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claude-code-agentsClaude 代码 Agent

Agent Skill

claude-code-agents 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

776

周安装

33

GitHub Stars

59

下载量

272
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

3

许可证

MIT

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:claude-code-agents(Claude 代码 Agent)
来源仓库:https://github.com/vasilyu1983/ai-agents-public
仓库路径:skills/claude-code-agents
安装命令:
npx skills add https://github.com/vasilyu1983/ai-agents-public --skill claude-code-agents
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/vasilyu1983/ai-agents-public --skill claude-code-agents

简介

claude-code-agents 指导创建具有最小权限和明确委托契约的子代理。

  • 适合需要长期稳定运行的自动化代理,强调工具集精简和行为可预测性。
  • 通过 YAML frontmatter 定义代理属性,建议从只读工具开始逐步扩展。
  • 测试阶段应在真实任务上验证输出合同是否符合预期。
  • 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。

SKILL.md

Claude Code Agents

Create and maintain Claude Code agents/subagents with predictable behavior, least-privilege tools, and explicit delegation contracts.

Quick Start

  1. Create an agent file at .claude/agents/<agent-name>.md (kebab-case filename).
  2. Add YAML frontmatter (required: name, description; optional: tools, model, permissionMode, skills, hooks).
  3. Write the agent prompt: responsibilities, workflow, and an output contract.
  4. Minimize tools: start read-only, then add only what the agent truly needs.
  5. Test on a real task and iterate.

Minimal template:

---
name: sql-optimizer
description: Optimize SQL queries, explain tradeoffs, and propose safe indexes
tools: Read, Grep, Glob
model: sonnet
---

# SQL Optimizer

## Responsibilities
- Diagnose bottlenecks using query shape and plans when available
- Propose optimizations with risks and expected impact

## Workflow
1. Identify the slow path and data volume assumptions
2. Propose changes (query rewrite, indexes, stats) with rationale
3. Provide a verification plan

## Output Contract
- Summary (1–3 bullets)
- Recommendations (ordered)
- Verification (commands/tests to run)

Workflow (2026)

  1. Define the agent’s scope and success criteria.
  2. Choose a model based on risk, latency, and cost (default to sonnet for most work).
  3. Choose tools via least privilege; avoid granting Edit/Write unless required.
  4. If delegating with Task, define a handoff contract (inputs, constraints, output format).
  5. Add safety rails for destructive actions and secrets.
  6. Add a verification step (checklist, tests, or a dedicated verifier agent).

Frontmatter Fields (Summary)

  • name (REQUIRED): kebab-case; match filename (without .md).
  • description (REQUIRED): state when to invoke + what it does; include keywords users will say.
  • tools (OPTIONAL): explicit allow-list; prefer small, purpose-built sets.
  • model (OPTIONAL): haiku for fast checks, sonnet for most tasks, opus for high-stakes reasoning, inherit to match parent.
  • permissionMode (OPTIONAL): prefer defaults; change only with a clear reason and understand the tradeoffs.
  • skills (OPTIONAL): preload skill packs for domain expertise; keep the list minimal.
  • hooks (OPTIONAL): automate guardrails; prefer using the hooks skill for patterns and safety.

For full tool semantics and permission patterns, use references/agent-tools.md. For orchestration and anti-patterns, use references/agent-patterns.md.

2026 Best Practices (Domain Expertise)

  • Use small, specialized agents; avoid “god agents”.
  • Keep agent prompts short; put repo conventions in CLAUDE.md/project memory and domain knowledge in skills.
  • Budget context: pass file paths, minimal snippets, and constraints; avoid dumping long logs/code.
  • Use explicit handoffs for subagents: “Goal / Constraints / Inputs / Output Contract”.
  • Add a verifier step for risky changes (security, migrations, infra, auth).
  • Treat CLI fields/features as moving; verify against official docs in data/sources.json.

Validation Checklist

  • Frontmatter: name matches filename; description is single-line and trigger-oriented; tools are minimal; model fits risk.
  • Prompt: responsibilities are concrete; workflow is actionable; output contract is explicit.
  • Delegation: subagent briefs are specific and bounded; orchestrator verifies integration.
  • Safety: confirm destructive ops; avoid secrets/PII; follow repository policies.

Navigation

  • frameworks/shared-skills/skills/claude-code-agents/references/agent-patterns.md
  • frameworks/shared-skills/skills/claude-code-agents/references/agent-tools.md
  • frameworks/shared-skills/skills/claude-code-agents/data/sources.json
  • frameworks/shared-skills/skills/claude-code-skills/SKILL.md
  • frameworks/shared-skills/skills/claude-code-commands/SKILL.md
  • frameworks/shared-skills/skills/claude-code-hooks/SKILL.md

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

29.79%
按下载量换算81

Cursor

24.37%
按下载量换算66

Gemini CLI

20.09%
按下载量换算55

Antigravity

13.12%
按下载量换算36

OpenCode

7.63%
按下载量换算21

github-copilot

3.21%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

来源信息

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