nicobailon

OpenAI Codex CLI reference. Use when running codex in interactive_shell overlay or when user asks about codex CLI options.

Cursor CLI reference. Use when running Cursor in interactive_shell overlay or when user asks about Cursor CLI options.

Cheat sheet + workflow for launching interactive coding-agent CLIs (Claude Code, Gemini CLI, Codex CLI, Cursor CLI, and pi itself) via the interactive_shell overlay, headless dispatch, or monitor mode. Use for TUI agents and long-running processes that need supervision, fire-and-forget delegation, or event-driven background monitoring. Regular bash commands should use the bash tool instead.

How to write system prompts and instructions for GPT-5.3-Codex. Use when constructing or tuning prompts targeting Codex 5.3.

How to write system prompts and instructions for GPT-5.4. Use when constructing or tuning prompts targeting GPT-5.4.

Control Chrome browser via CLI for testing, automation, and debugging. Use when the user needs browser automation, screenshots, form filling, page inspection, network/CPU emulation, DevTools streaming, or AI queries via ChatGPT/Gemini/Perplexity/Grok/AI Studio.

Navigate and modify surf-cli codebase - Chrome extension + native host for AI browser automation. Use for surf-cli code work, architecture questions, implementing browser control/CDP/accessibility/network features.

Access Context Portal (ConPort) as persistent project memory via MCPorter. Load/update project context, log decisions and progress, track patterns. Use PROACTIVELY at session start to load context and throughout work to log decisions. Combats AI amnesia across sessions.

Use when you need to access MCP servers without installing them directly in Claude Code. MCPorter provides CLI access to any MCP server via npx, enabling tool discovery, direct calls, and ad-hoc connections. Use for accessing external MCP capabilities like browser automation, API integrations, or any MCP-based tooling.

Generate beautiful, self-contained HTML pages that visually explain systems, code changes, plans, and data. Use when the user asks for a diagram, architecture overview, diff review, plan review, project recap, comparison table, or any visual explanation of technical concepts. Also use proactively when you are about to render a complex ASCII table (4+ rows or 3+ columns) — present it as a styled HTML page instead.

Delegate work to builtin or custom subagents with single-agent, chain, parallel, async, forked-context, and intercom-coordinated workflows. Use for advisory review, implementation handoffs, and multi-step tasks where a single agent should stay in control while other agents contribute context, planning, or execution.

Orchestrator reference for pi-messenger Crew planning, task management, configuration, and agent coordination. Crew workers already have the pi_messenger actions they need in crew-worker.md.

Research open-source libraries with evidence-backed answers and GitHub permalinks. Use when the user asks about library internals, needs implementation details with source code references, wants to understand why something was changed, or needs authoritative answers backed by actual code. Excels at navigating large open-source repos and providing citations to exact lines of code.

Present visual options for architecture, UI, and code decisions with high-fidelity side-by-side previews. For comparing approaches visually — code diffs, diagrams, UI mockups, images — not for gathering structured input (use interview for that). Supports previewBlocks (code, mermaid, image, html), previewHtml, generate-more loops, and plan/PRD-driven flows.

Write and run custom Pi prompt templates (slash commands) for this extension. Use when creating templates with model selection, deterministic pre-steps, loops, chains, subagents, or best-of-N compare flows.

Streamline session-to-session coordination with pi-intercom. Send messages, delegate tasks, and coordinate work across multiple pi sessions on the same machine. Use for planner-worker workflows, cross-session context sharing, and real-time collaboration between sessions.

Multi-agent coordination for parallel plan execution with the coordinate and coord_output tools.

Orchestrate multi-agent workflows where users watch each step in the overlay. Uses different CLI agents (cursor, pi, codex) for specialized roles with file-based handoff and auto-continue support for agents that pause mid-task.