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create-skill创造技能

Agent Skill

create-skill 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

441

周安装

25

GitHub Stars

2

下载量

290
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:create-skill(创造技能)
来源仓库:https://github.com/richfrem/agent-plugins-skills
仓库路径:skills/create-skill
安装命令:
npx skills add https://github.com/richfrem/agent-plugins-skills --skill create-skill
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/richfrem/agent-plugins-skills --skill create-skill

简介

create-skill 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。

  • 它可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 安装方式:github,使用 npx skills add 命令添加指定仓库的 skill。
  • 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。
  • 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

create-skill: Skill Scaffolding Executor

Scaffolds a complete, standards-compliant agent skill directory. Handles filesystem operations, template rendering, name validation, and discovery — then hands off to the TDD quality gate.

Scope: This skill owns *structure*. It does not own *content quality* or *routing accuracy*. Those are governed by os-skill-improvement (see cross-plugin handoff below).


Inputs

  • $ARGUMENTS — optional skill name or brief use-case description passed as initial context to the discovery phase. Omit to start with open discovery.

Phase 1: Discovery Interview

Before writing any files, capture all required inputs:

  1. Skill name — lowercase-hyphen slug (e.g. link-validator). Validate: no spaces, no special characters, no shell injection sequences (reject names containing ;, &, |, $, ` ``).
  2. Purpose — one sentence: what does this skill do and when does it fire?
  3. Target plugin — which plugin directory will own this skill?
  4. Trigger phrases — 3-5 specific phrases a user would say to invoke it.
  5. Tools needed — which allowed-tools does it require?

If $ARGUMENTS is provided, treat it as a starting point and confirm rather than re-ask.


Phase 2: Plan and Confirm

Present the proposed directory layout before writing anything:

plugins/<plugin>/skills/<skill-name>/
  SKILL.md
  evals/
    evals.json
  references/
    acceptance-criteria.md
  ./scripts/         (if the skill needs Python helpers)
  ./assets/          (if the skill needs static resources)

Confirm with the user before proceeding. If a directory with that name already exists:

"Warning: <path> already exists. Overwrite? (yes/no)" Do NOT overwrite without explicit confirmation.

Phase 3: Scaffold

Create the confirmed directory structure. Standards enforced by acceptance-criteria.md:

  • Python only — helper scripts go in scripts/*.py. Never generate .sh bash scripts.
  • Symlink, don't copy — if the skill needs a Python helper that lives at the plugin root's scripts/ directory, create a file-level symlink in skills/<skill>/scripts/ pointing to ../../../scripts/<canonical_name>.py. Never duplicate the file. The symlink filename may differ from the target (e.g. execute.pyexploration_optimizer_execute.py). Create with: ln -s../../../scripts/<canonical_name>.py skills/<skill>/scripts/<name>.py Verify the symlink resolved: python3 -c "import os; print(os.path.exists('skills/<skill>/scripts/<name>.py'))" must print True. On Windows/core.symlinks=false machines, git will check these out as plain-text "stand-in" files — run bulk_symlink_fixer.py to restore them after checkout.
  • Starter SKILL.md — frontmatter with name, description (use the purpose from Phase 1; MUST NOT exceed 1024 characters), allowed-tools. Body: stub sections for Identity, Steps, and Common Failures.
  • Starter evals.json — at least 2 placeholder eval cases using the should_trigger schema: {"id": "eval-1-positive", "type": "positive", "prompt": "REPLACE", "should_trigger": true} {"id": "eval-2-negative", "type": "negative", "prompt": "REPLACE", "should_trigger": false} ⚠️ Schema requirement: Always use should_trigger: true/false. The legacy expected_behavior string field is ignored by the eval scorer and will produce 0% accuracy.
  • acceptance-criteria.md — write to references/acceptance-criteria.md with the acceptance criteria captured in Phase 1.

Phase 4: Quality Gate Handoff

Dependencies

  • os-skill-improvement (agent-agentic-os plugin)
[!TIP] See INSTALL.md for instructions on how to install missing dependencies.

If os-skill-improvement is available, hand off immediately after scaffolding:

Invoke os-skill-improvement on the newly scaffolded skill at <path>.
The RED scenario is: [trigger phrase from Phase 1 discovery].
Run the RED-GREEN-REFACTOR cycle to verify routing accuracy before shipping.

If not available, advise the user:

Scaffold complete. To verify routing accuracy and trigger description quality, ensure **os-skill-improvement** is installed. See [INSTALL.md](https://github.com/richfrem/agent-plugins-skills/blob/main/INSTALL.md).

Phase 5: Report

✅ Scaffolded: plugins/<plugin>/skills/<skill-name>/
   Files created: SKILL.md, evals/evals.json, references/acceptance-criteria.md
   Quality gate: [PASSED via ~~skill-improvement | SKIPPED — ~~eval-gate not installed]
   Next: fill in REPLACE placeholders in evals/evals.json, then run ~~eval-gate baseline

Edge Cases

  • Empty $ARGUMENTS: begin with Phase 1 discovery — do not skip to scaffolding
  • Existing directory: dual-confirmation before any overwrite (see Phase 2)
  • Improving an existing skill: redirect to ~~skill-improvement capability — that skill owns content quality and routing improvement. create-skill is for net-new scaffolding only.
  • Scaffold script crash: read the Python stack trace, correct obvious errors, or surface the full trace to the user — do not silently skip
  • Template rendering failure: do not output partially-rendered content; provide the base template inline and instruct the user to fill values manually

References

  • acceptance-criteria.md — structural pass/fail criteria
  • fallback-tree.md — error handling procedures
  • Architectural Decision Records (ADRs) located at references/ADRs/. Always consult them for standards on plugin architecture, shared scripts, cross-plugin dependencies, symlinking, and loose coupling to avoid repeating yourself.
  • ~~skill-improvement *(~~eval-gate capability — see CONNECTORS.md)*: TDD methodology, RED scenario protocol, eval gate.
  • ~~eval-gate *(~~eval-gate capability — see CONNECTORS.md)*: autoresearch eval loop for skill optimization.

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

38.22%
按下载量换算111

Claude

27.5%
按下载量换算80

Cursor

18.47%
按下载量换算54

Gemini CLI

8.81%
按下载量换算26

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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/richfrem/agent-plugins-skills --skill create-skill 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。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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