agent-tool-builder
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa
lamindb
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
deployment-validation-config-validate
You are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. Create comprehensive validation schemas, implement configurat
trigger-dev-tasks
Use this skill when writing, designing, or optimizing Trigger.dev background tasks and workflows. This includes creating reliable async tasks, implementing AI workflows, setting up scheduled jobs, structuring complex task hierarchies with subtasks, configuring build extensions for tools like ffmpeg or Puppeteer/Playwright, and handling task schemas with Zod validation.
lamindb
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
repo-website-guide-create
Create conceptual documentation and tutorial pages for the Valibot website at website/src/routes/guides/. Use when adding guides about schemas, pipelines, async validation, migration, or other topics. Covers directory structure, MDX templates, frontmatter, and content guidelines.
hunt-analytics-generation
Generate query-agnostic analytics that model adversary behavior by translating hunt investigative intent into analytic definitions grounded in schema semantics. This skill is used to define how behavior should manifest in data before query execution or validation, and works best when informed by system internals, adversary tradecraft, a structured hunt focus, and suggested data sources.
TanStack Form
TanStack Form with Zod validation in Svelte 5. Form state management, field validation, error handling, and ProblemDetails integration. Keywords: TanStack Form, createForm, Field, form validation, zod schema, form errors, onSubmit, onSubmitAsync, problemDetailsToFormErrors
claude-agent-sdk
Build autonomous AI agents with Claude Agent SDK. Structured outputs guarantee JSON schema validation, with plugins system and hooks for event-driven workflows. Prevents 14 documented errors. Use when: building coding agents, SRE systems, security auditors, or troubleshooting CLI not found, structured output validation, session forking errors, MCP config issues, subagent cleanup.
config-guardian
Validate and safeguard OpenClaw config updates (openclaw.json or openclaw config set/apply). Use this skill whenever changing gateway config, models, channels, agents, tools, sessions, or routing. Enforces backup, schema validation, and safe rollback before restarts.
validator-gen
Generate Zod and Yup validation schemas from TypeScript types. Use when you need runtime validation that matches your types.
pydantic-models-py
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2.
pydantic-models-py
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2.
Plugin Validator
Automatically validates Claude Code plugin structure, schemas, and compliance when user mentions validate plugin, check plugin, or plugin errors. Runs comprehensive validation specific to claude-code-plugins repository standards.
managing-database-testing
This skill manages database testing by generating test data, wrapping tests in transactions, and validating database schemas. It is used to create robust and reliable database interactions. Claude uses this skill when the user requests database testing utilities, including test data generation, transaction management, schema validation, or migration testing. Trigger this skill by mentioning "database testing," "test data factories," "transaction rollback," "schema validation," or using the `/db-test` or `/dbt` commands.
yaml-master
PROACTIVE YAML INTELLIGENCE: Automatically activates when working with YAML files, configuration management, CI/CD pipelines, Kubernetes manifests, Docker Compose, or any YAML-based workflows. Provides intelligent validation, schema inference, linting, format conversion (JSON/TOML/XML), and structural transformations with deep understanding of YAML specifications and common anti-patterns.
zod-4
Zod 4 schema validation patterns. Trigger: When using Zod for validation - breaking changes from v3.
data-model-changes
Guide for making changes to the database schema, validations, types, and data access layer. Use when adding tables, columns, relations, or otherwise modifying the data model. Triggers on: add table, add column, modify schema, database change, new entity, schema migration.
moai-formats-data
Data format specialist covering TOON encoding, JSON/YAML optimization, serialization patterns, and data validation for modern applications. Use when optimizing data for LLM transmission, implementing high-performance serialization, validating data schemas, or converting between data formats.
wp-rest-api
Use when building, extending, or debugging WordPress REST API endpoints/routes: register_rest_route, WP_REST_Controller/controller classes, schema/argument validation, permission_callback/authentication, response shaping, register_rest_field/register_meta, or exposing CPTs/taxonomies via show_in_rest.
request-validation
Validate API requests with schemas, sanitization, and helpful error messages. Covers Zod, Joi, and Pydantic patterns.
claude-api
Build with Claude Messages API using structured outputs for guaranteed JSON schema validation. Covers prompt caching (90% savings), streaming SSE, tool use, and model deprecations. Prevents 16 documented errors. Use when: building chatbots/agents, troubleshooting rate_limit_error, prompt caching issues, streaming SSE parsing errors, MCP timeout issues, or structured output hallucinations.
google-chat-api
Build Google Chat bots and webhooks with Cards v2, interactive forms, and Cloudflare Workers. Covers Spaces/Members/Reactions APIs, bearer token verification, and dialog patterns. Use when: creating Chat bots, workflow automation, interactive forms. Troubleshoot: bearer token 401, rate limit 429, card schema validation, webhook failures.
fastapi
Build Python APIs with FastAPI, Pydantic v2, and SQLAlchemy 2.0 async. Covers project structure, JWT auth, validation, and database integration with uv package manager. Prevents 7 documented errors. Use when: creating Python APIs, implementing JWT auth, or troubleshooting 422 validation, CORS, async blocking, form data, background tasks, or OpenAPI schema errors.
zod-patterns
MX Space project Zod schema patterns. Apply when creating DTOs, validation schemas, or handling request validation.
angular-forms
Build signal-based forms in Angular v21+ using the new Signal Forms API. Use for form creation with automatic two-way binding, schema-based validation, field state management, and dynamic forms. Triggers on form implementation, adding validation, creating multi-step forms, or building forms with conditional fields. Signal Forms are experimental but recommended for new Angular projects. Don't use for template-driven forms without signals or third-party form libraries like Formly or ngx-formly.
great-expectations-validator
Data quality validation skill using Great Expectations for schema validation, expectation suites, data documentation, and automated data quality checks in ML pipelines.
openapi-generator
Specialized skill for generating and validating OpenAPI 3.0/3.1 specifications. Supports code-first and spec-first approaches, schema inference, validation, and mock server generation.
mcp-tool-schema-generator
Generate JSON Schema definitions for MCP tool input parameters. Creates well-documented, AI-consumable schemas with proper types, descriptions, and validation rules.
structured-data
JSON-LD schema markup and validation.
zod
Zod schema validation and type inference.
json-schema
JSON Schema validation and API contract design.
convex-schema-validator
Defining and validating database schemas with proper typing, index configuration, optional fields, unions, and migration strategies for schema changes
qe-database-testing
Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance. Use when testing data persistence, ensuring referential integrity, or validating database migrations.
QE Contract Testing
Consumer-driven contract testing for APIs including REST, GraphQL, and event-driven systems with schema validation.
contract-testing
Consumer-driven contract testing for microservices using Pact, schema validation, API versioning, and backward compatibility testing. Use when testing API contracts or coordinating distributed teams.
database-testing
Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance. Use when testing data persistence, ensuring referential integrity, or validating database migrations.
delon-form-dynamic-schema-forms
Create dynamic schema-based forms using @delon/form (SF component). Use this skill when building complex forms with validation, conditional rendering, async data loading, custom widgets, and multi-step workflows. Ensures forms follow JSON Schema standards, integrate with Angular reactive forms, support internationalization, and maintain consistent validation patterns across the application.
backend-models
Define database models and ORM entities with proper naming, relationships, validation, and data integrity constraints. Use this skill when creating or modifying model classes, database table definitions, model relationships (one-to-many, many-to-many), data validation rules, database constraints, or model methods. Apply when working with ORM model files, ActiveRecord, SQLAlchemy, Sequelize, Prisma schemas, or any database model definitions that map objects to database tables and enforce data structure and relationships.
Database Implementation
Database schema design, migrations, query optimization with SQL, Exposed ORM, Flyway. Use for database, migration, schema, sql, flyway tags. Provides migration patterns, validation commands, rollback strategies.
data-migration
Plan and execute database migrations, data transformations, and system migrations safely with rollback strategies and data integrity validation. Use when migrating databases, transforming data schemas, moving between database systems, implementing versioned migrations, handling data transformations, ensuring data integrity, or planning zero-downtime migrations.
database-testing
Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance. Use when testing data persistence, ensuring referential integrity, or validating database migrations.
Backend Models Standards
Define database models with clear naming, appropriate data types, constraints, relationships, and validation at multiple layers. Use this skill when creating or modifying database model files, ORM classes, schema definitions, or data model relationships. Apply when working with model files (e.g., models.py, models/, ActiveRecord classes, Prisma schema, Sequelize models), defining table structures, setting up foreign keys and relationships, configuring cascade behaviors, implementing model validations, adding timestamps, or working with database constraints (NOT NULL, UNIQUE, foreign keys). Use for any task involving data integrity enforcement, relationship definitions, or model-level data validation.
api-development
Use when creating or modifying Elysia API routes. Ensures proper validation with t schema, auth guards, error handling, and performance patterns.
graphql-inspector-ci
Use when setting up GraphQL Inspector in CI/CD pipelines, GitHub Actions, or GitLab CI for automated schema validation.
effect-schema
Use when @effect/schema patterns including schema definition, validation, parsing, encoding, and transformations. Use for type-safe data validation in Effect applications.
creating-claude-agents
Use when creating or improving Claude Code agents. Expert guidance on agent file structure, frontmatter, persona definition, tool access, model selection, and validation against schema.
creating-cursor-commands
Expert guidance for creating effective Cursor slash commands with best practices, format requirements, and schema validation