Everyday skills: courtroom (adversarial rulings on a proposed action), warm-context (researched domain packs for planning), stations (per-context workstation setup), be-frank (frank comparisons of an idea against existing alternatives), job-scout (ad-hoc engineering job searches) and uncomplicate (rewrites hard-to-follow documents as clear, standalone HTML).
Per-repo, per-developer usage tracking for Claude Code and other AI coding agents (Codex, OpenCode, Gemini CLI, Qwen Code, Copilot CLI, Kimi Code, Hermes, Cursor) — tokens, models, agents, tasks, prompts and estimated (API-equivalent) cost — committed to git, with a local team dashboard.
Developer jobs and paid bounties, in the terminal. Surfaces contextually-relevant roles in the Claude Code spinner while you work, and lets you claim a scoped bounty and get paid when the poster accepts it. Run `terminalhire init` after install.
All ten Email Love ESP templating skills in one install: Braze Liquid, Customer.io Liquid, HubSpot HubL, Iterable Handlebars, Klaviyo Django, Marketo Velocity, MoEngage Jinja, Sailthru Zephyr, SFMC AMPscript, and Zeta ZML. Write, review, and debug personalization code in any email HTML, whatever built or exported it. Sourced at a pinned commit from email-love/esp-skills, the canonical home; install skills individually from that marketplace instead if you only want one platform.
Ten evidence-aware discovery motions with a human decision at every gate. Each skill labels what is actual data, inferred, estimated or unknown, and stops before anything gets built.
One local memory shared across agents: session-start recall, opt-in end-of-session extraction into a review inbox, semantic search, and a 20-tool MCP server.
10 Claude Code skills: D2 diagrams, Typst documents with a parallel review, mind maps, web image search, Wayback page recovery, SEC EDGAR filings, and a verify-before-done check
Institutional-knowledge layer for the AI-skill ecosystem. Documents every agent platform, packager, installer, and failure mode — and uses the AI inside your agent to navigate them.
Improve your agent harness and your setup. The brain, /orangu:improve, finds patterns in your local Claude Code, Cowork and Desktop sessions and proposes changes. It applies only the changes that you approve by id, and orangu checks each one on your later sessions. The measurement uses no model, needs no account and uploads nothing.