Token导航 LogoToken导航

Agent Skill · 研究检索

implementation-planning(实施规划)

implementation-planning 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。

implementation-planning 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,权限为需要联网;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 70,176。

总安装 212周安装 9GitHub Stars 4下载 74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:implementation-planning(实施规划)
来源仓库:https://github.com/teambrilliant/dev-skills
仓库路径:skills/implementation-planning
安装命令:
npx skills add https://github.com/teambrilliant/dev-skills --skill implementation-planning
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/teambrilliant/dev-skills --skill implementation-planning

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。

implementation-planning 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 仓库安装,需结合原始 README 核验具体用法。

安装前建议确认权限范围、维护状态及是否会触发联网、命令执行或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/implementation-planning

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/teambrilliant/dev-skills --skill implementatio…;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

    它需要需要联网,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

implementation-planning 怎么安装?

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

implementation-planning 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。

implementation-planning 需要什么权限?

权限级别是需要联网。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。

implementation-planning 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。

implementation-planning 用的人多吗?

公开数据是累计安装 212 次,近一周安装 9 次,下载 74 次,GitHub 4 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。

implementation-planning 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
implementation-planning

实施规划 · 本页

2124需要联网未明确通过

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

Implementation Planning

Take a ticket, shaped work, or technical challenge and create a detailed implementation plan that any developer or agent can follow.

Plan Mode

Multi-phase plans → use plan mode:

  1. If not already in plan mode, call EnterPlanMode
  2. Research using sub-agents (see below)
  3. Write plan to BOTH locations:

- The internal plan file (path in system message) - thoughts/plans/YYYY-MM-DD-descriptive-name.md (persistent)

  1. Call ExitPlanMode when done

Simple designs (single-phase, quick approach discussion) → skip plan mode, just discuss.

Plan File Storage

Save plans to thoughts/plans/ — this is the persistent, shareable location. The internal Claude Code plan file is temporary.

thoughts/plans/YYYY-MM-DD-descriptive-name.md

Use TODAY'S DATE from system context as prefix (e.g., "Today's date" in env info).

Design Philosophy

Before writing plans, read references/software-design-philosophy.md. Apply these principles when designing module boundaries, interfaces, and decomposition. Key checks: modules should be deep, information hiding, define errors out of existence, design it twice.

Principles

  • Research first — understand the codebase before proposing solutions
  • Be specific — include file paths, function names, code snippets
  • Be skeptical — question assumptions, identify risks early
  • Decide, don't ask — every open question gets a recommended resolution with reasoning. Never present a question without proposing what you'd do
  • Be practical — focus on incremental, testable changes
  • Agent-agnostic — plan should work for any implementer
  • Follow patterns — match existing codebase conventions

Process

1. Gather Context

Launch parallel Explore sub-agents before planning. Each serves a different purpose:

# 1. LOCATE — find where relevant files live (don't read contents, just map locations)
Agent(subagent_type="Explore", prompt="Find all files related to [feature/domain].
  Group by: routes, use-cases/business logic, components, DB schema, tests.
  Report file paths and directory structure only, don't read contents.")

# 2. PATTERNS — find similar implementations to model after (read code, extract complete examples)
Agent(subagent_type="Explore", prompt="Find similar implementations to [what we're building].
  Read the code thoroughly. Extract complete working examples with imports.
  Note file organization, naming conventions, error handling approach.")

# 3. ANALYZE — trace how an existing related feature works end-to-end
Agent(subagent_type="Explore", prompt="Analyze how [related feature] is implemented.
  Trace the data flow from entry point to DB/API.
  Map key functions, their inputs/outputs, and error handling paths.")

Use all three when the feature is complex. For simpler tasks, locate + patterns may suffice.

Also gather:

  • Related research docs in thoughts/research/
  • The tech stack:
**Package manager:** pnpm/npm/yarn
**Build tool:** turbo/nx/none
**Language:** TypeScript (strict mode?)
**Runtime:** Node.js/Bun/Deno
**Framework:** Fastify/Express/Hono
**Database:** Postgres + Drizzle/Prisma
**Testing:** Vitest/Jest
**Patterns to follow:** [reference existing implementations]

For monorepo projects:

  • Package structure from pnpm-workspace.yaml
  • Build configuration from turbo.json
  • Existing packages for patterns to follow

Ask clarifying questions if requirements are ambiguous.

2. Present Options (If Multiple Approaches Exist)

Present trade-offs clearly:

  • Option A: [approach] — Pros/Cons
  • Option B: [approach] — Pros/Cons
  • Recommendation: [which and why]

Get alignment before detailed planning.

3. Write the Plan

Create a structured plan following the output format below.

Output Format

# [Title] - Implementation Plan

## Overview
[1-2 sentences: what we're building and why]

## Acceptance Criteria
[Link to the shape doc: `thoughts/research/YYYY-MM-DD-name.md`]
[The shape doc is the canonical source. Do NOT restate or reinterpret criteria here — qa-test will consume them from the shape doc verbatim.]
[If no shape exists (tiny/unshaped work), list criteria here directly using the same rules as shaping-work: independently testable, observable behavior, no vague language.]

## Current State
[What exists now, what's missing, relevant code locations]

## Desired End State
[What should work when done, how to verify — include example commands/usage]

## Out of Scope
[Explicitly list what we're NOT doing — prevents scope creep]

## Implementation Approach
[High-level strategy and reasoning]

---

## Phase 1: [Descriptive Name]

### What This Accomplishes
[Summary of this phase's goal]

### Changes

**File**: `path/to/file.ext`

// Complete code to add or modify // Not snippets — full implementation


**File**: `path/to/another.ext`

// Complete code


### Phase Checks

- [Specific command to run — build, typecheck, unit test]
- [Expected output or behavior]

*Phase Checks are technical gates (build passes, typecheck clean, unit tests green). They are NOT acceptance criteria. ACs are verified by qa-test at the end against the shape doc.*

---

## Phase 2: [Descriptive Name]

[Same structure as Phase 1]

---

## Testing Strategy

### Manual Verification

Step-by-step commands to verify everything works

command1 command2


### Automated (if applicable)

- Unit tests: [what to test]
- Integration tests: [what scenarios]

## File Summary

directory/ ├── file1.ext # Purpose ├── file2.ext # Purpose └── subdirectory/ └── file3.ext # Purpose


**Total new files:** N files

## Related Research

- `thoughts/research/YYYY-MM-DD-name.md` — [what it covers]

## Open Questions

Every question includes a recommended resolution. Proceeding with these unless you steer otherwise.

- **[Question]** Recommend: [option] — [why] Discarded: [option] ([why not])

Phase Guidelines

Good phases:

  • Each phase is independently verifiable via Phase Checks
  • Earlier phases don't break existing functionality
  • Later phases build on earlier ones
  • Can pause between phases if needed

Phase sizing:

  • Small enough to verify quickly
  • Large enough to be meaningful
  • Typically 1-3 files per phase
  • Each phase should have clear verification steps

Code in phases:

  • Include COMPLETE code, not snippets
  • Show the full file content or the full function
  • Never use "..." or "// rest of code"
  • Someone should be able to copy-paste and have it work

What Makes a Good Plan

Good (specific, actionable):

  • File paths exist or clearly describe where to create
  • Code snippets show COMPLETE implementation
  • Verification steps are concrete commands
  • Expected outputs documented

Bad (vague, hand-wavy):

  • "Update the relevant components"
  • "Add appropriate error handling"
  • "Test thoroughly"
  • Code snippets with "..." placeholders

Example

Input ticket: "Add database package with Drizzle ORM"

Output plan (abbreviated):

# Database Package - Implementation Plan

## Overview
Create `packages/db` with Drizzle ORM for PostgreSQL, following monorepo patterns from jp-partner-platform.

## Current State
- Monorepo exists with Fastify API + Temporal worker
- Postgres in docker-compose (port 5462)
- No database package yet

## Desired End State

Package builds successfully

pnpm --filter=@repo/db build

Migrations work

pnpm --filter=@repo/db generate pnpm --filter=@repo/db migrate

Types available in other packages

import { users } from "@repo/db/schema"


## Out of Scope

- API endpoints using the database
- Seed data
- Production deployment config

---

## Phase 1: Package Setup

### What This Accomplishes

Create the package skeleton with Drizzle configuration.

### Changes

**File**: `packages/db/package.json`

{ "name": "@repo/db", "type": "module", "exports": { ".": { "default": "./dist/index.js" }, "./schema": { "default": "./dist/schema/index.js" } }, "scripts": { "build": "tsc", "generate": "drizzle-kit generate", "migrate": "drizzle-kit migrate" }, "dependencies": { "drizzle-orm": "^0.44.0", "postgres": "^3.4.7" }, "devDependencies": { "drizzle-kit": "^0.31.0" } }


**File**: `packages/db/drizzle.config.ts`

import { defineConfig } from "drizzle-kit"

export default defineConfig({ schema: "./src/schema/index.ts", out: "./drizzle", dialect: "postgresql", dbCredentials: { url: process.env.DATABASE_URL ?? "postgresql://postgres:postgres@localhost:5462/mydb", }, })


### Phase Checks

- `pnpm install` succeeds
- `pnpm --filter=@repo/db build` succeeds

---

## Phase 2: Schema Definition

[...]

Handoffs

  • After plan approval, use /dev-skills:implement-change to execute phase by phase
  • The plan in thoughts/plans/ serves as the source of truth during implementation
  • For plans that introduce new UI, check docs/design.md §Functional patterns first — extend an existing pattern before designing a new one. If unclear what the product's design language is, run /dev-skills:design-language in Capture mode against the inspiration source to establish it before planning

平台分布

Codex

35.01%
按下载量换算26

Claude

28.52%
按下载量换算21

Cursor

19.51%
按下载量换算14

Gemini CLI

9.07%
按下载量换算7

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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills