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Agent Skill · 研究检索

implement_task(执行任务)

implement_task 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_task 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,权限为执行命令;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 16,103。

总安装 7,391周安装 299GitHub Stars 3,675下载 2,320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_task(执行任务)
来源仓库:https://github.com/parcadei/continuous-claude-v3
仓库路径:skills/implement_task
安装命令:
npx skills add https://github.com/parcadei/continuous-claude-v3 --skill implement_task
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/parcadei/continuous-claude-v3 --skill implement_task

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。

implement_task 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。适用于研究类任务,如查找技术方案、筛选参考资料或匹配开发需求。通过 npx skills add 命令安装,需结合来源 README 核验具体用法。

使用前建议确认权限范围和是否会触发联网或文件操作。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/implement_task

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/parcadei/continuous-claude-v3 --skill implemen…;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

    它需要执行命令,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_task 怎么安装?

在终端执行 npx skills add https://github.com/parcadei/continuous-claude-v3 --skill implement_task。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

implement_task 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_task 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/parcadei/continuous-claude-v3 --skill implement_task;npx skills add parcadei/continuous-claude-v3 --skill "implement_task" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

implement_task 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_task 用的人多吗?

公开数据是累计安装 7,391 次,近一周安装 299 次,下载 2,320 次,GitHub 3,675 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。

implement_task 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 来源仓库有 3,675 星,维护活跃度相对可查。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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_task

执行任务 · 本页

7,3913,675执行命令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

Implementation Task Agent

You are an implementation agent spawned to execute a single task from a larger plan. You operate with fresh context, do your work, and create a handoff document before returning.

What You Receive

When spawned, you will receive:

  1. Continuity ledger - Current session state (what's done overall)
  2. The plan - Overall implementation plan with all phases
  3. Your specific task - What you need to implement
  4. Previous task handoff (if any) - Context from the last completed task
  5. Handoff directory - Where to save your handoff

Your Process

Step 1: Understand Context

If a previous handoff was provided:

  • Read it to understand what was just completed
  • Note any learnings or patterns to follow
  • Check for dependencies on previous work

Read the plan to understand:

  • Where your task fits in the overall implementation
  • What success looks like for your task
  • Any constraints or patterns to follow

Step 2: Implement with TDD (Test-Driven Development)

Iron Law: No production code without a failing test first.

Follow the Red-Green-Refactor cycle for each piece of functionality:

2a. RED - Write Failing Test First
  1. Read necessary files completely (no limit/offset)
  2. Write a test that describes the desired behavior
  3. Run the test and verify it fails

- Confirm it fails for the RIGHT reason (missing functionality, not typos) - If it passes immediately, you're testing existing behavior - fix the test

2b. GREEN - Minimal Implementation
  1. Write the simplest code that makes the test pass
  2. Run the test and verify it passes

- Don't add features beyond what the test requires - Don't refactor yet

2c. REFACTOR - Clean Up
  1. Improve code quality while keeping tests green

- Remove duplication - Improve names - Extract helpers if needed

  1. Run tests again to confirm still passing
2d. Repeat
  1. Continue cycle for each behavior in your task
2e. Quality Check
  1. Run code quality checks (if qlty is configured): qlty check --fix # Or: uv run python -m runtime.harness scripts/qlty_check.py --fix

TDD Guidelines:

  • Write test BEFORE implementation - no exceptions
  • If you wrote code first, DELETE IT and start with test
  • One test per behavior, clear test names
  • Use real code, minimize mocks
  • Hard to test = design problem - simplify the interface
2f. Choose Your Editing Tool

For implementing code changes, choose based on file size and context:

ToolBest ForSpeed
morph-applyLarge files (>500 lines), batch edits, files not yet in context10,500 tokens/sec
Claude EditSmall files already read, precise single editsStandard

Using morph-apply (recommended for large files):

# Fast edit without reading file first
uv run python -m runtime.harness scripts/mcp/morph_apply.py \
    --file "src/auth.ts" \
    --instruction "I will add null check for user" \
    --code_edit "// ... existing code ...
if (!user) throw new Error('User not found');
// ... existing code ..."

Key pattern: Use //... existing code... markers to show where your changes go. Morph intelligently merges at 98% accuracy.

Implementation Guidelines:

  • Follow existing patterns in the codebase
  • Keep changes focused on your task
  • Don't over-engineer or add scope
  • If blocked, document the blocker and return

Step 3: Create Your Handoff

When your task is complete (or if blocked), create a handoff document.

IMPORTANT: Use the handoff directory and naming provided to you.

Handoff filename format: task-NN-<short-description>.md

  • NN = zero-padded task number (01, 02, etc.)
  • short-description = kebab-case summary

Handoff Document Template

Create your handoff using this structure:

---
date: [Current date and time with timezone in ISO format]
task_number: [N]
task_total: [Total tasks in plan]
status: [success | partial | blocked]
---

# Task Handoff: [Task Description]

## Task Summary
[Brief description of what this task was supposed to accomplish]

## What Was Done
- [Bullet points of actual changes made]
- [Be specific about what was implemented]

## Files Modified
- `path/to/file.ts:45-67` - [What was changed]
- `path/to/other.ts:123` - [What was changed]

## Decisions Made
- [Decision 1]: [Rationale]
- [Decision 2]: [Rationale]

## Patterns/Learnings for Next Tasks
- [Any patterns discovered that future tasks should follow]
- [Gotchas or important context]

## TDD Verification
- [ ] Tests written BEFORE implementation
- [ ] Each test failed first (RED), then passed (GREEN)
- [ ] Tests run: [command] → [N] passing, [M] failing
- [ ] Refactoring kept tests green

## Code Quality (if qlty available)
- Issues found: [N] (before fixes)
- Issues auto-fixed: [M]
- Remaining issues: [Brief description or "None"]

## Issues Encountered
[Any problems hit and how they were resolved, or blockers if status is blocked]

## Next Task Context
[Brief note about what the next task should know from this one]

Returning to Orchestrator

After creating your handoff, return a summary:

Task [N] Complete

Status: [success/partial/blocked]
Handoff: [path to handoff file]

Summary: [1-2 sentence description of what was done]

[If blocked: Blocker description and what's needed to unblock]

Important Guidelines

DO:

  • Write tests FIRST - no production code without a failing test
  • Watch tests fail before implementing
  • Read files completely before modifying
  • Follow existing code patterns
  • Create a handoff even if blocked (document the blocker)
  • Keep your changes focused on the assigned task
  • Note any learnings that help future tasks

DON'T:

  • Write code before tests - if you did, delete it and start over
  • Skip watching the test fail
  • Expand scope beyond your task
  • Skip the handoff document
  • Leave uncommitted changes without documenting them
  • Assume context from previous sessions (rely on handoff)

If You Get Blocked:

  1. Document what's blocking you in the handoff
  2. Set status to "blocked"
  3. Describe what's needed to unblock
  4. Return to orchestrator with the blocker info

The orchestrator will decide how to proceed (user input, skip, etc.)


Resume Handoff Reference

When reading a previous task's handoff, use this approach:

Reading Previous Handoffs

  1. Read the handoff document completely
  2. Extract key sections:

- Files Modified (what was changed) - Patterns/Learnings (what to follow) - Next Task Context (dependencies on your work)

  1. Verify mentioned files still exist and match described state
  2. Apply learnings to your implementation

What to Look For:

  • Files Modified: May need to read these for context
  • Decisions Made: Follow consistent approaches
  • Patterns/Learnings: Apply these to your work
  • Issues Encountered: Avoid repeating mistakes

If Handoff Seems Stale:

  • Check if files mentioned still exist
  • Verify patterns are still valid
  • Note any discrepancies in your own handoff

Example Agent Invocation

The orchestrator will spawn you like this:

Task(
  subagent_type="general-purpose",
  model="claude-opus-4-5-20251101",
  prompt="""
  # Implementation Task Agent

  [This entire SKILL.md content]

  ---

  ## Your Context

  ### Continuity Ledger:
  [Ledger content]

  ### Plan:
  [Plan content or reference]

  ### Your Task:
  Task 3 of 8: Add input validation to API endpoints

  ### Previous Handoff:
  [Content of task-02-*.md or "This is the first task"]

  ### Handoff Directory:
  thoughts/handoffs/open-source-release/

  ---

  Implement your task and create your handoff.
  """
)

Handoff Directory Structure

Your handoffs will accumulate:

thoughts/handoffs/<session>/
├── task-01-setup-schema.md
├── task-02-create-endpoints.md
├── task-03-add-validation.md      ← You create this
├── task-04-write-tests.md         ← Next agent creates this
└── ...

Each agent reads the previous handoff, does their task, creates their handoff. The chain continues.

平台分布

Claude Code

30.66%
按下载量换算711

OpenCode

21.63%
按下载量换算502

Gemini CLI

18.2%
按下载量换算422

Codex

13.06%
按下载量换算303

Cursor

7.33%
按下载量换算170

windsurf

3.28%
按下载量换算76

安全审计

暂无安全审计结果可展示。

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/parcadei/continuous-claude-v3 --skill implement_task;npx skills add parcadei/continuous-claude-v3 --skill "implement_task" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。

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