comfyui-research

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ComfyUI Research Skill

ComfyUI研究技能

Keeps the VideoAgent knowledge base current by monitoring sources, extracting knowledge, and flagging stale information.
通过监控信息源、提取知识并标记过时信息,保持VideoAgent知识库的时效性。

Triggers

触发条件

  • 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
  • 按需触发:用户调用
    /research comfyui
    指令或要求检查更新
  • 会话启动时:快速执行过时检查(读取
    references/staleness-report.md
  • 工作流生成前:若特定模型/技术已超过2个月,执行针对性检查

Research Pipeline

研究流程

1. Discovery

1. 发现阶段

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
在三类信息源中搜索新进展:
YouTube频道(技术提取):
频道名称关注方向链接
PixaromaComfyUI教程、GGUF、新手友好内容youtube.com/@pixaroma
Kijai高级节点、模型实现youtube.com/@Kijai
Sebastian KamphComfyUI工作流、自动化youtube.com/@sebastiankamph
Olivio SarikasAI艺术技术、ComfyUIyoutube.com/@OlivioSarikas
Matt WolfeAI工具汇总youtube.com/@maboroshi
Nerdy RodentStable Diffusion深度解析youtube.com/@NerdyRodent
GitHub仓库(节点/模型更新):
仓库名称检查内容
comfyanonymous/ComfyUI版本发布、破坏性变更
Kosinkadink/ComfyUI-AnimateDiff-Evolved新运动模块
cubiq/ComfyUI_IPAdapter_plus维护状态、派生仓库
ltdrdata/ComfyUI-Impact-PackFaceDetailer更新
Wan-AI/Wan2.1-Preview新模型版本
hzwer/Practical-RIFE插值更新
resemble-ai/chatterbox语音模型更新
SWivid/F5-TTSTTS更新
HuggingFace(模型发布):
  • 热门模型:
    huggingface.co/models?sort=trending
  • 筛选条件:diffusers、video、audio、text-to-image
  • 重点关注:新FLUX变体、Wan模型更新、身份模型、语音模型

2. Extraction

2. 提取阶段

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
针对每个新发现,提取结构化知识:
从YouTube视频中提取: 使用
youtube-video-analyst
youtube-chapter-clipper
技能完成以下操作:
  1. 获取视频字幕
  2. 识别提及的新模型(名称、来源、运行要求)
  3. 识别新技术(工作流变更、参数新发现)
  4. 识别新节点(包名称、功能)
  5. 记录基准测试结果或对比信息
从GitHub版本发布中提取:
  1. 查看发布说明中的破坏性变更
  2. 识别新功能或支持的模型
  3. 记录版本要求
  4. 检查已弃用功能是否会影响现有工作流
从HuggingFace中提取:
  1. 模型卡片:架构、训练数据、运行要求
  2. VRAM要求与量化选项
  3. ComfyUI兼容性(是否有对应节点)
  4. 与当前推荐模型的质量对比

3. Integration

3. 整合阶段

Update reference files with timestamped entries:
markdown
<!-- Updated: 2026-02-06 | Source: Pixaroma Ep 45 -->
为参考文件添加带时间戳的条目:
markdown
<!-- Updated: 2026-02-06 | Source: Pixaroma Ep 45 -->

New Model: XYZ

新模型:XYZ

  • Download: {url}
  • VRAM: {requirement}
  • Notes: {key findings}

**Which file to update:**
| Finding Type | Update File |
|-------------|-------------|
| New model | `references/models.md` |
| New workflow technique | `references/workflows.md` |
| LoRA training discovery | `references/lora-training.md` |
| Voice tool update | `references/voice-synthesis.md` |
| New prompt technique | `references/prompt-templates.md` |
| Bug workaround | `references/troubleshooting.md` |
| Model landscape shift | `foundation/model-landscape.md` |
  • 下载地址:{url}
  • VRAM要求:{requirement}
  • 说明:{核心发现}

**对应更新的文件:**
| 发现类型 | 更新文件 |
|-------------|-------------|
| 新模型 | `references/models.md` |
| 新工作流技术 | `references/workflows.md` |
| LoRA训练新发现 | `references/lora-training.md` |
| 语音工具更新 | `references/voice-synthesis.md` |
| 新提示词技术 | `references/prompt-templates.md` |
| 问题解决方法 | `references/troubleshooting.md` |
| 模型格局变化 | `foundation/model-landscape.md` |

4. Staleness Audit

4. 过时审计

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.
扫描所有参考文件中的
<!-- Updated: -->
时间戳:
阈值设置:
类别最长有效期操作
模型3个月标记:“模型推荐可能已过时”
节点2个月标记:“自定义节点版本可能存在更新”
技术6个月标记:“技术可能已被替代”
语音工具3个月标记:“语音合成领域可能已发生变化”
生成报告:更新
references/staleness-report.md
以反映当前状态。

Research State

研究状态

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/)
状态信息存储在
skills/comfyui-research/state/
目录下:
state/
  last-research-run.json    # 上次运行时间、检查内容、发现成果
  watch-list.yaml           # 监控的信息源(详见参考文件)

last-research-run.json

last-research-run.json

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
}
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)

快速过时检查(会话启动时)

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."
无需完整研究的快速检查:
  1. 读取
    references/staleness-report.md
  2. last_run
    已超过2周:
    • 通知用户:“研究数据已过期{N}天。请运行/research comfyui获取更新。”
  3. 若存在超过阈值的条目:
    • 通知用户:“发现过时内容:{列表}。这些内容可能已有更新的替代方案。”

Full Research Run

完整研究运行

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
当用户触发
/research comfyui
时:
  1. 检查所有YouTube频道的近期上传内容(过去30天)
  2. 检查所有GitHub仓库的新版本发布
  3. 检查HuggingFace热门模型中的相关内容
  4. 使用youtube-video-analyst提取研究成果
  5. 为参考文件添加带时间戳的条目
  6. 对所有参考文件执行过时审计
  7. 更新过时报告
  8. 为用户总结研究成果

Targeted Research

针对性研究

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
当用户询问特定主题时:
  1. 在YouTube搜索该主题的近期视频
  2. 在HuggingFace搜索相关模型
  3. 在GitHub搜索相关节点包
  4. 整合研究成果
  5. 若有重大发现,更新对应参考文件

Integration with Other Skills

与其他技能的整合

SkillHow Research Helps
comfyui-workflow-builder
Ensures recommended models/nodes are current
comfyui-character-gen
Updates identity method recommendations
comfyui-video-pipeline
Flags new video models (Wan updates, new engines)
comfyui-voice-pipeline
Tracks voice synthesis tool releases
comfyui-troubleshooter
Adds community-discovered workarounds
技能研究成果的作用
comfyui-workflow-builder
确保推荐的模型/节点为当前最新版本
comfyui-character-gen
更新身份生成方法的推荐
comfyui-video-pipeline
标记新的视频模型(Wan模型更新、新引擎)
comfyui-voice-pipeline
追踪语音合成工具的发布
comfyui-troubleshooter
补充社区发现的问题解决方法

Reference

参考文件

  • references/staleness-report.md
    - Current freshness status
  • references/evolution.md
    - Update protocol and changelog
  • skills/comfyui-research/references/watch-list.yaml
    - Monitored sources
  • references/staleness-report.md
    - 当前内容新鲜度状态
  • references/evolution.md
    - 更新协议与变更日志
  • skills/comfyui-research/references/watch-list.yaml
    - 监控的信息源