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Claude Md

Community
poshan0126
claude-md

Keep CLAUDE.md current and lean — capture this session's durable learnings into it (default), or `audit` it for stale commands, drift, and bloat. Enforces the line budget either way.

Overview

Publisherposhan0126
Repositorydotclaude
Skill nameclaude-md
Stars
870
Forks
204
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 poshan0126 on GitHub. Read the source before you install it.

Installation

Install the Claude Md 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/poshan0126/dotclaude/tree/main/skills/claude-md
  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/poshan0126/dotclaude.git /tmp/dotclaude
mkdir -p .claude/skills
cp -r /tmp/dotclaude/skills/claude-md .claude/skills/claude-md
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Claude Md 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 Claude Md 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 Claude Md 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.

CLAUDE.md loads every turn for every developer; this skill is how it earns that. Two modes: default captures learnings from the current session; audit checks the whole file against reality.

Capture (default)

Scan THIS conversation for durable, project-level learnings. A learning qualifies only if ALL of these hold:

  • It would prevent a repeat mistake. The user corrected you, a command failed in a non-obvious way, or a constraint surprised you.
  • It's not derivable from the code. Claude can re-discover file structure and signatures; it can't re-discover "the staging DB is the one named prod_replica".
  • It's durable. True next month, not just this task. Session-specific state belongs in /catchup handoff, not here.
  • It's not already covered by CLAUDE.md, a rule in .claude/rules/, or enforced by a hook.

For each qualifying learning (usually 0-3 per session — finding none is a fine outcome):

  1. Draft it as ONE line, with the why if it isn't obvious: Use \make test-fast` for iteration — `make test` spins up Docker (3 min).`
  2. Pick its destination: command fixes → Commands section; constraints with a path scope → suggest a path-scoped rule instead; everything else → the matching CLAUDE.md section.
  3. If it contradicts an existing line, propose editing that line, not appending a second truth.

Present all candidates with AskUserQuestion (multiSelect — let the user pick which to keep), then apply only the selected ones.

Audit (when $ARGUMENTS contains audit)

Check every line of CLAUDE.md against reality:

  1. Commands: does each documented command still exist (package.json scripts, Makefile targets, etc.) and match its description? Run --help/--dry-run variants where cheap.
  2. Paths and names: do referenced directories, files, and tools still exist?
  3. Duplication: lines that repeat .claude/rules/ content, hook-enforced behavior, or standard conventions Claude already knows — propose deletion.
  4. Leftovers: any > REPLACE: template blocks — propose deletion.
  5. Staleness candidates: claims contradicted by recent code (cross-check anything that smells off against the source).

Report findings as a table (line → problem → proposed fix/deletion), confirm, apply.

Budget check (both modes, always last)

CLAUDE.md non-blank lines at skill start: !grep -cvE '^[[:space:]]*$' CLAUDE.md 2>/dev/null || echo 0

Under 25 non-blank lines = healthy. 25-50 = list the longest sections, propose trims. Over 50 = the additions don't go in until something comes out — propose the trade explicitly ("add line X, delete lines Y-Z"). The number above is the pre-edit baseline; after applying changes, recount with grep -cvE '^[[:space:]]*$' CLAUDE.md 2>/dev/null || echo 0 to confirm the result still fits.

Rules

  • NEVER write without user confirmation.
  • Adding is guilty until proven innocent: every line must pay for itself every session.
  • One line per learning. If it needs a paragraph, it belongs in a rule or in docs, with at most a pointer here.
  • Don't touch CLAUDE.local.md — that's the user's personal space.

Frequently asked questions

What does the Claude Md AI skill do?

Keep CLAUDE.md current and lean — capture this session's durable learnings into it (default), or `audit` it for stale commands, drift, and bloat. Enforces the line budget either way.

Why use Claude Md on TypingMind?

Because you install it once and use it with any model. Claude Md 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 Claude Md in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/poshan0126/dotclaude/tree/main/skills/claude-md. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Claude Md?

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 Claude Md?

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

Is the Claude Md AI skill free?

Yes. It is published on GitHub by poshan0126 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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