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Agent Skill · 研究检索

plan(计划)

plan 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

plan 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 57,063。

总安装 441周安装 18GitHub Stars 142下载 143核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:plan(计划)
来源仓库:https://github.com/thebushidocollective/han
仓库路径:skills/plan
安装命令:
npx skills add https://github.com/thebushidocollective/han --skill 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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/thebushidocollective/han --skill plan

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

plan 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。通过 npx skills add 命令从指定 GitHub 路径安装并使用。安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

建议结合来源仓库和原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/plan

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/thebushidocollective/han --skill plan;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

plan 怎么安装?

在终端执行 npx skills add https://github.com/thebushidocollective/han --skill plan。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

plan 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

plan 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

plan 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

plan 用的人多吗?

公开数据是累计安装 441 次,近一周安装 18 次,下载 143 次,GitHub 142 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

plan 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
plan

计划 · 本页

441142调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Technical Planning Skill

Create actionable implementation plans for features and tasks.

Name

han-core:plan - Create tactical implementation plan for a feature or task

Synopsis

/plan [arguments]

Core Principle

A good plan turns a vague goal into concrete, executable steps.

Planning vs Architecture

Technical Planning (this skill):

  • Tactical: "How do I build feature X?"
  • Specific implementation steps
  • Breaks work into tasks
  • Focuses on execution

Architecture Design (architecture-design skill):

  • Strategic: "How should the system be structured?"
  • High-level design decisions
  • Defines components and patterns
  • Focuses on structure

Use planning for:

  • Implementing specific features
  • Breaking down work into tasks
  • Sequencing implementation steps
  • Estimating complexity

Use architecture for:

  • Designing new systems
  • Major refactors
  • Technology choices
  • Long-term strategy

The Planning Process

1. Understand Requirements

Clarify what success looks like:

  • What exactly needs to be built?
  • What problem does it solve?
  • What are the acceptance criteria?
  • What's in scope vs out of scope?

Ask questions:

  • Who will use this?
  • What's the expected behavior?
  • What edge cases should be handled?
  • Are there performance requirements?
  • Security concerns?

2. Analyze Current State

Understand what exists:

  • What code is already there?
  • What patterns are in use?
  • What can be reused?
  • What needs to change?

Research:

# Find similar implementations
grep -r "similar_pattern" .

# Find related files
find . -name "*related*"

# Check existing tests
grep -r "test.*similar" test/

3. Break Down Into Tasks

Good tasks are:

  • Specific: "Add user authentication" -> "Create login API endpoint"
  • Testable: Clear success criteria
  • Right-sized: Hours to days, not weeks
  • Independent (when possible): Can be done in any order
  • Ordered (when dependencies exist): Clear sequence

Task template:

### Task: [Specific deliverable]

**What:** [Concrete description]
**Why:** [Reasoning for this approach]
**Dependencies:** [None, or list of task numbers]
**Complexity:** S | M | L
**Success criteria:**
- [ ] Criterion 1
- [ ] Criterion 2

**Files affected:**
- `path/to/file1.ts`
- `path/to/file2.ts`

**Testing approach:**
[How to verify this works]

4. Identify Dependencies

Task dependencies:

  • Blocks: Task A must finish before Task B starts
  • Blocked by: Task B can't start until Task A finishes
  • Related: Tasks that should coordinate

Example:

Task 1: Create database schema (no dependencies)
Task 2: Create API endpoint (depends on Task 1)
Task 3: Create UI component (depends on Task 2)
Task 4: Add tests (depends on Tasks 1-3)

Parallel vs Sequential:

Can be parallel:
  Task A: Frontend component
  Task B: Backend API
  (If API contract is defined)

Must be sequential:
  Task 1: Database migration
  Task 2: Update queries to use new schema
  (Task 2 depends on Task 1)

5. Estimate Complexity

Use relative sizing, not time:

  • S (Small): Straightforward, minimal unknowns
  • M (Medium): Moderate complexity, some unknowns
  • L (Large): Complex or uncertain, multiple files

If task is > L: Break it down further

Complexity factors:

  • How well-understood is the requirement?
  • How many unknowns?
  • How many files need changes?
  • Integration complexity?
  • Testing complexity?

6. Define Testing Strategy

How will we verify it works?

  • Unit tests for business logic
  • Integration tests for API endpoints
  • E2E tests for user workflows
  • Manual testing steps

Example:

## Testing Strategy

**Unit tests:**
- Test validation logic
- Test calculation functions
- Test error handling

**Integration tests:**
- Test API endpoint with real database
- Test with various input scenarios
- Test error responses

**E2E tests:**
- User can complete full workflow
- Error messages display correctly
- Success case works end-to-end

**Manual testing:**
- [ ] Test in Chrome
- [ ] Test in Firefox
- [ ] Test on mobile

Plan Document Structure

# Implementation Plan: [Feature Name]

**Estimated complexity:** S | M | L | XL
**Status:** Draft | Approved | In Progress | Complete

## Goal

[One paragraph: What are we building and why?]

## Current State

[What exists today that's relevant to this plan?]
[What needs to change?]
[What can be reused?]

## Proposed Approach

[High-level strategy: How will we build this?]
[Key technical decisions made]
[Alternatives considered and why not chosen]

## Tasks

### Phase 1: Foundation

#### Task 1.1: [Specific deliverable] (Complexity: S)

**What:** [Concrete description of what needs to be built]

**Why:** [Reasoning for this approach]

**Dependencies:** None

**Success criteria:**
- [ ] Criterion 1 (testable)
- [ ] Criterion 2 (testable)
- [ ] All tests pass

**Files affected:**
- `src/components/Feature.tsx` (create)
- `src/types/feature.ts` (update)

**Testing approach:**
- Unit test for component logic
- Integration test for data flow

---

#### Task 1.2: [Next task] (Complexity: M)

**What:** [Description]

**Why:** [Reasoning]

**Dependencies:** Task 1.1

**Success criteria:**
- [ ] Criterion 1
- [ ] Criterion 2

**Files affected:**
- `api/routes/feature.ts` (create)

**Testing approach:**
- Integration test for API endpoint

---

### Phase 2: Integration

[Additional tasks organized by phase]

## Testing Strategy

**Overall approach:**
[How we'll verify the entire feature works]

**Test coverage goals:**
- Critical paths: 100%
- Happy paths: 100%
- Edge cases: 80%

## Risks & Considerations

| Risk | Impact | Mitigation |
|------|--------|------------|
| Database migration fails | High | Test in staging first, have rollback plan |
| API performance slow | Medium | Add caching, monitor metrics |

## Out of Scope

**Explicitly NOT included in this plan:**
- [Feature A - deferred to v2]
- [Integration B - separate work]
- [Optimization C - premature]

## Open Questions

- [ ] Should we use library X or Y?
- [ ] What's the rate limit for the external API?

## Success Metrics

**How we'll know this is successful:**
- Feature ships to production
- All tests pass
- Performance meets requirements (< 200ms response)
- Zero critical bugs in first week

## References

- [Related documentation]
- [Design mockups]
- [API specifications]
- [Similar implementations]

Task Breakdown Strategies

By Layer

Frontend tasks:
- Task 1: Create UI component
- Task 2: Add form validation
- Task 3: Connect to API

Backend tasks:
- Task 4: Create API endpoint
- Task 5: Add business logic
- Task 6: Database queries

Infrastructure:
- Task 7: Update deployment config

By Feature Slice

User Authentication (vertical slice):
- Task 1: Login form (frontend)
- Task 2: Login API (backend)
- Task 3: Session management
- Task 4: E2E test for login flow

Password Reset (vertical slice):
- Task 5: Password reset form
- Task 6: Password reset API
- Task 7: Email notification
- Task 8: E2E test for reset flow

By Priority

Must Have (P0):
- Task 1: Core functionality
- Task 2: Critical path

Should Have (P1):
- Task 3: Nice to have feature
- Task 4: Enhancement

Could Have (P2):
- Task 5: Polish
- Task 6: Optimization

Planning Principles

Good plans are:

  • Specific: Concrete steps, not vague ideas
  • Actionable: Each task can be started immediately
  • Ordered: Dependencies clear, sequence logical
  • Right-sized: Tasks are not too large
  • Testable: Success criteria for each task

Bad plans are:

  • Vague ("Make it better")
  • Missing dependencies ("Do A and B" when B depends on A)
  • Too large (one task = weeks of work)
  • Missing context (no reasoning for decisions)

Planning Best Practices

Start Simple

Don't over-plan:

  • Start with high-level tasks
  • Add detail as you learn
  • Plans evolve during implementation

Good enough:

  • Plan should be clear enough to start
  • Not every detail needs to be known upfront
  • Iterate as you go

Make Tasks Actionable

Bad task:

- Improve performance

Good task:

### Task 3: Optimize database queries (Complexity: M)

**What:** Add indexes to users table for email and created_at columns

**Success criteria:**
- [ ] Query time reduced from 500ms to < 50ms
- [ ] Migration runs successfully
- [ ] No impact on existing queries

Document Decisions

Why matters:

## Why this approach?

We chose REST over GraphQL because:
1. Team is more familiar with REST
2. Simple CRUD operations don't need GraphQL flexibility
3. Can add GraphQL later if needed

**Trade-off:** Less flexible, but simpler to implement

Include Examples

Show, don't just tell:

## API Design

### Endpoint: POST /api/users

**Request:**

{ "email": "user@example.com", "name": "John Doe" }


**Response:**

{ "id": "123", "email": "user@example.com", "name": "John Doe", "createdAt": "2024-01-01T00:00:00Z" }

Common Planning Mistakes

Too Vague


BAD:

- Implement user system
- Add features
- Make it work

Too Detailed


BAD:

- Add import statement on line 5
- Declare variable on line 6
- Call function on line 7

Missing Dependencies


BAD: Task 1: Create UI Task 2: Create API (But UI depends on API contract)

No Success Criteria


BAD: Task: Add validation (How do we know when it's done?)

GOOD: Task: Add validation

- Email format validated
- Required fields checked
- Error messages displayed
- Tests pass

Adaptive Planning

Plans are living documents:

  • Update as you learn
  • Add newly discovered tasks
  • Remove tasks that aren't needed
  • Adjust estimates based on reality

When to update plan:

  • Discovered new requirement
  • Found existing code to reuse
  • Identified additional complexity
  • Changed approach

Planning Checklist

Before finishing plan, verify:

  • [ ] Goal is clear and specific
  • [ ] Current state analyzed
  • [ ] Approach is feasible
  • [ ] Tasks are specific and actionable
  • [ ] Dependencies are identified
  • [ ] Success criteria defined for each task
  • [ ] Testing strategy included
  • [ ] Risks documented
  • [ ] Out of scope explicitly stated

Examples

When the user says:

  • "How should I implement user authentication?"
  • "Plan out the shopping cart feature"
  • "What's the approach for migrating to the new API?"
  • "Break down this Jira ticket into tasks"
  • "Create a plan for adding dark mode"

Integration with Other Skills

  • Use simplicity-principles - Keep plan simple (KISS, YAGNI)
  • Use architecture-design - For high-level structure decisions
  • Use test-driven-development - Include testing in tasks
  • Reference solid-principles, structural-design-principles for implementation guidance

Remember

  1. Plans are guides, not contracts - Adapt as you learn
  2. Start simple, add detail - Don't over-plan
  3. Make tasks actionable - Specific and testable
  4. Document decisions - Explain the "why"
  5. Include testing - How will we verify it works?

A good plan makes it easy to start coding.

平台分布

Codex

36.29%
按下载量换算52

Claude

31.49%
按下载量换算45

Cursor

20.33%
按下载量换算29

Gemini CLI

8.96%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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