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Narration and text-to-speech on the user's machine through Guaardvark's Audio Foundry (Chatterbox, Kokoro, Piper) and consent-gated voice cloning from a reference clip. Use when the user wants a voiceover, narration of a script, a spoken line, or "make it sound like this voice".

Generate video clips on the user's own GPU through Guaardvark: text-to-video, image-to-video, first+last frame animation, clips with their own soundtrack and dialogue (MiniMax H3), short looping animations, and batch runs. Use when the user asks to make, render, animate, or batch-generate video locally.

Upscale images and video 2x to 4K/8K on the user's GPU through Guaardvark (Real-ESRGAN, HAT-L, SwinIR, two-pass). Use when the user asks to enlarge, sharpen, restore, or upscale a picture, a batch of pictures, or a video.

Draft and review social outreach with Guaardvark's supervised outreach system (Reddit, Discord, Twitter/X, Facebook): grounded, graded drafts that never post without the user's approval in the Studio. Use when the user wants a reply drafted for a thread, wants to see the pending outreach queue, or asks about outreach status or cadence.

Operate a running Guaardvark: GPU and VRAM state, plugin start/stop, logs, Celery tasks, the Interconnector sync to other machines, overnight RAG autoresearch, and infographics. Use when the user asks what is using the GPU, why a job is stuck, to start or stop ComfyUI/Audio Foundry/Swarm, to sync another box, to run autoresearch, or to make an infographic.

Turn a song into a beat-synced music video with Guaardvark's Director: song analysis, per-cut shot prompts, storyboard keyframes, image-to-video renders, cuts on the beat. Use when the user says "music video", "video for this track", or wants visuals timed to a song. Has an approval gate before GPU spend.

Generate full songs with vocals or instrumentals (ACE-Step) and sound effects or ambience (Stable Audio Open) on the user's GPU through Guaardvark's Audio Foundry. Use when the user asks for a song, a beat, a jingle, background music, or a sound effect, made locally with no subscription.

Answer from the user's own indexed documents with Guaardvark's local RAG, browse and read indexed files section by section, remember facts across sessions, and process or fetch new material. Use when the user asks what their documents say, wants a source-cited answer from their files, says "remember this", or asks to index a PDF, DOCX, spreadsheet, image or URL.

Generate or edit images on the user's own GPU through Guaardvark: single images, instruction edits, background cut-outs, inpaint and outpaint, consistent characters from the Cast Library, and batch runs of many prompts. Use when the user asks to create, draw, render, visualize, edit, or batch-generate images locally.

Run Guaardvark's five-role Film Crew locally: screenwriter, casting (Cast Library LoRAs), cinematographer storyboards, keyframe renders, editor. Turns a logline or screenplay into a finished short video with human gates at casting and storyboard. Use when the user says "film this", "make a short film", "storyboard this script", or "start the film crew".

Build consistent characters, environments and props in Guaardvark's Cast Library and train LoRAs for them locally (reference photos → vision bible → sample plan → approved samples → training). Use when the user wants the same face or object across images, videos, a music video, or a Film Crew production, or asks to "train a LoRA".

Build, improve, and review production interfaces with the Better Design MCP. Use for frontend design, UI, UX, interactions, flows, forms, navigation, components, styling, design systems, accessibility, responsive layouts, motion, React Native, Expo, Shopify, Three.js, and product video work, especially when creating, redesigning, polishing, or reviewing an interface.

Design, audit, or repair mathematical benchmark verifiers, submission contracts, and scoring.

Review mathematical agent trajectories for evidence-backed Jacobian improvements; do not resume solving.

Use Jacobian’s typed operations when exact computation or structural analysis can help solve a mathematical problem.

Author, package, validate, or run mathematical evaluations as Jacobian Harbor datasets.

Investigate MCP tool availability, discovery, and selection, including controlled adoption evaluations.

Extract reusable Jacobian capabilities from a mathematical solution corpus, rather than one agent trajectory.

Design or audit a Jacobian operation’s mathematical contract, boundedness, exact results, and composition.

Diagnose malformed calls, retries, and unusable results after an agent selects an MCP tool.

Audit a bounded mathematical slice for missing or unusable Jacobian capabilities, beyond a single-operation review.

Alias for the arkana-learn skill. Interactive reverse engineering tutor. Triggers on: tutor, mentor, coach, training, course, study.

Interactive reverse engineering tutor using Arkana. Teaches binary analysis concepts from beginner to expert, adapting to the learner's level. Guides users through hands-on analysis or structured lessons using Arkana's 308 tools as the teaching platform. Triggers on: teach, learn, tutorial, lesson, explain, guide, how does, what is, reverse engineering tutorial, RE tutorial, binary analysis tutorial, teach me, show me how, walk me through, help me understand, beginner, introduction to, basics of, what are imports, how do I, learning mode.

Binary analysis skill for Arkana. Handles malware triage, reverse engineering, PE/ELF/Mach-O analysis, shellcode emulation, firmware inspection, vulnerability auditing, C2 config extraction, unpacking, deobfuscation, and threat intelligence. Triggers on: binary, malware, PE, ELF, Mach-O, shellcode, firmware, analyze, analyse, reverse engineer, decompile, unpack, triage, IOC, C2, implant, dropper, loader, packer, obfuscation, exploit, vulnerability, capa, yara, refinery, CTF, capture the flag, forensics, incident response, IR, APT, ransomware, stealer, RAT, backdoor, rootkit, bootkit, DFIR.

British English alias for the arkana-analyze skill. Binary analysis skill for Arkana. Triggers on: analyse, analyze, binary, malware, reverse engineer.

X++ code development lifecycle for Finance and Operations — scaffold models, author classes, custom services/APIs, and data entities, install matching SDKs, compile deployable packages, deploy packages, synchronize databases, and verify deployed artifacts. Use when the user explicitly requests creating, building, compiling, packaging, deploying, DB-syncing, or verifying X++ customizations, or an end-to-end ERP code change.

Dataverse solution lifecycle — create, export, import, promote across environments, and validate deployments. Use when the user wants to package customizations, deploy to another environment, or move work between dev / test / prod.

Bulk reads, multi-page iteration, and analytics over Dataverse data. Use when the user wants to read, list, filter, aggregate, group, join, or analyze records — including pandas DataFrame workflows and notebook exploration. Also covers ERP (Finance and Operations / F&O) business-data reads and runtime entity, schema, or action discovery; load dv-overview first, then this skill.

Foundational cross-cutting context for Dataverse / Power Platform work — scope and the skill map, the tool-capability reference, the safety rules, and the safe change lifecycle. Use when the user mentions Dataverse, Dynamics 365, Power Platform, CRM, or ERP; load this first for orientation. Specialist skills self-route via their own frontmatter triggers. Finance and Operations / F&O business-data requests also require this skill first, then dv-query for reads.

Dataverse schema authoring and inspection — tables, columns, relationships, forms, and views. Use when the user wants to define, evolve, or inspect the data model — add a column, create a table, set up a lookup, customize a form, build a view, or list existing columns and relationships.

Record-level CRUD and bulk operations — create, update, delete, upsert, CSV import, multi-table foreign-key loads, AI-generated sample data. Use when the user wants to write, modify, seed, or import data records into Dataverse tables, or plan or perform Finance and Operations (ERP) record writes and DMF package imports.

Guide for working with Azure DevOps REST APIs and OpenAPI specifications. Use this skill when implementing new Azure DevOps API integrations, exploring API capabilities, understanding request/response formats, or referencing the official OpenAPI specifications from the vsts-rest-api-specs repository.

Retrieve relevant functions, callers, spec sections, and insertion points from OpenLore before reading source files. Use when starting work that needs structural orientation in an existing codebase.

Use when the user explicitly asks to run, set up, update, re-mine, or deepen Emulo from real local AI coding-session history and native emulo:mine is not available. This is the cross-agent skills.sh bootstrap, not the native namespaced plugin.

Curated text animation catalog with exact JSON specs for headings, labels, counters, and text swaps. Use when an agent needs to pick or translate named effects like soft blur in, typewriter, shared axis, line reveal, stagger, crossfade, or kinetic builds into WAAPI, Motion, Framer Motion, GSAP, CSS, Lottie, Rive, or similar stacks.

Evaluate Jacobian reliability using recently resolved conjectures as held-out probes.

Periodic pass that keeps this repo's verification skill (verify-wmux) and its feature map honest: index tidy, one read-only source reader per feature, reconcile, then one mandatory live session driving every feature; at most one PR of proven corrections. Use for /maintain-verification-skill or "audit the verify skill".

Generate a project-local verification skill that drives the real app the way a user does (launch, doctor, drive, evidence, cleanup) plus a feature map. Use for /create-verification-skill, "make a control skill for this repo", "make a driver skill", or when a repo (or a new wmux surface) has no scripted way to prove UI/CLI/service behavior. In this repo the generated skill is verify-wmux.

Prepare code for review by running quality checks, creating conventional commits, and opening pull requests. Use when the user wants to commit changes, create a PR, prepare for code review, or asks to commit their work.

Guide for adding new MCP tools with consistent patterns for schemas, tool definitions, registry updates, and Better Auth integration

Use when the user wants to rename, extract, split, move, or restructure code safely. Examples: "Rename this function", "Extract this into a module", "Refactor this class", "Move this to a separate file"

Use when the user wants to know what will break if they change something, or needs safety analysis before editing code. Examples: "Is it safe to change X?", "What depends on this?", "What will break?"

Use when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: "What GitNexus tools are available?", "How do I use GitNexus?"

Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: "How does X work?", "What calls this function?", "Show me the auth flow"

Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: "Why is X failing?", "Where does this error come from?", "Trace this bug"

Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"

Move issues and external PRs through a state machine of triage roles — categorise, verify, grill if needed, and write agent-ready briefs.

Teach the user a new skill or concept, within this workspace.

Configure this repo for the engineering skills — set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.

Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

Compact the current conversation into a handoff document for another agent to pick up.

Interview the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases.

A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.

A relentless interview to sharpen a plan or design.

Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

AI-powered E2E testing for any app — Flutter, React Native, iOS, Android, Electron, Tauri, KMP, .NET MAUI. Connects via MCP to running apps so the agent can take screenshots, tap elements, enter text, scroll, inspect UI trees, and verify state with natural language. Use when the user wants to test an app's UI end-to-end, automate cross-platform testing, run smoke tests, validate form flows, or verify navigation without writing test code.

Review tfmcp Rust module boundaries, shared knowledge, and change impact using coupling reports and source evidence.

Prepare, verify, publish, or troubleshoot a tfmcp release to crates.io and GitHub. Use for version changes, release readiness checks, changelog preparation, tagging, or publication.