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Agent Skill · 研究检索

implement(实现)

implement 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。

implement 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 47,881。

总安装 713周安装 30GitHub Stars 公开资料未说明下载 250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:implement(实现)
来源仓库:https://github.com/eljun/workflow-skills
仓库路径:skills/implement
安装命令:
npx skills add https://github.com/eljun/workflow-skills --skill implement
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/eljun/workflow-skills --skill implement

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。

用于高效代码实现与资源优化。适合在 Codex、Claude、Cursor、Gemini CLI 中完成开发任务。采用 Token Efficiency Mode 减少重复计算开销。支持 worktree 分支隔离和自动信号反馈机制。implement 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/implement

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/eljun/workflow-skills --skill implement;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

implement 怎么安装?

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

implement 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。

implement 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。

implement 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。

implement 用的人多吗?

公开数据是累计安装 713 次,近一周安装 30 次,下载 250 次。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。

implement 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
implement

实现 · 本页

713—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

/implement - Implementation Agent

Token Efficiency

ModeHow it worksToken cost
AutoOrchestrator stays alive, spawns workers in background. Workers output a 4-line signal + write details to task doc. Orchestrator accumulates only signals (~50 tokens each).Very low
Manual + /clearRun each skill in a fresh session. Same token benefit, you stay in control.Low
Manual without /clearHistory compounds across all stages.High (avoid)

Manual mode tip: After each skill completes, run /clear before invoking the next one.


Workflow

/implement [auto] [--worktree] {ID}
       ↓
0. Read LEARNINGS.md (if exists) — avoid known mistakes
1. Parse arguments: detect "auto" flag, "--model" override, "--worktree" flag, task ID
2. Resolve task ID → find docs/task/{ID}-{name}.md
3. Read task document — this is the ONLY codebase context needed
   └── Only read source files explicitly listed in task doc's "File Changes"
   └── Do NOT explore directories, grep broadly, or read files not in the plan
4. Conditional: Direct or Worktree
   ├─ Default (no --worktree): Commit to current branch
   │  └── All edits and commits happen directly in current directory
   │  └── User's working directory receives changes
   │
   └─ With --worktree: Enter worktree isolation
      └── EnterWorktree({ name: "task-{ID}" })
      └── Creates .claude/worktrees/task-{ID}/ on a new branch
      └── All edits, commits, and pushes happen inside the worktree
      └── User's working directory stays on main — never switches branch
5. If "auto" flag → set Automation: auto in task doc
6. Move task to "## In Progress" in TASKS.md
7. Invoke specialized skills if relevant (see Step 3 below)
8. Implement following task document steps
9. Commit with [task-{ID}] prefix for traceability
       ↓
┌─── Automation Mode? ───┐
│                        │
▼ Manual                 ▼ Auto
STOP (no push)           10. Push branch to origin
Update status to         11. Update status to "TESTING"
"TESTING" (keep local)   12. Enter Orchestrator Mode
Notify user ready for        (drives pipeline, stays alive)
/simplify

Pre-Implementation Checklist

0. Read Project Learnings

  • Read LEARNINGS.md entirely if it exists (~200 tokens, saves thousands)
  • Focus on: Common Mistakes to Avoid, Established Coding Patterns, Architecture & Decisions, Tech Stack Notes
  • The task doc contains all codebase research you need — only open source files explicitly listed in ## File Changes; do NOT explore directories or read unlisted files

0.5. Parse Arguments

  • auto → set automation mode
  • --model {haiku|sonnet|opus} → model override (takes precedence over task doc recommendation)
  • --worktree → enable worktree isolation (creates isolated branch)
  • Natural language hints:

- Model: "use sonnet", "force haiku", "use opus" → treat as model override - Worktree: "use worktree", "with worktree", "isolated", "in worktree" → treat as --worktree

  • Remaining arg → task ID

Examples:

/implement {ID}                              # Default: direct to current branch
/implement --worktree {ID}                   # Formal flag: use worktree isolation
/implement {ID} "use worktree"               # Natural language
/implement {ID} with worktree                # Natural language (no quotes)

/implement auto {ID}                         # Auto, direct to current branch (default)
/implement auto --worktree {ID}              # Auto with worktree isolation
/implement auto {ID} "use worktree"          # Auto, natural language

/implement --model sonnet {ID}               # Model override, direct to main
/implement --model sonnet --worktree {ID}    # Model override + worktree
/implement {ID} "use sonnet with worktree"   # Natural language, both overrides

Argument resolution:

  1. Model (priority order):

- --model flag or "use X" natural language → use this - Recommended Model field in task doc → use this - Default → haiku

  1. Worktree (priority order):

- --worktree flag or worktree-related natural language → use worktree isolation - Otherwise → default direct to current branch

Acknowledge overrides in output:

Model: sonnet (override — task recommended: haiku)
Worktree: enabled (isolated branch .claude/worktrees/task-{ID}/)

If auto detected, update task document header:

> **Automation:** auto

1. Resolve Task ID

  1. Read TASKS.md
  2. Find row with matching ID in first column
  3. Get task doc path from that row
  4. Verify file exists in docs/task/

1.5. Worktree Isolation (Conditional)

Default behavior — direct to current branch:

  • Commit directly to the current branch (wherever user is)
  • No worktree isolation
  • User's working directory changes are the final state
  • Useful for: quick manual implementations, small fixes, direct branch work

If --worktree flag present — use worktree isolation:

EnterWorktree({ name: "task-{ID}" })
  • Creates .claude/worktrees/task-{ID}/ on a new branch
  • User's working directory stays on main for the entire implementation
  • Multiple agents can run in parallel with zero branch conflicts

When to use --worktree:

  • Auto mode (recommended): Orchestrator isolated from user's branch, safer for full pipelines
  • Multi-parallel tasks: Prevents branch conflicts when running multiple agents simultaneously
  • Complex features: Isolated branch work, easier to abandon/reset if needed

When to skip worktree (default):

  • Manual mode: User wants direct changes to review locally before pushing
  • Quick fixes: Overhead not worth it for small tasks
  • Working on a feature branch: Natural to commit directly

2. Read the Task Document — Then Stop Exploring

✅ ALWAYS READ:
   - docs/task/{ID}-{task-name}.md          (your primary source)
   - LEARNINGS.md                            (already done in Step 0)
   - Files listed in ## File Changes         (only these, nothing else)

❌ DO NOT READ unless the task doc explicitly names them:
   - package.json / tsconfig.json / .env
   - Any config file not in ## File Changes
   - Files in directories not mentioned in the task doc
   - Adjacent files "for context"

❌ DO NOT RUN:
   - find . -type f       (directory sweeps)
   - ls -R / ls -la       (directory listing)
   - cat on unlisted files
   - Any grep to "understand patterns" — patterns are in ## Code Context

If a file isn't in the task doc and you think you need it: check ## Code Context first. If it genuinely isn't there, use a targeted Grep for the specific symbol — not a directory sweep.

Understand from the task doc:

  • Task ID (for commit messages)
  • Recommended Model — advisory, not a blocker; note if different but proceed
  • Requirements, proposed solution, architecture
  • File changes — your complete reading list
  • Implementation steps — follow them in order

3. Invoke Specialized Skills

Before writing any code, check whether platform-specific skills are installed and relevant:

SkillInvoke When
/vercel-react-best-practicesTask involves React, Next.js, or TypeScript
/supabase-postgres-best-practicesTask involves database queries, RLS, schema, or Supabase

If a relevant skill is available, invoke it before writing code. If you realize partway through you skipped one, invoke it then review your code before continuing.

4. Update TASKS.md

Move task from "Planned" to "In Progress" with started date and status.

5. Verify Dependencies

  • Required API endpoints exist
  • Required types/interfaces exist
  • Required packages installed
  • No blocking tasks

Commit Convention

All commits must include the task ID prefix.

[task-{ID}] {type}: {description}

{optional body}

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
git commit -m "[task-1] feat: Add JWT authentication middleware

Implements token validation and refresh logic.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>"

Completion Checklist

CategoryChecks
Code qualityCompiles without errors, no TypeScript errors, follows existing patterns
FunctionalityAll "Must Have" requirements implemented, happy/loading/error/empty states handled
Task documentRequirements checked off, deviations documented, notes for tester added

Update Status to TESTING

When implementation is complete:

1. Update TASKS.md — move to "Testing" section with test report pending.

2. Update task document:

> **Status:** TESTING
> **Completed:** {Date}
> **Implementation Notes:** {Any important notes for tester}

3. Update CLAUDE.md (Structural Changes)

Scan what was built and update CLAUDE.md immediately — don't wait for /document.

What you builtWhat to update in CLAUDE.md
New directory created## Project Structure
File moved or renamed## Important File Locations
Database migration added## Stack (schema note) + ## Important File Locations
New edge function / API route## Important File Locations or ## Key Conventions
New env variable required## Stack (note the var and purpose)
New package installed## Stack
New pattern established (used 2+ times)## Key Conventions
Old pattern replacedRemove old entry, add new one
  • Read existing CLAUDE.md before touching it — prune stale entries first
  • Never just append — if a directory was renamed, update the old entry
  • If none of the above apply (pure logic change, styling tweak) → skip

4. Pre-Completion Verification:

  • React/Next.js task? → Invoked /vercel-react-best-practices (if installed)?
  • Database/Supabase task? → Invoked /supabase-postgres-best-practices (if installed)?
  • If skipped, invoke now and review code before proceeding.

5. Route based on Automation Mode:

Check Automation: auto field in task document.


Manual Mode: No Push (Token Optimization)

Output: completion summary with:
  - Files changed locally
  - Commits made [task-{ID}]
  - Location info:
    * Default: current branch (files in user's working directory)
    * With --worktree: .claude/worktrees/task-{ID}/ (isolated branch)
  - Next step: /simplify {ID}

⚠️ IMPORTANT: Do NOT run git push
   Changes are committed locally (in current branch or worktree).
   User may review, edit, or run /simplify immediately.

Run /clear before invoking /simplify — it only needs the task doc, not this history.

Default (direct): Changes directly in user's working directory on current branch. Commit visible immediately.

With --worktree: Changes isolated in .claude/worktrees/task-{ID}/. User's main branch untouched.


Auto Mode: Push & Enter Orchestrator

  1. Push branch to origin:
git push -u origin {branch-name}
  1. Enter Orchestrator Mode below.

Orchestrator Mode

Only entered when Automation: auto is set AND branch has been pushed to origin. This session stays alive as the pipeline coordinator. Workers run in background, write results to the task document, and return a 4-line signal. You read the signal and decide what happens next — never the worker.

Shared memory: docs/task/{ID}-{task-name}.md — every worker reads and writes to it.

retry_count = 0
max_retries = 3

Stage 1 — Quality Gate

Assign simplify worker:

Task({ subagent_type: "general-purpose", model: "sonnet", prompt: "/simplify {ID}", run_in_background: true })

Wait for SIGNAL. Route:

SignalAction
STATUS: PASSProceed to Stage 2
STATUS: FAILretry_count++. If retry_count > max_retries → STOP, notify user. Otherwise: assign implement-fix worker (see Fix Worker below), then return to Stage 1

Stage 2 — Testing

Assign test worker:

Task({ subagent_type: "general-purpose", model: "haiku", prompt: "/test {ID}", run_in_background: true })

Wait for SIGNAL. Route:

SignalAction
STATUS: PASSProceed to Stage 3
STATUS: FAILretry_count++. If retry_count > max_retries → STOP, notify user. Otherwise: assign implement-fix worker referencing REFERENCE from signal, then return to Stage 1

Stage 3 — Documentation

Assign document worker:

Task({ subagent_type: "general-purpose", model: "haiku", prompt: "/document {ID}", run_in_background: true })

Wait for STATUS: DONE signal → proceed to Stage 4.


Stage 4 — Ship

Assign ship worker:

Task({ subagent_type: "general-purpose", model: "haiku", prompt: "/ship {ID}", run_in_background: true })

Wait for STATUS: DONE signal → pipeline complete.


Pipeline Complete

Report to user:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PIPELINE COMPLETE: #{ID} - {Task Title}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✓ implement   code written & committed
✓ simplify    quality gate passed
✓ test        {N} criteria verified
✓ document    feature doc created
✓ ship        PR ready for review

PR: {url from ship signal}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Fix Worker (when simplify or test fails)

Task({
  subagent_type: "general-purpose",
  model: "sonnet",
  prompt: "/implement {ID} — Fix required. See REFERENCE path in task doc for details.",
  run_in_background: true
})

The worker reads the task document fresh — all context is in ## Implementation Notes or the test report path. Pass only the reference path, not the full failure details.


Stop Conditions

Stop the pipeline and notify the user when:

  • retry_count > max_retries (3 cycles without PASS)
  • Any worker returns STATUS: BLOCKED
  • Ship worker returns a build/lint failure
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PIPELINE STOPPED: #{ID} - {Task Title}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Stopped at: {stage}
Reason: {signal summary}
Details: {REFERENCE path from signal}

Action needed from you before pipeline can continue.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Specialized Skills (Install Separately)

  • vercel-react-best-practices — install from vercel-labs/agent-skills; invoke for React/Next.js/TypeScript code
  • supabase-postgres-best-practices — install from supabase/agent-skills; invoke for database queries, RLS, schema, Supabase code

平台分布

Codex

35.1%
按下载量换算88

Claude

28.96%
按下载量换算72

Cursor

20.13%
按下载量换算50

Gemini CLI

10.67%
按下载量换算27

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。

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