Skill Creator
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
创建、重构或验收可复用技能包。适用于把重复工作流做成跨宿主能力包，并明确触发规则、第一动作、渐进加载、资产模板、脚本校验、触发评测、基线对比、验收证据、闭环治理、公开交付边界和不可伪造的运行证明；也适用于清理冗余参考、拆分人读模板与机器结构数据、补齐首次公开前的验收记录、记录运行反馈、生成写回或不写回决定。当用户提到"做一个 skill / 改 skill / 优化 skill / 评审…
Install Meta Skill Creator
$ npx skills add KimYx0207/Kim_Service --skill meta-skill-creator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install KimYx0207/Kim_Service meta-skill-creator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/KimYx0207/Kim_Service.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/meta-skill-creator .claude/skills/meta-skill-creator && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "meta-skill-creator" agent skill from https://github.com/KimYx0207/Kim_Service/tree/main/skills/meta-skill-creator into .claude/skills/meta-skill-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-skill-creator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/KimYx0207/Kim_Service/tree/main/skills/meta-skill-creatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add KimYx0207/Kim_Service --skill meta-skill-creator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install KimYx0207/Kim_Service meta-skill-creator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/KimYx0207/Kim_Service.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/meta-skill-creator .agents/skills/meta-skill-creator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meta-skill-creator" agent skill from https://github.com/KimYx0207/Kim_Service/tree/main/skills/meta-skill-creator into .agents/skills/meta-skill-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-skill-creator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add KimYx0207/Kim_Service --skill meta-skill-creator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install KimYx0207/Kim_Service meta-skill-creator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/KimYx0207/Kim_Service.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/meta-skill-creator .cursor/skills/meta-skill-creator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "meta-skill-creator" agent skill from https://github.com/KimYx0207/Kim_Service/tree/main/skills/meta-skill-creator into .cursor/skills/meta-skill-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-skill-creator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/KimYx0207/Kim_Service.git --path skills/meta-skill-creator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add KimYx0207/Kim_Service --skill meta-skill-creator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install KimYx0207/Kim_Service meta-skill-creator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/KimYx0207/Kim_Service.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/meta-skill-creator .gemini/skills/meta-skill-creator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "meta-skill-creator" agent skill from https://github.com/KimYx0207/Kim_Service/tree/main/skills/meta-skill-creator into .gemini/skills/meta-skill-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-skill-creator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install KimYx0207/Kim_Service meta-skill-creatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add KimYx0207/Kim_Service --skill meta-skill-creator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/KimYx0207/Kim_Service.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/meta-skill-creator .github/skills/meta-skill-creator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "meta-skill-creator" agent skill from https://github.com/KimYx0207/Kim_Service/tree/main/skills/meta-skill-creator into .github/skills/meta-skill-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-skill-creator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add KimYx0207/Kim_Service --skill meta-skill-creator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install KimYx0207/Kim_Service meta-skill-creator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/KimYx0207/Kim_Service.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/meta-skill-creator .opencode/skills/meta-skill-creator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "meta-skill-creator" agent skill from https://github.com/KimYx0207/Kim_Service/tree/main/skills/meta-skill-creator into .opencode/skills/meta-skill-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-skill-creator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
meta-skill-creator- GitHub stars
- 174
- Token cost
- ~1.6k tokens
- SKILL.md length
- 271 words
- Files
- 45 (incl. scripts, references, assets)
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- MIT
At a glance
创建、重构或验收可复用技能包。适用于把重复工作流做成跨宿主能力包，并明确触发规则、第一动作、渐进加载、资产模板、脚本校验、触发评测、基线对比、验收证据、闭环治理、公开交付边界和不可伪造的运行证明；也适用于清理冗余参考、拆分人读模板与机器结构数据、补齐首次公开前的验收记录、记录运行反馈、生成写回或不写回决定。当用户提到"做一个 skill / 改 skill / 优化 skill / 评审…
- Works in 3 steps: core：所有候选都要明确目标、触发、输入、输出、执行步骤契约、边界和最小验证。目… → conditional：只有领域陌生、事实会变化、产物可视化、面向公开受众、需要多… → release：只有声称可分发、可销售、可迁移或明显优于基线时，才强制执行…
- Tasks that involve Skill authoring
- SKILL.md covers 核心契约, 能力分层, 渐进加载 and 工作流, plus 4 more sections
- Calls python
What it does
Meta Skill Creator is an agent skill from KimYx0207/Kim_Service. 创建、重构或验收可复用技能包。适用于把重复工作流做成跨宿主能力包，并明确触发规则、第一动作、渐进加载、资产模板、脚本校验、触发评测、基线对比、验收证据、闭环治理、公开交付边界和不可伪造的运行证明；也适用于清理冗余参考、拆分人读模板与机器结构数据、补齐首次公开前的验收记录、记录运行反馈、生成写回或不写回决定。当用户提到"做一个 skill / 改 skill / 优化 skill / 评审 skill / 加 trigger eval / 加 release gate / 加 baseline / 准备开源 / 做闭环 / 写回改进"时，必须使用本技能；不要用普通提示词改写 SKILL.md。一旦涉及 skill 设计、改写、评审、对比、验收、量化打分、冗余清理、frontmatter 加字段、加 license、加 compatibility、闭环复盘，立刻调用本 skill。
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 47 other files, including scripts, reference files and assets (for example `CHANGELOG.md`, `README.md` and `assets/acceptance-run-template.md`). Compatibility notes: Requires Python 3.10+. Use python, py -3, or python3 according to the host; offline evidence fetch only requires local files, online fetch requires network…
It sits in Agent Workflows, covering Skill authoring. The repository describes itself as: 面向 Claude Code、Codex 等 AI 编码助手的 Hook 与 Agent Skill 开源合集。 The licence is MIT.
When your agent uses it
- Tasks that involve Skill authoring
Example prompts
- “/meta-skill-creator”
Requirements
- Python 3
- Compatibility (from SKILL.md): Requires Python 3.10+. Use python, py -3, or python3 according to the host; offline evidence fetch only requires local files, online fetch requires network access.
- Pre-approved tools (allowed-tools): Read, Glob, Grep, Bash(python:*), Bash(py:*), Bash(python3:*), Write, Edit
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- core：所有候选都要明确目标、触发、输入、输出、执行步骤契约、边界和最小验证。目标必须说明谁在什么压力下得到什么最终产物以及如何验收；每个步骤必须有输入、动作、可观察输出、进入下一步的条件和失败路线；边界必须覆盖非目标、权限、事实来源、副作用、停止与降级。
- conditional：只有领域陌生、事实会变化、产物可视化、面向公开受众、需要多轮决策或依赖宿主工具时，才加载深度研究、内容机会、创意决策板、多模态或交互式 MVP 模块。
- release：只有声称可分发、可销售、可迁移或明显优于基线时，才强制执行 clean-session 基线、宿主证明、人工验收和完整闭环。
What it can do on your machine
Read from SKILL.md and the folder at commit e388fd5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGlobGrepBash(python:*)Bash(py:*)Bash(python3:*)WriteEdit
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires Python 3.10+. Use python, py -3, or python3 according to the host; offline evidence fetch only requires local files, online fetch requires network access.
From compatibility in the SKILL.md frontmatter.
Context cost
Meta Skill Creator loads about 1.6k tokens when it runs, and up to ~22k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 271 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from KimYx0207/Kim_Service at commit e388fd5, republished under its MIT licence (© KimYx0207). 271 words, ~1,588 tokens.
Download SKILL.mdSave it as
.claude/skills/meta-skill-creator/SKILL.md (or your agent's skills folder). This skill also uses 44 other files; get the full folder from GitHub.- name
- meta-skill-creator
- description
- 创建、重构或验收可复用技能包。适用于把重复工作流做成跨宿主能力包，并明确触发规则、第一动作、渐进加载、资产模板、脚本校验、触发评测、基线对比、验收证据、闭环治理、公开交付边界和不可伪造的运行证明；也适用于清理冗余参考、拆分人读模板与机器结构数据、补齐首次公开前的验收记录、记录运行反馈、生成写回或不写回决定。当用户提到"做一个 skill / 改 skill / 优化 skill / 评审 skill / 加 trigger eval / 加 release gate / 加 baseline / 准备开源 / 做闭环 / 写回改进"时，必须使用本技能；不要用普通提示词改写 SKILL.md。一旦涉及 skill 设计、改写、评审、对比、验收、量化打分、冗余清理、frontmatter 加字段、加 license、加 compatibility、闭环复盘，立刻调用本 skill。
- allowed-tools
- Read, Glob, Grep, Bash(python:*), Bash(py:*), Bash(python3:*), Write, Edit
- compatibility
- Requires Python 3.10+. Use python, py -3, or python3 according to the host; offline evidence fetch only requires local files, online fetch requires network access.
- license
- MIT
元技能创建器
用这个技能把可重复工作流做成能运行、能验收、能迁移的技能包。产物不是“更长的提示词”，而是一个默认入口很轻、细节按需加载、校验方法可复现的能力包。
核心契约
- 从用户真实工作流出发，不从个人偏好的模板出发。
- 写文件前先证明这件事值得技能化；一次性任务不要硬做成技能包。
SKILL.md只保留路由面：触发、第一动作、渐进加载、硬停止和验证。- 详细研究、产品设计、包计划、触发评测、验收方法和模板放到
references/、assets/、evals/、scripts/。 - 需要补全模糊意图、让用户多次选择或先锁 MVP 再批量生成的 skill，必须设计 Codex
request_user_input/ Claude CodeAskUserQuestion等宿主原生决策面；Markdown 选择卡只能是降级等待界面，不能冒充真实确认。 - 图片、视频、演示文稿、文档、报表、仪表盘或其他渲染产物，优先检查 Image2 / 宿主原生能力；MCP、脚本、SVG、静态预览是降级或辅助路线，必须有降级证据。
- 外部材料只能抽象成质量原则；不要复制别人的命名、页面结构、视觉系统、提示词、示例或商业话术。
- 当候选 Skill 要影响公开受众的理解、偏好或行动，或要生成多页视觉内容时，必须先让 Skill 自己研究受众需求、公开讨论和同类供给，再形成“机会研究 -> 受众决策 -> 创意系统”。不要把流量研究变成用户必填问题，也不要把单一平台的标题/封面套路抽到通用层。
- 每次交付都要闭环：记录运行证据、评审发现、
writeback/proposal/none-with-reason/blocked决策，并把可复用学习写回对应 reference、template、validator、eval 或 example。
能力分层
完整包是能力库，不是所有候选 Skill 的固定模板。按任务风险和交付阶段选择强度：
core：所有候选都要明确目标、触发、输入、输出、执行步骤契约、边界和最小验证。目标必须说明谁在什么压力下得到什么最终产物以及如何验收；每个步骤必须有输入、动作、可观察输出、进入下一步的条件和失败路线；边界必须覆盖非目标、权限、事实来源、副作用、停止与降级。conditional：只有领域陌生、事实会变化、产物可视化、面向公开受众、需要多轮决策或依赖宿主工具时，才加载深度研究、内容机会、创意决策板、多模态或交互式 MVP 模块。release：只有声称可分发、可销售、可迁移或明显优于基线时，才强制执行 clean-session 基线、宿主证明、人工验收和完整闭环。
不得因为完整包里存在某个模板，就要求每个候选 Skill 填满它；也不得因为当前任务简单，就删除以后命中条件时需要的能力。
渐进加载
只读当前阶段需要的文件：
| 当前阶段 | 读取 | 何时使用 |
|---|---|---|
| 意图与领域研究 | references/intent-domain-research.md、assets/domain-research-brief-template.md | 所有候选先写最小领域研究简报；只有领域陌生、当前事实会变、用户要求 deep research、涉及公开兼容/安全/商业就绪声明时升级为深度研究。检索后证据仍不足则标 research-needed。内容营销或公开传播类技能再加载内容机会研究。 |
| 表面与产物链 | references/experience-surface-model.md | Skill 要产出文件、媒体、截图、演示文稿、报告、仪表盘或其他可见产物。 |
| 产品化设计 | references/product-design.md | 需要决定多个产物、用户旅程、3 分钟可见结果、首次公开表面或商业交付时。简单单一工作流不强制。 |
| 运行契约 | references/skill-contract.md | 写入或改动候选技能包前使用。 |
| 来源抽象边界 | references/source-abstraction-boundary.md | 使用外部案例、内部样例或竞品材料时，先抽象再重写。 |
| 包计划 | assets/package-plan-template.md | 编辑前映射 SKILL.md、参考文件、资产、脚本、评测和示例。 |
| 多模态/工具路线 | references/multimodal-tooling.md、assets/multimodal-prompt-brief-template.md | Skill 依赖 Image2、宿主媒体能力、MCP、本地渲染器或脚本；先记录本地能力清单和多模态简报。多页视觉产物还要写每页角色、画面、文字区、禁止遮挡区和页面连续性。 |
| 交互式决策与 MVP 门 | references/interactive-mvp-product-skill.md | Skill 要在模糊意图下弹多决策、锁定风格/封面/首屏/MVP 后批量生产，或要跨 Codex、Claude Code 宿主复用确认流程。 |
| 评测设计 | references/evaluation-method.md、evals/trigger-eval.json | core 至少设计触发正反例、两个真实任务和一个边界任务。 |
| 发布级运行证明 | assets/trigger-run-record-template.json、assets/host-event-anchor-template.json、assets/host-attestation-template.json、assets/reviewer-attestation-template.json | 仅在 release 层设计真实 with/without clean-session、目录外运行/人工锚点和基线对比。 |
| 发布门禁 | references/release-gate.md、assets/acceptance-run-template.md | 声称可以分发、迁移或交付给别人使用前。 |
| 闭环治理 | references/closed-loop-governance.md、assets/loop-run-record-template.md | 验收、失败、复盘、漂移、发布准备或用户要求“闭环”时；必须写明运行记录和写回决策。 |
assets/ 里的 .md 是给人填写的工作模板，.json 是给脚本或校验读取的结构数据；只有创建对应产物时才读取。scripts/ 只在校验、转换或打包时运行，不要把脚本内容粘进对话上下文。
工作流
- 分类：判断是
new-skill、refactor-skill、evaluate-skill、package-plan，还是not-a-skill。 - Fetch 与研究：先做足以验证目标、原生产物和失败模式的最小证据扫查；只有命中
conditional条件时才升级并执行references/intent-domain-research.md的 Abstract Deep Research Protocol。只收集会改变包决策、产物表面、工具路线或验收标准的证据。公开传播/营销类 Skill 由 Skill 自己研究受众需求、场景词、同类内容、公开讨论与内容空缺，不把“流量从哪里来”问给用户。 - 设计：确定结果、触发边界、输入输出、本地能力路线、交互式决策面、MVP 锁定门、包结构和公开失败模式。多页视觉产物必须有 Creative Decision Board，能说明每页画什么、字放哪、为什么这样安排。
- 构建：只创建或修改当前目标必须触碰的最小文件集。
- 验证：
core层运行结构检查、触发正反例、两个真实任务和一个边界任务；release层再用跨平台 Python 入口创建pending验收目录，由外部宿主分别运行不加载/加载 Skill 的干净会话，并把 host event/attestation 与 human reviewer attestation 留在 run folder 外。报告structure_status=artifact_consistent、runtime_status=verified、human_status=verified分别证明了什么，任何一层都不能替代另一层。 - 闭环：填写运行记录；决定
writeback、proposal、none-with-reason或blocked；只有可复用学习才写回规则，不能把聊天总结冒充闭环。
包结构
可用模块（不是每个候选 Skill 的默认文件清单）：
SKILL.md：轻入口，负责触发和执行契约。references/：领域规则、产品模型、能力路线、来源抽象、评测方法、发布门禁。assets/：可填写模板、工作表、结构数据或提示词简报。scripts/：确定性校验、转换、渲染或包检查。evals/：触发评测和回归用例。examples/：小而真实的输入/输出示例，不写私有历史、内部评分或假运行证据。
只有当新文件能防止具体失败，或能让 Skill 更容易跑通时才添加。不要为了保存研究笔记而新增参考文件。
硬停止
遇到以下情况先停止并说明阻塞：
- 任务只是一次性提示词，不是可重复工作流。
- 目标只写了功能或文件名，没有用户、压力场景、最终产物和可观察成功标准。
- 执行步骤只有“分析、优化、处理”等空动作，没有输入、动作、输出、转移条件或失败路线。
- 边界没有说明非目标、事实来源、权限/副作用、停止条件和降级行为。
- 领域表面靠猜，没有用户材料、本地证据或当前来源证据支撑。
- 多模态 Skill 没有本地能力清单和输出证据路线。
- 需要用户多轮决策或 MVP 确认，却没有原生选择工具、降级等待界面、确认状态字段和批量生成停止规则。
- 包依赖生成文件，但没有办法证明文件、截图、媒体或渲染结果存在。
- 候选包要声称
public-ready、可销售、可迁移或优于基线，但 acceptance / baseline 只有准备脚本生成的pending模板，或只有 run 内日志/本地 hash，没有两个规范化后不同的真实 session、目录外 host event/attestation、逐维人工评分和目录外 reviewer attestation。 - 触发范围和另一个活跃技能包重叠，却没有路由边界。
- 设计会暴露私有评测历史、内部复盘、实现伤痕，或让人看出模仿某个外部项目。
验证
以下命令验收 meta-skill-creator 自身的完整合同，不是所有候选 Skill 的固定命令：
python scripts/check_meta_skill_package.py .
python scripts/check_closed_loop.py .
python scripts/test_acceptance_runs.py
python scripts/prepare_acceptance_run.py --mode acceptance --input-file <raw-input-file>
python scripts/check_acceptance_runs.py <completed-run-dir>prepare_acceptance_run.py 只准备模板，不能调用模型、预填分数或产出 PASS；准备完成后的 check_acceptance_runs.py 失败是预期行为。本地 hash 只证明 artifact consistency；只有真实 clean-session 输出、目录外 host event/attestation、冻结 rubric 的逐维人工评分和目录外 reviewer attestation 全部绑定后，runtime/human 才能 verified，Ready 才允许 pass。逐维 evidence_refs 必须指向两份真实输出中存在且非空的行或行范围；包裹 placeholder、AI/自动化 reviewer、伪造或越界行号都必须失败。如果当前系统没有 python 命令，可用 py -3；Linux/macOS 优先 python3。shell 包装器会拒绝低于 3.10 的解释器。
候选 Skill 应运行它自己的脚本与评测。只有进入 release 层时，才套用完整 clean-session、宿主证明和人工验收门禁。
最终报告
用中文报告：改了哪些文件、包决策、触发边界、渐进加载图、校验命令、证明层级、闭环决策和剩余风险。给一个小的前后对照或输出片段，让用户能判断这个技能包是否真的更容易使用。
© KimYx0207, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 44 other files (scripts, references, assets) in skills/meta-skill-creator of KimYx0207/Kim_Service.
- SKILL.md
- CHANGELOG.md
- LICENSE
- NOTICE
- README.md
- assets/acceptance-run-template.md
- assets/domain-research-brief-template.md
- assets/host-attestation-template.json
- assets/host-event-anchor-template.json
- assets/loop-run-record-template.md
- assets/multimodal-prompt-brief-template.md
- assets/package-plan-template.md
- assets/product-design-board-template.md
- assets/reviewer-attestation-template.json
- assets/skill-contract-template.md
- assets/trigger-run-record-template.json
- capability.json
- docs/images/alipay.jpg
- … and 27 more
Open the folder on GitHubat commit e388fd5
Compare with similar skills
Meta Skill Creator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Meta Skill Creator this skillKimYx0207/Kim_Service | 174 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Skill CreatorAzure/azqr | 796 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 | |
| Claude Code Skill Developer Guidediet103/claude-code-infrastructure-showcase | 10k | 11 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Darwin Skill Optimizeralchaincyf/darwin-skill | 6.2k | 1 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Claude Code Command Developmentanthropics/claude-plugins-official | 38k | 10 repos | ~4.8k | Automated safety check: Pass | Apache-2.0 | |
| Claude Code Plugin Structureanthropics/claude-plugins-official | 38k | 10 repos | ~3.4k | Automated safety check: Pass | Apache-2.0 |
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Kim Decision
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A skill your agent uses when the user asks for KIM, Kim, laojin, 老金, 问问老金, 老金怎么看, asks for decision analysis, structured reasoning, product/business/content review, PRD, MVP, user path, growth…
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Related
Categories
Questions about Meta Skill Creator
What does Meta Skill Creator do?
创建、重构或验收可复用技能包。适用于把重复工作流做成跨宿主能力包，并明确触发规则、第一动作、渐进加载、资产模板、脚本校验、触发评测、基线对比、验收证据、闭环治理、公开交付边界和不可伪造的运行证明；也适用于清理冗余参考、拆分人读模板与机器结构数据、补齐首次公开前的验收记录、记录运行反馈、生成写回或不写回决定。当用户提到"做一个 skill / 改 skill / 优化 skill / 评审…. Meta Skill Creator is an agent skill from KimYx0207/Kim_Service.
When should I use Meta Skill Creator?
Meta Skill Creator fits situations like: tasks that involve Skill authoring.
How do I install Meta Skill Creator in Claude Code?
Run `npx skills add KimYx0207/Kim_Service --skill meta-skill-creator -a claude-code`. Or copy the skill folder (skills/meta-skill-creator in KimYx0207/Kim_Service) into .claude/skills/meta-skill-creator in your project. Claude Code loads it when a task matches its description.
How do I install Meta Skill Creator in Codex?
Run `npx skills add KimYx0207/Kim_Service --skill meta-skill-creator -a codex`. Or copy the skill folder (skills/meta-skill-creator in KimYx0207/Kim_Service) into .agents/skills/meta-skill-creator in your project. Codex loads it when a task matches its description.
Can I use Meta Skill Creator in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add KimYx0207/Kim_Service --skill meta-skill-creator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meta-skill-creator, .gemini/skills/meta-skill-creator, .github/skills/meta-skill-creator and .opencode/skills/meta-skill-creator in your project.
What does Meta Skill Creator need to run?
Going by SKILL.md and its folder, Meta Skill Creator needs the command-line tools its instructions call (python). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Glob, Grep, Bash(python:*), Bash(py:*), Bash(python3:*), Write, Edit. Compatibility (from SKILL.md): Requires Python 3.10+. Use python, py -3, or python3 according to the host; offline evidence fetch only requires local files, online fetch requires network access..
Does Meta Skill Creator access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Meta Skill Creator safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Meta Skill Creator use?
Meta Skill Creator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Meta Skill Creator use?
About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 21k tokens, read only when the agent opens those files.
What are the alternatives to Meta Skill Creator?
Skills that share tags, products or a category with Meta Skill Creator: Skill Creator (Azure/azqr, 796 stars), Claude Code Skill Developer Guide (diet103/claude-code-infrastructure-showcase, 10k stars), Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars) and Claude Code Command Development (anthropics/claude-plugins-official, 38k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Meta Skill Creator?
KimYx0207 (a GitHub user) maintains it in KimYx0207/Kim_Service, which has 174 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 10, 2026.
Source: KimYx0207/Kim_Service on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.