Production-ready prompt library for Claude coding agents. APEI methodology, ~35 specialist prompts, current Claude Code coverage, plus a /find-prompt skill that routes any task to the right prompt.

A Claude Code plugin that gives Claude persistent memory across sessions — stores lessons and decisions as markdown in your Obsidian vault, searches them with SQLite FTS5, and mines past transcripts automatically.

Selfhosted notes app. Single golang binary, notes stored as markdown within SQLite, full-text search, very low resource usage

Self-hosted project management • Customizable boards • Cross-project workload and flow analytics • Calendar/Agenda • Sticky-note wall • Imports/Backups • Email notifications • MCP/Agent automation

Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.

Enables triaging incoming messages by classifying them into a small bounded set of action categories with a fast model, then routing each one to dismiss noise, send notifications for action items, or optionally auto-register calendar events. Users bring their own source, notifier, and calendar through small adapter interfaces, with verdicts and state kept in local SQLite storage.

Rigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for rep

Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with audi

Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or run

Enables Claude, Cursor, ChatGPT, and other MCP clients to search, add to, and browse a local personal knowledge base built from notes, docs, and PDFs, with cited results and no data leaving the machine.

This skill provides comprehensive instructions for interacting with the Notion API via REST calls. This skill should be used whenever the user asks to interact with Notion, including reading, creating, updating, or deleting pages, databases, blocks, comments, or any other Notion content. The skill c

Read-only MCP tools for querying USDA FAS Global Agricultural Trade System census export and import records by partner country, year, month and HS10 code prefix, plus the release-date lists for each flow. Results are capped with notes on omitted rows, and responses carry release vintages and retrieval metadata.

Enables AI agents to list and compare LLM API prices per million tokens, rank the cheapest models by context and keyword, look up GPU rental rates per hour by provider, and estimate self-hosting cost per million tokens against API pricing. Pricing data comes from OpenRouter's public models endpoint plus a dated GPU price CSV, with source URLs and explicit notes when data is missing.

Enables querying FAOSTAT statistics through read-only tools whose results are row- and size-capped, with a note on how to see the remainder. Every response carries release metadata such as source, endpoint, retrieved_at, published_at, and vintage.