comfyui-research

Installation

$npx skills add MCKRUZ/ComfyUI-Expert --skill comfyui-research

Summary

This skill enables an agent to track latest ComfyUI models, nodes, and techniques across YouTube, GitHub, and HuggingFace, extracting findings into timestamped reference files and flagging stale information. Invoke it before workflow generation, at session start for staleness checks, or on-demand to ensure model recommendations and techniques remain current.

SKILL.MD

ComfyUI Research Skill

Keeps the VideoAgent knowledge base current by monitoring sources, extracting knowledge, and flagging stale information.

Triggers

  • On demand: User invokes /research comfyui or asks to check for updates
  • Session start: Quick staleness check (read references/staleness-report.md)
  • Before workflow generation: Targeted check if the specific model/technique is >2 months old

Research Pipeline

1. Discovery

Search for new developments across three source types:

YouTube Channels (technique extraction):

ChannelFocusURL
PixaromaComfyUI tutorials, GGUF, beginner-friendlyyoutube.com/@pixaroma
KijaiAdvanced nodes, model implementationsyoutube.com/@Kijai
Sebastian KamphComfyUI workflows, automationyoutube.com/@sebastiankamph
Olivio SarikasAI art techniques, ComfyUIyoutube.com/@OlivioSarikas
Matt WolfeAI tool roundupsyoutube.com/@maboroshi
Nerdy RodentStable Diffusion deep divesyoutube.com/@NerdyRodent

GitHub Repositories (node/model updates):

RepositoryWhat to Check
comfyanonymous/ComfyUIReleases, breaking changes
Kosinkadink/ComfyUI-AnimateDiff-EvolvedNew motion modules
cubiq/ComfyUI_IPAdapter_plusMaintenance status, forks
ltdrdata/ComfyUI-Impact-PackFaceDetailer updates
Wan-AI/Wan2.1-PreviewNew model versions
hzwer/Practical-RIFEInterpolation updates
resemble-ai/chatterboxVoice model updates
SWivid/F5-TTSTTS updates

HuggingFace (model releases):

  • Trending models: huggingface.co/models?sort=trending
  • Filter: diffusers, video, audio, text-to-image
  • Watch for: New FLUX variants, Wan updates, identity models, voice models

2. Extraction

For each discovery, extract structured knowledge:

From YouTube videos: Use youtube-video-analyst or youtube-chapter-clipper skills to:

  1. Get transcript
  2. Identify new models mentioned (name, source, requirements)
  3. Identify new techniques (workflow changes, parameter discoveries)
  4. Identify new nodes (package name, what it does)
  5. Note any benchmark results or comparisons

From GitHub releases:

  1. Check release notes for breaking changes
  2. Identify new features or supported models
  3. Note version requirements
  4. Check if deprecated features affect our workflows

From HuggingFace:

  1. Model card: architecture, training data, requirements
  2. VRAM requirements and quantization options
  3. ComfyUI compatibility (is there a node?)
  4. Quality comparison vs current recommendations

3. Integration

Update reference files with timestamped entries:

<!-- Updated: 2026-02-06 | Source: Pixaroma Ep 45 -->
### New Model: XYZ
- Download: {url}
- VRAM: {requirement}
- Notes: {key findings}

Which file to update:

Finding TypeUpdate File
New modelreferences/models.md
New workflow techniquereferences/workflows.md
LoRA training discoveryreferences/lora-training.md
Voice tool updatereferences/voice-synthesis.md
New prompt techniquereferences/prompt-templates.md
Bug workaroundreferences/troubleshooting.md
Model landscape shiftfoundation/model-landscape.md

4. Staleness Audit

Scan all reference files for <!-- Updated: --> timestamps:

Thresholds:

CategoryMax AgeAction
Models3 monthsFlag: "Model recommendations may be outdated"
Nodes2 monthsFlag: "Custom node versions may have updates"
Techniques6 monthsFlag: "Techniques may have been superseded"
Voice tools3 monthsFlag: "Voice synthesis landscape may have changed"

Generate report: Update references/staleness-report.md with current status.

Research State

Maintained in skills/comfyui-research/state/:

state/
  last-research-run.json    # When, what was checked, what was found
  watch-list.yaml           # Sources to monitor (see references/)

last-research-run.json

{
  "last_run": "2026-02-06T12:00:00Z",
  "sources_checked": 15,
  "findings": 3,
  "updates_made": [
    {"file": "models.md", "entry": "Added ModelX", "source": "HuggingFace"},
    {"file": "workflows.md", "entry": "Updated Wan settings", "source": "Pixaroma Ep 50"}
  ],
  "stale_entries": 0
}

Quick Staleness Check (Session Start)

Fast check without full research:

  1. Read references/staleness-report.md
  2. If last_run is >2 weeks ago:
    • Notify: "Research data is {N} days old. Run /research comfyui for updates."
  3. If any entries are beyond their threshold:
    • Notify: "Stale items found: {list}. These may have newer alternatives."

Full Research Run

When user triggers /research comfyui:

  1. Check all YouTube channels for recent uploads (last 30 days)
  2. Check all GitHub repos for new releases
  3. Check HuggingFace trending for relevant models
  4. Extract findings using youtube-video-analyst
  5. Update reference files with timestamped entries
  6. Run staleness audit on all references
  7. Update staleness report
  8. Summarize findings for user

Targeted Research

When asked about a specific topic:

  1. Search YouTube for recent videos on the topic
  2. Search HuggingFace for related models
  3. Check GitHub for related node packages
  4. Synthesize findings
  5. Update relevant reference files if significant discoveries

Integration with Other Skills

SkillHow Research Helps
comfyui-workflow-builderEnsures recommended models/nodes are current
comfyui-character-genUpdates identity method recommendations
comfyui-video-pipelineFlags new video models (Wan updates, new engines)
comfyui-voice-pipelineTracks voice synthesis tool releases
comfyui-troubleshooterAdds community-discovered workarounds

Reference

  • references/staleness-report.md - Current freshness status
  • references/evolution.md - Update protocol and changelog
  • skills/comfyui-research/references/watch-list.yaml - Monitored sources