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openclaw-agent-optimize

openclaw-agent-optimize

github.com/phenomenonerAgent workflows2166 installsUpdated 38w ago
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About openclaw-agent-optimize

A skill for tuning OpenClaw workspaces through cost-aware model routing, parallel delegation, and leaner context. It guides operators through audits and guarded optimization without making persistent changes absent approval.

Key features

  1. 01Audit rules and memory
  2. 02Review tiered model routing
  3. 03Apply progressive context disclosure
  4. 04Parallelize independent work
  5. 05Add heartbeat and budget safeguards

Use cases

  1. 01Reviewing an OpenClaw workspace for optimization
  2. 02Reducing context from stale sessions
  3. 03Planning safer heartbeat changes

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/phenomenoner/openclaw-agent-optimize --skill openclaw-agent-optimize

After installing, type/openclaw-agent-optimizein Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

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

Details

From the project README

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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