Craft professional README.md files for GitHub open source projects. Generates hero sections, installation instructions, feature tables, and architecture diagrams. Use when creating or revising a README, documenting a CLI tool, library, or open source project, or when user asks about README structure, badges, or project documentation.

Operationalize expert methods into corpus, quote bank, triangulated kernel, operator library, and validators. Use when distilling a methodology or mining session history into executable rules.

Cross-validate decisions using multiple AI models (Codex, Gemini, Grok). Use when "get a second opinion", evaluating approaches, or high-stakes decisions.

Generate and operationalize improvement ideas for projects. Use when brainstorming features, planning improvements, creating beads from ideas, or "what should we build next".

Systematic UX evaluation using Nielsen heuristics and accessibility checks. Use when reviewing UI, "is this usable", improving user experience, or pre-launch.

Systematically explore unfamiliar codebases to build working mental models. Use when onboarding to new project, "what does this do", or understanding legacy code.

CASS Memory System (cm) for procedural memory. Use when starting non-trivial tasks, learning from past sessions, building playbooks, or preventing repeated mistakes via trauma guard.

Mine past agent sessions for working prompts, decisions, and patterns. Use when "what did I ask?", "find that prompt", session archaeology, or agent history.

Fungible agent architecture for multi-agent coding. Use when scaling agent swarms, designing multi-agent workflows, recovering from agent failures, or choosing specialized vs. interchangeable agent patterns.

Systematic audit-fix-rescan cycle for comprehensive bug elimination. Use when code review, deep audit, "find all bugs", or pre-release hardening.

Design agent-friendly MCP servers with optimal UX. Use when building MCP tools, designing agent APIs, writing tool documentation, implementing error handling, or creating multi-agent coordination systems.

MCP Agent Mail for multi-agent coordination. Use when agents need file locks, messaging, inboxes, or conflict prevention. Handles macro_start_session, file_reservation_paths, send_message, threading, pre-commit guards.

Search X (Twitter) archives for insights, conversations, and knowledge. Use when mining tweets, DMs, Grok chats, likes, or extracting information from X data exports.

Named Tmux Manager - Multi-agent orchestration for Claude Code, Codex, Gemini. Use when spawning agent swarms, managing tmux sessions, distributing work, or coordinating parallel AI agents.

Iterative UI/UX polishing for Stripe-level visual quality. Use when app already works and looks decent, wanting to elevate to world-class through multiple passes. Not for complete overhauls.

Run Ultimate Bug Scanner (UBS) for code review. Use when reviewing code, checking for bugs, scanning for security issues, validating AI-generated code, or pre-commit quality checks.

Build ripgrep (rg) from source with PCRE2 and max optimizations. Use when "PCRE2 is not available", rg -P fails, need lookahead/lookbehind, or building optimized rg from master.

Handle blocked destructive commands. Use when dcg blocks rm -rf, git reset --hard, DROP DATABASE, kubectl delete, or when configuring agent safety guardrails.

Mine patterns that recur across multiple projects and generalize into reusable artifacts. Use when "I've seen this before", DRY across repos, or building shared libraries.

Brenner Bot CLI for research sessions. Use when in your brenner_bot repo, managing hypotheses, searching corpus, or running multi-agent sessions.