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Claude Skills by hybridlabor-api

github.com/hybridlabor-api
199 skillsA× 185B× 10C× 3D× 10 installs146 views
Launch RhinoA

Start a single Rhino MCP session. Accepts a version argument (e.g. `8`, `WIP`) and an optional explicit port. Walks forward from `10500` to pick a free port if none was given. On macOS this opens a new document in the running Rhino; on Windows it launches a new Rhino process. Use when the user asks to start a Rhino MCP session — for N parallel Rhinos use `/launch-rhinos` instead.

ai-agents
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6
Launch RhinosA

Spin up N Rhino MCP sessions in parallel and fan out one agent per Rhino. Use when the user wants multiple Rhinos running simultaneously with each agent driving its own — e.g. "spawn 3 agents and have each launch Rhino", "run 5 Rhino tasks in parallel". For a single Rhino, use `/launch-rhino` instead.

ai-agents
0
6
DocsA

This document gives AI assistants the context needed to use the DaVinci Resolve MCP server effectively. It covers the tool landscape, page prerequisites, common workflow patterns, error recovery, and known gotchas. ---

ai-agentspythonrust
0
6
Mcpb BundleA

How to migrate the tdmcp Codex Desktop bundle from legacy .dxt to .mcpb (MCP Bundle) and keep it building — covers the manifest schema (verify against the installed packer, never hardcode), the build-dxt.mjs packer/zip-fallback flow, the npm scripts, and the full .dxt→.mcpb reference sweep across docs and scripts. Use when packaging or migrating the tdmcp desktop bundle.

ai-agentsnodegit
0
6
Td Feature QaA

Quality-assure integrated tdmcp features: run the four PR gates + recipe/bridge tests, cross-boundary coherence checks (tool schema↔CLI↔docs↔registry, operator↔createable, bridge↔client), and live TouchDesigner validation (preview + post-cook error check) when the bridge is reachable. Use when validating/QA-ing/testing tdmcp tools, checking a feature actually cooks in TD, verifying CLI matches a tool, or gating a release.

ai-agentspythongo
0
6
Tdmcp PipelineA

Orchestrates the tdmcp feature team end-to-end: design/wireframe → build → integrate → QA → release. Use whenever the user wants to build, implement, develop, ship, or add one or more tdmcp features/tools/effects/controls/AI-prompts for TouchDesigner, or to run them through a coordinated design→develop→QA→deploy pipeline. Also use for follow-ups: re-run, continue, update, fix, or improve a feature/batch, ship the next version, or rebuild just one part of a previous run. Single feature or a wh...

ai-agentsgo
0
6
Tdmcp SubmissionA

Orchestrates the tdmcp Anthropic Connectors Directory (Desktop Extension / MCPB) submission prep — designs the package, writes the privacy page, migrates .dxt→.mcpb, drafts all form answers, and QAs the result. Use for ANY work on the tdmcp directory/marketplace submission, including re-runs after a rejection ("update the submission", "redo the form answers", "re-migrate the bundle", "fix the privacy page", "the directory rejected us"). Drives a 4-agent pipeline (architect → docs-author ∥ bun...

ai-agentsrustgit
0
6
Mcpb BundleA

How to migrate the tdmcp Claude Desktop bundle from legacy .dxt to .mcpb (MCP Bundle) and keep it building — covers the manifest schema (verify against the installed packer, never hardcode), the build-dxt.mjs packer/zip-fallback flow, the npm scripts, and the full .dxt→.mcpb reference sweep across docs and scripts. Use when packaging or migrating the tdmcp desktop bundle.

ai-agentsnodegit
0
6
Td Feature QaA

Quality-assure integrated tdmcp features: run the four PR gates + recipe/bridge tests, cross-boundary coherence checks (tool schema↔CLI↔docs↔registry, operator↔createable, bridge↔client), and live TouchDesigner validation (preview + post-cook error check) when the bridge is reachable. Use when validating/QA-ing/testing tdmcp tools, checking a feature actually cooks in TD, verifying CLI matches a tool, or gating a release.

ai-agentspythongo
0
6
Tdmcp PipelineA

Orchestrates the tdmcp feature team end-to-end: design/wireframe → build → integrate → QA → release. Use whenever the user wants to build, implement, develop, ship, or add one or more tdmcp features/tools/effects/controls/AI-prompts for TouchDesigner, or to run them through a coordinated design→develop→QA→deploy pipeline. Also use for follow-ups: re-run, continue, update, fix, or improve a feature/batch, ship the next version, or rebuild just one part of a previous run. Single feature or a wh...

ai-agentsgo
0
6
Tdmcp SubmissionA

Orchestrates the tdmcp Anthropic Connectors Directory (Desktop Extension / MCPB) submission prep — designs the package, writes the privacy page, migrates .dxt→.mcpb, drafts all form answers, and QAs the result. Use for ANY work on the tdmcp directory/marketplace submission, including re-runs after a rejection ("update the submission", "redo the form answers", "re-migrate the bundle", "fix the privacy page", "the directory rejected us"). Drives a 4-agent pipeline (architect → docs-author ∥ bun...

ai-agentsrustgit
0
6
Integration Test GuardA

Ensure MCP-server / API changes in the touchdesigner-mcp repo ship with integration-test coverage. Use when you modify the MCP server, tool definitions/handlers, the OpenAPI schema, the TD HTTP client, the transport layer, or the TD-side Python API (src/api, src/features/tools, src/server, src/tdClient, src/transport, td/modules/mcp). Also triggered by the integration-test-guard PreToolUse hook, which blocks a `git push` whose outgoing commits touch those paths without a tests/integration cha...

ai-agentspythonrust
0
6
Touchdesigner Self DebugA

A generic workflow for self-starting TouchDesigner via computer-use (or an already-running instance), loading mcp_webserver_base.tox, and verifying any TD-side Python change (td/modules/**) directly from the Textport — reading back real TD runtime values and reconciling them. Use after changing TD-side code in the touchdesigner-mcp repo when E2E verification on a real TD is needed, or when told to "start TD and check," "verify on the actual machine," or "import and run the .tox." Includes the...

ai-agentspythongo
0
6
Desktop Automation ProtocolA

How to use windows-computer-use-mcp effectively — tool selection, focus rules, safety, and mission design.

ai-agentsrustgo
0
6
BdbhtmlmanueldocsA

Use when authoritative design system, standalone HTML template, and automated GitHub Pages live hosting workflow for creating neutral, enterprise-grade developer documentation and user manuals in the official Google Antigravity / BDB OS aesthetic ...

ai-agentsrustgo
0
6
BdbmediastormA

Use when brainstorming or planning live event technology, show control, and real-time media systems (TouchDesigner, Resolume, grandMA3).

ai-agentsgonode
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6
Godmode 3d CreationA

Use when generating 3D meshes, executing text-to-CAD, or reconstructing scenes via TRELLIS, TripoSR, or Text-to-CAD local engines.

ai-agentsgoapi
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Godmode EngineeringA

BDB Engineering Godmode, enforcing strict Domain-Driven Design, TypeScript strictness, and Clean Architecture. Use when implementing backend/fullstack features or running the systematic 5-step debugging triage.

ai-agentstypescriptrust
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6
Godmode EventtechA

Use when designing real-time live performance architectures, signal flows, protocol routings (OSC, DMX), or validating hardware limits.

ai-agentsgoc++
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6
Godmode Hardware PcbA

Use when designing electrical schematics, PCB layouts, KiCad projects, or OpenSCAD enclosures — trace geometry, impedance, stackup, DFM/DRC/ERC sign-off, and hardware-software co-design boundaries.

ai-agentsgonode
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6
Godmode Media CreationA

Use when assembling video timelines, syncing beats, or executing media creation via OpenMontage, Palmier Pro, or TouchDesigner audio/visuals.

ai-agentsgonode
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Godmode ShippingA

BDB Shipping Godmode, the final gatekeeper for production releases. Use when running pre-launch checks, feature-flag rollouts, or rollback planning under Spec-Driven Development before a release ships.

ai-agentsrustgo
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6
Godmode Ui UxA

Use when acting as the authoritative design lead for all frontend work, enforcing brand discovery, Anti-Slop rules, DTCG design tokens, fluid motion, and data-driven design generation.

ai-agentsgoreact
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6
Startcycle Graph UserA

Use when a task needs a small, throwaway multi-agent fan-out (a couple of parallel workers plus a review pass) in ANY project, without the full /startcycle-graph contract — no .agents/graph.md bootstrap, no state.json schema, no persistent files. Model-tiered by role (opus plan, sonnet review, haiku or an external CLI for workers) and portable across machines that may not have Antigravity/OpenCode/Codex installed.

ai-agentsgoshell
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Startcycle GraphA

Use when running the autonomous multi-agent build pipeline after /bdbrainstorm or /grill-me. Routes to the startcycle-dispatch Dynamic Workflow, which reads production_artifacts/state.json and invokes Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, and Shipping in turn per .agents/graph.md's edge table — the agents never invoke each other.

ai-agentsgobash
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StartcycleA

Linear multi-agent build pipeline with file hand-offs in production_artifacts/, run after /bdbrainstorm or /grill-me. This is the linear variant — no state.json, no repair loop, no dispatcher graph — distinct from startcycle-graph, which adds durable state and automated escalation.

ai-agentsgonode
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6
Teamwork PreviewA

Interactive 9-step prompt crafting and delegation protocol for autonomous multi-agent teams. Enforces objective verification, integrity modes, and acceptance criteria across Antigravity, Claude Code, Cursor, OpenCode, Codex, and Roo Code.

ai-agentsgorails
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BdbrainstormA

Combines multi-agent brainstorming, the /grill-me slash command, and the 3 Core Godmodes (godmode-engineering, godmode-ui-ux, godmode-shipping) to force a comprehensive, multi-agent ideation and technical design workflow, ending in a hand-off to /startcycle-graph.

ai-agentsgodebugging
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6
Github RepoA

Standards and workflows for writing, formatting, sanitizing, and publishing high-quality GitHub repositories, complementing openwiki-skill.

documentationpythongo
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6
MCP ManageA

Use when checking capabilities or instructing the user on how to interact with specialized MCP servers like Unreal, Rhino, DaVinci, or TouchDesigner.

ai-agentspythonrust
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6
Agent Manager SkillA

Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.

ai-agentspythonrust
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6
Agent Memory McpA

Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

ai-agentsrustgo
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Agent OrchestratorA

Use when meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.

ai-agentspythonrust
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6
Agent PipelineA

Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.

ai-agentsgonode
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6
Agent Tool BuilderA

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.

ai-agentstypescriptpython
0
6
Ai Agent DevelopmentA

AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.

ai-agentsgotesting
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6
Ai ProductA

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.

ai-agentstypescriptrust
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6
Aos Project InitA

Interview a project folder into AOS and write the result: a stable slug and domain in .aos/project.json, an OpenWiki wiki that is actually watched and does not index junk, memB memory bound to the slug, a Synapse map, AGENTS.md with its harness symlinks, and optionally CI and issue triage.

ai-agentsgobash
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6
Aos SetupD

Bring a machine to a complete, verified AOS installation: the skills pack, MCP servers, gate hooks, memB (engine, MCP, ambient hook, WebUI), OpenWiki (CLI, auth, harness integrations, refresh daemon) and Synapse. Run once on a new computer, and again whenever something in the ecosystem stopped working.

ai-agentspythongo
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6
Api Design PrinciplesA

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers and stand the test of time.

ai-agentsgotesting
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6
Api PatternsA

API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.

developmenttypescriptpython
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6
Apify Lead GenerationB

Scrape leads from multiple platforms using Apify Actors.

ai-agentsgobash
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6
Apify Ultimate ScraperB

AI-driven data extraction from 55+ Actors across all major platforms. This skill automatically selects the best Actor for your task.

ai-agentsgobash
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6
Architect ReviewA

Master software architect specializing in modern architecture

devopsrustgo
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6
Ask TimA

Ask which skill or flow fits your situation. A route through AOS's skills for work that travels idea to ship, plus a catalogue of the 185 available options for lookup. Use when unsure where to start, or when picking between overlapping choices.

ai-agentsjavascripttypescript
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Bash LinuxB

Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.

ai-agentsgoshell
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6
Bdb Adobe Suite McpA

Utilizes the Adobe Suite MCP servers (adobe_mcp.py and adobe_uxp_mcp) to automate Photoshop, Illustrator, Premiere Pro, and After Effects using ExtendScript and UXP WebSocket bridges.

ai-agentsjavascriptgo
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6
Bdb After Effects McpA

Utilizes the After Effects MCP servers (after-effects-mcp and ae-mcp) to create compositions, layers, masks, keyframe animations, and run ExtendScript.

ai-agentsjavascriptpython
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6
Bdb Blender McpA

Utilizes the Blender MCP server and addon to build 3D assets, apply materials, inspect scenes, and script bpy.

ai-agentspythongo
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6
Bdb Computer Use McpA

Utilizes native Rust/Node and Python-based computer-use-mcp servers to control macOS, Windows, and Linux desktops.

ai-agentsjavascriptpython
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6