🧪 Skills

Openclaw Agent Optimize

Use when: you want a structured audit -> options -> recommended plan to improve an OpenClaw workspace (cost, model routing, context discipline, delegation, r...

v1.2.1
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Description


name: openclaw-agent-optimize slug: openclaw-agent-optimize version: 1.2.1 license: MIT description: | Use when: you want a structured audit -> options -> recommended plan to improve an OpenClaw workspace (cost, model routing, context discipline, delegation, reliability). Don't use when: you want immediate config/cron mutations without review, or the question is unrelated to OpenClaw ops. Output: a prioritized plan with exact change proposals, expected impact, and rollback steps. No persistent changes without explicit approval. triggers:

  • optimize agent
  • optimizing agent
  • improve OpenClaw setup
  • agent best practices
  • OpenClaw optimization metadata: openclaw: emoji: "🧰"

OpenClaw Agent Optimization

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

Default posture

This skill is advisory first. It should produce:

  • audit,
  • options,
  • recommended plan,
  • exact patch proposal,
  • rollback,
  • verification plan.

No persistent mutations without explicit approval.

Quick start

  1. Full audit (safe, no changes)

Audit my OpenClaw setup for cost, reliability, and context bloat. Output a prioritized plan with rollback notes. Do NOT apply changes.

  1. Context bloat / transcript noise

My OpenClaw context is bloating (slow replies / high cost / lots of transcript noise). Identify the top offenders (tools, crons, bootstrap files, skills) and propose the smallest reversible fixes first. Do NOT apply changes.

  1. Model routing / delegation posture

Propose a model routing plan for (a) coding/engineering, (b) short notifications/reminders, (c) reasoning-heavy research/writing. Include an exact config patch + rollback plan, but do NOT apply changes.

What good output looks like

  • Executive summary
  • Top drivers
    • cost
    • context
    • reliability
    • operator friction
  • Options A/B/C with tradeoffs
  • Recommended plan (smallest safe change first)
  • Exact proposals + rollback + verify

Safety contract

  • Do not mutate persistent settings without explicit approval.
  • Do not create/update/remove cron jobs without explicit approval.
  • If an optimization reduces monitoring coverage, present options and require choice.
  • Before any approved change, show:
    1. exact change,
    2. expected impact,
    3. rollback plan,
    4. post-change verification.

High-ROI optimization levers

1) Output discipline for automation

Make maintenance loops truly silent on success.

2) Separate work from notification

If you want alerts but want interactive context lean:

  • do the work quietly
  • notify out-of-band with a short human receipt

3) Bootstrap discipline

Keep always-injected files short and load-bearing only. Move long runbooks into references/ or adjacent notes.

4) Ambient specialist surface reduction

A common hidden tax is too many always-visible specialist skills. If a workflow is low-frequency or specialist:

  • prefer on-demand worker/subagent usage,
  • do not keep it permanently ambient in main-chat prompt surface.

5) Measure optimizations authoritatively

Prefer fresh-session /context json or equivalent receipts over “feels better”. High-signal fields include:

  • eligible skills
  • skills.promptChars
  • projectContextChars
  • systemPrompt.chars
  • promptTokens

6) Verification-first ops hygiene

After any approved optimization, verify:

  • core chat still works
  • recall/behavior did not degrade
  • new session actually picks up the change
  • rollback path is proven, not theoretical

Workflow (concise)

  1. Audit rules + memory: keep restart-critical facts only.
  2. Audit skill surface: trim ambient specialists before touching tool surface.
  3. Audit transcripts/noise: silence cron and heartbeat success paths.
  4. Audit model routing and delegation posture.
  5. Recommend the smallest viable change first.
  6. Verify on a new session when skill/bootstrap snapshotting exists.

Notes

  • Some runtimes snapshot skills/config per session. If you install/update skills and do not see changes, start a new session.
  • Prefer short SKILL.md + references/ for long runbooks.
  • If context bloat is the main complaint, pair this skill with context-clean-up (audit-only).

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

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Free

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