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Operate openclaw agents

Skill hiteshbandhu/skills-i-use/skills/ai-engineer-talks/operate-openclaw-agents

Runs checklists and workflows for deploying, securing, scaling, and evaluating OpenClaw agents — personal incremental setup, enterprise containers, Kubernetes, maintainer PR triage, malleable evals, local vs cloud, team Slack agents. Use when the user deploys OpenClaw, hardens a rollout, designs agent evals, sets up a personal agent, compares Viktor-style Slack agents vs OpenClaw, or says "OpenClaw K8s", "OpenClaw security", "agent eval harness".From its SKILL.md

Install
npx -y skills add hiteshbandhu/skills-i-use --skill operate-openclaw-agents

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

2 things to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 3 commands, including `cp -r skills/ai-engineer-talks/operate-openclaw-agents ~/.claude/skills/` and 2 more.

SKILL.md

2.4 KB, 527 tokens by cl100k_base, as published. Nobody here has run it

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

  1. Name the workflow (A–G) and deliverables you are producing
  2. Save runbooks/checklists under ./skill-outputs/operate-openclaw-agents/ when the user wants files
  3. 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

What ships with it: 2 files

8.9 KB alongside SKILL.md

Gives 0 of the 12 instructions most containers cloud skills give in 527 tokens

Counted across 607 of the 705 authors here whose files we hold, read 2026-09-06

  • Run as non-root userin 34 of 607, across 27 files
  • Use multi-stage buildsin 29 of 607
  • Set resource requests and limitsin 24 of 607, across 20 files
  • Configure liveness and readiness probesin 18 of 607, across 14 files
  • Use named volumes for persistent datain 14 of 607, across 9 files
  • Pin base image versionsin 14 of 607
  • Set up environment variablesin 14 of 607, across 10 files
  • Pin provider versionsin 14 of 607
  • Apply least privilege RBAC permissionsin 10 of 607, across 7 files
  • Create a dockerignore filein 10 of 607
  • Use remote state with lockingin 9 of 607
  • Pin base images by digestin 9 of 607, across 8 files

Said here and by no other author read

  • Pick a workflow and execute it
  • Open workflows.md
  • Name the workflow and deliverables
  • Save runbooks and checklists under the output directory

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.