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Project Cairn

Community
iBlinkQ
project-cairn

Standardize how an AI-collaboration project turns work into reusable knowledge. Use when initializing or retrofitting Project Cairn in a project, recording progress after meaningful work, maintaining AGENTS/CLAUDE/cairn docs, auditing project knowledge for drift or missing records, pulling and citing external knowledge, or graduating validated project experience into a reusable knowledge base.

Overview

PublisheriBlinkQ
Repositoryproject-cairn
Skill nameproject-cairn
Stars
244
Forks
45
Bundled files
42
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.

  • 42 bundled files

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

  • Open source

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

Installation

Install the Project Cairn 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/iBlinkQ/project-cairn/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/iBlinkQ/project-cairn.git \
  .claude/skills/project-cairn
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Project Cairn 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 Project Cairn 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 Project Cairn 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.

Project Cairn

Project Cairn gives AI-collaboration projects a durable way to keep and reuse what they learn while doing real work. The Skill supplies the method, AGENTS.md carries always-read project rules, and .cairn/config.yaml stores machine-readable configuration.

This Skill is documentation-first. It provides instructions, templates, references, and provider adapters. It has no CLI, MCP server, background hook, chat-end trigger, automatic provider write, or automatic history migration. Routine maintenance happens during normal work because AGENTS.md carries the rules. Provider writes require human confirmation.

Routing

Load exactly the reference you need:

  • references/init.md — initialize, retrofit, bootstrap, or set up Project Cairn in a project.
  • references/consume.md — pull, cite, reuse, or apply external knowledge from the configured knowledge base.
  • references/maintenance.md — record progress, update LOG, update ROADMAP, maintain topic notes, or apply Cairn rules after work.
  • references/audit.md — inspect, audit, validate, clean up, or find missing project knowledge records.
  • references/upgrade.md — upgrade an initialized project instance to the current skill spec, or check how far it has drifted (instance drift after the skill itself evolved).
  • references/graduation.md — graduate knowledge, move reusable experience to a knowledge base, or judge graduation-readiness; a provider write additionally reads only the selected references/graduation/<provider>.md.
  • references/frontmatter.md — create or review Cairn topic notes or knowledge-base notes.
  • references/branch-closure.md — review, close, abandon, or roll back an exploration branch and salvage its cairn/ knowledge before it disappears.
  • references/zh-glossary.md — writing project docs in Chinese (or resolving what a Chinese term should be); fixed English↔Chinese terminology mapping for Project Cairn's own vocabulary.

Frontmatter describes triggers, not workflow.

Templates

assets/templates/ contains AGENTS.md, CLAUDE.md, config.yaml, user-config.yaml, LOG.md, ROADMAP.md, topic.md, and Cited.md. init scaffolds AGENTS.md, CLAUDE.md, .cairn/config.yaml, cairn/LOG.md, and optional cairn/ROADMAP.md; it can seed optional ~/.config/cairn/config.yaml from user-config.yaml. topic.md, Cited.md, and Reference/ are trigger-created. Templates use {{PLACEHOLDER}} tokens; never hardcode a provider or knowledge path.

Boundaries

  • No background hook and no chat-end trigger are assumed.
  • Day-to-day maintenance happens because AGENTS.md is read as project rules.
  • Audit is the safety net for missed records.
  • Graduation is candidate detection plus human confirmation.
  • Historical migration is optional and separate from init.
  • scripts/*.sh use bash (verified on macOS/Linux; Windows needs WSL or Git Bash). scripts/*.py use Python 3 without a shell; notion-graduate-batch.py also needs PyYAML.

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 Project Cairn AI skill do?

Standardize how an AI-collaboration project turns work into reusable knowledge. Use when initializing or retrofitting Project Cairn in a project, recording progress after meaningful work, maintaining AGENTS/CLAUDE/cairn docs, auditing project knowledge for drift or missing records, pulling and citing external knowledge, or graduating validated project experience into a reusable knowledge base.

Why use Project Cairn on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/iBlinkQ/project-cairn/tree/main. 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 Project Cairn?

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 Project Cairn?

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

Is the Project Cairn AI skill free?

Yes. It is published on GitHub by iBlinkQ 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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