Corrects outdated LLM knowledge about the Vercel platform and introduces new products. Injected at session start.
- Costo de contexto al activarse
- 1.8k tok
- Tamaño del paquete
- 1 archivo
- Última actualización
- hace 14 días
Audit vercel-plugin performance on real-world projects. Extracts tool calls from Claude Code conversation logs, tests hook matching against actual inputs, identifies pattern coverage gaps, and checks plugin cache staleness. Use when asked to audit, test, or investigate plugin skill injection on a real project.
en todo el repo
0–100, la ruta de este skill
último commit aquí
últimos 90 días
78 tok en reposo
11 KB
Funciona con cualquier agente que lea SKILL.md
npx -y skills add vercel/vercel-plugin --skill plugin-audit --agent claude-codeSe instala solo en este repositorio.
Audit how well vercel-plugin skill injection performs on real-world Claude Code sessions.
Find JSONL conversation logs for a target project:
ls -lt ~/.claude/projects/-Users-*-<project-name>/*.jsonl
The path uses the project's absolute path with slashes replaced by hyphens and a leading hyphen.
Parse the JSONL log to extract all tool_use entries. Each line is a JSON object with message.content[] containing type: "tool_use" blocks. Extract name and input fields. Group by tool type (Bash, Read, Write, Edit).
Use the exported pipeline functions directly — do NOT shell out to the hook script for each test. Import from the hooks directory:
import { loadSkills, matchSkills } from "./hooks/pretooluse-skill-inject.mjs";
import { createLogger } from "./hooks/logger.mjs";
Call loadSkills() once, then matchSkills(toolName, toolInput, compiledSkills) for each tool call. This is fast and gives exact match results.
Compare matched skills against what SHOULD have matched based on the project's technology stack. Common gap categories:
src/db/schema.ts not matching vercel-storage)Compare the installed plugin cache against the dev version:
# Cache location
~/.claude/plugins/cache/vercel-labs-vercel-plugin/vercel-plugin/<version>/
# Compare skill content
diff <(grep 'pattern' skills/<skill>/SKILL.md) <(grep 'pattern' ~/.claude/plugins/cache/.../skills/<skill>/SKILL.md)
Check ~/.claude/plugins/installed_plugins.json for version and git SHA.
Produce a structured report with:
Reproducido de vercel/vercel-plugin bajo licencia NOASSERTION. Leer esta página en markdown.
3 archivos en el paquete. Solo se lee SKILL.md al activarse — las referencias se cargan si el skill decide que las necesita.
Este repo incluye 43 skills. Si instalas uno, normalmente ya tienes los demás.
Corrects outdated LLM knowledge about the Vercel platform and introduces new products. Injected at session start.
Vercel Connect expert guidance — securely obtain scoped OAuth tokens for third-party services (Slack, GitHub, MCP servers, OAuth, Snowflake) on behalf of apps or users via Vercel OIDC. Use when wiring up third-party API access, connecting to MCP servers, sending Slack messages, accessing GitHub APIs, receiving webhook events from Slack/Linear/GitHub and forwarding them to your agents and apps, or building eve agent connections.
Debug Vercel CDN caching — cache hit rate, stale content, revalidation behavior, ISR + PPR, per-request cache reasons (cacheReason) and PPR state (ppr_state), and costs.
Vercel Functions expert guidance — Serverless Functions, Edge Functions, Fluid Compute, streaming, Cron Jobs, and runtime configuration. Use when configuring, debugging, or optimizing server-side code running on Vercel.
Backend architecture guidance. Use when planning, building, or migrating an API or backend; choosing between Functions, Services, containers, Workflow, Queues, and Marketplace databases; or selecting a supported backend framework or runtime.
eve framework guidance for durable AI agents and agent-powered applications. Use when creating, editing, or debugging an eve project, when the user explicitly asks for eve, or when the build-agents skill has selected eve as the default framework. Covers eve's filesystem-first runtime, durable sessions, tools, skills, connections, channels, sandboxes, subagents, schedules, evals, frontend clients, and Agent Runs observability. Do not use for incidental agent mentions, generic agent-building prompts, or established non-eve stacks unless the user asks for comparison or migration.
Advanced AI agent benchmark scenarios that push Vercel's cutting-edge platform features — Workflow SDK, AI Gateway, MCP, Chat SDK, Queues, Flags, Sandbox, and multi-agent orchestration. Designed to stress-test skill injection for complex, multi-system builds.
End-to-end benchmark suite for vercel-plugin. Runs realistic projects through skill injection, launches dev servers, verifies everything works, analyzes conversation logs, and produces an improvement report for overnight self-improvement loops.
Run live eval sessions against the vercel-plugin to verify hook behavior, skill injection, dedup correctness, and coverage. Launches real Claude Code sessions via WezTerm, monitors debug logs, and produces a structured coverage report.