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writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Use when you have a spec or requirements for a multi-step task, before touching code
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Run a safe Grok Build code review of a branch or explicitly requested local changes. Use when an external Grok review is requested for correctness, architecture, maintainability, regressions, or missing tests; the workflow invokes Grok's native /review skill, preserves durable artifacts, and never edits or publishes changes.
Run Fable, Grok, and Thermo-Nuclear code reviews concurrently against one validated, immutable Git scope, while preserving separate outputs and reporting partial failures. Use when the user explicitly asks for a parallel, three-reviewer, multi-model, or strongest available code review of a PR, branch, commit range, or comparison with main.
Use zmx for durable, long-running processes that must persist beyond the current agent session, such as an app server the user will test later.
Fetch CI build results and diagnose failures. Auto-detects provider from project files or URLs. Supports GitHub Actions, Buildkite, and CircleCI.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Use when you have a written implementation plan to execute
| name | writing-plans |
| description | Use when you have a spec or requirements for a multi-step task, before touching code |
| metadata | {"category":"superpowers"} |
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."
Save plans to: docs/plans/YYYY-MM-DD-<feature-name>.md
If the spec covers multiple independent subsystems, it should have been broken into sub-project specs during brainstorming. If it wasn't, suggest breaking this into separate plans — one per subsystem. Each plan should produce working, testable software on its own.
If the spec has not been through an architecture review and the work changes domain ownership, service boundaries, public APIs, auth, persistence, orchestration, or error contracts, stop and request an architecture-reviewer pass before writing the implementation plan.
Before defining tasks, map out which files will be created or modified and what each one is responsible for. This is where decomposition decisions get locked in.
This structure informs the task decomposition. Each task should produce self-contained changes that make sense independently.
Each step is one action (2-5 minutes):
Every plan MUST start with this header:
# [Feature Name] Implementation Plan
> REQUIRED SUB-SKILL: Use superpowers:executing-plans skill to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
**Goal:** [One sentence describing what this builds]
**Architecture:** [2-3 sentences about approach]
**Tech Stack:** [Key technologies/libraries]
---
### 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"
```
After writing the complete plan:
Review loop guidance:
After saving the plan:
"Plan saved to docs/plans/<filename>.md. Ready to execute?"
If yes:
If no / new session preferred: