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Found 610 Skills
Builds and debugs Letta Code channels, including first-party channel adapters and dynamic user channel plugins under ~/.letta/channels. Use when adding Telegram, WhatsApp, Bluesky, Slack, Discord, or custom channel support; testing channel routing, pairing, MessageChannel, runtime dependencies, or channel plugin manifests.
Use when creating Nuxt modules: (1) Published npm modules (@nuxtjs/, nuxt-), (2) Local project modules (modules/ directory), (3) Runtime extensions (components, composables, plugins), (4) Server extensions (API routes, middleware), (5) Releasing/publishing modules to npm, (6) Setting up CI/CD workflows for modules. Provides defineNuxtModule patterns, Kit utilities, hooks, E2E testing, and release automation.
Python data validation using type hints and runtime type checking with Pydantic v2's Rust-powered core for high-performance validation in FastAPI, Django, and configuration management.
Bridge between OpenWork UI and OpenCode runtime
Amazon Bedrock AgentCore platform for building, deploying, and operating production AI agents. Covers Runtime, Gateway, Browser, Code Interpreter, and Identity services. Use when building Bedrock agents, deploying AI agents to production, or integrating with AgentCore services.
This skill provides comprehensive knowledge for integrating Vercel KV (Redis-compatible key-value storage powered by Upstash) into Vercel applications. It should be used when setting up Vercel KV for Next.js applications, implementing caching patterns, managing sessions, or handling rate limiting in edge and serverless functions. Use this skill when: - Setting up Vercel KV for Next.js applications - Implementing caching strategies (page cache, API cache, data cache) - Managing user sessions or authentication tokens in serverless environments - Building rate limiting for APIs or features - Storing temporary data with TTL (time-to-live) - Migrating from Cloudflare KV to Vercel KV - Encountering errors like "KV_REST_API_URL not set", "rate limit exceeded", or "JSON serialization errors" - Need Redis-compatible API with strong consistency (vs eventual consistency) Keywords: vercel kv, @vercel/kv, vercel redis, upstash vercel, kv vercel, redis vercel edge, key-value vercel, vercel cache, vercel sessions, vercel rate limit, redis upstash, kv storage, edge kv, serverless redis, vercel ttl, vercel expire, kv typescript, next.js kv, server actions kv, edge runtime kv
Build and maintain assistant-ui based React chat apps with reliable setup, runtime selection, LangGraph wiring, tool UI integration, and upgrade workflows. Use when tasks explicitly involve `assistant-ui` dependencies or APIs, including `assistant-ui` CLI commands (`create/init/add/update/upgrade/codemod`), `@assistant-ui/*` providers/runtimes, `AssistantRuntimeProvider`, Thread/Composer primitives, cloud persistence, or tool rendering behavior. Do not use for generic React chat work, backend-only LangGraph tasks, or non-assistant-ui UI work. If the prompt explicitly says without/no/not assistant-ui, do not trigger this skill.
Build and ship Nuxt modules with @nuxt/module-builder. Use when scaffolding, building, or maintaining a Nuxt module (unbuild preset, types, runtime).
Run OWASP ZAP for Dynamic Application Security Testing. Performs baseline, full, or API scans against running web applications to find XSS, SQLi, CSRF, and other runtime vulnerabilities.
Feature flag patterns for controlled rollouts, A/B testing, kill switches, and runtime configuration. Use when implementing feature toggles, feature flags, gradual rollouts, canary releases, percentage rollouts, dark launches, user targeting, A/B tests, experiments, circuit breakers, emergency kill switches, model switching, or infrastructure flags.
Run a generic Vast.ai API lifecycle from offer search to teardown with safety checks and reproducible request steps. Use when users need to list/filter offers, create instances, attach SSH keys, poll readiness, stop/destroy instances, or inspect billing/usage, and when required runtime fields (image, instance type, API key source) should be collected in dialog with default suggestions.
Learn unfamiliar implementation patterns and fill in missing pieces when building features in a specific environment (e.g., data fetching in a particular runtime). Use when you need to discover or confirm patterns for an unimplemented area; implementation uses erudita and osgrep.