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Found 525 Skills
Production-grade fault tolerance for distributed systems. Use when implementing circuit breakers, retry with exponential backoff, bulkhead isolation patterns, or building resilience into LLM API integrations.
Implements Syncfusion Flutter Slider controls (SfSlider, SfRangeSlider, SfRangeSelector) for numeric value selection and range inputs. Use when working with single-value sliders, range selection, or chart-range controllers in Flutter apps. This skill covers thumb and tooltip customization, ticks, dividers, RTL support, drag modes, and chart integrations.
Use when the user asks to audit a Solana or Anchor codebase, explain report-backed Solana vulnerability classes, review signer or PDA bugs, analyze CPI trust boundaries, assess Token-2022 integrations, digest a public Solana audit report, investigate an exploit path, or generate audit-readiness and release-blocker checklists.
Apply when designing or implementing how a VTEX IO backend app integrates with VTEX services or external APIs through @vtex/api and @vtex/clients. Covers choosing the correct client type, registering clients in IOClients, configuring InstanceOptions, and consuming integrations through ctx.clients. Use for custom client design, VTEX Core Commerce integrations, or reviewing backend code that should use VTEX IO client patterns instead of raw HTTP libraries.
Apply when controlling access to VTEX IO app resources using role-based or resource-based policies. Covers policies.json for role-based access control, service.json policies for resource-based access, VRN syntax for principals, the difference between app-to-app and user/integration access, and GraphQL @auth directives. Use when deciding how to secure routes and restrict which apps, users, or integrations can access your endpoints.
Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.
Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing ADF pipelines, mapping data flows, SHIR/SSIS IR, SAP CDC, or CI/CD with ARM/DevOps, and other Azure Data Factory related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics), Azure Data Explorer (use azure-data-explorer).
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Guide for creating effective opencode skills. Use for creating or updating skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Examples: - user: "Create a skill for git workflows" → define SKILL.md with instructions and examples - user: "Add examples to my skill" → follow the user: "query" → action pattern - user: "Update skill description" → use literal block scalar and trigger contexts - user: "Structure a complex skill" → organize with scripts/ and references/ directories - user: "Validate my skill" → check structure, frontmatter, and discovery triggers
Guide for creating effective skills. Use when users want to create a new skill (or update an existing skill) that extends the model's capabilities with specialized knowledge, workflows, or tool integrations.
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.
OpenAI Agents SDK (Python) development. Use when building AI agents, multi-agent workflows, tool integrations, or streaming applications with the openai-agents package.