skill
Writing Plans
نبذة
# Writing Plans
## Overview
Write implementation plans for an engineer who has not seen this codebase or this spec. Assume they write idiomatic code in the project's language once they know the exact interface and the exact test, and that they will make a reasonable choice wherever the plan leaves one open. What they cannot know is what you decided: which files, which names and signatures, which values from the spec, which tests prove each task. Document those. Give them the whole plan as bite-sized tasks. DRY. YAGNI. TDD. Frequent commits.
**Announce at start:** "I'm using the writing-plans skill to create the implementation plan."
**Context:** If working in an isolated worktree, it should have been created via the `superpowers:using-git-worktrees` skill at execution time.
**Save plans to:** `docs/superpowers/plans/YYYY-MM-DD-<feature-name>.md` - (User preferences for plan location override this default)
## Scope Check
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.
## File Structure
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.
- Design units with clear boundaries and well-defined interfaces. Each file should have one clear responsibility. - You reason best about code you can hold in context at once, and your edits are more reliable when files are focused. Prefer smaller, focused files over large ones that do too much. - Files that change together should live together. Split by responsibility, not by technical layer. - In existing codebases, follow established patterns. If the codebase uses large files, don't unilaterally restructure - but if a file you're modifying has grown unwieldy, including a split in the plan is reasonable.
This structure informs the task decomposition. Each task should produce self-contained changes that make sense independently.
## Task Right-Sizing
A task is the smallest unit that carries its own test cycle and is worth a fresh reviewer's gate. When drawing task boundaries: fold setup, configuration, scaffolding, and documentation steps into the task whose deliverable needs them; split only where a reviewer could meaningfully reject one task while approving its neighbor. Each task ends with an independently testable deliverable.
## Step Granularity
**Each step is one action with a checkable result:** - "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 agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans 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]
**Spec:** [path to the spec/design doc this plan implements — the plan argues from the spec, so the spec travels with it; executors read both]
## Global Constraints
[The spec's project-wide requirements — version floors, dependency limits, naming and copy rules, platform requirements — one line each, with exact values copied verbatim from the spec. Every task's requirements implicitly include this section.]
## Review Focus
[The five input classes or failure modes the spec implies but no task's tests exercise that are most likely to bite a person using this software — one line each, naming the input or condition and the behavior a reasonable person would expect, most likely first. The spec is a vision document: it says what the software must do, not everything it will meet, and its silence on an input is not permission for that input to break the program. Write the list here, once, with the spec in front of you. Then, for each line, add the test that pins it to the task that owns the code, in that task's own step style.]
--- ```
## 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`
**Interfaces:** - Consumes: [what this task uses from earlier tasks — exact signatures] - Produces: [what later tasks rely on — exact function names, parameter and return types. A task's implementer sees only their own task; this block is how they learn the names and types neighboring tasks use.]
- [ ] **Step 1: Write the failing test**
```python def test_specific_behavior(): result = function(input) assert result == expected `
التثبيت
شغل هذا الأمر
npx skills add obra/superpowersيعمل مع
خطوات التثبيت
Install with `npx skills add obra/superpowers`, or clone the repository and copy the `skills/writing-plans` folder into your Claude skills directory.
أسئلة شائعة
كيف أثبت Writing Plans؟
شغل هذا الأمر في الطرفية:
npx skills add obra/superpowersمع أي أدوات ذكاء اصطناعي تعمل Writing Plans؟
تعمل مع claude_app، claude_code، claude_api، cursor، codex، windsurf، cline، zed.
من طور Writing Plans؟
طورها obra.
هل Writing Plans مجانية؟
نعم، يمكنك استخدامها مجانا.
npx skills add mattpocock/skills
npx skills add mattpocock/skills
npx skills add heygen-com/hyperframes
npx skills add mattpocock/skills
npx skills add microsoft/azure-skills
npx skills add heygen-com/hyperframes
افحص قبل التثبيت
شغل أي مصدر عبر فحوصاتنا - الظهور في الذكاء الاصطناعي والأمان والأداء واكتشاف التقنيات.
فحص أمني تلقائي للموقع
الأمان
محلل سرعة الصفحة
الأداء
اختبار جودة المحتوى العربي بالذكاء الاصطناعي
جودة المحتوى
مختبر وكلاء الذكاء الاصطناعي
اختبار الذكاء الاصطناعي
كاشف منصة الموقع
الترحيل
تدقيق الظهور في محركات الذكاء الاصطناعي
الظهور في الذكاء الاصطناعي
مولد ملف llms.txt
الظهور في الذكاء الاصطناعي
مقياس سهولة القراءة بالعربية
جودة المحتوى
منشئ البيانات المنظمة
الظهور في الذكاء الاصطناعي
حاسبة تكاليف الذكاء الاصطناعي
اختبار الذكاء الاصطناعي
محلل العناوين العربية
جودة المحتوى