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spf-write-planspf 写计划

Agent Skill

spf-write-plan 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

8,201

周安装

335

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下载量

2,626
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:spf-write-plan(spf 写计划)
来源仓库:https://github.com/mok888/spf-write-plan
安装命令:
openclaw skills install spf-write-plan
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install spf-write-plan

简介

spf-write-plan 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 适用于研究检索类任务,可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 通过 openclaw skills install spf-write-plan 命令安装。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
spf-write-plan
description
Use when you have a spec or requirements for a multi-step task, before touching code

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**

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**

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**

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

Superplanner Memory Integration (Unified Extension)

CRITICAL THEMATIC RULE: You are working inside the superpower-with-files unified framework.

Workflow Standardization

  1. Skill Announcement: Every time you start using this skill, you MUST first announce:

🚀 **SUPERPOWER ACTIVE:** spf-write-plan

  1. Context Independence: You are NOT restricted to dedicated worktrees. Proceed in any project root.

SMART PLANNING RULES

  1. Adaptive Granularity: Add complexity: simple | medium | complex to the plan header.

- simple: Combine boilerplate and logic into fewer, larger tasks. Keep all instructions in active_tdd_plan.md. - medium/complex: Use the Split Architecture.

  1. Split Architecture (Verbosity Reduction):

- For non-simple projects, active_tdd_plan.md MUST remain a concise high-level task list. - Detailed implementation instructions (exact code, file modifications, specific commands) MUST be moved to: .superpower-with-files/guides/task-N.md - In the main plan, reference the guide: Guide: See guides/task-N.md.

  1. Dependency & Parallel Markers: Each task block in the plan MUST include:

- Depends on: [Task ID | None] - Parallel with: [Task ID | None]

  1. Smarter Test Detection: Before drafting the test section, you MUST auto-detect the test runner:

- Cargo.toml -> cargo test - pyproject.toml -> pytest - package.json -> npm test

  1. Optional Markers: Mark routine verification as (optional).
  2. Template Support: Use relevant templates from the templates/ directory to guide choices.

STRICT PLANNING ONLY

  1. No Execution: While using this skill, you MUST NOT execute code or run tests.
  2. Implicit Stop & Handoff Prompt:

> "Planning phase complete. The plan and guides have been saved to [.superpower-with-files/]. Please review. To proceed, use: 'Execute the plan.'"

Automated Timestamping

  • Every time you modify a memory file (task_plan.md, active_tdd_plan.md, findings.md, progress.md), you MUST append a horizontal rule and a timestamp at the very bottom:

--- *Last Updated: YYYY-MM-DD HH:MM UTC*

SMART PLANNING RULES

  1. Adaptive Granularity: Add complexity: simple | medium | complex to the plan header.

- simple: Combine boilerplate and logic into fewer, larger tasks. - complex: High granularity, minute-by-minute steps.

  1. Smarter Test Detection: Before drafting the test section, you MUST auto-detect the test runner:

- Cargo.toml -> cargo test - pyproject.toml / pytest in requirements.txt -> pytest - package.json -> npm test - No detection -> Ask the user.

  1. Optional Markers: You may mark routine verification steps as (optional) (e.g., Step 5: Verify structure (optional)).
  2. Template Support: If a specific framework or language is mentioned (e.g., "Python CLI", "React Component"), you MUST check the templates/ directory within this skill and use the corresponding template to guide your project structure and library choices.

Naming & Location Precedence

  1. User Override [HIGHEST]: If the user specifies any path (e.g., "Save to projects/tgnews"), you MUST honor that path immediately.
  2. SPF Default [SECONDARY]: If no path is specified by the user, save to:

.superpower-with-files/active_tdd_plan.md

  1. Legacy paths (docs/plans/): Ignore any legacy instructions about docs/plans/ unless specifically requested by the user.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

76.27%
按下载量换算2,003

安全审计

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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