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plan计划

Agent Skill

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。

总安装

533

周安装

22

GitHub Stars

11

下载量

174
CodexClaudeCursorGemini CLI

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

unknown

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:plan(计划)
来源仓库:https://github.com/outlinedriven/odin-codex-plugin
仓库路径:skills/plan
安装命令:
npx skills add https://github.com/outlinedriven/odin-codex-plugin --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/outlinedriven/odin-codex-plugin --skill plan

简介

plan 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装。
  • 使用前需确认权限范围、维护状态及是否触发联网或文件操作。
  • 建议结合原始 README 核验具体用法和功能边界。

SKILL.md

Plan

Overview

Draft structured plans that clarify intent, scope, requirements, action items, testing/validation, and risks.

Optionally, save plans to disk as markdown files with YAML frontmatter and free-form content. When drafting in chat, output only the plan body without frontmatter; add frontmatter only when saving to disk. Only write to the plans folder; do not modify the repository codebase.

This skill can also be used to draft codebase or system overviews.

Core rules

  • Resolve the plans directory as $CODEX_HOME/plans or ~/.codex/plans when CODEX_HOME is not set.
  • Create the plans directory if it does not exist.
  • Never write to the repo; only read files to understand context.
  • Require frontmatter with only name and description (single-line values) for on-disk plans.
  • When presenting a draft plan in chat, omit frontmatter and start at # Plan.
  • Enforce naming rules: short, lower-case, hyphen-delimited; filename must equal <name>.md.
  • If a plan is not found, state it clearly and offer to create one.
  • Allow overview-style plans that document flows, architecture, or context without a work checklist.

Decide the task

  1. Find/list: discover plans by frontmatter summary; confirm if multiple matches exist.
  2. Read/use: validate frontmatter; present summary and full contents.
  3. Create: inspect repo read-only; choose plan style (implementation vs overview); draft plan; write to plans directory only.
  4. Update: load plan; revise content and/or description; preserve frontmatter keys; overwrite the plan file.
  5. Delete: confirm intent, then remove the plan file if asked.

Plan discovery

  • Prefer scripts/list_plans.py for quick summaries.
  • Use scripts/read_plan_frontmatter.py to validate a specific plan.
  • If name mismatches filename or frontmatter is missing fields, call it out and ask whether to fix.

Plan creation workflow

  1. Scan context quickly: read README.md and obvious docs (docs/, CONTRIBUTING.md, ARCHITECTURE.md); skim likely touched files; identify constraints (language, frameworks, CI/test commands, deployment).
  2. Ask follow-ups only if blocked: at most 1-2 questions, prefer multiple-choice. If unsure but not blocked, state assumptions and proceed.
  3. Identify scope, constraints, and data model/API implications (or capture existing behavior for an overview).
  4. Draft either an ordered implementation plan or a structured overview plan with diagrams/notes as needed.
  5. Immediately output the plan body only (no frontmatter), then ask the user if they want to 1. Make changes, 2. Implement it, 3. Save it as per plan.
  6. If the user wants to save it, prepend frontmatter and save the plan under the computed plans directory using scripts/create_plan.py.

Plan update workflow

  • Re-read the plan and related code/docs before updating.
  • Keep the plan name stable unless the user explicitly wants a rename.
  • If renaming, update both frontmatter name and filename together.

Scripts (low-freedom helpers)

Create a plan file (body only; frontmatter is written for you). Run from the plan skill directory:

python ./scripts/create_plan.py \
  --name codex-rate-limit-overview \
  --description "Scope and update plan for Codex rate limiting" \
  --body-file /tmp/plan-body.md

Read frontmatter summary for a plan (run from the plan skill directory):

python ./scripts/read_plan_frontmatter.py ~/.codex/plans/codex-rate-limit-overview.md

List plan summaries (optional filter; run from the plan skill directory):

python ./scripts/list_plans.py --query "rate limit"

Plan file format

Use one of the structures below for the plan body. When drafting, output only the body (no frontmatter). When saving, prepend this frontmatter:

---
name: <plan-name>
description: <1-line summary>
---

Implementation plan body template

# Plan

<1-3 sentences: intent, scope, and approach.>

## Requirements
- <Requirement 1>
- <Requirement 2>

## Scope
- In:
- Out:

## Files and entry points
- <File/module/entry point 1>
- <File/module/entry point 2>

## Data model / API changes
- <If applicable, describe schema or contract changes>

## Action items
[ ] <Step 1>
[ ] <Step 2>
[ ] <Step 3>
[ ] <Step 4>
[ ] <Step 5>
[ ] <Step 6>

## Testing and validation
- <Tests, commands, or validation steps>

## Risks and edge cases
- <Risk 1>
- <Risk 2>

## Open questions
- <Question 1>
- <Question 2>

Overview plan body template

# Plan

<1-3 sentences: intent and scope of the overview.>

## Overview
<Describe the system, flow, or architecture at a high level.>

## Diagrams
<Include text or Mermaid diagrams if helpful.>

## Key file references
- <File/module/entry point 1>
- <File/module/entry point 2>

## Auth / routing / behavior notes
- <Capture relevant differences (e.g., auth modes, routing paths).>

## Current status
- <What is live today vs pending work, if known.>

## Action items
- None (overview only).

## Testing and validation
- None (overview only).

## Risks and edge cases
- None (overview only).

## Open questions
- None.

Writing guidance

  • Start with 1 short paragraph describing intent and approach.
  • Keep action items ordered and atomic (discovery -> changes -> tests -> rollout); use verb-first phrasing.
  • Scale action item count to complexity (simple: 1-2; complex: up to about 10).
  • Include file/entry-point hints and concrete validation steps where useful.
  • Always include testing/validation and risks/edge cases in implementation plans; include safe rollout/rollback when relevant.
  • Use open questions only when necessary (max 3).
  • Avoid vague steps, micro-steps, and code snippets; keep the plan implementation-agnostic.
  • For overview plans, keep action items minimal and set non-applicable sections to "None."

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

37.01%
按下载量换算64

Claude

31.93%
按下载量换算56

Cursor

16.86%
按下载量换算29

Gemini CLI

8.91%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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