AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Vercel Optimize is a structured workflow designed to perform data-driven audits of Vercel-deployed projects. It prioritizes production metrics over static code analysis, ensuring that recommendations are grounded in real-world performance data. The tool integrates with the Vercel CLI to collect usage, metrics, and configuration data, which it then correlates with codebase scans to identify specific optimization candidates. It supports Next.js, SvelteKit, and Nuxt, with limited support for Astro, and enforces a strict, deterministic investigation process to ensure recommendations are accurate, version-aware, and actionable.
What it does
- Collects and merges Vercel production metrics with local codebase scans.
- Uses deterministic gates to identify high-impact performance and cost candidates.
- Performs deep-dive investigations into specific routes, files, or project settings.
- Verifies recommendations against framework-specific documentation and version constraints.
- Generates a ranked report of actionable optimizations.
- Provides a structured, repeatable pipeline for continuous performance improvement.
When to use it
- When you need to reduce Vercel bill costs related to function invocations or build minutes.
- When investigating slow or expensive routes in your application.
- When optimizing for Core Web Vitals or improving cache hit rates.
- When you need a data-backed audit of project configurations and deployment settings.
Advantages
- Reduces noise by focusing only on metric-backed candidates.
- Ensures recommendations are relevant to your specific framework version.
- Prevents speculative optimizations by requiring evidence from production signals.
- Provides a clear, step-by-step audit trail for every recommendation.
Usage examples
- “Run a Vercel optimization audit on this project.”
- The agent will initiate the collection of metrics and usage data, scan the codebase, and generate a report of ranked optimization candidates based on your project's actual traffic.
- “Why is my Vercel bill so high for function invocations?”
- The agent will analyze your function invocation metrics and identify specific routes or patterns that are driving costs, providing recommendations to optimize those areas.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/vercel-labs/vercel-optimize/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip vercel-optimize.zip -d .agents/skills
Documentation by Vercel
Vercel Optimize
Run an observability-first Vercel optimization audit. Do not inspect source files until signals.json exists and a deterministic gate points to a route, file, or project setting.
Core doctrine: read references/doctrine.md if any rule is unclear.
Metrics first. Recommendations start from Vercel production signals, not repo-wide grep.
Deterministic gates.
scripts/gate-investigations.mjsdecides what deserves investigation.Candidate-bound scope. Read only files named by a candidate or a route-local import chain.
Version-aware citations. Use only
references/docs-library.json; invalid or version-mismatched citations are stripped.Customer copy. Read references/voice.md before writing report text or chat output.
Prerequisites
Vercel CLI v53+ with
vercel metrics,vercel usage,vercel contract, andvercel api.Authenticated CLI session:
vercel login.Linked app directory:
vercel link.VERCEL_PROJECT_IDcan help resolve project config, butvercel metricsstill requires directory linkage. The link or environment must include the intended project org/team/user scope so the collector can resolve a CLI-safe--scopeand keepvercel metrics,vercel usage, andvercel contracton the same account.Node.js 20+.
Observability Plus for route-level metric-backed recommendations.
Never put auth tokens in shell commands. Do not type VERCEL_TOKEN=..., --token ..., or Authorization: Bearer ... into commands that may be echoed in chat.
Framework Support
The preflight reads package.json and sets expectations before metric fan-out.
| Framework | Status | Notes |
|---|---|---|
| Next.js App Router | supported | strongest route mapping, scanners, playbooks, citations |
| Next.js Pages Router | supported | scoped to Pages Router idioms when detected |
| SvelteKit | supported | route mapping for src/routes files and SvelteKit scanner |
| Nuxt | supported | route mapping plus generic/platform checks; fewer framework-specific recs |
| Astro | limited | route mapping plus generic checks; fewer framework-specific recs |
| Hono / Remix / unknown | blocked by default | continue only if the user accepts a limited platform/code-only audit |
If unsupported, stop and ask before scanning or gating:
This project uses <framework>. Vercel Optimize supports metric-backed code recommendations for Next.js, SvelteKit, and Nuxt. Astro support is limited. For <framework>, I can still run a limited platform/scanner audit, but route-level Vercel metrics may not map back to source files.
Do you want me to continue with the limited audit, or stop here?If the user continues, rerun collection with --continue-unsupported-framework.
Run Directory
Use a fresh run directory for every audit. Do not reuse briefs, sub-agent outputs, or reports across runs.
RUN_DIR="$(mktemp -d -t vercel-optimize-XXXXXX)"Pipeline
1. Collect, scan, and merge signals
Run from the linked app directory or pass --cwd where a script supports it. Keep stdout JSON separate from stderr logs. Do not combine streams.
node scripts/collect-signals.mjs [projectId] > "$RUN_DIR/vercel-signals.json" 2> "$RUN_DIR/collect.stderr"
node -e 'JSON.parse(require("fs").readFileSync(process.argv[1], "utf8"))' "$RUN_DIR/vercel-signals.json"
node scripts/scan-codebase.mjs <repo-root> > "$RUN_DIR/codebase.json"
node scripts/merge-signals.mjs "$RUN_DIR/vercel-signals.json" "$RUN_DIR/codebase.json" --out "$RUN_DIR/signals.json"Collection details, schemas, metric IDs, and degradation behavior live in references/data-collection.md. The metric registry is lib/queries.mjs; keep all queries on the shared 14-day window.
collect-signals.mjs resolves the linked project owner to commandScope.cliScope and verifies that the resolved account can read the resolved project before it checks Observability Plus. Downstream scripts reuse that scope for every Vercel CLI command that accepts --scope. Do not run vercel usage, vercel metrics, or vercel contract manually without the same scope; unscoped usage can report the user's personal organization while route metrics come from the team project.
If project or scope resolution is ambiguous, stop and ask the user which Vercel project and team/personal scope they want audited. Do not infer the intended scope from the current vercel whoami team, and do not proceed with metrics, usage, or contract collection until the link, an exact project match in .vercel/repo.json, or VERCEL_PROJECT_ID + VERCEL_ORG_ID identifies the intended account.
Use this prompt for PROJECT_SCOPE_UNRESOLVED, SCOPE_UNRESOLVED, or PROJECT_SCOPE_MISMATCH:
I can't safely identify the Vercel project and account for this audit yet.
Please confirm the Vercel project name or ID and the team slug/name, or tell me it's under your personal account. Once confirmed, I'll relink or rerun collection against that exact scope before checking metrics.1.1 Stop on blockers
Check blockers before gating:
jq '{frameworkSupportBlocker, observabilityPlus, observabilityPlusUsable, observabilityPlusBlocker, observabilityPlusBlockerDetail}' "$RUN_DIR/signals.json"Required actions:
frameworkSupportBlocker === "unsupported_framework": use the unsupported-framework prompt above.PROJECT_SCOPE_UNRESOLVED,SCOPE_UNRESOLVED, orPROJECT_SCOPE_MISMATCH: stop and ask which Vercel project and team/personal scope the user wants audited. For team projects, rerun aftervercel link --yes --project <project-name-or-id> --team <team-slug>; for personal projects, rerun after linking under the intended user account or after setting bothVERCEL_PROJECT_IDandVERCEL_ORG_ID.observabilityPlusBlocker === null: continue.no_traffic: tell the user route metrics are sparse; continue only if they accept limited output.payment_requiredorno_oplus_probe: render references/observability-plus.md verbatim and ask.project_disabled: tell the user to enable Observability Plus for the project or accept a limited audit.daily_quota_exceeded: stop and tell the user the Observability query quota is exhausted; retry after the next UTC midnight reset, or ask whether to continue with a limited code-only audit.not_linked: link the app directory, then rerun Step 1. If app path and project are known:
vercel link --yes --project <project-name-or-id> --cwd <app-dir>
# add --team <team-id-or-slug> when knownforbiddenorproject_not_found: fix auth/team scope. Do not pitch Observability Plus.all_failed_other: show the raw error code and ask whether to continue in limited code-only mode.
Do not silently fall back to code-only mode. If the user accepts a limited audit, rerun collection with:
node scripts/collect-signals.mjs [projectId] --continue-without-observability > "$RUN_DIR/vercel-signals.json" 2> "$RUN_DIR/collect.stderr"Then scan and merge again.
2. Gate candidates
node scripts/gate-investigations.mjs "$RUN_DIR/signals.json" > "$RUN_DIR/gate.json"Output shape:
toLaunch: code-scope candidates to investigate.platform: project/account-scope recommendations.gated: skipped, covered, or disqualified candidates that must still appear in the report.budget: candidate budget and selection mode.
Default budget is 6 code-scope candidates with a diversity guardrail. To expand:
node scripts/gate-investigations.mjs "$RUN_DIR/signals.json" --max-candidates 12 > "$RUN_DIR/gate.json"
node scripts/gate-investigations.mjs "$RUN_DIR/signals.json" --max-candidates all > "$RUN_DIR/gate.json"Generated candidate docs: references/candidates.md.
2.1 Ask about audit scope when needed
Before deep-dive, run:
node scripts/budget-summary.mjs "$RUN_DIR/gate.json" --format json > "$RUN_DIR/budget-summary.json"If shouldAsk is false, continue.
If shouldAsk is true:
Print
exactChatMessage.bodyexactly as returned. Do not summarize, truncate, reorder, or rewrite it.Then ask
questionTextusingquestionPayloadwhen the host supports structured questions.If the user chooses a different number, rerun the gate with
--max-candidates <choice>.
Never put the long preview inside the question field. The preview and the question are separate surfaces.
2.2 Deep-dive and reconcile
node scripts/deep-dive.mjs "$RUN_DIR/signals.json" "$RUN_DIR/gate.json" --cwd <project-dir> > "$RUN_DIR/investigation-evidence.json"
node scripts/reconcile-candidates.mjs "$RUN_DIR/investigation-evidence.json" \
--gate "$RUN_DIR/gate.json" \
--out "$RUN_DIR/reconciled-investigation.json"--cwd must be the linked project directory so deep-dive.mjs can verify the same project link and reuse signals.json.commandScope.cliScope for any follow-up vercel metrics calls.
Reconciliation deterministically converts disproven candidates into observations before any source investigation:
metric_mismatcherror_stormdeployment_regressionscanner_only_no_metric
2.3 Generate briefs and investigate
List the work:
node scripts/prepare-investigation-brief.mjs "$RUN_DIR/signals.json" "$RUN_DIR/reconciled-investigation.json" --list > "$RUN_DIR/briefs-manifest.json"Generate one brief for every entry in briefs-manifest.json.briefs. The group can be toLaunch or platform; do not generate only toLaunch briefs.
mkdir -p "$RUN_DIR/briefs" "$RUN_DIR/sub-agent-outputs"
node scripts/prepare-investigation-brief.mjs "$RUN_DIR/signals.json" "$RUN_DIR/reconciled-investigation.json" \
--group <brief.group> --index <brief.index> --out "$RUN_DIR/briefs/<brief.group>-<brief.index>.md"Use briefs-manifest.json.briefs[].label for visible worker names, for example Low cache-hit route on /docs/llm-digest/[...slug], not toLaunch-7.
Fan-out rule:
1-2 briefs: investigate inline.
3+ briefs: spawn one sub-agent per brief when the host supports it.
Hosts without sub-agents: run inline serially.
Sub-agent contract:
The brief is the whole prompt.
Read only files listed in the brief, plus route-local imports when needed.
Emit one JSON recommendation or one JSON no-change finding using references/recommendations.md.
Do not cite URLs outside the provided citation subset.
Do not recommend framework features unavailable in the detected version.
If a sub-agent reaches for repo-wide grep, the candidate is malformed; drop or abstain rather than widening scope.
2.4 Collect outputs
Save each raw investigation result in $RUN_DIR/sub-agent-outputs/, then collect:
node scripts/collect-sub-agent-outputs.mjs \
--manifest "$RUN_DIR/briefs-manifest.json" \
--out "$RUN_DIR/recommendations.json" \
"$RUN_DIR/sub-agent-outputs/"The collector extracts JSON, prepends pre-resolved records, enforces manifest order, and fails on missing, duplicate, unknown, or mismatched candidateRef values.
3. Verify recommendations
node scripts/verify-and-regen.mjs "$RUN_DIR/recommendations.json" \
--signals "$RUN_DIR/signals.json" \
--repo-root <project-dir> \
--out "$RUN_DIR/verify.json"This script extracts claims, verifies files/citations/version fit, grades quality, applies sanitizers, emits verifiedRecommendations, withheldRecommendations, renderableRecommendations, and creates regenPlan for failed or unsafe recommendations.
Recommendation schema, writing rules, sanitizer order, and grading rules: references/recommendations.md. Verification rules: references/verification.md.
For each regenPlan entry, rerun the same brief with a Previous attempt failed these checks section listing topFailures. Keep the regenerated output only if verification improves without gutting citations.
4. Render report and final message
node scripts/render-report.mjs "$RUN_DIR/verify.json" "$RUN_DIR/gate.json" "$RUN_DIR/signals.json" \
--project <name> \
--out "$RUN_DIR/report.md" \
--message-out "$RUN_DIR/final-message.json"Use --debug-out "$RUN_DIR/debug.json" only when developing the skill. Customer Markdown and chat output must not expose passRate, quality, sanitizer trails, raw sub-agent names, or other implementation fields.
After rendering, print final-message.json.body verbatim and stop. Do not add highlights, debug notes, raw counts, sub-agent summaries, or extra explanation. Render-time dedupe, platform caps, and hard-safety drops can change the customer-visible count, so never summarize from raw verify.json.
Report structure and impact framing: references/scoring.md.
Recommendation Rules
Every recommendation must:
Trace to a launched candidate, platform candidate, pre-resolved observation, or verified traffic-independent scanner finding.
Include observed metric evidence from
signals.jsonorevidence.deepDive.Cite verified files with line numbers when code is involved.
Include at least one allowed citation that applies to the detected framework/version.
Use precise observed performance numbers.
Use cost magnitude phrases only; never customer-facing
$Nsavings.Do not recommend duration reductions for Vercel Workflow runtime endpoints (
/.well-known/workflow/v1/*). These are generated orchestration routes for durable step/flow execution and should be hard-gated before investigation.Workflow recommendations must name the boundary being changed. Valid examples: enqueue durable work and return a run ID instead of awaiting completion, fix stream replay/closure/locks, or reduce verified excess Workflow Steps/Storage. Do not infer cost savings from Workflow endpoint wall-clock duration.
For streaming, SSE, resumable chat, or other intentionally long-lived routes, do not frame wall-clock function duration as a problem by itself. Require evidence of avoidable pre-first-byte work, high active CPU, duplicate invocations, or post-response work that can move out of the user-visible path.
Name a specific cache policy when recommending caching.
Keep unsafe responses dynamic unless evidence proves they are safe to cache: auth-sensitive paths, errors, fallback responses, missing content, invalid requests, geolocation/device-varying output, and unversioned dynamic URLs.
Never recommend "verify X is on" for facts already present in signals.project, including Fluid compute status, memory tier, regions, in-function concurrency, and timeout.
Scanner Rules
Scanner findings are supplementary. Drop findings annotated COLD-PATH or NO-ROUTE-MAPPING unless the scanner declares metadata.trafficIndependent === true.
Traffic-independent examples: middleware matcher, source maps, React Compiler config, build settings. Route-local cache or data-fetch patterns need route-level traffic evidence.
Scanner docs: references/scanner-patterns.md.
Final Customer Terms
Use:
recommendations readyobservations from investigationinvestigated, no change recommendednot investigated in this run
Avoid:
sub-agentabstentionpassRatequality scoregateLLM
Failure Copy
Use these messages without adding sales copy or process detail.
No traffic in the last 14 days:
This project has no meaningful traffic in the last 14 days, so route-level metrics are sparse. I can still check traffic-independent scanner findings and project settings, but I cannot rank route fixes until traffic accumulates.
Route-level metrics unavailable:
Use the verbatim choice template in references/observability-plus.md. Do not silently fall back to code-only mode; present the two-path choice: enable Observability Plus and rerun the metric-backed audit, or accept a limited code-only run.
Project is not linked:
This worktree is not linked to a Vercel project. Run
vercel link --yes --project <project-name-or-id> --cwd <app-dir>and rerun the audit. If the team is known, add--team <team-id-or-slug>.
Most route-to-file mappings failed:
The route inventory matched fewer than half of the routes we saw in observability. This is common in monorepos with custom routing. I've surfaced what I can match; the rest appear in the "Not investigated in this run" section.
Files
- AGENTS.md1.9 KiB
- ATTRIBUTION.mdAdded by AutoGineer848 B
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- references/support-topics/workflow-resumable-stream-routes.md1.2 KiB
- references/verification.md8.8 KiB
- references/voice.md3.6 KiB
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- scripts/build-docs.mjs3.3 KiB
- scripts/check-citations.mjs3.4 KiB
- scripts/check-docs-fresh.mjs3.8 KiB
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references/doctrine.md
Doctrine
The four non-negotiable rules that shape every action this skill takes. If a future change conflicts with one of these, the change is wrong.
Rule 1: Observability before investigation
The skill never reads a source file without an observability signal pointing at it. Step 1 (node scripts/collect-signals.mjs) is always first. Nothing reads source code until signals.json exists.
Why this fails when skipped: without metrics, the skill defaults to "grep the repo for known anti-patterns and complain." That produces noisy, low-impact recs that aren't tied to traffic, cost, or user pain. Metrics-first investigation keeps the skill focused on observed traffic, cost, and reliability signals.
Four-check first-pass (Enterprise)
When plan === 'enterprise', the gate run must surface these four checks before code-level recommendations. Field engineers confirm these are the highest-leverage account-level levers across every renewal audit:
Observability Plus enabled? From
signals.observabilityPlus. If false, the whole audit degrades; surface as a top-of-report item.Reverse proxy in front? Heuristic from response headers / CNAME chain (when collected). A non-Vercel CDN over Vercel ISR is usually a "dumb pipe" — wasted spend.
WAF rules enabled? From
signals.project.security. BotID + managed rules absent on a project with bot evidence is the most common cost spike.ISR read:write ratio. From
metrics.isrReadsByRoute+metrics.isrWritesByRoute. Include CDN-tier reads (see data-collection.md) before flagging "writes > reads."
These checks anchor the Enterprise-tier report's opening narrative; code-level recs follow.
Rule 2: Deterministic gate before every sub-agent investigation
node scripts/gate-investigations.mjs is a pure-JS, LLM-free function. It reads signals.json and outputs {toLaunch, platform, gated}. Same input always produces byte-identical output (modulo appliedAt).
Every kind of candidate (uncached route, slow route, errors, cold starts, scanner findings, platform-level recs) has its threshold expression encoded as a gate(signals) → Candidate[] function in lib/gates/<kind>.mjs.
Failed gates surface in the final report, under "Not investigated in this run," with the exact reason they were held back. This is the user-facing trust mechanism: you see what we considered and chose to skip, and the reason.
Why this matters: the agent never decides "should I look at this route?" via LLM judgment. The threshold is mechanical. This eliminates the entire failure mode where the agent investigates routes it shouldn't (cold-path) and recommends fixes for routes that don't need them.
Rule 3: Candidate-bound investigation scope
When the gate emits a candidate with files: ['src/app/api/products/route.ts'], the agent reads ONLY that file (and its imports as the chain unfolds). It does NOT grep -r across the repo.
If you find yourself wanting to grep the whole codebase, stop and re-read the current candidate's question field. If the question doesn't constrain the search, the candidate is malformed — log it as gated and skip. Do NOT compensate with a wider search.
Why this matters: the agent's job is to verify and explain the metric anomaly the gate found, not to do a general code review. Wandering investigations produce drift, hallucination, and recommendations untied to the cost and performance data.
Scanner findings (the supplementary signal)
Static AST-grep scanners run in parallel with the metric-driven investigations. Their output is annotated with the per-file observability signal (function invocations: 1.2M; 95th percentile duration: 850ms; cache hit rate: 0% if the file maps to a hot route, COLD-PATH if it maps to a route with no traffic, NO-ROUTE-MAPPING if the file doesn't map to any route).
Default rule: scanner findings on COLD-PATH or NO-ROUTE-MAPPING files are dropped. They become recs only if the pattern is traffic-independent: build configuration, middleware matcher, source maps in production, raw script tags, React Compiler config. These don't care about traffic — they affect every request equally or affect the build itself.
The traffic-independent allow-list lives in each scanner's metadata.trafficIndependent: boolean field. Set it to true only when you can defend the claim.
Rule 4: Doc-grounded, version-aware recommendations — no hallucinations
Every recommendation must carry at least one citation from references/docs-library.json. Anything else is dropped at sanitizer time.
The library has two parts:
URLs — Vercel docs, Next.js docs, SvelteKit docs, etc. Each declares
applicableFrameworks(e.g.,["next@>=15.0.0"]).Cross-skill rule references — by name only (
vercel-react-best-practices:async-parallel). The agent's host resolves these.
Three sanitizers enforce this:
missing-citation— drops recs with emptycitations[].unknown-citation— strips URLs not in the library, marksneedsReview=true.version-mismatch— strips URLs whoseapplicableFrameworksdoesn't match the project's framework@version (parsed frompackage.json).
Two verifier claim types check it: citation_in_library (URL ∈ allow-list) and citation_applies_to_version (semver match).
Why this matters: LLMs cite plausible-looking URLs that 404, or recommend Next 15 features to Next 13 users. Both are trust-killers. The allow-list closes the first failure mode; the applicableFrameworks field closes the second.
Performance citations cite observed data
Every performance claim cites the actual observability datum from signals.json — e.g., functionRoutes[/api/products].p95Ms=850. Estimated improvements are framed as ranges grounded in the observed baseline: "Reduce /api/products 95th percentile duration from 850ms toward ~250-400ms based on similar cached routes." Never an unanchored claim.
Cost framing is magnitude, never precise
Cost claims like $340/mo are forbidden. The dollar noise floor on projections is too high to justify precision. The impactMagnitude({currentCost, impactTier}) helper maps to phrases like "hundreds of dollars per month at current traffic" (computed against the user's actual vercel usage data).
The $-strip sanitizer enforces this at output time — any $N literal in customer-facing fields is stripped.
Performance numbers stay precise because they're observed, not extrapolated. We trust observed metrics; we don't trust dollar projections.
What good looks like
A good run produces:
A small number (5-15) of recommendations.
Every rec ties to a specific route or file plus a specific metric signal.
Every rec carries before/after code and ≥1 citation matching the user's framework version.
Cost framing uses magnitude phrases. Performance framing uses precise observed numbers.
The "Not investigated in this run" section explains every other signal we saw and why we chose not to dig (cache hit rate was below threshold, 95th percentile duration was already healthy, etc.).
No
$N/mostrings, no fabricated URLs, no Next.js 15 features recommended to a Next.js 13 user.
What bad looks like (anti-patterns we will not ship)
Recommendations from grepping the repo for known anti-patterns, without checking traffic.
"Enable Fluid Compute" without a cold-start signal.
"Add caching to /api/users" when the route has cookies() and is auth-gated.
"Reduce the duration of
/.well-known/workflow/v1/step" because a Workflow step is long-running. Workflow runtime endpoints are generated orchestration routes; high wall-clock duration there is expected unless a separate reliability/error signal points elsewhere."Fix
/api/chat/[id]/streambecause it has high duration" without proving the stream does avoidable pre-first-byte work, high active CPU, duplicate invocations, or movable post-response work."Save $340/mo by doing X" — invented precision.
Citations to URLs that don't exist or that describe Next.js features the user's version doesn't have.
Long lists of recs the user can't act on; every rec needs an evidence chain.
Out of scope
The skill is bounded to runtime cost and performance optimization on Vercel-hosted projects. The following are explicit non-goals; if signals or scanner findings surface in these areas, route them out:
Deployment artifact size in isolation. Bundle size matters only when it shows up as runtime cost (cold start, FDT) or performance (LCP, INP). If the only effect is "the .next directory is large," it's not in scope.
Build-time issues without runtime impact. Slow builds, build-cache misses, monorepo build fan-out — these only enter scope when they show up as Build Minutes billing pressure (then they go through the
build-minutes-fanoutgate). A 6-minute build that completes successfully and ships a small artifact is not a target.Security advisories and credential rotation. RCE in
next-mdx-remote, leaked env vars, OIDC vs explicit-key auth hygiene — refer to a security skill, not this one. Exception: when a security setting is also a documented cost lever (BotID = bot traffic = edge cost), it enters via theplatform_bot_protectiongate.Commercial / billing-process trivia. Discount sliders, seat reconciliation, contract renewal mechanics. The skill can quantify which SKU is expensive; it does not negotiate.
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs Node.js
Security
What our scanner noticed· Low risk
- Instructions that use the network
- Scripts that your agent may run
This skill includes scripts that your agent may run. Read them before you use it.
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- Vercel
- Publisher
- Vercel (Official)
- Source
- vercel-labs/agent-skills · skills/vercel-optimize · commit 1a2c79d
- Licence
- MIT License (redistribution allowed)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Vercel or Vercel.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download vercel-optimize.zip