refactor(skills): shipped-set slim — 15 to optional, github 6-way merge, pdf absorbs OCR, channel-gated teams pipeline (index −26%) (#98539)

* 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)

website/docs/user-guide/skills/optional/mlops/mlops-torchtitan.md

@@ -15,7 +15,7 @@ Pretrain LLMs at scale with PyTorch 4D parallelism.
 | | |
 |---|---|
 | Source | Optional — install with `hermes skills install official/mlops/torchtitan` |
-| Path | `optional-skills/mlops/torchtitan` |
+| Path | `optional-skills/mlops\torchtitan` |
 | Version | `1.0.1` |
 | Author | Orchestra Research |
 | License | MIT |
@@ -388,13 +388,13 @@ Create seed checkpoint first (see Workflow 4, Step 1).
 
 ## Advanced topics
 
-**FSDP2 configuration**: See [references/fsdp.md](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/torchtitan/references/fsdp.md) for detailed FSDP2 vs FSDP1 comparison and ZeRO equivalents.
+**FSDP2 configuration**: See [references/fsdp.md](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops\torchtitan/references/fsdp.md) for detailed FSDP2 vs FSDP1 comparison and ZeRO equivalents.
 
-**Float8 training**: See [references/float8.md](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/torchtitan/references/float8.md) for tensorwise vs rowwise scaling recipes.
+**Float8 training**: See [references/float8.md](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops\torchtitan/references/float8.md) for tensorwise vs rowwise scaling recipes.
 
-**Checkpointing**: See [references/checkpoint.md](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/torchtitan/references/checkpoint.md) for HuggingFace conversion and async checkpointing.
+**Checkpointing**: See [references/checkpoint.md](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops\torchtitan/references/checkpoint.md) for HuggingFace conversion and async checkpointing.
 
-**Adding custom models**: See [references/custom-models.md](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops/torchtitan/references/custom-models.md) for TrainSpec protocol.
+**Adding custom models**: See [references/custom-models.md](https://github.com/NousResearch/hermes-agent/blob/main/optional-skills/mlops\torchtitan/references/custom-models.md) for TrainSpec protocol.
 
 ## Resources