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writing-plans

by @obrav
4.7(1,109)

制定全面的产品实施计划,包含详细的文件路径和执行步骤,确保项目按时、高效地落地,实现预期目标。

PlanningImplementationTDDGitHub
安装方式
npx skills add obra/superpowers --skill writing-plans
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Before / After 效果对比

1
使用前

工程师在没有详细规划的情况下直接开始编码,导致开发过程中频繁返工、理解偏差,延误项目进度。

使用后

强制要求在编码前编写详细的实现计划,明确技术方案、涉及文件、测试策略等,确保工程师对任务有全面理解,显著减少了开发错误和返工,提高了项目交付效率。

description SKILL.md

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/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.

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 agentic workers:** REQUIRED: Use superpowers:subagent-driven-development (if subagents available) or superpowers:executing-plans to implement this plan. 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 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

Plan Review Loop

After completing each chunk of the plan:

  1. Dispatch plan-document-reviewer subagent (see plan-document-reviewer-prompt.md) with precisely crafted review context — never your session history. This keeps the reviewer focused on the plan, not your thought process.
    • Provide: chunk content, path to spec document
  2. If ❌ Issues Found:
    • Fix the issues in the chunk
    • Re-dispatch reviewer for that chunk
    • Repeat until ✅ Approved
  3. If ✅ Approved: proceed to next chunk (or execution handoff if last chunk)

Chunk boundaries: Use ## Chunk N: <name> headings to delimit chunks. Each chunk should be ≤1000 lines and logically self-contained.

Review loop guidance:

  • Same agent that wrote the plan fixes it (preserves context)
  • If loop exceeds 5 iterations, surface to human for guidance
  • Reviewers are advisory - explain disagreements if you believe feedback is incorrect

Execution Handoff

After saving the plan:

"Plan complete and saved to docs/superpowers/plans/<filename>.md. Ready to execute?"

Execution path depends on harness capabilities:

If harness has subagents (Claude Code, etc.):

  • REQUIRED: Use superpowers:subagent-driven-development
  • Do NOT offer a choice - subagent-driven is the standard approach
  • Fresh subagent per task + two-stage review

If harness does NOT have subagents:

  • Execute plan in current session using superpowers:executing-plans
  • Batch execution with checkpoints for review

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统计数据

安装量75.2K
评分4.7 / 5.0
版本
更新日期2026年4月30日
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4.7(1,109)
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4
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2
3%
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兼容平台

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🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

时间线

创建2026年1月20日
最后更新2026年4月30日
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