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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,权限为调用外部服务;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 53,170。

总安装 539周安装 22GitHub Stars 公开资料未说明下载 174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
MIT

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/maxritter/claude-codepro
仓库路径:skills/implement
安装命令:
npx skills add maxritter/claude-codepro --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。

AgentSkills.tonpx skills
npx skills add maxritter/claude-codepro --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。

用于查找和筛选相关信息。implement 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合在 Codex、Claude、Cursor 和 Gemini CLI 中使用。提供基础的信息检索功能。使用时需确认具体任务需求和关键词设置。

安装方式:通过 github 使用 npx skills add 命令安装。

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 maxritter/claude-codepro --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

implement 怎么安装?

在终端执行 npx skills add maxritter/claude-codepro --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。

implement 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

implement 用的人多吗?

公开数据是累计安装 539 次,近一周安装 22 次,下载 174 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?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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

  • 要求有安全扫描结论才肯安装的团队。
  • 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

539—调用外部服务MIT未收录

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 MODE: Task Execution with Mandatory Context Gathering

WARNING: DO NOT use the Task tool with any subagent_type (Explore, Plan, general-purpose). Perform ALL exploration and implementation yourself using direct tool calls (Read, Grep, Glob, MCP tools). Sub-agents lose context and make implementation inconsistent.

Quality Over Speed - CRITICAL

NEVER rush or compromise quality due to context pressure.

  • Context warnings are informational, not emergencies
  • Work spans sessions seamlessly via plan file and continuation mechanisms
  • Finish the CURRENT task with full quality, then hand off cleanly
  • Do NOT skip tests, compress code, or cut corners to "beat" context limits
  • Quality is the #1 metric - a well-done task split across sessions beats rushed work

Execute tasks continuously with full quality. Hand off cleanly when context is high.

Feedback Loop Awareness

This skill may be called multiple times in a feedback loop:

/implement → /verify → issues found → /implement → /verify → ... → VERIFIED

When called after /verify found issues:

  1. Read the plan - /verify will have added fix tasks (marked with [MISSING] or similar)
  2. Check the Iterations field in the plan header
  3. Report iteration start: "🔄 Starting Iteration N implementation..."
  4. Focus on uncompleted tasks [] - these are the fixes needed
  5. Complete all fix tasks, then set status to COMPLETE as normal

The loop continues automatically until all checks pass (VERIFIED) or context hits 90%.

⛔ CRITICAL: Task Completion Tracking is MANDATORY

After completing EACH task, you MUST:

  1. IMMEDIATELY edit the plan file to change [] to [x] for that task
  2. Update the Progress Tracking counts (Completed/Remaining)
  3. DO NOT proceed to next task until the checkbox is updated

This is NON-NEGOTIABLE. If you skip this step:

  • The rules supervisor will detect incomplete task tracking
  • Verification will fail
  • You will need to re-implement

Example - After completing Task 5:

Edit the plan file:
- [ ] Task 5: Implement X  →  - [x] Task 5: Implement X
Update counts:
**Completed:** 4 | **Remaining:** 8  →  **Completed:** 5 | **Remaining:** 7

Mandatory Context Gathering Phase (REQUIRED)

Before ANY implementation, you MUST:

  1. Read the COMPLETE plan - Understanding overall architecture and design
  2. Verify comprehension - Summarize what you learned to demonstrate understanding
  3. Identify dependencies - List files, functions, classes that need modification
  4. Check current state:

- Git status: git status --short and git diff --name-only - Plan progress: Check for [x] completed tasks

🔧 Tools for Implementation

Use these tools throughout implementation:

ToolWhen to UseExample
Context7Library API lookupresolve-library-id(query="how to use fixtures", libraryName="pytest") then query-docs(libraryId, query)
mcp-cliCustom MCP serversUse mcp-cli <server>/<tool> '<json>' for servers in mcp_servers.json

Context7 requires descriptive queries for both tools - see context7-docs.md for full docs.

Before starting, verify Vexor is available for semantic search:

vexor --version

During implementation:

  • Use vexor search "query" --mode code to find similar implementations and patterns
  • Use Context7 when unsure about library/framework APIs: resolve-library-id(query="your question", libraryName="lib") then query-docs(libraryId, query="specific question") - descriptive queries required

⚠️ CRITICAL: Migration/Refactoring Tasks

When the plan involves replacing existing code, perform these ADDITIONAL checks:

Before Starting Implementation

  1. Locate the Feature Inventory section in the plan
  2. If Feature Inventory is MISSING - STOP and inform user: ` "This migration plan is missing a Feature Inventory section. Without it, features may be accidentally omitted. Please run /plan again to add the inventory, or manually add it to the plan." `
  3. Verify ALL features are mapped - Every row must have a Task #
  4. Read the OLD code completely - Don't rely on the plan alone

During Implementation

For EACH task that migrates old functionality:

  1. Read the corresponding old file(s) listed in Feature Inventory
  2. Create a checklist of functions/behaviors from old code
  3. Verify each function/behavior exists in new code after implementation
  4. Test with same inputs - Old and new code should produce same outputs

Before Marking Task Complete

For migration tasks, add this to Definition of Done:

  • All functions from old code have equivalents in new code
  • Behavior matches old code (same inputs → same outputs)
  • No features accidentally omitted

Red Flags - STOP Implementation

If you notice ANY of these, STOP and report to user:

  • Feature Inventory section missing from plan
  • Old file has functions not mentioned in any task
  • "Out of Scope" items that should actually be migrated
  • Tests pass but functionality is missing compared to old code

TDD is MANDATORY

No production code without a failing test first. Follow the TDD rules in your context.

Requires TDDSkip TDD
New functions/methodsDocumentation changes
API endpointsConfig file updates
Business logicIaC code (CDK, Terraform, Pulumi)
Bug fixesFormatting/style changes

The TDD enforcer hook will warn you if you skip this.

Per-Task Execution Flow

For EVERY task, follow this exact sequence:

  1. READ PLAN'S IMPLEMENTATION STEPS - List all files to create/modify/delete
  2. Perform Call Chain Analysis:

- Trace Upwards (Callers): Identify what calls the code you're modifying - Trace Downwards (Callees): Identify what the modified code calls - Side Effects: Check for database, cache, external system impacts

  1. Mark task as in_progress in TodoWrite
  2. Execute TDD Flow (RED → GREEN → REFACTOR):

- Write failing test first, verify it fails - Implement minimal code to pass - Refactor if needed (keep tests green)

  1. Verify tests pass - uv run pytest tests/path/to/test.py -v
  2. Run actual program - Show real output with sample data
  3. Check diagnostics - Must be zero errors - mcp__ide__getDiagnostics()
  4. Validate Definition of Done - Check all criteria from plan
  5. Mark task completed in TodoWrite

⛔ STEP 10 IS MANDATORY - DO NOT SKIP

  1. UPDATE PLAN FILE IMMEDIATELY: Use Edit tool to change in the plan file: - [] Task N:... → - [x] Task N:... Also update Progress Tracking section: **Completed:** X | **Remaining:** Y You MUST do this BEFORE proceeding to the next task. Failure to update = incomplete implementation.
  2. Check context usage - Run $PWD/.claude/bin/ccp check-context --json

Critical Task Rules

⚠️ NEVER SKIP TASKS:

  • EVERY task MUST be fully implemented
  • NO exceptions for "MVP scope" or complexity
  • If blocked: STOP and report specific blockers
  • NEVER mark complete without doing the work

Verification Checklist

Before marking complete:

  • Test written and FAILED (RED phase)
  • Implementation written
  • Test PASSES (GREEN phase)
  • Program executed with verified output
  • No diagnostics errors

When All Tasks Complete

⚠️ CRITICAL: Follow these steps exactly:

  1. Quick verification: mcp__ide__getDiagnostics() and uv run pytest
  2. FOR MIGRATIONS ONLY - Feature Parity Check:

- Run the NEW code and verify it produces expected output - Compare behavior with OLD code (if still available) - Check Feature Inventory - every feature should now be implemented - If ANY feature is missing: DO NOT mark complete - add tasks for missing features

  1. MANDATORY: Update plan status to COMPLETE Edit the plan file and change the Status line: Status: PENDING → Status: COMPLETE
  2. Inform user: "✅ All tasks complete. Proceeding to verification..."
  3. The /spec workflow will automatically continue to /verify - do not tell user to run another command

Migration Completion Checklist

For migration/refactoring tasks, verify before marking COMPLETE:

  • All tests pass
  • New code runs without errors
  • Feature Inventory shows all features mapped to completed tasks
  • Old code functionality is replicated in new code
  • "Out of Scope" items were intentional removals (user confirmed), not forgotten migrations

If you cannot check ALL boxes, the migration is INCOMPLETE. Add new tasks.


⛔ WHEN THIS SKILL COMPLETES - CRITICAL

When all tasks are done and Status is set to COMPLETE, this skill ends.

Control returns to /spec. /spec MUST then:

  1. Re-read the plan file to confirm Status: COMPLETE
  2. IMMEDIATELY invoke Skill(verify, plan-path) in the same response
  3. DO NOT end the response without invoking /verify

The phrase "Proceeding to verification..." means NOTHING if you don't actually invoke /verify.

This skill's job is done. /spec takes over and MUST continue the workflow.

平台分布

Claude Code

30.61%
按下载量换算53

Cursor

24.1%
按下载量换算42

trae

17.38%
按下载量换算30

OpenCode

11.58%
按下载量换算20

Codex

7.77%
按下载量换算14

roo

3.11%
按下载量换算5

安全审计

暂无安全审计结果可展示。

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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