pi-setup

Use when spawning Codex subagents or Codex threads and choosing among GPT 5.6 Luna, Terra, and Sol with the appropriate effort. Use this with orchestrating-subagents whenever delegation involves model overrides, reasoning effort, Explore agents, checker/fixer loops, or fan-out work.

Use when deploying a FastAPI or Python ASGI/WSGI app to Vercel, choosing uv vs requirements.txt, pinning Python version, or when a Vercel URL returns "Redirecting..." / 302 to SSO. Covers the auto-detect Python runtime and serverless limits.

Context Engineering for AI Agents — 81 MCP tools, 10 read modes, 95+ shell patterns, tree-sitter AST for 26 languages. Compresses LLM context by up to 99%. Use when reading files, running shell commands, searching code, or exploring directories. Auto-installs if not present.

Use preemptively at the start of any session whose work decomposes into delegable units and whose main-thread context is worth protecting. A report, a large feature, a migration are examples, not the full set; the trigger is the shape (many token-heavy steps, compact results), not the task type. Also use whenever the user asks to delegate work to subagents. Invoke before context fills, not after.

Run a deep, didactic, citation-backed PR review and emit a single self-contained HTML report. Use when the user invokes `/review-html <PR>` or asks for an HTML review of a GitHub PR.

Use when defining the CONTENT of a slide deck or presentation for handoff to a separate rendering step (e.g. Claude Design) — turning meeting notes, a topic, or raw material into a per-slide content spec with diagram specs. Triggers include "build a deck/slides", "prep a talk", "spec the slides", "didactic technical presentation", or planning what each slide says before any visuals exist.