OpenClaw
dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
docs-pipeline-automation
Build repeatable data-to-Docs pipelines from Sheets and Drive sources. Use for automated status reports, template-based document assembly, and scheduled publishing workflows.
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install 0x-professor/docs-pipeline-automationExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Instructions
Docs Pipeline Automation
Overview
Create deterministic pipelines that transform Workspace data sources into generated Docs outputs.
Workflow
- Define pipeline name, sources, template, and destination.
- Normalize source extraction and section mapping steps.
- Build report assembly sequence and publish target.
- Export implementation-ready pipeline artifact.
Use Bundled Resources
- Run
scripts/compose_docs_pipeline.pyfor deterministic pipeline output. - Read
references/docs-pipeline-guide.mdfor document assembly guidance.
Guardrails
- Keep source mapping explicit and versioned.
- Include fallback behavior for missing sections.
Informations sur la source
- Source
- github
- Repository
- openclaw/skills
- Path
- skills/0x-professor/docs-pipeline-automation
- Version
- —
- Commit
- c06fa1718c4b22c9d0d79be0a3e6140800d1280c
- Source de classification
- rules
- Statut
- active
- Visibilité
- public
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Contenu extrait
SKILL.md
# Docs Pipeline Automation ## Overview Create deterministic pipelines that transform Workspace data sources into generated Docs outputs. ## Workflow 1. Define pipeline name, sources, template, and destination. 2. Normalize source extraction and section mapping steps. 3. Build report assembly sequence and publish target. 4. Export implementation-ready pipeline artifact. ## Use Bundled Resources - Run `scripts/compose_docs_pipeline.py` for deterministic pipeline output. - Read `references/docs-pipeline-guide.md` for document assembly guidance. ## Guardrails - Keep source mapping explicit and versioned. - Include fallback behavior for missing sections.
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