optimize
Skill173 starsChanged 12 days agoMITView on GitHub
API cost & performance scanner — identify expensive operations and optimization opportunities
76 other projects use a version of this.
Adopted by
Most recently taken up by
- ansvisor/ansvisortheir own version, first seen Nov 8, 2026
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tooltheir own version, first seen Nov 8, 2026
- Mrbaeksang/skillstheir own version, first seen Nov 8, 2026
- cihantopac/searvextheir own version, first seen Nov 8, 2026
- daintreehq/daintreetheir own version, first seen Nov 5, 2026
- theexperiencecompany/gaiatheir own version, first seen Nov 3, 2026
Used with
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Other versions76 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 76
- Z3Prover/z3★ 13ksame name
- highcharts/highcharts★ 13ksame name
- whitecircle/halo★ 851same name
- hacan359/tonkatsu_box★ 597same name
- talesofai/cohub★ 585same name
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool★ 432same name
- nexmoe/DayBee★ 424same name
- nexmoe/eve★ 424same name
- Southclaws/storyden★ 348same name
- 10xChengTu/Mux0★ 337same name
66 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 3 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 73 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 17
Run this block first, with your shell tool, and read its output before you continue.
- Very specific: line 33
Before proceeding, verify that .adlc/context/architecture.md and .adlc/context/project-overview.md exist.
- Distinctive: line 38
If given a focus area, prioritize that dimension
- Distinctive: line 39
If no argument, scan all dimensions
- Very specific: line 40
Read .adlc/context/architecture.md for current caching and optimization patterns
“Common” is measured: kept by at least 6 in 10 of the 73 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/optimize — API Cost & Performance Scanner
You are scanning this project's API and infrastructure for cost and performance optimization opportunities.
Ethos
!test -s .adlc/ETHOS.md && cat .adlc/ETHOS.md || echo No ethos found — run /init, or /adlc:init on the plugin install, to vendor .adlc/ETHOS.md
Context
Run this block first, with your shell tool, and read its output before you continue. Each read prints a notice instead of failing when its file is absent.
# adlc-context
echo '--- Architecture'
cat .adlc/context/architecture.md 2>/dev/null || echo 'No architecture context found'
echo '--- Project overview'
cat .adlc/context/project-overview.md 2>/dev/null || echo 'No project overview found'Input
The focus is the argument: whatever follows /optimize in the invocation (on Claude Code it can also arrive as an ARGUMENTS: line appended to this text), a dimension or an area. With none, Step 1 scans all dimensions.
Prerequisites
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 (/adlc:init on the plugin install) first to set up the project context."
Instructions
Step 1: Determine Focus
- If given a focus area, prioritize that dimension
- If no argument, scan all dimensions
- Read
.adlc/context/architecture.mdfor current caching and optimization patterns
Step 2: Launch Scanner Agents
Launch 3 formal scanner agents in parallel using the Agent tool. Each agent is defined in $ADLC_TOOLKIT_ROOT/agents/ with its full scanning checklist and model selection (sonnet for deep analysis).
If this harness can run subagents, dispatch these agents in parallel; if it cannot, or you are a subagent, run each checklist inline from .adlc/agents/<name>.md. Agent names are bare on the symlink install and adlc:-prefixed on the plugin install (adlc:<name>): before dispatching, check which form the Agent tool lists and use that one, and do not wait for an error, because a name it does not list can silently run a generic agent without the checklist; if neither form is listed, say which agent is missing and run its checklist inline. When .adlc/agents/ is absent, say that /init (/adlc:init on the plugin install) vendors it, then read $ADLC_TOOLKIT_ROOT/agents/<name>.md (the toolkit root is the parent of this skill's base directory) where your file tool can reach it; never improvise a checklist. An inline run of a review or audit agent is read-only: report findings, apply no fixes, and run no test runner, build tool, package manager or interpreter.
- api-cost-scanner agent — provide the focus scope and architecture.md for caching context
- db-perf-scanner agent — provide the focus scope
- latency-scanner agent — provide the focus scope
Each agent returns structured findings with estimated impact, effort, and risk.
Step 3: Build Optimization Report
Cost Summary
| 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 | ... |
Performance Hotspots
Rank endpoints by estimated latency, highlighting:
- Sequential operations that could be parallel
- Missing caches
- N+1 query patterns
- Unnecessary data fetching
Optimization Opportunities
For each opportunity:
- What: Description of the optimization
- Impact: Cost savings or latency reduction estimate
- Effort: Small / Medium / Large
- Risk: Low / Medium / High (chance of breaking something)
Step 4: Prioritized Recommendations
- Rank optimizations by impact/effort ratio
- Group into quick wins (small effort, high impact) and strategic improvements
- Suggest which items warrant a full ADLC requirement (candidates for
/spec)
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