Agent skill

Skill Creator

by xuzhougeng in xuzhougeng/wisp-science

Create, update, validate, and evaluate Wisp skills. An agent skill from xuzhougeng/wisp-science.

AGPL-3.0Auto-check passedAgent Workflows

Install Skill Creator

skills CLI
$ npx skills add xuzhougeng/wisp-science --skill skill-creator -a claude-code

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

GitHub CLI
$ gh skill install xuzhougeng/wisp-science 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/xuzhougeng/wisp-science.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
1k
Token cost
~1.3k tokens
SKILL.md length
562 words
Files
3 (incl. scripts)
Skills in repo
25
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Create, update, validate, and evaluate Wisp skills. An agent skill from xuzhougeng/wisp-science.

  • Works in 8 steps: Define concrete user requests that… → Search existing skills before creating a… → Choose a lowercase hyphenated name and… → …
  • Authoring a project-local
  • SKILL.md covers Structure, Workflow, Frontmatter and Runtime sidecar rules, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Skill Creator is an agent skill from xuzhougeng/wisp-science. Create, update, validate, and evaluate Wisp skills. Use when authoring a project-local or installable skill, refining its trigger description, adding deterministic scripts or Python/R runtime sidecars, or testing whether another Agent can follow the workflow.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/package_skill.py` and `scripts/quick_validate.py`).

It sits in Agent Workflows, covering Skill authoring. It works with Python. The repository describes itself as: Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models. The licence is AGPL-3.0.

When your agent uses it

  • Authoring a project-local
  • Installable skill
  • Refining its trigger description
  • Adding deterministic scripts

Example prompts

  • “/skill-creator”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Define concrete user requests that should trigger the skill and the expected
  2. Search existing skills before creating a duplicate.
  3. Choose a lowercase hyphenated name and create
  4. Add reusable scripts before writing long inline code examples. Execute every
  5. Add root-level runtime.py and/or runtime.r when helpers need to work with
  6. Validate structure with this skill's
  7. Refresh or reopen the project if the new skill does not yet appear, then find
  8. Exercise the skill on realistic tasks. When explicit Wisp delegation is

What it can do on your machine

Read from SKILL.md and the folder at commit 2ba143b. 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 2 files in scripts/ (Python), which the agent can run.

    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 1.3k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 562 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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 xuzhougeng/wisp-science at commit 2ba143b, republished under its AGPL-3.0 licence (© xuzhougeng). 562 words, ~1,255 tokens.

Download SKILL.mdSave it as .claude/skills/skill-creator/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
skill-creator
description
Create, update, validate, and evaluate Wisp skills. Use when authoring a project-local or installable skill, refining its trigger description, adding deterministic scripts or Python/R runtime sidecars, or testing whether another Agent can follow the workflow.

Create Wisp skills

Author project-local skills under .wisp/skills/<name>/. Wisp also discovers bundled skills, user-installed skills, and paths configured by WISP_SKILLS_PATH, but only normal project paths are directly writable through Agent file tools.

Structure

text
<skill-name>/
├── SKILL.md               # frontmatter trigger + procedure body
├── runtime.py             # optional helpers for the persistent Python runtime
├── runtime.r              # optional helpers for the persistent R runtime
├── scripts/               # optional standalone deterministic programs
├── references/            # optional detailed domain material
└── assets/                # optional output templates or static inputs

Keep SKILL.md concise. Put triggering information in frontmatter description; put essential procedure in the body; move detailed variants to one-level-deep references. Add only resources the workflow actually uses.

Workflow

  1. Define concrete user requests that should trigger the skill and the expected outputs.
  2. Search existing skills before creating a duplicate.
  3. Choose a lowercase hyphenated name and create .wisp/skills/<name>/SKILL.md with write.
  4. Add reusable scripts before writing long inline code examples. Execute every new script on representative local data.
  5. Add root-level runtime.py and/or runtime.r when helpers need to work with persistent interpreter state. The rendered skill supplies a one-time loading instruction for each file: exec(compile(...)) through python, or source(..., local = TRUE) through r. Skill loading itself does not execute them or inject Wisp tools. These files run inside the selected runtime; do not invoke them as standalone CLI scripts.
  6. Validate structure with this skill's scripts/quick_validate.py <skill-directory>.
  7. Refresh or reopen the project if the new skill does not yet appear, then find it with search_skills and load it with use_skill.
  8. Exercise the skill on realistic tasks. When explicit Wisp delegation is available, use a fresh bounded task with only the skill path and user-style request; do not leak the expected answer into the evaluation prompt.

For a user-wide installation, ask the user to install the validated folder via Settings → Skills. There is no Agent-side publish, overwrite, or delete API.

Frontmatter

At minimum include:

yaml
---
name: my-skill
description: Perform X. Use when the user asks for Y, Z, or related output.
---

The folder name and name should match. The description is the primary trigger; state both what the skill does and when it should be selected.

Show full SKILL.md (267 more words)Show less

Runtime sidecar rules

Keep top-level code definition-only:

  • allow imports, function definitions, and literal constant assignments;
  • defer optional third-party imports into function bodies;
  • do not run work, access the network, or modify files at load time;
  • do not depend on injected Agent, Run, credential, artifact, or model objects;
  • pass paths and configuration explicitly;
  • use the corresponding python or r tool after loading; reload when that runtime restarts or the conversation/execution context changes;
  • Python and R retain separate state; use prefixed names to avoid collisions with other helpers within each language's namespace;
  • Python loading runs in __main__, so put self-checks in explicitly called functions rather than a __main__ guard.

Use scripts/ when a helper is a standalone CLI, needs argument parsing, or should run through run_in_context. Choose by state reuse and execution needs, not file length. scripts/runtime.py and scripts/runtime.r are ordinary scripts; only the reserved root-level filenames get runtime loading guidance.

Bundled scripts

  • scripts/quick_validate.py <skill-dir> — checks frontmatter shape, kebab-case naming, folder/name match, and length limits; prints every problem at once.
  • scripts/package_skill.py <skill-dir> [out-dir] — validates, then zips the folder into <name>.skill for user-wide installation, skipping build junk and a root-level evals/ folder.

To evaluate a skill, run it on realistic tasks yourself (step 8 above) and keep evaluation artifacts out of the skill folder unless they are intentional reusable resources.

Wisp boundaries

  • search_skills and use_skill do not edit the catalog.
  • Project file tools cannot manage user-wide installed skills outside granted workspace paths.
  • run_in_context executes deterministic work; it does not publish skills or call models.
  • Specialist creation is separate. Load customize and use save_specialist only when that explicit tool is advertised.

© xuzhougeng, AGPL-3.0. 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 2 other files (scripts) in skills/skill-creator of xuzhougeng/wisp-science.

  • SKILL.md
  • scripts/package_skill.py
  • scripts/quick_validate.py

Open the folder on GitHubat commit 2ba143b

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 skillxuzhougeng/wisp-science1k—~1.3kAutomated safety check: PassAGPL-3.0
SkillAnything Skill GeneratorAgentSkillOS/SkillAnything471—~1.9kAutomated safety check: PassMIT
DBS Skill Makerdontbesilent2025/dbskill11k—~1.2kAutomated safety check: PassCustom licence
Skill Creatorluongnv89/asm954—~5.3kAutomated safety check: PassMIT
Run History Skill Builderdongshuyan/compass-skills753—~1.8kAutomated safety check: PassMIT
Skill Contract Reviewerrohitg00/ai-engineering-from-scratch66k1 repos~450Automated safety check: PassMIT

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Works with

Categories

Questions about Skill Creator

What does Skill Creator do?

Create, update, validate, and evaluate Wisp skills. An agent skill from xuzhougeng/wisp-science. Skill Creator is an agent skill from xuzhougeng/wisp-science. Create, update, validate, and evaluate Wisp skills.

When should I use Skill Creator?

Skill Creator fits situations like: authoring a project-local; installable skill; refining its trigger description; adding deterministic scripts.

How do I install Skill Creator in Claude Code?

Run `npx skills add xuzhougeng/wisp-science --skill skill-creator -a claude-code`. Or copy the skill folder (skills/skill-creator in xuzhougeng/wisp-science) 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 xuzhougeng/wisp-science --skill skill-creator -a codex`. Or copy the skill folder (skills/skill-creator in xuzhougeng/wisp-science) 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 xuzhougeng/wisp-science --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. 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 AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Creator use?

About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Skill Creator?

Skills that share tags, products or a category with Skill Creator: SkillAnything Skill Generator (AgentSkillOS/SkillAnything, 471 stars), DBS Skill Maker (dontbesilent2025/dbskill, 11k stars), Skill Creator (luongnv89/asm, 954 stars) and Run History Skill Builder (dongshuyan/compass-skills, 753 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Creator?

xuzhougeng (a GitHub user) maintains it in xuzhougeng/wisp-science, which has 1,026 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 10, 2026.

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