Audit all environment variable usage in the codebase and generate a complete, documented .env.example. Use when the user says "what env vars do I need?", "document the config", "set up .env.example", or when onboarding someone new to the project.
Find and remove stale feature flags that are permanently enabled, permanently disabled, or abandoned. Use when the user says "clean up feature flags", "remove the old flags", or after a feature has been fully rolled out for more than a sprint.
Generate a structured mental model of an unfamiliar codebase — entry points, data flow, key abstractions, and gotchas. Use when starting on a new repo, when the user says "explain this codebase", "how does this work", "onboard me", or before making large changes to unfamiliar code.
ClawMax adapter for Senso ingestion. Use this when agents need to ingest files, screenshots, notes, or raw text into Senso using consistent ClawMax naming, foldering, verification, and handoff patterns for hackathon templates.
Use when working in the Rabbit Hole repository to start Docker services, run the backend and frontend, verify Aerospike and Airbyte wiring, and recover the demo stack quickly before a live demo.
Add voice AI to an app — inbound/outbound phone calls, voice agents, or speech-to-text/text-to-speech pipelines. Supports Bland AI, ElevenLabs, Deepgram, and Web Speech API. Use when the user says "add voice", "make it speak", "phone call feature", or "voice agent".
Autonomous agent that turns customer signals (emails, calls) into engineering actions across Jira, Notion, and Slack — zero human intervention.
Builds an autonomous iterative research loop that narrows a wide uncertainty/exposure range toward a user-defined target by issuing Google searches, extracting evidence from results, re-estimating the range from accumulated evidence, and repeating until converged. Use when the user wants to implement autonomous research that progressively reduces uncertainty toward a quantified goal — risk analysis, market sizing, due diligence, literature review, or any domain where a wide estimate must be narrowed with real evidence.
Generate a tight, compelling hackathon pitch and live demo script from the current codebase. Use when the user says "help me pitch this", "write my demo script", "what's my elevator pitch", or it's crunch time before a presentation.
Autonomous incident response and self-healing codebase agent. Use when building SRE automation, incident pipelines, error detection, auto-remediation, or production monitoring systems. Covers the full lifecycle from error ingestion to diagnosis, fix generation, approval gating, phone escalation, and deployment.
Guides agents through autonomous ManiSkill and VSLAM evaluation, tuning, verification, memory storage, and summary writing using the Autolab MCP server and repo tooling.
ClawMax adapter for Senso retrieval. Use this when agents need cited answers, verified chunks, or content discovery from Senso with output formatted for ClawMax triage, routing, and workflow handoffs.
AI-powered bedroom stylist that analyzes room photos, generates designer makeover plans with real shoppable products from Amazon, Target & IKEA — all within a user-specified budget.
Iteratively optimize thermal designs by solving 2D heat equations (Poisson PDE). Parameterize heat source placement and material conductivity, simulate temperature distributions, evaluate performance metrics, and propose improvements autonomously. Use when the user asks to design, optimize, or analyze heat sinks, thermal layouts, cooling systems, or any steady-state thermal problem on a 2D domain.
Build or improve multimodal meeting copilots that watch the screen, listen to audio, use Railtracks for agent workflows, and use Assistant UI for live chat.
Generate a structured implementation plan before writing any code. Produces a spec with requirements, data model, API surface, edge cases, and open questions. Use when starting a non-trivial feature, when the user says "plan this out", or before any implementation that touches more than 2 files.
Texas Hold'em poker intelligence — hand evaluation, pot odds, position strategy, and live player profiling for AI agents
Do a quick UI polish pass on a component or page to make it look more professional. Use when the user says "make this look better", "polish the UI", "it looks ugly", or right before a demo.
Explain a piece of code, concept, or system in plain English with zero assumed knowledge. Use when the user is confused, new to a codebase, or says "I have no idea what this does", "explain this to me", or "ELI5".
Control Adobe Premiere Pro through natural language via MCP server. Use when editing video timelines, applying color grading, mixing audio, adding effects/transitions, managing graphics, or exporting projects. Supports 907 tools across all Premiere Pro capabilities.