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API cost & performance scanner — identify expensive operations and optimization opportunities
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | optimize |
| description | API cost & performance scanner — identify expensive operations and optimization opportunities |
| argument-hint | Optional focus area (e.g., "ai", "caching", "queries", "latency") |
You are scanning this project's API and infrastructure for cost and performance optimization opportunities.
!sh .adlc/partials/ethos-include.sh 2>/dev/null || sh ~/.claude/skills/partials/ethos-include.sh
cat .adlc/context/architecture.md 2>/dev/null || echo "No architecture context found"cat .adlc/context/project-overview.md 2>/dev/null || echo "No project overview found"Focus: $ARGUMENTS
Before proceeding, verify that .adlc/context/architecture.md and .adlc/context/project-overview.md exist. If any of these files are missing, stop and tell the user: "The .adlc/ structure hasn't been initialized. Run /init first to set up the project context."
.adlc/context/architecture.md for current caching and optimization patternsLaunch 3 formal scanner agents in parallel using the Agent tool. Each agent is defined in ~/.claude/agents/ with its full scanning checklist and model selection (sonnet for deep analysis).
Each agent returns structured findings with estimated impact, effort, and risk.
| Service | Est. Monthly Usage | Est. Monthly Cost | Top Optimization |
|---|---|---|---|
| Claude Sonnet | X calls | $X | ... |
| Claude Haiku | X calls | $X | ... |
| Gemini Flash | X calls | $X | ... |
| SerpAPI | X calls | $X | ... |
| Firestore | X reads/writes | $X | ... |
| GCS | X operations | $X | ... |
Rank endpoints by estimated latency, highlighting:
For each opportunity:
/spec)Parallel pipeline orchestrator — launch multiple /proceed sessions concurrently across REQs, monitor progress, and report status. Use when the user says "sprint", "run these REQs in parallel", "proceed with all approved REQs", "launch a sprint", or wants to advance multiple requirements simultaneously.
Codebase health audit — identify technical debt, quality issues, and improvement opportunities
End-to-end ADLC pipeline that takes a requirement from spec through to deployed. Takes a REQ number as argument and runs validate → fix → architect → fix → implement → verify (reflect + review) → create PR → wrapup (merge, deploy, knowledge capture). Use when the user says "proceed", "proceed with REQ-xxx", "run the pipeline", "take REQ-xxx to completion", "implement REQ-xxx end to end", or wants to advance a drafted requirement all the way through to deployment in one shot.
Write requirement specs from feature requests
Close out a completed feature — update ADLC artifacts, log knowledge, and summarize
Bootstrap .adlc/ structure in a new repo or subdirectory