multiAI Summary Pending
agentic-workflow-automation
Generate reusable multi-step agent workflow blueprints. Use for trigger/action orchestration, deterministic workflow definitions, and automation handoff artifacts.
3,556 stars
byopenclaw
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/agentic-workflow-automation/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/0x-professor/agentic-workflow-automation/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agentic-workflow-automation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agentic-workflow-automation Compares
| Feature / Agent | agentic-workflow-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?
Generate reusable multi-step agent workflow blueprints. Use for trigger/action orchestration, deterministic workflow definitions, and automation handoff artifacts.
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
# Agentic Workflow Automation ## Overview Build workflow blueprints that can be translated into automation platforms such as n8n or internal orchestrators. ## Workflow 1. Define workflow name, trigger, and ordered steps. 2. Normalize each step into a simple execution contract. 3. Build a blueprint with dependencies and execution order. 4. Export JSON/markdown artifacts for implementation. ## Use Bundled Resources - Run `scripts/generate_workflow_blueprint.py` for deterministic workflow output. - Read `references/workflow-blueprint-guide.md` for step design guidance. ## Guardrails - Keep each step single-purpose. - Include clear fallback behavior for failed steps.