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Agent skills
typescript

Topic: typescript

2,004 skills in this topic.

cache-components Ensure 'use cache' is used strategically to minimize CPU usage and ISR writes. Use when creating/modifying queries to verify caching decisions align with data update patterns and cost optimization.
sgcarstrends/sgcarstrends 20
component-tester Run Vitest tests for a specific component with coverage. Use when making changes to React components to ensure tests pass and coverage is maintained.
sgcarstrends/sgcarstrends 20
typography-spacing-enforcer Enforce Typography system and modern spacing conventions. Use when implementing new UI components to ensure design consistency with project standards.
sgcarstrends/sgcarstrends 20
ui-design-system Enforce modern dashboard UI patterns with pill-shaped design, professional colour scheme, and typography standards. Use when building or reviewing UI components for the web application.
sgcarstrends/sgcarstrends 20
audit-dependencies Use when fixing dependency vulnerabilities, running pnpm audit, or when the audit-dependencies CI check fails
payloadcms/payload 41,567
generate-translations Use when new translation keys are added to packages to generate new translations strings
payloadcms/payload 41,567
triage-ci-flake Use when CI tests fail on main branch after PR merge, or when investigating flaky test failures in CI environments
payloadcms/payload 41,567
payload Use when working with Payload CMS projects (payload.config.ts, collections, fields, hooks, access control, Payload API). Use when debugging validation errors, security issues, relationship queries, transactions, or hook behavior.
payloadcms/payload 41,567
deepagents-architecture Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing subagent systems, or selecting middleware approaches.
existential-birds/beagle 44
deepagents-code-review Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches common configuration and usage mistakes.
existential-birds/beagle 44
deepagents-implementation 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.
existential-birds/beagle 44
langgraph-architecture Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing multi-agent systems, or selecting persistence and streaming approaches.
existential-birds/beagle 44
langgraph-code-review Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph, nodes, edges, checkpointing, or other LangGraph features. Catches common mistakes in state management, graph structure, and async patterns.
existential-birds/beagle 44
langgraph-implementation Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling interrupts, or creating multi-agent systems with LangGraph.
existential-birds/beagle 44
pydantic-ai-agent-creation Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or integrating LLMs with Pydantic validation.
existential-birds/beagle 44
pydantic-ai-common-pitfalls Avoid common mistakes and debug issues in PydanticAI agents. Use when encountering errors, unexpected behavior, or when reviewing agent implementations.
existential-birds/beagle 44
pydantic-ai-dependency-injection Implement dependency injection in PydanticAI agents using RunContext and deps_type. Use when agents need database connections, API clients, user context, or any external resources.
existential-birds/beagle 44
pydantic-ai-model-integration Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when selecting models, implementing resilience, or optimizing API calls.
existential-birds/beagle 44
pydantic-ai-testing Test PydanticAI agents using TestModel, FunctionModel, VCR cassettes, and inline snapshots. Use when writing unit tests, mocking LLM responses, or recording API interactions.
existential-birds/beagle 44
pydantic-ai-tool-system Register and implement PydanticAI tools with proper context handling, type annotations, and docstrings. Use when adding tool capabilities to agents, implementing function calling, or creating agent actions.
existential-birds/beagle 44
vercel-ai-sdk Vercel AI SDK for building chat interfaces with streaming. Use when implementing useChat hook, handling tool calls, streaming responses, or building chat UI. Triggers on useChat, @ai-sdk/react, UIMessage, ChatStatus, streamText, toUIMessageStreamResponse, addToolOutput, onToolCall, sendMessage.
existential-birds/beagle 44
12-factor-apps Perform 12-Factor App compliance analysis on any codebase. Use when evaluating application architecture, auditing SaaS applications, or reviewing cloud-native applications against the original 12-Factor methodology.
existential-birds/beagle 44
12-factor-apps-analysis perform 12-Factor App compliance analysis on a codebase
existential-birds/beagle 44
adr-decision-extraction Extract architectural decisions from conversations. Identifies problem-solution pairs, trade-off discussions, and explicit choices. Use when analyzing session transcripts for ADR generation.
existential-birds/beagle 44