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Found 332 Skills
Scaffold a traditional deterministic GitHub Actions CI/CD workflow. Use this when creating build, test, deploy, lint, release, or security scan pipelines. This is distinct from agentic workflows — no AI is involved at runtime.
Build, troubleshoot, and test VoltSP pipelines (Java DSL and YAML API), including runtime configuration/secrets interpolation and deployment via CLI or Kubernetes/Helm. Use when authoring pipeline definitions, environment configs, plugin extensions, or pipeline validation tests.
Performance playbook for `weapp-vite + wevu` mini-program projects, aligned with WeChat runtime guidance (`setData`, render, navigation, resource, memory). Use this whenever users report lag, frame drop, white screen, slow page switching, memory alert, or want to implement systematic performance governance, stress testing and regression.
Bootstrap, install, and operate an external task-management CLI as the source of truth for agent execution tracking (instead of built-in todos). Provides the abstraction layer between spec-management intent (implementation plans and tasks) and concrete CLI commands. MUST be invoked when any implementation-tier artifact (SPEC, STORY, BUG) comes up for implementation — create a tracked plan before writing code. Optional but recommended for complex SPIKEs. For coordination-tier artifacts (EPIC, VISION, JOURNEY), spec-management must decompose into implementable children first — this skill tracks the children, not the container. Also use for standalone tasks that require backend portability, persistent progress across agent runtimes, or external supervision. Use this skill whenever the user asks to track tasks, create an implementation plan, check what to work on next, see task status, manage dependencies between work items, or close/abandon tasks — even if they don't mention "execution tracking" explicitly.
Scaffolds a new project repository for agentic development from a problem description, or sets up ops tooling (git, precommits, gitignore, licensing, CI) for an existing project. Guides the user through naming, runtime, package manager, devops, licensing, and project structure. Use when the user says "init project", "new project", "start a project", "scaffold repo", "create repo", or describes a problem they want to build a solution for.
Coordinates performance optimization: algorithm, query, and runtime workers in parallel
Integration patterns for Mapbox MCP Server in AI applications and agent frameworks. Covers runtime integration with pydantic-ai, mastra, LangChain, and custom agents. Use when building AI-powered applications that need geospatial capabilities.
Fastify high-performance Node.js framework. Covers routing, plugins, validation, and serialization. Use when building fast Node.js APIs. USE WHEN: user mentions "Fastify", "fastify", "TypeBox", "schema validation", asks about "fast Node.js framework", "high-throughput API", "JSON schema validation", "performance-critical backend", "plugin-based architecture" DO NOT USE FOR: Enterprise DI patterns - use `nestjs` instead, Minimalist approach - use `express` instead, Edge runtimes - use `hono` instead, Deno - use `oak` or `fresh` instead
Build TypeScript clients for SpacetimeDB. Use when connecting to SpacetimeDB from web apps, Node.js, Deno, Bun, or other JavaScript runtimes.
Create software-engineering planning artifacts with triaged depth: future-state runtime call stacks, future-state runtime call stack review, and implementation planning/progress for all sizes, plus proposed design docs for medium/large scope. Includes requirement clarification, call-stack review, and iterative refinement.
Execute use when provisioning Vertex AI ADK infrastructure with Terraform. Trigger with phrases like "deploy ADK terraform", "agent engine infrastructure", "provision ADK agent", "vertex AI agent terraform", or "code execution sandbox terraform". Provisions Agent Engine runtime, 14-day code execution sandbox, Memory Bank, VPC Service Controls, IAM roles, and secure multi-agent infrastructure.
Write SQL, TypeScript, and dynamic table transforms for Goldsky Turbo pipelines. Use this skill for: decoding EVM event logs with _gs_log_decode (requires ABI) or transaction inputs with _gs_tx_decode, filtering and casting blockchain data in SQL, combining multiple decoded event types into one table with UNION ALL, writing TypeScript/WASM transforms using the invoke(data) function signature, setting up dynamic lookup tables to filter transfers by a wallet list you update at runtime (dynamic_table_check), chaining SQL and TypeScript steps together, or debugging null values in decoded fields. For full pipeline YAML structure, use /turbo-pipelines instead. For building an entire pipeline end-to-end, use /turbo-builder instead.