multiAI Summary Pending
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.
3,556 stars
byopenclaw
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/docs-pipeline-automation/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/0x-professor/docs-pipeline-automation/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/docs-pipeline-automation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How docs-pipeline-automation Compares
| Feature / Agent | docs-pipeline-automation | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Build repeatable data-to-Docs pipelines from Sheets and Drive sources. Use for automated status reports, template-based document assembly, and scheduled publishing workflows.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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.