Operate OpenClaw agents
Action playbook from six conference talks. Do not summarize talks — pick a workflow and execute it.
Supporting files:
- workflows.md — workflows A–G (steps, deliverables, stop conditions)
Optional deliverables: {SKILL_OUTPUT_DIR}/operate-openclaw-agents/ — see skills-i-use OUTPUT.md.
Step 0 — Pick workflow
What is the user trying to do?
├─ Run OpenClaw for themselves, safely → A (personal, incremental)
├─ Run OpenClaw at work / for a team → B (enterprise container)
├─ Scale many agents / tasks on Kubernetes → C (K8s + disposable agents)
├─ Maintain OpenClaw or triage PR flood → D (maintainer ops)
├─ Measure / eval a changing agent harness → E (malleable evals)
├─ Decide local vs cloud personal agent → F (local/private)
└─ Build company agent in Slack (not personal) → G (Viktor-style)
Open workflows.md for the chosen letter.
Install
cp -r skills/ai-engineer-talks/operate-openclaw-agents ~/.claude/skills/
cp -r skills/ai-engineer-talks/operate-openclaw-agents ~/.cursor/skills/
cp -r skills/ai-engineer-talks/operate-openclaw-agents ~/.codex/skills/
From skills-i-use or ingest-into-skills after sync.
Source corpus: ingest-into-skills playlists/openclaw/.
Output to user
- Name the workflow (A–G) and deliverables you are producing
- Save runbooks/checklists under
./skill-outputs/operate-openclaw-agents/when the user wants files - Do not auto-commit
Invocation examples
@operate-openclaw-agents set up personal OpenClaw incrementally
harden OpenClaw for enterprise containers
design malleable evals for our OpenClaw harness