agentleFS
int2t05int2t05/engineering-skills/skills/05-tune/cost-optimization/SKILL.md

cost-optimization

Skill3 starsChanged 29 days agoMITView on GitHub

Reduce measured cost while preserving required service quality. Triggers on "cost", "成本优化".

19 other projects use a version of this.

Adopted by

Most recently taken up by

The file

Files
SKILL.md

Cost Optimization

When to use

  • Reduce measured cost while preserving required service quality.

Not for: performance for latency; architecture for unbuilt systems.

Steps

  1. Establish comparable billing, workload and service-quality baselines; redact account details.
  2. Attribute dominant controllable costs across actual compute, storage, network, services and model calls.
  3. Compare savings, effort, reliability and recovery; apply the smallest authorized change.
  4. Re-measure under comparable conditions and label observed, estimated and unmeasurable savings.

Output: Suggested paths, subject to human audit: COST.md only for a useful continuing ledger.

Verify

  • Cost comparisons state period and workload; quality regressions and estimated savings are explicit.

References

  • engineering-principles.md — shared decision boundaries, scope and verification.
  • human-audit.md — document consent, readability and human review.
  • references/cost-drivers.md — symptom→cause map for cloud spend: over-provisioning, idle resources, egress, storage lifecycle, reserved-capacity gaps, with per-platform levers

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.