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anthropic-skill-creatorAnthropic 技能 creator

Agent Skill

anthropic-skill-creator 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

1,616

周安装

68

GitHub Stars

4

下载量

566
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

2

许可证

unknown

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:anthropic-skill-creator(Anthropic 技能 creator)
来源仓库:https://github.com/s-hiraoku/synapse-a2a
仓库路径:skills/anthropic-skill-creator
安装命令:
npx skills add https://github.com/s-hiraoku/synapse-a2a --skill anthropic-skill-creator
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/s-hiraoku/synapse-a2a --skill anthropic-skill-creator

简介

anthropic-skill-creator 提供技能创建最佳实践,指导构建可靠、简洁且易触发的 Agent 技能。

  • 适用于 Codex、Claude、Cursor、Gemini CLI 中开发自定义技能与自动化流程。
  • 强调渐进式披露、YAML 前端定义与模块化资源组织,提升技能可维护性。
  • 安装前请确认脚本执行权限与依赖可用性,注意是否会修改项目结构与配置文件。
  • 适用于团队协作与技能复用,建议编写清晰用例与错误处理逻辑。

SKILL.md

Create Skills

Build skills that trigger correctly, execute reliably, and stay concise.

Core Principles

  • Use progressive disclosure:

- Frontmatter (name, description) for trigger selection. - SKILL.md body for core workflow. - references/ for deep details loaded only when needed.

  • Keep skills composable: avoid assumptions that this is the only active skill.
  • Prefer deterministic scripts for fragile validation logic.

Workflow

  1. Define 2-3 concrete use cases.
  2. Draft trigger-strong frontmatter.
  3. Design reusable resources (scripts/, references/, assets/).
  4. Write actionable instructions and error handling.
  5. Run triggering/functional/performance tests.
  6. Iterate based on under-trigger/over-trigger signals.

1) Define Use Cases

Capture for each use case:

  • User phrasing (what they actually say)
  • Intended result
  • Multi-step workflow and required tools (built-in and/or MCP)
  • Failure points that need guardrails

If use cases are vague, ask targeted follow-up questions before authoring.

2) Frontmatter Design (Most Important)

Write only what is needed to trigger correctly.

Required fields:

  • name: kebab-case, matches folder name
  • description: include BOTH

- What the skill does - When to use it (trigger phrases/context/file types)

Description formula:

  • [What it does] + [When to use it] + [Key capabilities]

Good pattern:

  • "Processes PDF legal documents for contract review. Use when users ask for clause extraction, risk flags, or redline summaries from.pdf contracts."

Bad pattern:

  • "Helps with projects."

Precision controls:

  • Add negative triggers to reduce over-triggering.
  • Mention relevant file types when applicable.
  • Keep wording aligned with real user phrases from use cases.

3) Resource Plan

  • scripts/: deterministic checks/transforms used repeatedly
  • references/: large docs, domain logic, variant-specific guidance
  • assets/: templates and artifacts used in outputs

Rules:

  • Keep SKILL.md compact; link to references/.
  • Avoid extra docs in skill folder (README.md, changelog, etc.).

4) Instruction Writing

Write imperative, testable steps.

Include:

  • Clear step order and dependencies
  • Validation checkpoints
  • Common errors with concrete fixes
  • Example user inputs and expected outputs

For critical checks, prefer scripts over prose-only checks.

5) Test Protocol

Run these three test groups.

A. Triggering Tests

  • Should trigger on obvious requests
  • Should trigger on paraphrased requests
  • Should NOT trigger on unrelated requests

Target benchmark:

  • Trigger on ~90% of relevant prompts in a 10-20 prompt suite

B. Functional Tests

Validate:

  • Correct outputs
  • Tool/API call success
  • Error handling paths
  • Edge cases

C. Performance Comparison

Compare with vs without skill:

  • Number of clarification turns
  • Failed tool/API calls
  • Token usage
  • End-to-end completion quality

6) Iteration Rules

Under-triggering signals:

  • Skill does not load when expected
  • Users keep manually invoking it

Fix:

  • Add clearer trigger phrases and technical terms to description.

Over-triggering signals:

  • Skill loads for unrelated requests

Fix:

  • Add negative triggers and tighten scope language.

Execution issues:

  • Inconsistent outputs, retries, user corrections

Fix:

  • Tighten instructions, add explicit validations, and script critical checks.

Troubleshooting Quick Guide

  • Upload fails with missing SKILL.md: file must be exactly SKILL.md.
  • Invalid frontmatter: verify YAML delimiters --- and valid syntax.
  • Invalid skill name: use lowercase kebab-case.
  • Skill not followed: move critical instructions to top and make them concrete.
  • Slow behavior: move long content to references/; reduce enabled skills.

Scaffolding

Scaffold a new skill directory:

# Use default path (.agents/skills)
bash scripts/new_skill.sh <skill-name>

# Place in .claude/skills directory
bash scripts/new_skill.sh <skill-name> --path .claude/skills

References

  • references/checklist.md
  • references/prompt-templates.md
  • references/patterns.md
  • references/source.md: source PDF and extracted principles
  • references/trigger-examples.md: trigger/non-trigger examples for description tuning
  • references/failure-remedies.md: failure patterns and minimum effective fixes

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

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

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

Codex

37.54%
按下载量换算212

Claude

30.36%
按下载量换算172

Cursor

17.71%
按下载量换算100

Gemini CLI

10.13%
按下载量换算57

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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