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Found 926 Skills
Tinybird TypeScript SDK for defining datasources, pipes, and queries with full type inference. Use when working with @tinybirdco/sdk, TypeScript Tinybird projects, or type-safe data ingestion and queries.
Evolves skills based on usage patterns. Use when improving or rolling back skill definitions.
Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines
Test smart contracts comprehensively using Hardhat and Foundry with unit tests, integration tests, and mainnet forking. Use when testing Solidity contracts, setting up blockchain test suites, or validating DeFi protocols.
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.
Help users apply the working backwards methodology. Use when someone is defining a new product, writing a PR/FAQ, planning from a future state, or trying to clarify a product's value proposition before building.
Help users set effective OKRs and goals. Use when someone is creating quarterly objectives, defining key results, setting team goals, planning annual targets, or struggling with goal alignment across their organization.
Use when defining new features, gathering requirements, or writing specifications. Invoke for feature definition, requirements gathering, user stories, EARS format specs.
Help users build and maintain strong team culture. Use when someone is defining team values, creating psychological safety, onboarding to a new team, navigating cultural change, or building distributed team norms.
Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.
Tool and function calling patterns with LangChain4j. Define tools, handle function calls, and integrate with LLM agents. Use when building agentic applications that interact with tools.
Go interfaces, type assertions, type switches, and embedding from Effective Go. Covers implicit interface satisfaction, comma-ok idiom, generality through interface returns, interface and struct embedding for composition. Use when defining or implementing interfaces, using type assertions/switches, or composing types through embedding.