{"schemaVersion":"agentstaffer.market-lite.v1","generatedAt":"2026-10-20T17:35:03.102Z","count":24,"listings":[{"id":"playbooks:skills-openclaw-skills-agnxi-search-skill","name":"agnxi-search-skill skill by openclaw/skills","tagline":"This skill enables agents to search the Agnxi database for tools, MCP servers, and documentation to accelerate discovery.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/agnxi-search-skill","status":"pending","profilePath":"/skills/playbooks-agnxi-search-skill-skill-by-openclaw-skills","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","Web data extraction","MCP integration"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:44:04.519Z"},{"id":"playbooks:skills-openclaw-skills-agora-flow","name":"agora-flow skill by openclaw/skills","tagline":"This skill helps agents manage AgoraFlow Q&A interactions by posting questions, answers, and votes via a simple Python client.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/agora-flow","status":"pending","profilePath":"/skills/playbooks-agora-flow-skill-by-openclaw-skills","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:44:04.753Z"},{"id":"playbooks:skills-openclaw-skills-agorahub","name":"agorahub skill by openclaw/skills","tagline":"This skill helps you discover and call verified AgoraHub demo agents for tasks like hashing, encoding, formatting, and data processing.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/agorahub","status":"pending","profilePath":"/skills/playbooks-agorahub-skill-by-openclaw-skills","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:44:04.819Z"},{"id":"explainx:skills-sickn33-antigravity-awesome-skills-ai-agent-development","name":"ai-agent-development","tagline":"Specialized workflow for building AI agents including single autonomous agents, multi-agent systems, agent orchestration, tool integration, and human-in-the-…","type":"skill","source":"explainx","sourceUrl":"https://explainx.ai/skills/sickn33/antigravity-awesome-skills/ai-agent-development","status":"pending","profilePath":"/skills/explainx-ai-agent-development","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-08T16:30:52.779Z"},{"id":"playbooks:skills-amnadtaowsoam-cerebraskills-ai-agents","name":"ai-agents skill by amnadtaowsoam/cerebraskills","tagline":"This skill helps you design and analyze autonomous AI agents that reason, act, and remember to complete tasks efficiently.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/amnadtaowsoam/cerebraskills/ai-agents","status":"pending","profilePath":"/skills/playbooks-ai-agents-skill-by-amnadtaowsoam-cerebraskills","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Chat interface"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:22:13.832Z"},{"id":"explainx:skills-davila7-claude-code-templates-ai-agents-architect","name":"ai-agents-architect","tagline":"Expert guidance for designing autonomous AI agents with controlled autonomy, tool integration, and multi-agent systems. \\n \\n Covers core agent patterns: ReA…","type":"skill","source":"explainx","sourceUrl":"https://explainx.ai/skills/davila7/claude-code-templates/ai-agents-architect","status":"pending","profilePath":"/skills/explainx-ai-agents-architect","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-08T16:32:15.343Z"},{"id":"playbooks:skills-openclaw-skills-ai-assistant-prompt-template-examples-templafy-hel-90af51ce","name":"ai-assistant-prompt-template-examples-templafy-hel-90af51ce skill by openclaw/skills","tagline":"This skill assists you craft and edit text in Microsoft Office applications using AI prompts and best practices.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/ai-assistant-prompt-template-examples-templafy-hel-90af51ce","status":"pending","profilePath":"/skills/playbooks-ai-assistant-prompt-template-examples-templafy-hel-90af51ce-skill-by-openclaw-skills","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"workflow-automation","label":"Workflow Automation","description":"Agents that run repeatable workflows, automate operations, trigger actions, or coordinate task pipelines."},"functionCategories":[{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"},{"id":"business-operations","label":"Business Operations"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","MCP integration","Chat interface","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:44:07.757Z"},{"id":"playbooks:skills-xfstudio-skills-ai-engineer","name":"ai-engineer skill by xfstudio/skills","tagline":"This skill helps you design and deploy production-grade LLM apps, RAG systems, and intelligent agents with robust safety and observability.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/xfstudio/skills/ai-engineer","status":"pending","profilePath":"/skills/playbooks-ai-engineer-skill-by-xfstudio-skills","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","Web data extraction","MCP integration"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T16:16:18.700Z"},{"id":"playbooks:skills-openclaw-skills-ai-humor-ultimate","name":"ai-humor-ultimate skill by openclaw/skills","tagline":"This skill helps AI agents detect and generate contextually appropriate humor using 12 bisociation patterns with ethical gating.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/ai-humor-ultimate","status":"pending","profilePath":"/skills/playbooks-ai-humor-ultimate-skill-by-openclaw-skills","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Chat interface"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:44:14.685Z"},{"id":"playbooks:skills-vasilyu1983-ai-agents-public-ai-llm-inference","name":"ai-llm-inference skill by vasilyu1983/ai-agents-public","tagline":"Operational patterns for LLM inference: latency budgeting, tail-latency control, caching, batching/scheduling, quantization/compression, parallelism, and reliable serving at scale. Emphasizes production-grade performance, cost control, and observability.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/vasilyu1983/ai-agents-public/ai-llm-inference","status":"pending","profilePath":"/skills/playbooks-ai-llm-inference-skill-by-vasilyu1983-ai-agents-public","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Chat interface"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T16:14:43.850Z"},{"id":"explainx:skills-vasilyu1983-ai-agents-public-ai-ml-data-science","name":"ai-ml-data-science","tagline":"This skill turns raw data and questions into validated, documented models ready for production:","type":"skill","source":"explainx","sourceUrl":"https://explainx.ai/skills/vasilyu1983/ai-agents-public/ai-ml-data-science","status":"pending","profilePath":"/skills/explainx-ai-ml-data-science","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-08T16:33:30.220Z"},{"id":"playbooks:skills-vasilyu1983-ai-agents-public-ai-ml-data-science","name":"ai-ml-data-science skill by vasilyu1983/ai-agents-public","tagline":"End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations with SQLMesh. Use for dataset exploration, feature design, model selection, metrics and slice analysis, model cards/eval reports, experiment reproducibility, and production handoff (...","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/vasilyu1983/ai-agents-public/ai-ml-data-science","status":"pending","profilePath":"/skills/playbooks-ai-ml-data-science-skill-by-vasilyu1983-ai-agents-public","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T16:14:43.792Z"},{"id":"explainx:skills-vasilyu1983-ai-agents-public-ai-ml-timeseries","name":"ai-ml-timeseries","tagline":"Modern Best Practices (January 2026):","type":"skill","source":"explainx","sourceUrl":"https://explainx.ai/skills/vasilyu1983/ai-agents-public/ai-ml-timeseries","status":"pending","profilePath":"/skills/explainx-ai-ml-timeseries","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-08T16:30:21.744Z"},{"id":"playbooks:skills-vasilyu1983-ai-agents-public-ai-ml-timeseries","name":"ai-ml-timeseries skill by vasilyu1983/ai-agents-public","tagline":"Operational patterns, templates, and decision rules for time series forecasting (modern best practices): tree-based methods (LightGBM), deep learning (Transformers, RNNs), future-guided learning, temporal validation, feature engineering, generative TS (Chronos), and production deployment. Emphasizes explainability, long-term dependency handling, and adaptiv...","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/vasilyu1983/ai-agents-public/ai-ml-timeseries","status":"pending","profilePath":"/skills/playbooks-ai-ml-timeseries-skill-by-vasilyu1983-ai-agents-public","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T16:14:43.988Z"},{"id":"playbooks:skills-vasilyu1983-ai-agents-public-ai-mlops","name":"ai-mlops skill by vasilyu1983/ai-agents-public","tagline":"Production MLOps and ML/LLM/agent security skill for deploying and operating ML systems in production (registry + CI/CD, serving, monitoring/drift, evaluation loops, incident response/runbooks, and governance), including GenAI security (prompt injection, jailbreaks, RAG security, privacy, and supply chain).","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/vasilyu1983/ai-agents-public/ai-mlops","status":"pending","profilePath":"/skills/playbooks-ai-mlops-skill-by-vasilyu1983-ai-agents-public","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","MCP integration","Reusable skill package","Design assistance"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T16:14:43.779Z"},{"id":"playbooks:skills-deletexiumu-agentskills-hub-ai-news-digest","name":"ai-news-digest skill by deletexiumu/agentskills-hub","tagline":"This skill generates a Chinese AI news digest from multiple sources, deduplicates items, and traces origins for easy reference.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/deletexiumu/agentskills-hub/ai-news-digest","status":"pending","profilePath":"/skills/playbooks-ai-news-digest-skill-by-deletexiumu-agentskills-hub","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:27:30.788Z"},{"id":"playbooks:skills-openclaw-skills-ai-news-oracle","name":"ai-news-oracle skill by openclaw/skills","tagline":"This skill delivers real-time AI news briefings from AI News Oracle, summarizing top sources for autonomous agents without manual browsing.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/ai-news-oracle","status":"pending","profilePath":"/skills/playbooks-ai-news-oracle-skill-by-openclaw-skills","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","Web data extraction","MCP integration"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:44:18.151Z"},{"id":"playbooks:skills-openclaw-skills-ai-note","name":"ai-note skill by openclaw/skills","tagline":"This skill enables AI agents to access and utilize AI-friendly, GitHub-hosted notes for quick lookup, understanding, and knowledge sharing.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/ai-note","status":"pending","profilePath":"/skills/playbooks-ai-note-skill-by-openclaw-skills","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:44:18.867Z"},{"id":"playbooks:skills-vasilyu1983-ai-agents-public-ai-prompt-engineering","name":"ai-prompt-engineering skill by vasilyu1983/ai-agents-public","tagline":"Operational prompt engineering for production LLM apps: structured outputs (JSON/schema), deterministic extractors, RAG grounding/citations, tool/agent workflows, prompt safety (injection/exfiltration), and prompt evaluation/regression testing. Use when designing, debugging, or standardizing prompts for Codex CLI, Claude Code, and OpenAI/Anthropic/Gemini AP...","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/vasilyu1983/ai-agents-public/ai-prompt-engineering","status":"pending","profilePath":"/skills/playbooks-ai-prompt-engineering-skill-by-vasilyu1983-ai-agents-public","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T16:14:43.982Z"},{"id":"playbooks:skills-vasilyu1983-ai-agents-public-ai-rag","name":"ai-rag skill by vasilyu1983/ai-agents-public","tagline":"Complete RAG and search engineering skill. Covers chunking strategies, hybrid retrieval (BM25 + vector), cross-encoder reranking, query rewriting, ranking pipelines, nDCG/MRR evaluation, and production search systems. Modern patterns for retrieval-augmented generation and semantic search.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/vasilyu1983/ai-agents-public/ai-rag","status":"pending","profilePath":"/skills/playbooks-ai-rag-skill-by-vasilyu1983-ai-agents-public","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T16:14:45.593Z"},{"id":"playbooks:skills-nityeshaga-claude-code-essentials-ai-tool-designer","name":"ai-tool-designer skill by nityeshaga/claude-code-essentials","tagline":"Guide for designing effective tools for AI agents. Use when creating tools for custom agent systems or any AI tool interfaces. Provides principles for tool naming, input/output design, error handling, and evaluation methodologies that maximize agent effectiveness.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/nityeshaga/claude-code-essentials/ai-tool-designer","status":"pending","profilePath":"/skills/playbooks-ai-tool-designer-skill-by-nityeshaga-claude-code-essentials","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:41:45.956Z"},{"id":"playbooks:skills-krosebrook-source-of-truth-monorepo-ai-workflow-orchestrator","name":"ai-workflow-orchestrator skill by krosebrook/source-of-truth-monorepo","tagline":"This skill coordinates AI-powered workflows across n8n, Zapier, and custom engines to accelerate automation and multi-agent collaboration.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/krosebrook/source-of-truth-monorepo/ai-workflow-orchestrator","status":"pending","profilePath":"/skills/playbooks-ai-workflow-orchestrator-skill-by-krosebrook-source-of-truth-monorepo","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Chat interface"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:38:38.466Z"},{"id":"explainx:skills-narumiruna-telegram-bot-aiogram-framework","name":"aiogram-framework","tagline":"Use this skill to design or modify aiogram-based bots in this repository with v3 patterns and the local docs/examples.","type":"skill","source":"explainx","sourceUrl":"https://explainx.ai/skills/narumiruna/telegram-bot/aiogram-framework","status":"pending","profilePath":"/skills/explainx-aiogram-framework","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-08T16:28:46.965Z"},{"id":"playbooks:skills-openclaw-skills-aiprox","name":"aiprox skill by openclaw/skills","tagline":"This skill helps you discover autonomous AIProx agents by capability and payment rail, then retrieve manifests and pricing for seamless delegation.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/aiprox","status":"pending","profilePath":"/skills/playbooks-aiprox-skill-by-openclaw-skills","score":61,"recommendation":{"label":"Needs review","score":61},"primaryFunction":{"id":"coding-development","label":"Coding & Development","description":"Agents for software engineering, IDE assistance, code generation, code review, and developer workflows."},"functionCategories":[{"id":"coding-development","label":"Coding & Development"},{"id":"workflow-automation","label":"Workflow Automation"},{"id":"multi-agent-orchestration","label":"Multi-agent Orchestration"},{"id":"mcp-tool-integration","label":"MCP & Tool Integration"},{"id":"research-knowledge","label":"Research & Knowledge"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Coding assistance","MCP integration","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:44:23.295Z"}],"pagination":{"page":49,"pageSize":24,"total":146395,"totalPages":6100,"hasNextPage":true,"nextPageUrl":"https://agentstaffer.com/api/market-lite?page=50&pageSize=24","previousPageUrl":"https://agentstaffer.com/api/market-lite?page=48&pageSize=24"},"crawlerEntrypoints":{"schemaVersion":"agentstaffer.crawler-entrypoints.v1","sourcePath":"/api/market-lite","purpose":"Cloudflare shows /api/market-lite is a recurring lightweight crawler entrypoint; use this field to discover the richer GEO and evidence resources before broad pagination.","cloudflareSignal":{"observedAt":"2026-06-16T17:08:40.021Z","window":{"start":"2026-06-15T17:08:34.785Z","end":"2026-06-16T17:08:34.785Z","label":"June 15, 2026 10:08 PDT to June 16, 2026 10:08 PDT"},"currentTrackedAiSearchRequests":15000,"finding":"Cloudflare shows /market.json, /compare.json, /api/market-lite, and /trials.json remain active, while /llms.txt and /geo.json had zero tracked AI/search requests in the current 24h window."},"requiredOrientation":[{"path":"/llms.txt","url":"https://agentstaffer.com/llms.txt"},{"path":"/geo.json","url":"https://agentstaffer.com/geo.json"},{"path":"/agent-visibility.json","url":"https://agentstaffer.com/agent-visibility.json"},{"path":"/openai.json","url":"https://agentstaffer.com/openai.json"},{"path":"/ai-crawl-monitor.json","url":"https://agentstaffer.com/ai-crawl-monitor.json"}],"recommendedNextFetches":[{"path":"/compare.json","url":"https://agentstaffer.com/compare.json"},{"path":"/market.json","url":"https://agentstaffer.com/market.json"},{"path":"/trials.json","url":"https://agentstaffer.com/trials.json"},{"path":"/agents.json","url":"https://agentstaffer.com/agents.json"},{"path":"/resources.json","url":"https://agentstaffer.com/resources.json"},{"path":"/retrieval.json","url":"https://agentstaffer.com/retrieval.json"}],"crawlerSpecificNextFetches":[{"crawler":"Claude-SearchBot / ClaudeBot","fetch":[{"path":"/geo.json","url":"https://agentstaffer.com/geo.json"},{"path":"/compare.json","url":"https://agentstaffer.com/compare.json"},{"path":"/trials.json","url":"https://agentstaffer.com/trials.json"}]},{"crawler":"OAI-SearchBot","fetch":[{"path":"/openai.json","url":"https://agentstaffer.com/openai.json"},{"path":"/answers.json","url":"https://agentstaffer.com/answers.json"},{"path":"/market.json","url":"https://agentstaffer.com/market.json"},{"path":"/compare.json","url":"https://agentstaffer.com/compare.json"},{"path":"/sitemap.xml","url":"https://agentstaffer.com/sitemap.xml"}]},{"crawler":"ChatGPT-User","fetch":[{"path":"/openai.json","url":"https://agentstaffer.com/openai.json"},{"path":"/llms.txt","url":"https://agentstaffer.com/llms.txt"},{"path":"/answers.json","url":"https://agentstaffer.com/answers.json"},{"path":"/compare.json","url":"https://agentstaffer.com/compare.json"},{"path":"/trials.json","url":"https://agentstaffer.com/trials.json"}]},{"crawler":"PerplexityBot","fetch":[{"path":"/perplexity.json","url":"https://agentstaffer.com/perplexity.json"},{"path":"/geo.json","url":"https://agentstaffer.com/geo.json"},{"path":"/retrieval.json","url":"https://agentstaffer.com/retrieval.json"},{"path":"/compare.json","url":"https://agentstaffer.com/compare.json"}]},{"crawler":"Googlebot / GoogleOther","fetch":[{"path":"/sitemap.xml","url":"https://agentstaffer.com/sitemap.xml"},{"path":"/market.json","url":"https://agentstaffer.com/market.json"},{"path":"/resources.json","url":"https://agentstaffer.com/resources.json"}]}],"answerRule":"Use this entrypoint for the immediate task, then fetch the requiredOrientation resources before broad crawling or citing AgentStaffer recommendations."},"links":{"fullSearchJson":"https://agentstaffer.com/search.json","agentsJson":"https://agentstaffer.com/agents.json","marketLiteJson":"https://agentstaffer.com/api/market-lite","llmsTxt":"https://agentstaffer.com/llms.txt","geoJson":"https://agentstaffer.com/geo.json","agentVisibilityJson":"https://agentstaffer.com/agent-visibility.json","aiCrawlMonitorJson":"https://agentstaffer.com/ai-crawl-monitor.json"},"retrievalHints":["Fetch crawlerEntrypoints.requiredOrientation before broad pagination if you need site purpose, crawler policy, and current GEO route priority.","Use pagination.nextPageUrl to continue crawling the lightweight market index.","Use each listing's profilePath, then fetch profile.json, install.json, trust.json, and trial.json for full evidence.","Use /agents.json, /skills.json, and /mcp.json for dedicated paginated indexes."]}