ai-automation-workflowslisted

# 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: ```bash python3 ~/.openclaw/scripts/inference_flow_run.py --packet /abs/path/to/packet.json --dry-run ``` - Hand actionable findings to Paperclip: ```bash python3 ~/.openclaw/scripts/handoff-to-paperclip.py --packet /abs/path/to/packet.json ``` - Preflight the distribution lane: ```bash python3 ~/.openclaw/scripts/test-distribution-flow.py ``` ## Workflow 1. Confirm that the upstream packet, approval state, and required assets exist. 2. Confirm whether the run is `dry-run` or live. 3. Route execution through the existing adapters. 4. Capture receipts and surface failures. 5. 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.