* 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)
60 lines
1.8 KiB
JSON
60 lines
1.8 KiB
JSON
{
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"_comment": "SDXL inpainting: given an image + mask, regenerate the masked region. Upload both: --input-image image=./photo.png --input-image mask_image=./mask.png. White pixels in mask = regenerate; black = preserve.",
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"1": {
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"class_type": "LoadImage",
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"_meta": {"title": "Load Source"},
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"inputs": {"image": "REPLACE_WITH_UPLOADED_FILENAME.png"}
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},
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"2": {
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"class_type": "LoadImageMask",
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"_meta": {"title": "Load Mask"},
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"inputs": {"image": "REPLACE_WITH_UPLOADED_MASK.png", "channel": "red"}
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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,
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"steps": 30,
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"cfg": 7.5,
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"sampler_name": "dpmpp_2m",
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"scheduler": "karras",
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"denoise": 1.0,
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"model": ["4", 0],
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"positive": ["6", 0],
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"negative": ["7", 0],
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"latent_image": ["12", 0]
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}
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},
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"4": {
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"class_type": "CheckpointLoaderSimple",
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"_meta": {"title": "Checkpoint"},
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"inputs": {"ckpt_name": "sd_xl_base_1.0.safetensors"}
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},
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"6": {
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"class_type": "CLIPTextEncode",
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"_meta": {"title": "Positive Prompt"},
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"inputs": {"text": "fill with blooming flowers, photorealistic", "clip": ["4", 1]}
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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": {"text": "ugly, blurry, deformed, bad anatomy", "clip": ["4", 1]}
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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": ["4", 2]}
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},
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"9": {
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"class_type": "SaveImage",
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"_meta": {"title": "Save"},
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"inputs": {"filename_prefix": "sdxl_inpaint", "images": ["8", 0]}
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},
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"12": {
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"class_type": "VAEEncodeForInpaint",
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"_meta": {"title": "VAE Encode for Inpaint"},
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"inputs": {"pixels": ["1", 0], "mask": ["2", 0], "vae": ["4", 2], "grow_mask_by": 6}
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}
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}
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