Search
Structured output and tool calling
Skills
Sort:BestMost starsTrending todayTrending this weekTrending this monthNewestRecently updatedName
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 193 | 193.Smiles De Salter Analyze data with smiles-de-salter using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.6k | Automated safety check: Pass | MIT | 24 days ago |
| 194 | Analyze data with survival-curve-risk-table using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~4.2k | Automated safety check: Pass | MIT | 24 days ago |
| 195 | Analyze data with toxicity-structure-alert using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.6k | Automated safety check: Pass | MIT | 24 days ago |
| 196 | Analyze data with volcano-plot-labeler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.8k | Automated safety check: Pass | MIT | 24 days ago |
| 197 | 197.Claude Agent SDK Build autonomous AI agents with Claude Agent SDK. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~7.3k | Automated safety check: Notes | MIT | 2 mo ago |
| 198 | 198.ML Machine learning and LLM engineering judgment, distilled from a stronger model - invoke when DECIDING whether/how to use ML or an LLM for a task (prompt vs RAG vs fine-tune vs classical); working… | telagod/ | 244 | — | ~566 | Automated safety check: Pass | MIT | 2 mo ago |
| 199 | 199.LLM Integration LLM integration patterns including API usage, streaming, function calling, RAG pipelines, and cost optimization | rohitg00/ | 2.7k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | 5 mo ago |
| 200 | 200.Nextjs AI SDK A skill your agent uses when adding chat routes, LLM tools, structured outputs, or streaming UI with the Vercel AI SDK in this Next.js AI app. | johnku2011/ | 240 | — | ~446 | Automated safety check: Notes | MIT | 1 mo ago |
| 201 | Generate, modify, and style React components from natural language using the Thesys SDK. | secondsky/ | 227 | — | ~614 | Automated safety check: Pass | MIT | 13 days ago |
| 202 | Structured JSON output from Claude: native JSON schemas, strict tools, local validation, refusal and truncation handling. | softspark/ | 179 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 203 | Build provider-agnostic .NET AI integrations with Microsoft.Extensions.AI, IChatClient, embeddings, middleware, structured output, vector search, and evaluation. | managedcode/ | 486 | — | ~3.4k | Automated safety check: Pass | MIT | yesterday |
| 204 | 204.Semantic Kernel Build AI-enabled .NET applications with Semantic Kernel using services, plugins, prompts, and function-calling patterns that remain testable and maintainable. | managedcode/ | 486 | — | ~2.8k | Automated safety check: Pass | MIT | yesterday |
| 205 | 205.Ax Gen This skill helps an LLM generate correct AxGen code using @ax-llm/ax. | dosco/ | 107 | — | ~5.4k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 206 | 206.Invoking Gemini Invokes Google Gemini models for structured outputs, image generation, text-to-speech narration, multi-modal tasks, and Google-specific features. | oaustegard/ | 150 | — | ~4.1k | Automated safety check: Pass | MIT | yesterday |
| 207 | On-device LLM integration using Apple's Foundation Models framework. | gustavscirulis/ | 116 | 1 repo | ~4.1k | Automated safety check: Notes | Unknown | 5 mo ago |
| 208 | Redirect to claude-embeddings-search for tool use (function calling) and agentic loop patterns with Claude. | jeremylongshore/ | 2.8k | — | ~576 | Automated safety check: Pass | MIT | yesterday |
| 209 | Implement tool use (function calling) with Claude to let it execute actions, Use when working with embeddings-search patterns. | jeremylongshore/ | 2.8k | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 210 | Migrate from OpenAI/GPT to Anthropic/Claude — API differences, Use when working with migration-deep-dive patterns. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 211 | Stream Claude responses, use system prompts, handle multi-turn conversations, Use when working with model-inference patterns. | jeremylongshore/ | 2.8k | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 212 | Build a bounded Cohere v2 tool-use loop with JSON Schema, explicit dispatch, result correlation, and approval gates. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 213 | Execute Groq's primary workflow: chat completions with tool use and JSON mode. | jeremylongshore/ | 2.8k | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 214 | Invoke Claude, GPT-4o, and Gemini through LangChain 1.0 without tripping on the content-block, token-accounting, and structured-output quirks that silently break production code. | jeremylongshore/ | 2.8k | — | ~2.7k | Automated safety check: Pass | MIT | yesterday |
| 215 | Implement governed Mistral chat, streaming, and structured-output requests with schema validation and model evidence. | jeremylongshore/ | 2.8k | — | ~902 | Automated safety check: Pass | MIT | yesterday |
| 216 | Build Mistral embeddings, retrieval, and function-calling loops with tenant isolation and application-owned execution. | jeremylongshore/ | 2.8k | — | ~889 | Automated safety check: Pass | MIT | yesterday |
| 217 | Implement function/tool calling with OpenRouter models. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 218 | Validate API responses against schemas to ensure contract compliance and data integrity. | jeremylongshore/ | 2.8k | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 219 | Build and deploy generative AI agents on Vertex AI: Gemini model selection, RAG with grounded retrieval, function calling, multimodal extraction, evaluation, and Agent Engine deployment with… | jeremylongshore/ | 2.8k | — | ~898 | Automated safety check: Pass | MIT | yesterday |
| 220 | Build MCP (Model Context Protocol) servers with tool definitions, resource providers, prompt templates, and transports. | borghei/ | 891 | — | ~1.9k | Automated safety check: Pass | MIT | 4 days ago |
| 221 | Generate images with Venice. An agent skill from veniceai/skills. | veniceai/ | 144 | — | ~4.7k | Automated safety check: Pass | MIT | 5 days ago |
| 222 | Understanding and parsing Golem CLI structured output. An agent skill from golemcloud/golem. | golemcloud/ | 1.5k | — | ~1.6k | Automated safety check: Pass | Unknown | yesterday |
| 223 | Expert in designing and building autonomous AI agents. An agent skill from aiskillstore/marketplace. | aiskillstore/ | 433 | 3 repos | ~2.3k | Automated safety check: Pass | No licence | yesterday |
| 224 | 224.Tools UI Tool lifecycle UI components for React/Next.js from ui.inference.sh. | aiskillstore/ | 433 | 1 repo | ~990 | Automated safety check: Pass | No licence | yesterday |
| 225 | 225.Widgets UI Declarative UI widgets from JSON for React/Next.js from ui.inference.sh. | aiskillstore/ | 433 | 1 repo | ~1.3k | Automated safety check: Pass | No licence | yesterday |
| 226 | 226.Building Agents A skill your agent uses when building or restructuring an LLM agent — provider adapter, tool calling, structured output, RAG, agent loop, eval gate, cost routing, tracing, MCP server —… | ericrisco/ | 180 | — | ~5k | Automated safety check: Pass | MIT | yesterday |
| 227 | Analyze data with adme-property-predictor using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~7k | Automated safety check: Pass | MIT | 24 days ago |
| 228 | A skill your agent uses when asked to expose a folder of notes or docs to Claude or another AI client, build an MCP server over Markdown or JSON files, let an agent read my knowledge base safely, or… | mohitagw15856/ | 1.4k | — | ~1.3k | Automated safety check: Notes | MIT | 2 days ago |
| 229 | 229.Pixeltable Build multimodal AI apps with Pixeltable. An agent skill from hashgraph-online/awesome-codex-plugins. | hashgraph-online/ | 1.3k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 230 | Provides patterns to build declarative AI Services with LangChain4j for LLM integration, chatbot development, AI agent implementation, and conversational AI in Java. | giuseppe-trisciuoglio/ | 357 | — | ~1.6k | Automated safety check: Notes | MIT | 1 mo ago |
| 231 | Provides Spring Boot MCP server patterns that create Model Context Protocol servers with Spring AI by defining tool handlers, exposing resources, configuring prompt templates, and setting up… | giuseppe-trisciuoglio/ | 357 | — | ~2.7k | Automated safety check: Notes | MIT | 1 mo ago |
| 232 | Provides and generates LangChain4j tool and function calling patterns: annotates methods as tools with @Tool, configures tool executors, registers tools with AiServices, validates tool parameters… | giuseppe-trisciuoglio/ | 357 | — | ~2.4k | Automated safety check: Notes | MIT | 1 mo ago |
| 233 | 233.Conventions AI Apply when building or reviewing Stella AI chat, model/provider adapters, tools, prompts, streaming, message persistence, approvals, structured output, or AI-generated follow-ups. | stella/ | 258 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 234 | 234.Testing LLM LLM and AI testing patterns — mock responses, evaluation with DeepEval/RAGAS, structured output validation, and agentic test patterns (generator, healer, planner). | yonatangross/ | 292 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 235 | 235.Tool Design Design tools that agents can use effectively. An agent skill from aiskillstore/marketplace. | aiskillstore/ | 433 | — | ~3.1k | Automated safety check: Pass | No licence | yesterday |
| 236 | Designing agent harnesses and tool systems — risk taxonomy for tools, permission decisions, draft/commit pattern, structured tool results, agent budgets (10 types), context trust labels against… | AnastasiyaW/ | 154 | — | ~764 | Automated safety check: Pass | MIT | yesterday |
| 237 | Assign items to a CLOSED label vocabulary that is too large to put in a prompt — product taxonomies, category hierarchies, tag vocabularies, routing tables, ICD/SIC-style code lists. | oaustegard/ | 150 | — | ~2.8k | Automated safety check: Pass | MIT | yesterday |
| 238 | Build Claude tool use (function calling) workflows with the Messages API. | jeremylongshore/ | 2.8k | — | ~1.8k | Automated safety check: Pass | MIT | yesterday |
| 239 | Redirect to claude-model-inference for Messages API streaming, vision, and structured output patterns. | jeremylongshore/ | 2.8k | — | ~481 | Automated safety check: Pass | MIT | yesterday |
| 240 | 240.Venice Chat Call POST /chat/completions on Venice. An agent skill from veniceai/skills. | veniceai/ | 144 | — | ~5.9k | Automated safety check: Pass | MIT | 5 days ago |