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)
79 lines
2.2 KiB
JSON
79 lines
2.2 KiB
JSON
{
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"_comment": "Flux Dev text-to-image using the modern sampler chain (BasicScheduler/Guider/SamplerCustomAdvanced). Required: flux1-dev.safetensors (UNET), t5xxl_fp16.safetensors + clip_l.safetensors (CLIP), ae.safetensors (VAE).",
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"6": {
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"class_type": "CLIPTextEncode",
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"_meta": {"title": "Prompt"},
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"inputs": {"text": "a serene mountain landscape at golden hour, photorealistic", "clip": ["11", 0]}
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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": ["13", 0], "vae": ["10", 0]}
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},
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"9": {
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"class_type": "SaveImage",
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"_meta": {"title": "Save Image"},
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"inputs": {"filename_prefix": "flux_dev", "images": ["8", 0]}
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},
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"10": {
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"class_type": "VAELoader",
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"_meta": {"title": "VAE"},
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"inputs": {"vae_name": "ae.safetensors"}
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},
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"11": {
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"class_type": "DualCLIPLoader",
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"_meta": {"title": "DualCLIPLoader"},
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"inputs": {
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"clip_name1": "t5xxl_fp16.safetensors",
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"clip_name2": "clip_l.safetensors",
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"type": "flux"
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}
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},
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"12": {
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"class_type": "UNETLoader",
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"_meta": {"title": "UNET Loader"},
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"inputs": {"unet_name": "flux1-dev.safetensors", "weight_dtype": "default"}
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},
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"13": {
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"class_type": "SamplerCustomAdvanced",
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"_meta": {"title": "Sampler Custom"},
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"inputs": {
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"noise": ["25", 0],
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"guider": ["22", 0],
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"sampler": ["16", 0],
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"sigmas": ["17", 0],
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"latent_image": ["27", 0]
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}
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},
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"16": {
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"class_type": "KSamplerSelect",
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"_meta": {"title": "Sampler Select"},
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"inputs": {"sampler_name": "euler"}
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},
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"17": {
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"class_type": "BasicScheduler",
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"_meta": {"title": "Scheduler"},
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"inputs": {
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"scheduler": "simple",
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"steps": 20,
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"denoise": 1.0,
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"model": ["12", 0]
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}
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},
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"22": {
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"class_type": "BasicGuider",
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"_meta": {"title": "Guider"},
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"inputs": {"model": ["12", 0], "conditioning": ["6", 0]}
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},
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"25": {
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"class_type": "RandomNoise",
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"_meta": {"title": "Noise"},
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"inputs": {"noise_seed": 42}
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},
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"27": {
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"class_type": "EmptySD3LatentImage",
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"_meta": {"title": "Latent"},
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"inputs": {"width": 1024, "height": 1024, "batch_size": 1}
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}
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}
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