Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Agent workflows
Configure the Overextended skills. Picks which model and reasoning level each subagent role uses within a budget you choose, then detects your FiveM server, its ox resources and framework. Writes `~/.config/ox/models.md` and `.ox/config.md`, which the other ox skills read.
Design and run a bespoke, auditable workflow for a task no narrower skill fits, such as a large migration, an ambitious multi-part change, or work the user reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions. Use when the user asks you to figure it out, or for a large task no other workflow covers.
Delegate implementation work to external coding-agent CLIs (OpenAI Codex `codex exec`, Google Antigravity/Gemini `agy -p`, or any harness with an adapter) instead of Claude subagents, so heavy coding burns other providers' quota while Claude acts as foreman — planning, briefing, reviewing diffs and verifying. Use when the user invokes /foreman, asks to “use codex/gemini/agy as workers,” “save Claude quota/limits,” or “let another model do the coding while you review.” Workers run in isolated git worktrees via scripts/dispatch.sh.
Keep a reviewable decision trail, a TSV log with one row per decision (what, why, evidence, result), for long-running, unattended or multi-phase work. Use when the user asks for a decision trail or will review the work after stepping away, or when a skill such as figure-it-out calls for it.
Show a plan's status as one readable offline HTML page — what the project is, how far it got, what waits on the user, what changed since approval, and what the system judged for them — built from SPECs, tickets, change proposals, decision logs, and review verdicts. Refresh `.scratch/<feature>/plan.html` when it exists and a stage finished, work got blocked, or an acceptance result arrived. Use when HTML is requested or plan relationships need a visual overview; plain plan wording alone is not a trigger
Use when the user asks for a retrospective on an agent session ("/retro", "how did this session go", "what could this session do better"), for the current session or a given session ID or transcript path. Reports time per phase, tool-call errors, repeated slow test runs, and skill inefficiencies. Works for Claude Code and pi.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
