comfyui-research
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ChineseComfyUI 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 or asks to check for updates
/research comfyui - 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:用户调用指令或要求检查更新
/research comfyui - 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):
| Channel | Focus | URL |
|---|---|---|
| Pixaroma | ComfyUI tutorials, GGUF, beginner-friendly | youtube.com/@pixaroma |
| Kijai | Advanced nodes, model implementations | youtube.com/@Kijai |
| Sebastian Kamph | ComfyUI workflows, automation | youtube.com/@sebastiankamph |
| Olivio Sarikas | AI art techniques, ComfyUI | youtube.com/@OlivioSarikas |
| Matt Wolfe | AI tool roundups | youtube.com/@maboroshi |
| Nerdy Rodent | Stable Diffusion deep dives | youtube.com/@NerdyRodent |
GitHub Repositories (node/model updates):
| Repository | What to Check |
|---|---|
| comfyanonymous/ComfyUI | Releases, breaking changes |
| Kosinkadink/ComfyUI-AnimateDiff-Evolved | New motion modules |
| cubiq/ComfyUI_IPAdapter_plus | Maintenance status, forks |
| ltdrdata/ComfyUI-Impact-Pack | FaceDetailer updates |
| Wan-AI/Wan2.1-Preview | New model versions |
| hzwer/Practical-RIFE | Interpolation updates |
| resemble-ai/chatterbox | Voice model updates |
| SWivid/F5-TTS | TTS 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 |
|---|---|---|
| Pixaroma | ComfyUI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 Kamph | ComfyUI工作流、自动化 | youtube.com/@sebastiankamph |
| Olivio Sarikas | AI艺术技术、ComfyUI | youtube.com/@OlivioSarikas |
| Matt Wolfe | AI工具汇总 | youtube.com/@maboroshi |
| Nerdy Rodent | Stable 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-Pack | FaceDetailer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-TTS | TTS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 or skills to:
youtube-video-analystyoutube-chapter-clipper- Get transcript
- Identify new models mentioned (name, source, requirements)
- Identify new techniques (workflow changes, parameter discoveries)
- Identify new nodes (package name, what it does)
- Note any benchmark results or comparisons
From GitHub releases:
- Check release notes for breaking changes
- Identify new features or supported models
- Note version requirements
- Check if deprecated features affect our workflows
From HuggingFace:
- Model card: architecture, training data, requirements
- VRAM requirements and quantization options
- ComfyUI compatibility (is there a node?)
- 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:
使用或技能完成以下操作:
youtube-video-analystyoutube-chapter-clipper- 获取视频字幕
- 识别提及的新模型(名称、来源、运行要求)
- 识别新技术(工作流变更、参数新发现)
- 识别新节点(包名称、功能)
- 记录基准测试结果或对比信息
从GitHub版本发布中提取:
- 查看发布说明中的破坏性变更
- 识别新功能或支持的模型
- 记录版本要求
- 检查已弃用功能是否会影响现有工作流
从HuggingFace中提取:
- 模型卡片:架构、训练数据、运行要求
- VRAM要求与量化选项
- ComfyUI兼容性(是否有对应节点)
- 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 timestamps:
<!-- Updated: -->Thresholds:
| Category | Max Age | Action |
|---|---|---|
| Models | 3 months | Flag: "Model recommendations may be outdated" |
| Nodes | 2 months | Flag: "Custom node versions may have updates" |
| Techniques | 6 months | Flag: "Techniques may have been superseded" |
| Voice tools | 3 months | Flag: "Voice synthesis landscape may have changed" |
Generate report: Update with current status.
references/staleness-report.md扫描所有参考文件中的时间戳:
<!-- Updated: -->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:更新以反映当前状态。
references/staleness-report.mdResearch 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/)状态信息存储在目录下:
skills/comfyui-research/state/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:
- Read
references/staleness-report.md - If is >2 weeks ago:
last_run- Notify: "Research data is {N} days old. Run for updates."
/research comfyui
- Notify: "Research data is {N} days old. Run
- 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:
- 读取
references/staleness-report.md - 若已超过2周:
last_run- 通知用户:“研究数据已过期{N}天。请运行/research comfyui获取更新。”
- 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- Check all YouTube channels for recent uploads (last 30 days)
- Check all GitHub repos for new releases
- Check HuggingFace trending for relevant models
- Extract findings using youtube-video-analyst
- Update reference files with timestamped entries
- Run staleness audit on all references
- Update staleness report
- Summarize findings for user
当用户触发时:
/research comfyui- 检查所有YouTube频道的近期上传内容(过去30天)
- 检查所有GitHub仓库的新版本发布
- 检查HuggingFace热门模型中的相关内容
- 使用youtube-video-analyst提取研究成果
- 为参考文件添加带时间戳的条目
- 对所有参考文件执行过时审计
- 更新过时报告
- 为用户总结研究成果
Targeted Research
针对性研究
When asked about a specific topic:
- Search YouTube for recent videos on the topic
- Search HuggingFace for related models
- Check GitHub for related node packages
- Synthesize findings
- Update relevant reference files if significant discoveries
当用户询问特定主题时:
- 在YouTube搜索该主题的近期视频
- 在HuggingFace搜索相关模型
- 在GitHub搜索相关节点包
- 整合研究成果
- 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
| Skill | How Research Helps |
|---|---|
| Ensures recommended models/nodes are current |
| Updates identity method recommendations |
| Flags new video models (Wan updates, new engines) |
| Tracks voice synthesis tool releases |
| Adds community-discovered workarounds |
| 技能 | 研究成果的作用 |
|---|---|
| 确保推荐的模型/节点为当前最新版本 |
| 更新身份生成方法的推荐 |
| 标记新的视频模型(Wan模型更新、新引擎) |
| 追踪语音合成工具的发布 |
| 补充社区发现的问题解决方法 |
Reference
参考文件
- - Current freshness status
references/staleness-report.md - - Update protocol and changelog
references/evolution.md - - Monitored sources
skills/comfyui-research/references/watch-list.yaml
- - 当前内容新鲜度状态
references/staleness-report.md - - 更新协议与变更日志
references/evolution.md - - 监控的信息源
skills/comfyui-research/references/watch-list.yaml