Agent skill

Skill Creator

by kid0317 in kid0317/crewai_mas_demo

Create new skills and save them to the project's shared skills directory.

Apache-2.0Auto-check passedAgent Workflows

Install Skill Creator

skills CLI
$ npx skills add kid0317/crewai_mas_demo --skill skill-creator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install kid0317/crewai_mas_demo skill-creator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/kid0317/crewai_mas_demo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-creator .claude/skills/skill-creator && rm -rf skills-src

Use ~/.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/

Facts

Skill name
skill-creator
GitHub stars
163
Token cost
~1.6k tokens
SKILL.md length
600 words
Files
18 (incl. scripts, references, assets)
Skills in repo
12
Repo updated
First seen
Licence
Apache-2.0

At a glance

Create new skills and save them to the project's shared skills directory.

  • Works in 5 steps: Check for existing skill → Write SKILL.md → Register in load_skills.yaml → …
  • Users want to turn a workflow
  • SKILL.md covers Creating a skill and Saving to the sandbox…
  • Runs Python scripts from its folder; calls python

What it does

Skill Creator is an agent skill from kid0317/crewai_mas_demo. Create new skills and save them to the project's shared skills directory. Use this skill when users want to turn a workflow, SOP, or repeatable multi-step process into a permanent reusable skill that future sessions can invoke reliably. Activate when: user says "保存为技能" / "create a skill for..." / "把这个流程存下来" / "以后都这样做" / "make this repeatable" / "turn this into a skill". Also activate proactively when a complex multi-step workflow is described in conversation and standardized, reliable execution would clearly…

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including scripts, reference files and assets (for example `agents/analyzer.md`, `agents/comparator.md` and `agents/grader.md`).

It sits in Agent Workflows, covering Skill authoring and Operations and SOPs. The licence is Apache-2.0.

When your agent uses it

  • Users want to turn a workflow
  • Repeatable multi-step process into a permanent reusable skill that future sessions can invoke reliably

Example prompts

  • “create a skill for...”
  • “把这个流程存下来”
  • “以后都这样做”
  • “/skill-creator”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Check for existing skill
  2. Write SKILL.md
  3. Register in load_skills.yaml
  4. Verify
  5. Return result

What it can do on your machine

Read from SKILL.md and the folder at commit d5cfc79. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 7 files in scripts/ (Python, from the files we listed), 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.

Context cost

Skill Creator loads about 1.6k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 172 tokens; SKILL.md has 600 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~172
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.6k

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 kid0317/crewai_mas_demo at commit d5cfc79, republished under its Apache-2.0 licence (© kid0317). 600 words, ~1,586 tokens.

Download SKILL.mdSave it as .claude/skills/skill-creator/SKILL.md (or your agent's skills folder). This skill also uses 17 other files; get the full folder from GitHub.
name
skill-creator
description
Create new skills and save them to the project's shared skills directory. Use this skill when users want to turn a workflow, SOP, or repeatable multi-step process into a permanent reusable skill that future sessions can invoke reliably. Activate when: user says "保存为技能" / "create a skill for..." / "把这个流程存下来" / "以后都这样做" / "make this repeatable" / "turn this into a skill". Also activate proactively when a complex multi-step workflow is described in conversation and standardized, reliable execution would clearly benefit the user. Do NOT activate for: simple facts or preferences (use memory-save), one-time tasks, or things that don't need to run consistently every time.

Skill Creator

A skill for capturing workflows and turning them into reusable skills.

The process: understand what the user wants → draft a quality SKILL.md → save it to the sandbox → register it so future sessions can use it.

Creating a skill

Capture Intent

Start by understanding the user's intent. The current conversation might already contain a workflow the user wants to capture (e.g., they say "turn this into a skill"). If so, extract answers from the conversation history first — the tools used, the sequence of steps, corrections the user made, input/output formats observed. The user may need to fill the gaps, and should confirm before proceeding.

  1. What should this skill enable the assistant to do?
  2. When should this skill trigger? (what user phrases/contexts)
  3. What's the expected output format?
Interview and Research

Proactively ask questions about edge cases, input/output formats, success criteria, and dependencies. Come prepared with context to reduce burden on the user.

Write the SKILL.md

Based on the user interview, fill in these components:

  • name: Skill identifier (kebab-case, e.g. analyze-hk-stock)
  • description: When to trigger, what it does. This is the primary triggering mechanism — include both what the skill does AND specific contexts for when to use it. Note: Claude has a tendency to "undertrigger" skills — to not use them when they'd be useful. To combat this, make the description a little "pushy". Instead of "A skill for analyzing stocks", write "Use this skill when the user asks to analyze Hong Kong stocks, research HK companies, or evaluate HK investment opportunities. Activate whenever 港股 or HK stock analysis is needed."
  • allowed-tools: Minimal list — only tools actually needed
  • the skill body
Tool constraints(项目特定,必须遵守)
  • 你只能使用 AIO-Sandbox 提供的基础工具(即本 Skill 声明中的 Read / Write / Bash / Browser)。
    • 不允许在 allowed-tools 里发明新的“业务工具名”(例如 get_hk_stock_price、search_news、generate_report 这类项目里并不存在的工具),否则主 Agent 无法真正调用这些能力。
    • 如果不确定某个工具名是否真实存在,就不要写进 allowed-tools,宁可只使用基础文件 / 命令 / 浏览器工具组合完成任务。
  • 业务逻辑和复杂流程(如“用 akshare 拉取行情并计算指标”“批量处理表格”)应通过代码脚本实现,而不是伪造一个看似专业的工具名:
    • 将实现代码沉淀到 scripts/*.py 或 scripts/*.js / scripts/*.ts 中,由 AIO-Sandbox 通过 Bash / 相关执行器调用。
    • 在 SKILL.md 正文中,用自然语言说明脚本的用法,例如:
      • “在 AIO-Sandbox 中运行 python scripts/analyze_hk_stock.py --symbol 0700.HK,该脚本内部使用 akshare 获取行情和技术指标,并将结果输出为 JSON。”
    • 不要把脚本名字写入 allowed-tools,因为脚本是通过 Bash / 运行时调用的实现细节,不是独立的 MCP 工具。
  • 当你不会写代码、或不确定如何使用某个三方库 / API 时:
    • 优先使用 Browser 类浏览器工具进行调研,查官方文档、示例代码和最佳实践;
    • 调研完成后,再回到“脚本 + 基础工具”的模式,把可复用的调用方式沉淀到 scripts/ 并在 SKILL.md 中记录清楚。
Anatomy of a Skill
skill-name/
├── SKILL.md (required)
│   ├── YAML frontmatter (name, description required)
│   └── Markdown instructions
└── Bundled Resources (optional)
    ├── scripts/    - Executable code for deterministic/repetitive tasks
    ├── references/ - Docs loaded into context as needed
    └── assets/     - Files used in output (templates, icons, fonts)
Show full SKILL.md (258 more words)Show less
Progressive Disclosure

Skills use a three-level loading system:

  1. Metadata (name + description) - Always in context (~100 words)
  2. SKILL.md body - In context whenever skill triggers (<500 lines ideal)
  3. Bundled resources - As needed (unlimited)

Keep SKILL.md under 500 lines. If approaching the limit, add a layer of hierarchy with pointers to reference files.

Writing Style

Explain to the model why things are important rather than stacking MUST/NEVER. Use theory of mind — make the skill general, not narrow to specific examples. If you find yourself writing ALWAYS or NEVER in all caps, that's a yellow flag: reframe and explain the reasoning instead. A model that understands why will handle edge cases correctly; one that just follows rules will fail on anything unexpected.

Examples pattern:

markdown
## Commit message format
**Example:**
Input: Added user authentication with JWT tokens
Output: feat(auth): implement JWT-based authentication

Output format pattern:

markdown
## Report structure
Use this template:
# [Title]
## Executive summary
## Key findings
## Recommendations

Saving to the sandbox (project-specific)

This skill runs as a Sub-Crew inside AIO-Sandbox. All file operations go through MCP tools — do not write to the local filesystem directly.

Step 1: Check for existing skill

Read /mnt/skills/load_skills.yaml to check if a skill with the same name already exists.

If it exists: ask the user — overwrite / create as -v2 / cancel. Reason: silent overwrite would destroy the user's existing SOP with no way to recover.

Step 2: Write SKILL.md
mkdir /mnt/skills/<skill-name>/
write /mnt/skills/<skill-name>/SKILL.md  ← the drafted content
Step 3: Register in load_skills.yaml

Read the current /mnt/skills/load_skills.yaml, then append:

yaml
  - name: <skill-name>
    path: ./<skill-name>
    type: task        # spawns Sub-Crew in AIO-Sandbox
    enabled: true

Write the updated file back.

Step 4: Verify

Read /mnt/skills/<skill-name>/SKILL.md and /mnt/skills/load_skills.yaml to confirm both files are written correctly and the YAML is valid.

Reason: file writes via MCP don't throw exceptions on failure — read-back verification is the only reliable confirmation.

Step 5: Return result
json
{
  "errcode": 0,
  "errmsg": "success",
  "skill_name": "<skill-name>",
  "path": "/mnt/skills/<skill-name>/SKILL.md",
  "trigger": "one-line summary of when this skill activates"
}

© kid0317, Apache-2.0. 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 17 other files (scripts, references, assets) in skills/skill-creator of kid0317/crewai_mas_demo.

  • SKILL.md
  • LICENSE.txt
  • agents/analyzer.md
  • agents/comparator.md
  • agents/grader.md
  • assets/eval_review.html
  • eval-viewer/generate_review.py
  • eval-viewer/viewer.html
  • references/schemas.md
  • scripts/__init__.py
  • scripts/aggregate_benchmark.py
  • scripts/generate_report.py
  • scripts/improve_description.py
  • scripts/package_skill.py
  • scripts/quick_validate.py
  • scripts/run_eval.py
  • … and 2 more

Open the folder on GitHubat commit d5cfc79

Compare with similar skills

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 Creator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Creator this skillkid0317/crewai_mas_demo163—~1.6kAutomated safety check: PassApache-2.0
Agent Creatorjdforsythe/forge151—~4.5kAutomated safety check: PassMIT
Writing Skillsed3dai/ed3d-plugins2501 repos~1.3kAutomated safety check: PassNone
Legal Skill Alignmentcat-xierluo/legal-skills713—~3.7kAutomated safety check: PassCC-BY-NC-4.0
Writing Skillssandgardenhq/sgai137—~4.9kAutomated safety check: PassCustom licence
Exp ReflectHHU3637kr/skills145—~2.3kAutomated safety check: PassNone

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Categories

Questions about Skill Creator

What does Skill Creator do?

Create new skills and save them to the project's shared skills directory. Skill Creator is an agent skill from kid0317/crewai_mas_demo. Create new skills and save them to the project's shared skills directory.

When should I use Skill Creator?

Skill Creator fits situations like: users want to turn a workflow; repeatable multi-step process into a permanent reusable skill that future sessions can invoke reliably.

How do I install Skill Creator in Claude Code?

Run `npx skills add kid0317/crewai_mas_demo --skill skill-creator -a claude-code`. Or copy the skill folder (skills/skill-creator in kid0317/crewai_mas_demo) into .claude/skills/skill-creator in your project. Claude Code loads it when a task matches its description.

How do I install Skill Creator in Codex?

Run `npx skills add kid0317/crewai_mas_demo --skill skill-creator -a codex`. Or copy the skill folder (skills/skill-creator in kid0317/crewai_mas_demo) into .agents/skills/skill-creator in your project. Codex loads it when a task matches its description.

Can I use 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 kid0317/crewai_mas_demo --skill 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/skill-creator, .gemini/skills/skill-creator, .github/skills/skill-creator and .opencode/skills/skill-creator in your project.

What does Skill Creator need to run?

Going by SKILL.md and its folder, Skill Creator needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does 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 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 Skill Creator use?

Skill Creator is published under the Apache-2.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Creator use?

About 1.6k tokens (SKILL.md is roughly 6.3k 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 3k tokens, read only when the agent opens those files.

What are the alternatives to Skill Creator?

Skills that share tags, products or a category with Skill Creator: Agent Creator (jdforsythe/forge, 151 stars), Writing Skills (ed3dai/ed3d-plugins, 250 stars), Legal Skill Alignment (cat-xierluo/legal-skills, 713 stars) and Writing Skills (sandgardenhq/sgai, 137 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Creator?

kid0317 (a GitHub user) maintains it in kid0317/crewai_mas_demo, which has 163 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on May 25, 2026.

Source: kid0317/crewai_mas_demo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.