Replicate Runtime Skill
SkillMediaGenerate images and short videos from text prompts through the Replicate MCP. Use when the user asks to create/generate an image or video with AI, or to run a specific Replicate model.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Replicate Runtime Skill skill
What this skill tells your AI
The instructions your AI receives, as published by manor-os/manor-ai in packages/core/ai/skills/mcp_replicate/SKILL.md and read by ahel’s review.
Use this skill to generate media via Replicate through the Replicate MCP (mcp__replicate__*).
When To Use
Use Replicate when the user asks to generate an image or a short video from a text prompt, or to run a specific Replicate model. For voice/audio use mcp_elevenlabs; for Chinese-first image/video use mcp_jimeng.
Connection
Authenticates with a Replicate API token. On an auth error, stop and ask the user to fix the token. Generation costs money and time per run — treat each call as billable.
Core Tools
generate_image— text prompt → image.generate_video— text prompt → short video.run_model— escape hatch: run any Replicate model by id with arbitrary inputs (use only when the two helpers above don't fit).
Common Recipes
Generate an image
- Confirm the prompt (and any size/style) with the user. 2.
generate_image. 3. Return the result reference/URL.
Run a specific model
- Identify the model id + its required inputs. 2.
run_modelwith those inputs.
Guardrails
- Each generation is billable and not instant — confirm the prompt before generating; don't speculatively fan out many variations unless the user asked for several.
- Don't silently retry a failed/long generation in a loop — surface status and ask before re-running (re-runs cost again).
- Respect content policy: refuse prompts for disallowed content (e.g. real-person deepfakes, sexual content involving minors, etc.).
run_modelwith a wrong input schema wastes a paid run — verify the model's expected inputs first.
Edge Cases & Errors
- Output is async/URL-based — return the produced asset reference; don't fabricate a result if generation hasn't completed.
- Video generation is slower/pricier than image — set expectations and confirm before kicking it off.
- Auth/quota errors → stop and tell the user (token invalid or credits exhausted).
Signals
- GitHub stars
- 171
- Forks
- 52
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
mcp-replicate- Source
- github.com/manor-os/manor-ai