Instead of injecting the full SKILL.md body as additionalContext, inject
"You must run the Skill(<name>) tool." — a more conventional way of
telling the agent to use the Skill tool for context loading.
- Add greenfield project detection to session-start profiler
- Add profiler boost (+5 priority) for likely skills in PreToolUse
- Remove zzz-test-redos-pattern test skill
- Update golden fixtures and snapshots
- Add agent-browser to ecosystem graph
- Add new golden fixture tests
Update build-manifest.ts to include bodyPath in each skill manifest entry pointing to the SKILL.md file. Update all SKILL.md frontmatter across all skills to ensure consistent formatting. Add vercel-config.mjs improvements for key-aware skill routing.
Add tests/build-skill-map.test.ts for skill map construction. Add golden fixture JSON files (golden-bash-cap-collision, golden-bash-next-dev, golden-edit-middleware, golden-read-env-local, golden-read-vercel-json, golden-vercel-json-crons, golden-vercel-json-rewrites) for deterministic match engine validation. Add tests/fuzz-glob.test.ts and tests/fuzz-yaml.test.ts for property-based testing of the glob-to-regex and YAML parsers.
Update snapshot files for injection output. Update validate.ts and validate.test.ts with command convention checks. Update HOOKS.md documentation. Update pretooluse-skill-inject.mjs, skill-map-frontmatter.mjs, and vercel-config.mjs hook modules. Bump plugin.json version from 0.2.0 to 0.3.0.
Extract glob-to-regex and seen-skills file utilities into hooks/patterns.mjs
for reuse across the PreToolUse hook and validation script. Add
validateSkillMap to skill-map-frontmatter.mjs. Expand plugin tags for
chat-sdk/bot variants. Comprehensive tests for all new modules.
Replace centralized skill-map.json with frontmatter-based triggers in
each SKILL.md. Add hooks/skill-map-frontmatter.mjs to parse triggers
at runtime. Update validation, tests, and hook logic accordingly.
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.
The ecosystem graph now lives at vercel.md (root). Remove the redundant
assets/ directory and update all references in the validator, tests, and
README.
generateObject and streamObject are deprecated in AI SDK v6. Replace all
usage and documentation with generateText/streamText + Output.object().
Also:
- Expand migration tables with CoreMessage, Experimental_Agent deprecations
- Simplify validator to check metadata only (components discovered from dirs)
- Add date to vercel.md header
Rules (.mdc files) aren't supported by Claude Code's plugin system — they
were silently ignored. Move the ecosystem knowledge graph and all three
convention sets (Next.js 16, AI SDK v6, Vercel platform) into CLAUDE.md
so they're always loaded into context.
Also updates repo references from anthropics/open-plugin to
vercel-labs/vercel-plugin.
Add bun test suite with validate.test.ts, coverage-baseline.ts for
llms.txt gap analysis, orphan-skill detection in validate.ts, structured
JSON output with --format json, and per-check timing metrics.
MelkeyDev