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研究检索external-servicegithub未标认证来源可访问clear审计通过

claude-ecosystemClaude ecosystem 搜索

Agent Skill

claude-ecosystem 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。

总安装

588

周安装

24

GitHub Stars

12

下载量

188
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-ecosystem(Claude ecosystem 搜索)
来源仓库:https://github.com/samhvw8/dotfiles
仓库路径:skills/claude-ecosystem
安装命令:
npx skills add https://github.com/samhvw8/dotfiles --skill claude-ecosystem
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/samhvw8/dotfiles --skill claude-ecosystem

简介

涵盖 Claude Code CLI 工具、MCP 集成与扩展架构指南。

  • 适合配置钩子、开发技能或理解输出样式规范。
  • 使用时需根据模块需求选择对应参考资料路径。
  • 涉及初始化时应遵循 CLAUDE.md 最佳实践模板。
  • claude-ecosystem 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Claude Ecosystem

Comprehensive guide for Claude Code CLI tool, extensibility (agents/skills/output styles), and CLAUDE.md architecture.

Module Selection

NeedModuleReference
Setup/ConfigurationCLIreferences/getting-started.md, references/configuration.md
Slash CommandsCLIreferences/slash-commands.md
MCP ServersCLIreferences/mcp-integration.md
Hooks & PluginsCLIreferences/hooks-and-plugins.md
Create AgentsExtensibilityreferences/agent-development.md
Create SkillsExtensibilityreferences/skill-development.md
Output StylesExtensibilityreferences/skill-development.md
Init CLAUDE.mdArchitecturereferences/initialization-workflow.md
Optimize CLAUDE.mdArchitecturereferences/optimization-patterns.md
Enterprise/CI-CDCLIreferences/enterprise-features.md, references/cicd-integration.md
TroubleshootingCLIreferences/troubleshooting.md

Quick Reference

Extension Types

TypeInvocationPurposeLocation
AgentsTask toolSpecialized sub-processes.claude/agents/
SkillsModel-invokedDomain knowledge.claude/skills/{name}/
Output Styles/output-styleModify main agent.claude/output-styles/

Model Selection (Agents)

ModelUse WhenTarget Time
haikuFast tasks, exploration< 3s
sonnetBalanced, most use cases< 10s
opusComplex reasoning< 30s

CLAUDE.md Token Budget

ComplexityTarget Tokens
Simple100-200
Medium200-400
Complex400-800
Maximum1000

Extensibility Principles

Core Truths

TruthMeaning
Expertise TransferMake Claude *think* like expert, not follow steps
Flow, Not FrictionProduce output, not intermediate work
Voice Matches DomainSound like practitioner, not documentation
Focused Beats ComprehensiveConstrain ruthlessly

Decision Heuristics

RuleGuidance
3-File Rule3+ files → agent. Enhances YOUR work → skill.
Delegation TestRuns independently? Agent. Guides you? Skill.
Activation BreadthTrigger on 80% of relevant requests
Tool ConstraintStart with 2-3 essential tools

Activation Keywords

The description field is your activation gate. Include:

  1. Task verbs: create, build, debug, fix, deploy
  2. Problem descriptions: slow, broken, failing
  3. Artifact types: component, API, database
  4. Casual synonyms: "make it faster" → optimize

Common Workflows

Create Agent

---
name: agent-name
description: "Use when [use case]. PROACTIVELY for [triggers].\n\nExamples:\n<example>\nContext: [situation]\nuser: [request]\nassistant: [response]\n</example>"
tools: Grep, Glob, Read, Bash
model: haiku
---

# Agent Name

Mission statement.

## Strategy
[Approach]

## Does NOT Do
- [boundary] (use X instead)

Create Skill

---
name: skill-name
description: "[Core purpose]. [Technologies]. Capabilities: [list].
  Actions: [verbs]. Keywords: [triggers]. Use when: [scenarios]."
allowed-tools: Read, Grep, Glob
---

# Skill Name

## Patterns

### [Pattern Name]
**When you see:** [Observable trigger]
**This indicates:** [Expert insight]
**Therefore:** [Action]
**Watch out:** [Pitfall]

Initialize CLAUDE.md

  1. Analyze codebase (language, framework, structure)
  2. Extract code style, commands, patterns
  3. Generate with template, customize
  4. Validate commands, check token count
  5. Target <400 lines, prefer <250

Detailed: references/initialization-workflow.md

Optimize CLAUDE.md

  1. Evaluate token efficiency
  2. Find redundancy, outdated info
  3. Apply token reduction techniques
  4. Target 40%+ reduction
  5. Verify critical info retained

Detailed: references/optimization-patterns.md


Anti-Patterns

PatternProblemFix
Kitchen Sink Agent10+ tools, handles "everything"Constrain to 3-5 tools
Echo SkillRestates docs without insightAdd expert layer
Invisible TriggerDescription uses only formal termsInclude user language
Procedure ManualStep 1, 2, 3...Teach patterns, not steps
Over-DocumentationCLAUDE.md > 400 linesDocument project-specific only

Quality Signals

Good Signs

  • Frontmatter reads like "when to use" guide
  • First 10 lines provide actionable guidance
  • Expert would nod "yes, that's how I think"
  • Explicit constraints on what it does NOT handle

Warning Signs

  • 50% reference tables or field definitions
  • No mention of "when NOT to use"
  • Generic language for any domain
  • Body exceeds 600 lines

References

CLI Tool

  • references/getting-started.md - Installation, setup, auth
  • references/slash-commands.md - Complete command catalog
  • references/mcp-integration.md - MCP server configuration
  • references/hooks-and-plugins.md - Hook types, plugin structure
  • references/configuration.md - Settings hierarchy
  • references/enterprise-features.md - IAM, SSO, sandboxing
  • references/cicd-integration.md - GitHub Actions, GitLab CI
  • references/ide-integration.md - VS Code, JetBrains
  • references/advanced-features.md - Extended thinking, caching
  • references/troubleshooting.md - Common issues
  • references/api-reference.md - Admin, Messages, Skills APIs
  • references/best-practices.md - Project organization, security
  • references/agent-skills.md - Creating skills via CLI

Extensibility

  • references/agent-development.md - Full YAML structure, system prompts
  • references/skill-development.md - Structure, triggers, hooks

CLAUDE.md

  • references/initialization-workflow.md - Creating new CLAUDE.md
  • references/optimization-patterns.md - Token reduction techniques
  • references/integration-strategies.md - Global config, MCP tools
  • references/output-templates.md - Standard output formats

Related Skills

IMPORTANT: When creating/editing prompts, use prompt-architect skill.

Skill("prompt-architect") → Create/enhance skill/agent prompt content

Documentation:

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

windsurf

26.95%
按下载量换算51

Claude Code

22.76%
按下载量换算43

Codex

17%
按下载量换算32

Antigravity

12.48%
按下载量换算23

OpenCode

8%
按下载量换算15

Cursor

3.83%
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

external-service

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。

来源信息

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