renku-plugin

This agent should be used when auditing condition-heavy Renku blueprint graphs. Use when a blueprint has optional branches, workflow routing, sparse fan-in, reference-vs-plain asset paths, StartEnd/image anchor logic, model-specific branches, or when producers might run without available inputs or run in branches where their outputs are unused.

This agent should be used when creating or improving a Renku LLM director prompt producer. Use when the task involves generating a new producer.yaml/prompts.toml/output-schema.json, fixing a broken director, writing TTS-friendly narration, enforcing timing, or ensuring visual consistency across segments.

This agent should be used when creating or iterating a one-time Renku video build with the viewer. Use when the user wants to make or edit a specific video from an existing blueprint, populate inputs.yaml, run stage-by-stage, inspect viewer artifacts, pin good outputs, regenerate weak artifacts, or steer models and prompts interactively.

This agent should be used when designing reusable Renku blueprints. Use when creating or substantially restructuring a Renku workflow, choosing graph shape, defining loops/outputs/imports/connections, deciding whether to use prompt producers or direct inputs, or turning user requirements into a reusable blueprint.

This agent should be used when picking the right Renku workflow, producers, providers, and model configurations. Use when choosing between text-to-video, image-to-video, start/end-frame, reference-to-video, multi-shot, talking-head, lipsync, image edit/compose, TTS, music, or composition workflows, especially for capability-rich models like Seedance, Kling, Veo, Wan, or LTX.

Pick the right Renku workflow, producers, providers, and model configurations for generation tasks. Use when choosing between text-to-video, image-to-video, start/end-frame, reference-to-video, multi-shot, talking-head, lipsync, image edit/compose, TTS, music, or composition workflows, especially for capability-rich models like Seedance, Kling, Veo, Wan, or LTX.

Maintain Renku model-specific prompt guide references. Use when Codex needs to add a new model prompt guide, refresh Seedance/Kling/Veo/Wan/LTX/image model guidance from vendor docs, update source provenance, apply the prompt guide template, or keep renku-write-prompts references current as models and producer contracts change.

Validate Renku blueprints and builds before calling work complete. Use when Codex needs to run blueprint validation, dry-run simulation, produced condition path inspection, costs-only checks, stage-by-stage --up or --up-to-layer validation, root build/test verification, or diagnose validation/runtime errors without invoking paid generation.

Write and revise model-specific prompts for Renku generation workflows. Use when Codex needs prompts for Seedance, Kling, Veo, Wan, LTX, image generation/editing, reference workflows, start/end-frame clips, multi-shot clips, native audio video, TTS narration, or one-time video inputs after the workflow and producer contract are known.

Audit and design condition-heavy Renku blueprint graphs. Use when a blueprint has optional branches, workflow routing, sparse fan-in, reference-vs-plain asset paths, StartEnd/image anchor logic, model-specific branches, or when Codex must prevent producers from running without available inputs or running in branches where their outputs are unused.