Convex Agents Workflows
Orchestrates multi-step agent operations with durable execution, automatic retries, and recovery from failures. Use this for complex workflows that need to survive server restarts or coordinate multiple agents.
Convex Agents Messages
Sends, saves, retrieves, and manages messages within agent conversations. Use this when handling user messages, displaying conversation history, and working with UIMessages for rich rendering.
vercel-ai-elements
This skill provides comprehensive documentation for all 23 Vercel AI Elements components organized by category (Message, Conversation, Input/Interaction, Content Display, AI Processing, Advanced Features). Use when users ask about building AI chatbots, need component documentation, want API references for Vercel AI Elements, or need integration examples with the AI SDK.
Convex Agents Files
Handles file uploads, image attachments, and media processing in agent conversations. Use this when agents analyze images, process documents, or generate files.
convex-tanstack
Comprehensive guide for building full-stack applications with Convex and TanStack Start. This skill should be used when working on projects that use Convex as the backend database with TanStack Start (React meta-framework). Covers schema design, queries, mutations, actions, authentication with Better Auth, routing, data fetching patterns, SSR, file storage, scheduling, AI agents, and frontend patterns. Use this when implementing features, debugging issues, or needing guidance on Convex + TanStack Start best practices.
convex-queries
This skill should be used when implementing Convex query functions. It provides comprehensive guidelines for defining, registering, calling, and optimizing queries, including pagination, full text search, and indexing patterns.
Convex Agents Threads
Manages conversation threads to group messages into linear histories. Use this when organizing multi-turn conversations, managing per-user history, and handling thread metadata.
convex-mutations
This skill should be used when implementing Convex mutation functions. It provides comprehensive guidelines for defining, registering, calling, and scheduling mutations, including database operations, transactions, and scheduled job patterns.
betterauth-tanstack-convex
Step-by-step guide for setting up Better Auth authentication with Convex and TanStack Start. This skill should be used when configuring authentication in a Convex + TanStack Start project, troubleshooting auth issues, or implementing sign up/sign in/sign out flows. Covers installation, environment variables, SSR authentication, route handlers, and the expectAuth pattern.
Convex Agents Usage Tracking
Tracks LLM token consumption and usage metrics for billing, monitoring, and optimization. Use this to log token usage, calculate costs, generate invoices, and understand which agents or users consume the most resources.
Convex Agents Streaming
Streams agent responses in real-time to clients without blocking. Use this for responsive UIs, long-running generations, and asynchronous streaming to multiple clients.
convex-actions-general
This skill should be used when working with Convex actions, HTTP endpoints, validators, schemas, environment variables, scheduling, file storage, and TypeScript patterns. It provides comprehensive guidelines for function definitions, API design, database limits, and advanced Convex features.
Convex Agents Context
Customizes what information the LLM receives for each generation. Use this to control message history, implement RAG context injection, search across threads, and provide custom context.
Convex Agents Playground
Sets up a web UI for testing, debugging, and developing agents without code. Use this to manually test agents, browse conversation history, and verify behavior in real-time.
Convex Agents Rate Limiting
Controls message frequency and token usage to prevent abuse and manage API budgets. Use this to implement per-user limits, global caps, burst capacity, and token quota management.
Convex Agents Human Agents
Integrates human agents into automated workflows for human-in-the-loop interactions. Use this when humans need to respond alongside AI agents, handle escalations, or provide context that AI cannot determine.
Convex Agents RAG
Implements Retrieval-Augmented Generation (RAG) patterns to enhance agents with custom knowledge bases. Use this when agents need to search through documents, retrieve context from a knowledge base, or ground responses in specific data.
Convex Agents Fundamentals
Sets up and configures Convex agents for chat-based AI interactions. Use this when initializing agent instances, creating conversation threads, and generating basic text or structured responses from LLMs. Essential foundation for any Convex agent implementation.
ai-elements-workflow
This skill provides guidance for building workflow visualizations using Vercel AI Elements and React Flow. It should be used when implementing interactive node-based interfaces, workflow diagrams, or process flow visualizations in Next.js applications. Covers Canvas, Node, Edge, Connection, Controls, Panel, and Toolbar components.
Convex Agents Tools
Enables agents to call external functions, APIs, and database operations through tool definitions. Use this when agents need to fetch data, perform actions, or integrate with external services while maintaining clean separation.
agency
Use Agency CLI to run parallel AI coding tasks in isolated Git worktrees. Invoke when user mentions "agency", "ag", parallel tasks, worktrees, or wants to run multiple coding agents simultaneously.
rust-webapp
Build full-stack web applications using Rust (Axum + SQLx) with server-rendered frontend patterns using HTMX + Alpine.js or DataStar, plus Neon (serverless PostgreSQL). Use when asked to create web apps, CRUD apps, dashboards, forms, or any stateful web application. Triggers on requests like "build a todo app", "create a voting app", "make a dashboard", "build a blog", etc.
tokenmaxxer
Serious engineering work with a reviewed plan and adversarial review gates; the required first argument word picks the mode. `build` — features, root-caused fixes, cross-cutting changes (trivial ones skip planning, never the diff gate). `refactor` — consolidate one accreted component, behavior-preserving. `sweep` — unattended overnight cleanup of a named area, shipped as draft PRs. `experiment` — metric-driven experimentation: approved hypothesis tree, autonomous batch of runs, next-batch report. `followup` — work recorded out-of-scope findings with the user's decisions; no required argument. Invoke explicitly, e.g. `/tokenmaxxer refactor <component>`.
dialectic
Prove and counter-prove a claim with parallel agents before concluding. Use for architecture claims, bug hypotheses, performance claims, refactor safety, review judgments, and "is this actually true?" questions.
spymaster
Design, build, audit, and improve the harness around an LLM agent — its tools, loop, permissions, context, skills, and evals. Use when building, reviewing, or debugging any agentic system: an agent runtime or loop, agent-facing tools, an MCP server, an approval/permission flow, a context or memory strategy, an eval suite, or an existing agent that underperforms (flaky, wrong tool calls, retry loops, burning tokens) — even when the request just says "add a tool" or "make the agent do X" without naming a harness. Provider-neutral (OpenAI, Anthropic, MCP). Not for ordinary app features that don't change agent behavior, tool execution, context, permissions, or validation.
investigate
Evidence-first debugging and root cause investigation. Use for triaging bugs, test failures, incidents, performance regressions, flaky behavior, integration failures, or unexplained behavior before proposing fixes.
ml-project
Guidelines for ML projects. Use when training or evaluating models, building ML pipelines, running experiments, or working with datasets/parquet files and CatBoost/PyTorch/Polars code.
encore-go-secret
Manage API keys, credentials, and other secrets in Encore Go using a package-level `secrets` struct.
encore-go-pubsub
Asynchronous messaging in Encore Go via `pubsub.NewTopic` and `pubsub.NewSubscription` from `encore.dev/pubsub` — broadcast events, decouple producers from consumers, and run background handlers.
encore-go-cron
>-
encore-go-database
Work with PostgreSQL in Encore Go using `sqldb.NewDatabase` from `encore.dev/storage/sqldb` — schema migrations and SQL queries.
encore-go-getting-started
Bootstrap a brand-new Encore Go project from zero. Only for first-time CLI install and `encore app create` — not for architecture or feature questions.
encore-bucket
Store unstructured files in Encore.ts using `Bucket` from `encore.dev/storage/objects` — uploads, images, documents, blobs.
encore-cache
Cache data in Redis from Encore.ts using `CacheCluster` and typed keyspaces from `encore.dev/storage/cache`. Type-safe key/value access with TTLs, atomic increments, and per-keyspace data shapes.
encore-cron
>-
encore-database
Work with PostgreSQL in Encore.ts using `SQLDatabase` from `encore.dev/storage/sqldb` — schema migrations and SQL queries.
encore-frontend
Connect a frontend application (React, Next.js, Vue, Svelte, etc.) to an Encore.ts backend.
encore-getting-started
Bootstrap a brand-new Encore.ts project from zero. Only for first-time CLI install and `encore app create` — not for architecture or feature questions.
encore-go-auth
Protect Encore Go endpoints with authentication and authorize callers. Covers `auth.AuthHandler`, `auth.UserID`, the `Authorization` header, and `//encore:api auth`.
encore-go-bucket
Store unstructured files in Encore Go using `objects.NewBucket` from `encore.dev/storage/objects` — uploads, images, documents, blobs.
encore-go-cache
Cache data in Redis from Encore Go using `cache.NewCluster` and typed keyspaces from `encore.dev/storage/cache`. Type-safe key/value access with TTLs, atomic increments, and per-keyspace data shapes.
encore-webhook
Receive inbound webhooks from external services (Stripe, GitHub, Slack, Twilio, etc.) using `api.raw(...)` from `encore.dev/api`. The right skill any time the user names a third-party provider that POSTs events to a URL you own.
encore-testing
Write or run automated tests for Encore.ts code with `encore test` and vitest/jest. Covers isolated per-test databases, calling handlers directly, and `describe`/`it`/`expect`.
encore-service
Plan how to split an Encore.ts application into services and lay out its directory structure. Architecture and decomposition, not first-time CLI install (that's `encore-getting-started`).
encore-secret
Manage API keys, credentials, and other secrets in Encore.ts using `secret(...)` from `encore.dev/config`.
encore-pubsub
Asynchronous messaging in Encore.ts via `Topic` and `Subscription` from `encore.dev/pubsub` — broadcast events, decouple producers from consumers, and run background handlers.
encore-migrate
Migrate an existing backend application to Encore. Supports any source framework, targets Encore.ts or Encore Go. Drives a structured DISCOVER → PLAN → MIGRATE workflow with `migration-plan.md` tracking.
encore-go-webhook
Receive inbound webhooks from external services (Stripe, GitHub, Slack, Twilio, etc.) in Encore Go using `//encore:api raw`. The right skill any time the user names a third-party provider that POSTs events to a URL you own.
encore-go-service
Plan how to split an Encore Go application into services and lay out its directory structure. Architecture and decomposition, not first-time CLI install (that's `encore-go-getting-started`).
encore-go-testing
Write or run automated tests for Encore Go code with `encore test` and the standard library `testing` package. Covers isolated per-test databases, calling handlers directly, and `*testing.T` patterns.
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