c49fa88b80
* refactor(skills): shipped-set slim — 15 skills to optional, github six-way merge, pdf absorbs OCR+nano-pdf, channel-gated teams pipeline
Maintainer-directed shipped-skills curation (skills index 1,900 -> ~1,400
tok/call on desktop; every session pays the index, so this is a per-call
diet on all installs):
- optional-skills moves (installable via skills hub, history preserved):
creative comfyui/ascii-art/excalidraw/pretext/sketch/touchdesigner-mcp;
ALL of mlops (huggingface-hub, llama-cpp, serving-llms-vllm,
weights-and-biases, evaluating-llms-harness — subcategory structure
kept); research-paper-writing (55 supporting files, 17.3K-tok load);
openhue; blogwatcher (first taught the cronjob monitor-field watch
pattern + web_extract instead of pre-cron manual workflows)
- DELETED session-librarian (Aug-12 'inspired by Perplexity Computer'
port, never maintainer-intended; session_search covers discovery)
- github: six skills (auth, issues, pr-workflow, issue-to-pr,
code-review, repo-management) merged into ONE software-development/
github skill — routing body + complete per-workflow references;
benbarclay authorship credited; codebase-inspection rides along;
discipline pins from test_github_issue_to_pr_skill.py preserved
against the reference body in the new test_github_skill.py
- pdf absorbs ocr-and-documents + nano-pdf as references/ + scripts
(extract_pymupdf, extract_marker converted to the argparse house
standard its contract test enforces)
- NEW session_platforms frontmatter gate (metadata.hermes): hides a
skill from the index on gateway channels it is not for; fail-open on
unknown platform; teams-meeting-pipeline gated to [teams, cron]
- blocked-page-recovery: research -> new web category; trigger-first
description ('Use when a fetch fails: 403/429, paywall, WAF, bot
wall.') so the model actually reaches for it on blocked fetches
- docs regenerated via generate-skill-docs.py (195 pages); related_skills
swept repo-wide; tests: 1672 passed (2 openclaw failures pre-existing
on clean main, Windows-local)
* chore: ignore .skills_prompt_snapshot.json (local index cache, accidentally committed)
70 lines
2.1 KiB
JSON
70 lines
2.1 KiB
JSON
{
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"_comment": "Wan 2.1 text-to-video. Cloud: confirmed available. Local: download wan2.1_t2v_1.3B_fp16.safetensors → models/diffusion_models/ (or models/unet/), umt5_xxl_fp16.safetensors → models/text_encoders/ (or models/clip/), wan_2.1_vae.safetensors → models/vae/. Output: MP4. Large model — only on cloud or 24 GB+ local GPU.",
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"6": {
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"class_type": "CLIPTextEncode",
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"_meta": {"title": "Prompt"},
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"inputs": {
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"text": "a graceful crane taking flight from a misty lake at dawn, slow motion, 4k",
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"clip": ["38", 0]
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}
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},
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"7": {
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"class_type": "CLIPTextEncode",
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"_meta": {"title": "Negative Prompt"},
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"inputs": {
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"text": "static, blurry, watermark, low quality",
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"clip": ["38", 0]
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}
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},
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"8": {
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"class_type": "VAEDecode",
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"_meta": {"title": "VAE Decode"},
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"inputs": {"samples": ["3", 0], "vae": ["39", 0]}
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},
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"37": {
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"class_type": "UNETLoader",
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"_meta": {"title": "Wan UNET"},
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"inputs": {"unet_name": "wan2.1_t2v_1.3B_fp16.safetensors", "weight_dtype": "default"}
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},
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"38": {
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"class_type": "CLIPLoader",
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"_meta": {"title": "Wan CLIP"},
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"inputs": {"clip_name": "umt5_xxl_fp16.safetensors", "type": "wan"}
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},
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"39": {
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"class_type": "VAELoader",
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"_meta": {"title": "Wan VAE"},
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"inputs": {"vae_name": "wan_2.1_vae.safetensors"}
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},
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"3": {
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"class_type": "KSampler",
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"_meta": {"title": "KSampler"},
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"inputs": {
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"seed": 42, "steps": 30, "cfg": 6.0,
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"sampler_name": "uni_pc", "scheduler": "simple", "denoise": 1.0,
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"model": ["37", 0],
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"positive": ["6", 0],
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"negative": ["7", 0],
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"latent_image": ["40", 0]
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}
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},
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"40": {
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"class_type": "EmptyHunyuanLatentVideo",
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"_meta": {"title": "Latent Video (33 frames)"},
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"inputs": {"width": 832, "height": 480, "length": 33, "batch_size": 1}
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},
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"9": {
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"class_type": "VHS_VideoCombine",
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"_meta": {"title": "Video Combine"},
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"inputs": {
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"frame_rate": 16.0,
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"loop_count": 0,
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"filename_prefix": "wan_t2v",
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"format": "video/h264-mp4",
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"pingpong": false,
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"save_output": true,
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"images": ["8", 0]
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}
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}
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}
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