Skill Improver logo

Skill Improver

OrganizationPopular
Gentleman-Programming
skill-improver

Trigger: improve skills, audit skills, refactor skills, skill quality. Audit and upgrade existing LLM-first skills.

Overview

PublisherGentleman-Programming
Repositorygentle-ai
Skill nameskill-improver
Stars
7K
Forks
760
Bundled files
1
LicenseApache-2.0
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Gentleman-Programming on GitHub. Read the source before you install it.

Installation

Install the Skill Improver 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.
  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/Gentleman-Programming/gentle-ai.git /tmp/gentle-ai
mkdir -p .claude/skills
cp -r /tmp/gentle-ai/internal/assets/skills/skill-improver .claude/skills/skill-improver
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Improver 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 Skill Improver 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 Skill Improver 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.

Activation Contract

Use this skill when asked to audit, refactor, normalize, or improve existing SKILL.md files. Use skill-creator instead when creating a brand-new skill from a reusable pattern.

Hard Rules

  • Treat docs/skill-style-guide.md as the normative style contract when it exists.
  • For installed global skills, use references/skill-style-guide.md as the bundled local copy when docs/skill-style-guide.md is unavailable.
  • Treat SKILL.md as the source of truth; preserve author intent, critical rules, activation semantics, and output requirements.
  • Use .atl/skill-registry.md as an index of skill names, triggers, scopes, and exact paths; do not expect generated summaries.
  • Default to audit-only. Modify files only when the user explicitly asks to apply improvements.
  • Never delete meaningful content silently; move long explanation, examples, templates, or schemas into local references/ or assets/.
  • Do not invent triggers, policies, or domain rules. Mark ambiguous cases for human review.

Decision Gates

SituationAction
Missing or invalid frontmatterFix name, quoted one-line description, license, and metadata
Skill reads like tutorial docsConvert to runtime instructions and move background to references/
Body exceeds budgetPreserve rules, move examples/background to supporting files
Branching logic hidden in proseConvert to a compact decision table
Rules conflict or intent is unclearReport the issue; do not rewrite that rule automatically

Execution Steps

  1. Read docs/skill-style-guide.md; if unavailable, read references/skill-style-guide.md; if neither exists, enforce the core LLM-first structure: frontmatter, Activation Contract, Hard Rules, Decision Gates, Execution Steps, Output Contract, References.
  2. Read .atl/skill-registry.md; use listed paths to select skills. If missing, scan known skill directories for */SKILL.md.
  3. For each selected skill, audit metadata, trigger clarity, section order, body budget, actionability, decision gates, output contract, and local references.
  4. Return an audit report grouped by skill with severity and exact proposed changes.
  5. In apply mode, edit only safe issues, preserve content, create supporting files when needed, then rerun or request gentle-ai skill-registry refresh.

Output Contract

Return:

  • Skills audited and paths used.
  • Issues found, grouped by severity.
  • Files changed, if apply mode was requested.
  • Registry refresh recommendation when skill metadata or paths changed.
  • Ambiguities that need human review.

References

  • docs/skill-style-guide.md — normative LLM-first skill style guide for this repo.
  • references/skill-style-guide.md — bundled local copy for installed global skills when the repo doc is unavailable.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Improver AI skill do?

Trigger: improve skills, audit skills, refactor skills, skill quality. Audit and upgrade existing LLM-first skills.

Why use Skill Improver on TypingMind?

Because you install it once and use it with any model. Skill Improver 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 Skill Improver in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Gentleman-Programming/gentle-ai/tree/main/internal/assets/skills/skill-improver. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Improver?

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 Skill Improver?

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

Is the Skill Improver AI skill free?

Yes. It is published on GitHub by Gentleman-Programming under the Apache-2.0 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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