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New Skill

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hyhmrright
new-skill

Scaffold a new brooks-lint analysis skill so it passes `npm run validate` and `npm run evals` on the first try — generates skills/{name}/SKILL.md (with the mandatory "Do NOT trigger for:" clause and a Process section citing guide step ranges) plus skills/{name}/{name}-guide.md (sequentially numbered steps), then appends paired eval scenarios. Triggers when the maintainer asks to "add a new skill", "scaffold a skill", or "create a brooks-lint mode". Do NOT trigger for: editing an existing skill's content, adding a single eval to an existing skill, or authoring skills for some other plugin.

Overview

Publisherhyhmrright
Repositorybrooks-lint
Skill namenew-skill
Stars
1.5K
Forks
69
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by hyhmrright on GitHub. Read the source before you install it.

Installation

Install the New Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/hyhmrright/brooks-lint/tree/main/.claude/skills/new-skill
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hyhmrright/brooks-lint.git /tmp/brooks-lint
mkdir -p .claude/skills
cp -r /tmp/brooks-lint/.claude/skills/new-skill .claude/skills/new-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable New Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads New Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so New Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

brooks-lint — New Skill Scaffold

Skill name comes from $ARGUMENTS (kebab-case, e.g. brooks-security). If empty, ask for the name and a one-line purpose first.

Follow the repo's "Adding a New Skill" checklist exactly:

  1. Create skills/{name}/SKILL.md with frontmatter — name, a description that ends with a Do NOT trigger for: clause (validate-enforced for shipped skills; omitting it causes false triggering), and a Process section of 3–6 bullets that cite the guide's step ranges inline (e.g. Scan risks (Steps 1–6 of the guide)). Mirror the structure of an existing skill such as skills/brooks-review/SKILL.md (Setup → Process → Mode line).
  2. Create skills/{name}/{name}-guide.md with sequentially numbered steps — no gaps, no duplicates. Sub-steps like Step 2a are allowed. The guide owns the detailed steps; the SKILL.md Process is just an orientation skeleton.
  3. Wire the framework. The new SKILL.md Setup section must Read the relevant _shared/ files (common.md for Iron Law + Report Template, plus decay-risks.md / test-decay-risks.md as applicable) — _shared/ is NOT auto-loaded.
  4. Add eval coverage to evals/evals.json: append with the next sequential id at least one happy-path scenario (with the relevant risk code in expected_output) and at least one false-positive scenario flagged no_risk_codes: true. Each scenario needs id, name, prompt, expected_output, mode, files.
  5. Validate. npm run validate (structure + step continuity + Process-section presence) and npm run evals (eval schema). Fix until both pass.
  6. Local-test. cp -r skills/* ~/.claude/skills/brooks-lint/ (if you've symlinked ~/.claude/skills/brooks-lint to the repo, skip this — edits are already live), trigger the new skill in a Claude session, verify the Iron Law output, then restore the marketplace copy: /plugin marketplace update → /plugin install brooks-lint@brooks-lint-marketplace.

Do NOT register a slash command by hand — short forms are auto-installed by the session-start hook. Report the files created and the validate/evals results.

Frequently asked questions

What does the New Skill AI skill do?

Scaffold a new brooks-lint analysis skill so it passes `npm run validate` and `npm run evals` on the first try — generates skills/{name}/SKILL.md (with the mandatory "Do NOT trigger for:" clause and a Process section citing guide step ranges) plus skills/{name}/{name}-guide.md (sequentially numbered steps), then appends paired eval scenarios. Triggers when the maintainer asks to "add a new skill", "scaffold a skill", or "create a brooks-lint mode". Do NOT trigger for: editing an existing skill's content, adding a single eval to an existing skill, or authoring skills for some other plugin.

Why use New Skill on TypingMind?

Because you install it once and use it with any model. New Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install New Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hyhmrright/brooks-lint/tree/main/.claude/skills/new-skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use New Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with New Skill?

As many as you like. As long as a model supports skills, you can use New Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the New Skill AI skill free?

Yes. It is published on GitHub by hyhmrright under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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