 10월 23일 업데이트

Create original generative art with p5.js, using code to produce patterns and motion. Receive a written artistic concept and an interactive HTML viewer with adjustable parameters, reproducible random variations, seed navigation, and PNG downloads.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Create art from particle motion and flow fields
  • Explore patterns by adjusting sliders
  • Reproduce a favorite variation with the same seed
foryourhealth111-pixel/Vibe-Skills3.8천2026년 10월 23일 업데이트

Retrieve stock prices, exchange rates, cryptocurrency prices, company financial statements, and economic indicators through the Alpha Vantage API. It also covers historical data, news sentiment, and technical indicators, which summarize price and trading patterns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Retrieve historical stock prices and trading volumes
  • Collect company financial statements and earnings data
  • Check foreign exchange and cryptocurrency prices
foryourhealth111-pixel/Vibe-Skills3.8천2026년 10월 23일 업데이트

Design backend systems with clear boundaries between business rules, databases, and external services. Use Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to organize new applications, refactor existing code, and make core logic easier to test.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Planning the structure of a new backend
  • Refactoring tightly coupled applications
  • Testing business rules independently of external services
foryourhealth111-pixel/Vibe-Skills3.8천2026년 10월 23일 업데이트

astropy

무료

Helps process astronomical data in Python by converting coordinates, units, and time scales, working with FITS observation files, matching object catalogs, and calculating distances using cosmological models.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Converting celestial coordinates
  • Reading and editing FITS observation files
  • Matching objects across astronomical catalogs
foryourhealth111-pixel/Vibe-Skills3.8천2026년 10월 23일 업데이트

foryourhealth111-pixel의 스킬 모두 보기

이 스킬의 문제 신고