How do I install the Openclaw Agent Optimize skill?

Run npx skillmds@latest add demerzels-lab/openclaw-agent-optimize in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Openclaw Agent Optimize skill do?

Optimize an OpenClaw agent setup (model routing, context management, delegation, rules, memory). Use when asked about optimizing agents, improving OpenClaw setup, or agent best practices. It is listed under AI & ML on SkillMD.

Is Openclaw Agent Optimize safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Openclaw Agent Optimize?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Openclaw Agent Optimize free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Openclaw Agent Optimize?

Demerzels-lab (@demerzels-lab) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Openclaw Agent Optimize by demerzels-lab

Name: Openclaw Agent Optimize
Rating: 4.666666666666667 (3 reviews)
Author: Demerzels-lab

File contents

OpenClaw Agent Optimization

Use this skill to tune an OpenClaw workspace for cost-aware routing, parallel-first delegation, and lean context.

Workflow (concise)

Audit rules + memory: ensure rules are modular/short; memory is only restart-critical facts.
Model routing: confirm tiered routing (lightweight / mid / deep) aligns with live config.
Context discipline: apply progressive disclosure; move large static data to references/scripts.
Delegation protocol: parallelize independent tasks; use sub-agents for long/isolated work.
Heartbeat optimization: treat heartbeat as control-plane; move heavy checks to isolated cron/scripts; offer profiles A/B/C and require user choice if removing checks.
Safeguards: add anti-loop + budget guardrails; prefer fallbacks over retries.

References

references/optimization-playbook.md
references/model-selection.md
references/context-management.md
references/agent-orchestration.md
references/cron-optimization.md
references/heartbeat-optimization.md
references/memory-patterns.md
references/continuous-learning.md
references/safeguards.md

Frequently asked questions

Openclaw Agent Optimize