Ai automation workflows

Skill Sheshiyer/skill-clusters/skills/ai-automation-workflows

Use when you need to orchestrate an approved AI workflow, scheduled automation, or execution backend without bypassing the packet and approval path. This local mirror aligns OpenClaw with inference-sh agent-skills ai-automation-workflows.From its SKILL.md

Install

npx -y skills add Sheshiyer/skill-clusters --skill ai-automation-workflows

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

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SKILL.md

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AI Automation Workflows

Use this skill when the main problem is workflow choreography, not authorship.

Primary Owner

sadhana-orchestrator

OpenClaw Bindings

Execute approved inference tasks:

python3 ~/.openclaw/scripts/inference_flow_run.py --packet /abs/path/to/packet.json --dry-run

Hand actionable findings to Paperclip:

python3 ~/.openclaw/scripts/handoff-to-paperclip.py --packet /abs/path/to/packet.json

Preflight the distribution lane:

python3 ~/.openclaw/scripts/test-distribution-flow.py

Workflow

Confirm that the upstream packet, approval state, and required assets exist.
Confirm whether the run is dry-run or live.
Route execution through the existing adapters.
Capture receipts and surface failures.
Never skip the approval boundary just because automation is available.

Guardrails

This skill does not create permission to publish.
Cron-owned automation must remain downstream of CLIP and the packet gate.
Prefer existing adapters over raw provider calls.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.