Eval analysis of 9 real sessions showed 10 skills never triggering despite being
requested. Root causes: pathPatterns too narrow (agents write to lib/email-template.tsx
not emails/), promptSignals containing regex instead of plain text (vercel-sandbox),
and missing promptSignals entirely (v0-dev, vercel-firewall).
Skills updated: email, vercel-queues, edge-runtime, vercel-firewall, chat-sdk,
v0-dev, vercel-sandbox. New skill: next-forge (bootstrap detection).
- SubagentStart bootstrap hook injects project context (likely skills, summaries) into spawned subagents
with budget scaling by agent type (minimal for Explore/Plan, standard for general-purpose)
- SubagentStop sync hook writes agent metadata to a session-scoped JSONL ledger for observability
- SessionEnd cleanup extended to remove subagent ledger files
- Updated ai-elements/nextjs skills, benchmark-agents and eval skill definitions
Convert inject-claude-md.sh and session-start-seen-skills.sh to .mts
source with compiled .mjs output. All hooks are now TypeScript.
Update hooks.json to invoke with node instead of bash.
SessionStart now creates a per-session seen-skills text file and exports
VERCEL_PLUGIN_SEEN_SKILLS through CLAUDE_ENV_FILE before PreToolUse runs.
This enables env-file dedup bootstrap without altering existing PreToolUse hook wiring.
Verified: bun test tests/session-start-seen-skills.test.ts
Verified: bun test tests/pretooluse-skill-inject.test.ts -t "hooks.json PreToolUse config"
Swarm-Agent: session-start-hook-bootstrap
Create skills/ai-elements/SKILL.md covering the AI Elements component library — 40+ React components for AI chat UIs (Message, Conversation, Tool, Reasoning, CodeBlock, PromptInput) built as a custom shadcn/ui registry. Document installation via `npx ai-elements`, integration with AI SDK v6 useChat/UIMessage parts, server-side patterns (convertToModelMessages async + toUIMessageStreamResponse), and the DefaultChatTransport client pattern.
Create skills/shadcn/SKILL.md covering shadcn/ui — CLI commands (init, add, build, search, migrate), components.json configuration, namespaced custom registries (@v0, @acme), CSS variable theming with oklch, dark mode setup, the cn() utility, TooltipProvider requirement, RTL support, and framework compatibility (Next.js, Vite, Remix, Astro, Laravel).
Create skills/json-render/SKILL.md covering AI chat response rendering — the UIMessage parts format (text, tool-*, reasoning, step-start), manual rendering patterns for custom chat UIs without AI Elements, ToolResultCard patterns for structured tool output display instead of raw JSON, and the 5 most common v6 rendering mistakes (raw JSON from message.content, tool JSON blobs, convertToModelMessages not awaited, toDataStreamResponse vs toUIMessageStreamResponse, v5 useChat API pattern).
In skills/ai-gateway/SKILL.md, add a full "Authentication (OIDC — Default)" section documenting: VERCEL_OIDC_TOKEN provisioned by `vercel env pull`, @vercel/oidc reading the token automatically, ~24h expiry with re-pull for local dev, auto-refresh on Vercel deployments, AI_GATEWAY_API_KEY as manual alternative, and the auth priority order (API key first, then OIDC fallback).
In skills/ai-sdk/SKILL.md, update the setup section to document OIDC as default auth flow (vercel link → enable gateway → vercel env pull → OIDC token auto-provisioned), rewrite the UI Hooks section with both AI Elements (recommended) and manual rendering patterns showing v6 API changes (DefaultChatTransport, sendMessage, status, message.parts), update Key Patterns to include OIDC, AI Elements, and server-side v6 patterns, and expand the migration section with useChat transport, sendMessage, toUIMessageStreamResponse, and message.parts entries.
In vercel.md ecosystem graph: add AI Elements product entry under AI SDK UI Layer with component list and shadcn dependency, add shadcn/ui product entry under Frameworks with CLI commands and registry system, add OIDC Authentication subsection under AI Gateway with token flow, add AI Elements and custom rendering rows to AI Features decision matrix, update "Build an AI Chatbot" workflow with OIDC steps and AI Elements, add 6 new migration table entries (useChat transport, sendMessage, toUIMessageStreamResponse, message.parts, manual API keys → OIDC), and update AI SDK v6 conventions with OIDC-first auth, AI Elements recommendation, and server/client v6 patterns.
In hooks/skill-map.json, add trigger entries for all 3 new skills: ai-elements (components/ai-elements/**, npx ai-elements, shadcn registry URL patterns), shadcn (components.json, components/ui/**, npx shadcn patterns), json-render (components/chat**, components/message*, chat sidebar patterns).
Run the validator (bun run scripts/validate.ts --coverage skip) to confirm all 8 checks pass with 24 skills, 0 orphans, and all skill-map entries valid.
Addresses a gap where the plugin allowed agents to use direct provider
SDKs (@ai-sdk/anthropic, @ai-sdk/openai) with manual API keys instead
of routing through Vercel AI Gateway, which provides auto-provisioned
credentials, failover, cost tracking, and observability.
Changes:
- PreToolUse hook: add 3 new checks (10-12) for AI Gateway preference,
deprecated generateObject/streamObject, and provider API key env vars
- vercel.md: update AI Features decision matrix to make AI Gateway the
default row, add AI project bootstrap workflow, update Conventions to
lead with gateway-first and vercel-link-first guidance
- ai-sdk SKILL.md: rewrite Installation, add Setup for AI Projects
section, update all code examples to use gateway() instead of direct
provider imports, update Key Patterns to prioritize gateway
melkeydev