MaTriXy

Orchestrate complex, multi-step AI workflows with quality convergence loops, event-sourced state, and human-in-the-loop approval gates. Use when the user wants to babysit a task, orchestrate a workflow, run quality-gated development, resume a previous orchestration run, diagnose run health, plan without executing, set up a project or user profile for babysitter, or assimilate an external methodology. Also use when the user mentions "babysitter", "orchestrate", "babysit", "quality loop", or "convergence loop".

Help and documentation for babysitter commands, processes, skills, agents, and methodologies.

Plan a babysitter workflow without executing it. Focus on creating the best process possible.

Install or refresh a team-pinned babysitter runtime/content setup from lockfile.

Start a babysitter orchestration run. Use this command to start babysitting a complex workflow.

Analyze a completed or in-flight run and propose process improvements for future runs.

Drive feature development using Outside-In TDD with Hexagonal Architecture. Design emerges through inline code, in-memory fakes, interface extraction, and deferred I/O. Use when building features, writing tests, or structuring backend services. Triggers on: TDD, outside-in, hexagonal, ports and adapters, emergent design, acceptance test, component test, walking skeleton, in-memory fakes, component, contract test, adapter, fast tests, sub-second feedback. Language-agnostic (Go, Rust, Python, TypeScript, Java, C#).

Formal verification using Certora Prover with CVL specification language. Supports invariant rules, parametric verification, ghost variables, and counterexample analysis for mathematical proof of contract correctness.

ElevenLabs multi-speaker dialogue generation - create conversations with different voices in a single audio file via inference.sh CLI. Capabilities: multi-voice dialogue, script-based generation, voice direction, conversation audio. Use for: podcasts, audiobooks, explainers, tutorials, character dialogue, video scripts. Triggers: elevenlabs dialogue, eleven labs dialogue, multi speaker, conversation audio, dialogue generation, text to dialogue, multi voice, voice acting, podcast dialogue, character voices, script to audio, elevenlabs conversation, two speakers

ElevenLabs automatic dubbing - translate and dub audio/video into 29 languages while preserving speaker voice via inference.sh CLI. Capabilities: auto speaker detection, voice-preserving translation, video dubbing, audio localization. Use for: content localization, video translation, multilingual content, international distribution. Triggers: dubbing, dub video, translate audio, video translation, audio translation, localize content, elevenlabs dubbing, eleven labs dub, multilingual dub, voice translation, auto dub, language dub, content localization

ElevenLabs AI music generation - create original music from text prompts via inference.sh CLI. Capabilities: text-to-music, custom duration up to 10 minutes, genre/mood/instrument control, royalty-free commercial use. Use for: background music, soundtracks, jingles, podcasts, video scores, game audio. Triggers: elevenlabs music, eleven labs music, ai music, generate music, music generation, compose music, ai composer, create song, soundtrack, background music, jingle, elevenlabs compose, music ai

Generate AI sound effects from text descriptions with ElevenLabs via inference.sh CLI. Capabilities: text-to-sound-effect, custom duration, royalty-free audio. Use for: video production, game audio, podcasts, films, presentations, social media. Triggers: sound effects, sfx, sound generation, ai sound effects, generate sound, foley, audio effects, sound design, text to sound, elevenlabs sound, eleven labs sfx, ambient sound, cinematic sound, game sound effects

ElevenLabs speech-to-text with Scribe models and forced alignment via inference.sh CLI. Models: Scribe v1/v2 (98%+ accuracy, 90+ languages). Capabilities: transcription, speaker diarization, audio event tagging, word-level timestamps, forced alignment, subtitle generation. Use for: meeting transcription, subtitles, podcast transcripts, lip-sync timing, karaoke. Triggers: elevenlabs stt, elevenlabs transcription, scribe, elevenlabs speech to text, forced alignment, word alignment, subtitle timing, diarization, speaker identification, audio event detection, eleven labs transcribe

ElevenLabs text-to-speech with 22+ premium voices, multilingual support, and voice tuning via inference.sh CLI. Models: eleven_multilingual_v2 (highest quality), eleven_turbo_v2_5 (low latency), eleven_flash_v2_5 (ultra-fast). Capabilities: text-to-speech, voice selection, stability/style control, 32 languages. Use for: voiceovers, audiobooks, video narration, podcasts, accessibility, IVR. Triggers: elevenlabs, eleven labs, elevenlabs tts, premium tts, professional voice, ai voice, high quality tts, multilingual tts, eleven labs voice, voice generation, natural speech, realistic voice, voice over, speech synthesis

ElevenLabs voice changer - transform any voice to a different voice while preserving speech content and emotion via inference.sh CLI. Models: eleven_multilingual_sts_v2 (70+ languages), eleven_english_sts_v2. Capabilities: speech-to-speech, voice transformation, accent change, voice disguise. Use for: content creation, voice acting, privacy, dubbing, character voices. Triggers: voice changer, speech to speech, voice transformation, change voice, voice swap, voice conversion, voice disguise, eleven labs voice changer, elevenlabs sts, transform voice, ai voice changer, voice modifier

ElevenLabs voice isolator - remove background noise and isolate vocals from audio via inference.sh CLI. Capabilities: noise removal, voice extraction, audio cleanup, background removal. Use for: podcast cleanup, interview audio, music vocals, noisy recordings, audio restoration. Triggers: voice isolator, noise removal, background removal, isolate voice, clean audio, remove background noise, audio cleanup, voice extraction, elevenlabs isolator, eleven labs noise, vocal isolation, denoise, audio restoration, voice separation

Automatic workflow pattern detection and proactive community skill discovery. Observes your sessions, detects repeated patterns, and suggests relevant skills from 27,000+ community sources.

Documentation for the Auto-Skill plugin - automatic workflow pattern detection, skill generation, and dynamic loading

Search for and offer to load auto-generated skills that match the user's current task. Use when the user's request might benefit from a previously learned workflow pattern - especially multi-step tasks like "search and fix", "find and update", "read and edit".

Pre-submission compliance checkup for Google Play and Apple App Store. Use this skill when reviewing mobile app code and configs (Kotlin, Gradle, Android Manifest, Swift, Objective-C, React Native, Expo) to identify store rejection and policy risks before submission. Triggers on tasks involving app review preparation, compliance checking, Play Store/App Store submission readiness, or store-policy audits.

Pre-submission compliance checkup for Google Play and Apple App Store apps. Use when reviewing mobile projects for store rejection risks, submission readiness, privacy/policy compliance, and release checkups across Android and iOS.

This skill should be used when the user asks to "run a play store and app store checkup", "review mobile app submission readiness", "check Google Play policy compliance", "check Apple App Store compliance", "audit store submission risks", or "prepare a mobile app for store submission".

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection

Headless browser automation CLI optimized for AI agents. Use when automating multi-step browser workflows, web scraping, form filling, or testing SPAs. Uses accessibility tree snapshots with ref-based element selection for deterministic actions. Requires `agent-browser` CLI (npm install -g agent-browser).

Sync Matt Pocock's skills from upstream (github.com/mattpocock/skills), apply pi-specific patches that replace Claude Code sub-agent references, and flag new skills or unpatched patterns. Use when user says "sync skills", "update pocock skills", or "check for skill updates".

Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.

Analyze GitHub repository security alerts and generate remediation plans. Use when the user asks to review security alerts, fix vulnerabilities, check dependabot alerts, review code scanning issues, or address secret scanning findings for a GitHub repository. Triggers on requests mentioning GitHub security, repo security review, vulnerability remediation, or security audit.

Author, verify, and compile a runnable agent loop with Monkey D Loopy. Use when the user wants to build a "loop" / recurring or repeating agent task as a runnable artifact — e.g. "make a loop that polls X until Y", "keep retrying until tests pass", "watch the deploy and fix it", "process each item until done". Turns a natural-language goal into a validated, verified, graded, compiled LoopSpec.

Use for glass UI, transparent UI, HUD/AR interfaces, holographic dashboards, or futuristic sci-fi UI. Trigger for glassmorphism, frosted glass, translucent UI, .ultraThinMaterial, Material3 transparent, or interfaces inspired by Apple Vision Pro, Google Glass, or Meta glasses. Also trigger for make it futuristic or floating UI. Builds glassmorphic, AR-inspired UIs across HTML/CSS/React, SwiftUI, Jetpack Compose, and React Native.

Use Codex (OpenAI's codex app-server) as a full agent provider — planning, tool orchestration, MCP tools, server-side history, session resume — alongside or instead of Claude. ChatGPT subscription or OpenAI API key, vault-only via OneCLI. Per-group via `ncl groups config update --provider codex`. Distinct from using OpenAI as an MCP tool (where Claude remains the planner).

Migrate from Heroku to Render by reading local project files and generating equivalent Render services. Triggers: any mention of migrating from Heroku, moving off Heroku, Heroku to Render migration, or switching from Heroku. Reads Procfile, dependency files, and app config from the local repo. Optionally uses Heroku MCP to enrich with live config vars, add-on details, and dyno sizes. Uses Render MCP or Blueprint YAML to create services.

Drive a native macOS app via the cua-driver CLI (default) or MCP server — snapshot its AX tree, click/type/scroll by element_index, verify via re-snapshot. Use when the user asks you to operate, drive, automate, or perform a GUI task in a real macOS application on the host (e.g. "open a file in TextEdit", "navigate to /Applications in Finder", "click the Save button in Numbers").