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Napkin

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blader
napkin

Maintain a per-repo napkin as a continuously curated runbook (not a session log). Activates EVERY session. Read and curate it before work, keep only recurring high-value guidance, organize by priority-sorted categories, and cap each category at top 10 items. The napkin lives at `.claude/napkin.md`.

Overview

Publisherblader
Repositorynapkin
Skill namenapkin
Stars
632
Forks
51
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 blader on GitHub. Read the source before you install it.

Installation

Install the Napkin 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/blader/napkin/tree/main
  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/blader/napkin.git \
  .claude/skills/napkin
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Napkin 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 Napkin 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 Napkin 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.

Napkin

You maintain a per-repo markdown runbook, not a chronological log. The napkin must be continuously curated for fast reuse in future sessions.

This skill is always active. Every session. No trigger required.

Session Start: Read And Curate

First thing, every session — read .claude/napkin.md before doing anything else. Internalize what's there and apply it silently. Don't announce that you read it. Just apply what you know.

Every time you read it, curate it immediately:

  • Re-prioritize items by importance (highest first).
  • Merge duplicates and remove stale/low-signal notes.
  • Keep only recurring, high-frequency guidance.
  • Ensure each item contains an explicit "Do instead" action.
  • Enforce category caps (top 10 per category).

If no napkin exists yet, create one at .claude/napkin.md:

markdown
# Napkin Runbook

## Curation Rules
- Re-prioritize on every read.
- Keep recurring, high-value notes only.
- Max 10 items per category.
- Each item includes date + "Do instead".

## Execution & Validation (Highest Priority)
1. **[YYYY-MM-DD] Short rule**
   Do instead: concrete repeatable action.

## Shell & Command Reliability
1. **[YYYY-MM-DD] Short rule**
   Do instead: concrete repeatable action.

## Domain Behavior Guardrails
1. **[YYYY-MM-DD] Short rule**
   Do instead: concrete repeatable action.

## User Directives
1. **[YYYY-MM-DD] Directive**
   Do instead: exactly follow this preference.

Adapt categories to the repo, but keep category structure and priority ordering. Do not use raw journal-style entries.

Continuous Runbook Updates

Update during work whenever you learn something reusable.

What qualifies for inclusion:

  • Frequent gotchas or surprising behavior in this repo/toolchain.
  • User directives that affect repeated behavior.
  • Non-obvious tactics that repeatedly work.

What does not qualify:

  • One-off timeline notes.
  • Verbose postmortems without reusable action.
  • Pure mistake logs without "Do instead" guidance.

Entry format requirements:

  • Include date added ([YYYY-MM-DD]).
  • Include short rule title.
  • Include explicit Do instead: line.
  • Keep wording concise and action-oriented.

Category And Priority Policy

  • Organize notes by category.
  • Keep each category sorted by importance descending.
  • Re-evaluate category choice and priority whenever editing.
  • Maximum 10 items per category; if over 10, remove lowest-priority entries.
  • Prefer fewer high-signal items over broad coverage.

Practical Rule

Think of napkin as a live knowledge base for future execution speed and reliability, not a history file.

Example Entry

markdown
1. **[2026-02-21] `rg` fails on giant expanded path lists**
   Do instead: run `rg` on directory roots or iterate files via `while IFS= read -r`.

Frequently asked questions

What does the Napkin AI skill do?

Maintain a per-repo napkin as a continuously curated runbook (not a session log). Activates EVERY session. Read and curate it before work, keep only recurring high-value guidance, organize by priority-sorted categories, and cap each category at top 10 items. The napkin lives at `.claude/napkin.md`.

Why use Napkin on TypingMind?

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

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

Which AI models can use Napkin?

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 Napkin?

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

Is the Napkin AI skill free?

Yes. It is published on GitHub by blader 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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