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Setup Agent Skill

>- Connect this agent to a running Guaardvark (self-hosted AI studio) and check what it can do right now. Use first when the user mentions Guaardvark, asks to generate images/video/music/voice locally, run a Film Crew, train a LoRA, launch a swarm, or when a guaardvark MCP tool is missing or a call fails with "not reachable" / "plugin offline".

1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
211
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/guaardvark/guaardvark --skill setup

The instruction itself

5 sections, as written by the author

Guaardvark: connect and check

Guaardvark runs on the user's own machine. Everything below is local; nothing leaves the box.

Where it is

  • Backend URL: ${GUAARDVARK_URL:-http://localhost:5000}. The macOS default port is 5055

(AirPlay owns 5000). The web UI is on port 5173 in dev, or the same port as the backend in Docker.

  • Health: !curl -sf ${GUAARDVARK_URL:-http://localhost:5000}/api/health || curl -sf http://localhost:5055/api/health || echo "backend not reachable on 5000 or 5055"
  • Plugins: !curl -sf ${GUAARDVARK_URL:-http://localhost:5000}/api/plugins/status || echo "plugin status unavailable"

If the backend is not reachable, tell the user to start it from the Guaardvark checkout

(./start.sh, or docker compose up), then retry. Do not try to start it yourself.

Two ways to drive it

  • MCP tools (preferred when present): the guaardvark MCP server exposes chat, RAG, memory,

code intelligence, file processing, web fetch, image/video/animation/music-video/film-crew

generation, get_generation_status for any queued batch, outreach drafting and GPU/log

inspection. Generation tools queue by default over MCP and return a batch id. In Claude Code they appear as

mcp__guaardvark__<tool> after python -m backend.mcp install, or as

mcp__plugin_guaardvark_guaardvark__<tool> when the plugin was installed from the marketplace. Install once from the checkout:

   python -m backend.mcp install      # writes the server entry into Claude Code, Cursor, Claude Desktop, Codex, Zed, Gemini
   python -m backend.mcp doctor       # self-test + stale-config scan
   python -m backend.mcp list-tools   # what is exposed right now

Restart the client after installing so it re-reads its MCP config.

  • REST for everything the MCP policy does not expose (voice, music, upscaling, batches,

cast/LoRA training, swarm launch, interconnector, plugins). Use curl against the backend URL.

Responses are wrapped as {"success": bool, "data": {...}, "message": str} on most routes; a few

older routes return the bare object. Read data when it is present.

Before generating anything

  • GPU services are plugins. Check GET /api/plugins/status; a generation route answers 503 when

its plugin is not running. Start one with POST /api/plugins/<id>/start where <id> is

comfyui (image + video), audio_foundry (voice, music, FX), upscaling, lora_trainer,

swarm. Only one heavy model owns the GPU at a time; the orchestrator evicts Ollama for video

and vice versa, so a first call after a switch is slow. inspect_gpu (MCP) shows who holds it.

  • Installed models: GET /api/batch-video/models and GET /api/batch-image/models list every

registry entry with capabilities; check installed before naming a model. Nothing downloads

without an explicit Install, so if a model is missing say so and offer

POST /api/batch-video/models/download {"model_id": "..."} (or the image route with

{"model_path": "..."}).

  • Outputs land under data/outputs/ in the checkout and are also served read-only over MCP as

guaardvark://outputs/... resources.

Skills in this pack

| Skill | Use for |

|---|---|

| image | one image, edits, cast characters, batch image runs |

| video | one clip, image-to-video, first/last frame, batch video runs, MiniMax H3 with sound |

| music-video | a song in, a beat-cut music video out, with the approval gate |

| film-crew | screenplay to finished short: writer, casting, storyboards, render, edit |

| voice | narration, TTS, consent-gated voice cloning |

| music | full songs with lyrics, instrumentals, sound effects |

| upscale | 2x to 8K upscaling of images and video |

| cast | Cast Library subjects and LoRA training for consistent characters |

| models | add any Hugging Face model or LoRA from a URL |

| swarm | parallel coding agents in git worktrees from a plan file |

| knowledge | the user's indexed documents, memory, web fetch |

| code | code search, repository map, self-improvement status |

| outreach | supervised social drafts (never posts) |

| ops | GPU, logs, Celery, plugins, Interconnector sync, autoresearch, infographics |

How to use it

Copy the folder

Take guaardvark/setup from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.