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Found 1,594 Skills
Patterns for Atlas database schema management covering HCL/SQL schema definitions, versioned and declarative migrations, linting analyzers, testing, and project configuration. Use when working with atlas.hcl, .hcl schema files, Atlas CLI commands, or database migrations.
Understand customer motivations through job theory. Use when defining product strategy, conducting user research, identifying competitors, writing user stories, or reframing features around customer progress.
Skill para estimar proyectos de software y generar documentos Word profesionales. Genera estimaciones con tiempo en meses, equipo propuesto (rol y porcentaje de dedicación), consideraciones técnicas, y warnings/riesgos. Incluye template .docx corporativo. Usar cuando el usuario pida estimar un proyecto, calcular tiempos, definir equipo necesario, generar documento de estimación, o frases como "cuánto tiempo llevaría", "qué equipo necesito", "estimar proyecto", "presupuesto de tiempo", "planificar desarrollo", "documento de estimación".
Expert guide for building APIs with the Elysia framework, including routing, validation, plugins, error handling, and type-safe handlers. Use when building APIs with Elysia framework, defining routes, plugins, or type-safe handlers.
Build MCP (Model Context Protocol) servers including tool definition, schema design, authentication, error handling, and Claude Code integration. Use this skill when the user needs to create an MCP server, expose APIs or databases to AI agents, design tool schemas, or integrate with Claude Code — even if they say 'build an MCP server', 'connect Claude to our database', 'expose our API to AI', or 'create a tool for Claude Code'.
Use when writing, reviewing, or committing code to enforce Karpathy's 4 coding principles — surface assumptions before coding, keep it simple, make surgical changes, define verifiable goals. Triggers on "review my diff", "check complexity", "am I overcomplicating this", "karpathy check", "before I commit", or any code quality concern where the LLM might be overcoding.
Answer questions about ArkEnv and help implement environment variable validation. Use when developers: (1) Ask about environment variable validation or typesafety, (2) Want to setup ArkEnv in a project, (3) Need to define or update schemas using ArkType or Standard Schema, (4) Are integrating with Vite, Bun, or other runtimes. Triggers on: 'ArkEnv', 'env validation', 'typesafe env', 'createEnv', 'env.ts', '@arkenv/cli'.
Use when developing academic research ideas, framing research questions, defining scope, novelty, contribution claims, hypotheses, operational definitions, evidence plans, or publishable positioning before SOTA, experiments, or writing.
Authors and edits AWS Step Functions state machines: writes Amazon States Language (ASL) in JSONata, and chooses and structures state types (Task, Choice, Map, Parallel, Pass, Wait, Succeed, Fail). Covers ASL syntax, JSONata data transformation and variables, Retry/Catch error handling, service integrations (.sync, waitForTaskToken callbacks), Distributed Map for large-scale S3/CSV processing, saga/compensation patterns, Standard vs Express workflow choice, TestState API unit testing, and migrating state machines from JSONPath to JSONata. Use when the user is building, authoring, debugging, or migrating a Step Functions state machine or ASL definition, or orchestrating multi-step workflows with branching, retries, or human-approval callbacks, even if they don't say 'Step Functions.' Do NOT use for general Lambda function code, API Gateway, EventBridge wiring, or SAM/CDK application packaging.
You MUST use this when writing or editing prose anywhere in a project (docs, READMEs, marketing copy, commit messages) and when asked to audit, score, or clean up negative parallelism, the "it's not just X, it's Y" construction. It bans defining things by negation-plus-contrast in favor of direct positive statements and grades a project's compliance on a 0-100 scale.
Use when multiple consumers and providers must evolve an API or event schema without field drift, integration surprises, or one side silently redefining the interface.
Inspect multiple reference or benchmark videos shot by shot, record observable visual and audio evidence independently for each source, then synthesize their recurring short-form style grammar, one-off details, imitation boundaries, and generator risks in one human-readable Markdown report. Use before image prompt construction, video request architecture, Seedance workflow creation, or batch media generation when reference footage defines the desired production language.