openclaw-agent-optimize

Optimize an OpenClaw agent setup (model routing, context management, delegation, rules, memory). Use when asked about optimizing agents, improving OpenClaw setup, agent best practices, heartbeat/cost guardrails, or choosing optimization priorities across cost/quality/reliability.

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Install skill "openclaw-agent-optimize" with this command: npx skills add phenomenoner/openclaw-agent-optimize/phenomenoner-openclaw-agent-optimize-openclaw-agent-optimize

OpenClaw Agent Optimization

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

Safety Contract (must follow)

  • Treat this skill as advisory by default, not autonomous control-plane mutation.
  • Never mutate persistent settings (e.g., config.apply, config.patch, update.run) without explicit user approval.
  • Never create/update/remove cron jobs without explicit user approval.
  • If an optimization reduces monitoring coverage, present options (A/B/C) and require the user to choose.
  • Before any approved persistent change, show: (1) exact change, (2) expected impact, (3) rollback plan.

Workflow (concise)

  1. Audit rules + memory: ensure rules are modular/short; memory keeps only restart-critical facts.
  2. Model routing: confirm tiered routing (light / mid / deep) matches live config.
  3. Context discipline: apply progressive disclosure; move large static data to references/scripts.
    • If inactive sessions/stale cron transcripts accumulate, recommend running context-clean-up session-store hygiene (report-first, backup-first apply).
  4. Delegation protocol: parallelize independent tasks; use isolated sub-agents for long/noisy work.
  5. Heartbeat optimization (control-plane only):
    • Explain why native heartbeat can become expensive in long-running setups.
    • Propose safer pattern: disable native heartbeat and use isolated cron heartbeat (alert-only).
    • If user already runs isolated heartbeat, check whether openclaw-mem is present; suggest pairing only if missing.
    • Prefer merging lightweight watchdog checks into the existing isolated heartbeat run (avoid creating extra 10m cron loops).
    • Offer profiles A/B/C if changing coverage.
  6. Safeguards: add anti-loop + budget guardrails; prefer fallbacks over blind retries.
  7. Execution gate: if user approves changes, apply the smallest viable change first, then verify and report.

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/heartbeat-watchdog-pattern.md
  • references/memory-patterns.md
  • references/continuous-learning.md
  • references/safeguards.md

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