🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
Wiki-link doc compiler for Claude Code and Codex
Scraps reads wiki links, tags, embeds, headings, and path context from markdown, then compiles the same source into a static HTML site and JSON output. That lets you use one documentation base for readers, scripts, and agents.

Builders who want one markdown source to work as both a readable site and an agent-queryable knowledge base.
You can keep documentation in wiki markdown and have agents search, validate, and build it without reformatting the source.
What it does
Wiki-link compilation
Parses `[[wiki-link]]`, `#[[tag]]`, `![[embed]]`, `[[Page#heading]]`, and `ctx_path` as typed primitives.
Static site output
Builds the source into a static HTML site for human readers.
JSON query output
Exports JSON so shell scripts and agents can search and inspect the same content.
Agent skills
Provides `llm-wiki` skills for Ingest, Query, and Lint flows in Claude Code and Codex.
MCP server
Includes an MCP server for MCP-compatible clients, with shared serving via `scraps mcp serve --http`.
README
Scraps
The Wiki-link doc compiler for the LLM era.
Scraps treats documentation like a programming language. Wiki-linked markdown becomes a typed source, compiling into a static site for readers and into JSON any agent can shell into — turning Karpathy's LLM Wiki pattern into a typed, queryable artifact. CLI primary with companion AI skills, fitting any editor and any LLM agent.
Quick start
# Install
brew install boykush/tap/scraps # or: cargo install scraps
# Compile a wiki
mkdir my-wiki && cd my-wiki
scraps init
scraps build
# Query the same source from a shell or AI agent
scraps search "release checklist" --json
scraps links "Configuration" --json
scraps lint
See the Getting Started tutorial for the full flow.
How it works
graph LR
Source[Markdown sources] --> IR[Scraps IR — typed graph]
IR --> HTML[Static HTML]
IR --> JSON[CLI JSON]
Scraps reads [[wiki-link]], #[[tag]], ![[embed]], [[Page#heading]], and ctx_path as typed primitives. The same source compiles to an HTML site for human readers and to JSON for scripts and AI agents.
AI integration
CLI + JSON is the primary path — any shell-capable agent can query Scraps without an MCP client implementation. Bundled plugins provide agent-facing workflows:
llm-wiki— Karpathy-style Ingest / Query / Lint skills for Claude Code and Codex, plus Claude Code agents for purpose-driven lint and the default Scraps LLM Wiki schemamcp-server— MCP server for MCP-compatible clients, shared across repositories viascraps mcp serve --http
See the AI integration guide for the trade-offs.
Documentation
- Documentation site — Tutorial, How-to, Reference, Explanation
- Sample wiki — Japanese knowledge base built with Scraps
Screenshots
Search, pagination, and Wiki-link navigation, themed with Nord.
Light mode
Contributing
Bugs, feature requests, and PRs are welcome. See CONTRIBUTING.md, the issue templates, and the Code of Conduct.
License
MIT
Files in the repo
- .agents
- .claude
- .claude-plugin
- .codex
- .github
- .mise-tasks
- assets
- design
- docs
- livt
- modules
- plugins
- src
- tests
- tokens
- .gitignore
- action.yml
- Cargo.lock
- Cargo.toml
- CLAUDE.md
- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- deny.toml
- hk.pkl
- LICENSE.md
- mise.toml
- README.md
Discussion (0)
Ask about usage, or say what you built with itSign in to join the discussion.
No comments yet. Be the first to say what this is good for.
More tools
The best-benchmarked open-source AI memory system. And it's free.
Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.

A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Grok Build & Hermes Agent. Only official website: ccswitch.io
Never stop coding. Free MIT AI gateway: one endpoint, 352 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 550+ contributors
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.