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)
50 lines
1.4 KiB
JSON
50 lines
1.4 KiB
JSON
{
|
|
"_comment": "SDXL text-to-image at 1024x1024. Required model: sd_xl_base_1.0.safetensors (or any SDXL checkpoint).",
|
|
"3": {
|
|
"class_type": "KSampler",
|
|
"_meta": {"title": "KSampler"},
|
|
"inputs": {
|
|
"seed": 42,
|
|
"steps": 30,
|
|
"cfg": 7.5,
|
|
"sampler_name": "dpmpp_2m",
|
|
"scheduler": "karras",
|
|
"denoise": 1.0,
|
|
"model": ["4", 0],
|
|
"positive": ["6", 0],
|
|
"negative": ["7", 0],
|
|
"latent_image": ["5", 0]
|
|
}
|
|
},
|
|
"4": {
|
|
"class_type": "CheckpointLoaderSimple",
|
|
"_meta": {"title": "Load SDXL Base"},
|
|
"inputs": {"ckpt_name": "sd_xl_base_1.0.safetensors"}
|
|
},
|
|
"5": {
|
|
"class_type": "EmptyLatentImage",
|
|
"_meta": {"title": "Empty Latent"},
|
|
"inputs": {"width": 1024, "height": 1024, "batch_size": 1}
|
|
},
|
|
"6": {
|
|
"class_type": "CLIPTextEncode",
|
|
"_meta": {"title": "Positive Prompt"},
|
|
"inputs": {"text": "cinematic photograph, dramatic lighting, intricate detail", "clip": ["4", 1]}
|
|
},
|
|
"7": {
|
|
"class_type": "CLIPTextEncode",
|
|
"_meta": {"title": "Negative Prompt"},
|
|
"inputs": {"text": "ugly, blurry, low quality, deformed, watermark", "clip": ["4", 1]}
|
|
},
|
|
"8": {
|
|
"class_type": "VAEDecode",
|
|
"_meta": {"title": "VAE Decode"},
|
|
"inputs": {"samples": ["3", 0], "vae": ["4", 2]}
|
|
},
|
|
"9": {
|
|
"class_type": "SaveImage",
|
|
"_meta": {"title": "Save Image"},
|
|
"inputs": {"filename_prefix": "sdxl", "images": ["8", 0]}
|
|
}
|
|
}
|