{"schemaVersion":"agentstaffer.market-lite.v1","generatedAt":"2026-10-23T11:31:38.190Z","count":24,"listings":[{"id":"playbooks:skills-vasilyu1983-ai-agents-public-qa-docs-coverage","name":"qa-docs-coverage skill by vasilyu1983/ai-agents-public","tagline":"Docs as QA: audit doc coverage and freshness, validate runbooks, and maintain documentation quality gates for APIs, services, events, and operational workflows. Includes AI-assisted audits, observability patterns, and automated coverage tracking.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/vasilyu1983/ai-agents-public/qa-docs-coverage","status":"pending","profilePath":"/skills/playbooks-qa-docs-coverage-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":"2026-06-09T16:14:48.206Z"},{"id":"playbooks:skills-vasilyu1983-ai-agents-public-qa-observability","name":"qa-observability skill by vasilyu1983/ai-agents-public","tagline":"Implement and validate observability for quality engineering: OpenTelemetry logs/metrics/traces, W3C trace context propagation, SLI/SLO + error-budget release gates, burn-rate alerting, trace-based debugging for test failures, sampling/cardinality/cost controls, profiling (CPU/memory/continuous), synthetic/RUM signals, and APM stack integrations (Prometheus...","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/vasilyu1983/ai-agents-public/qa-observability","status":"pending","profilePath":"/skills/playbooks-qa-observability-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":"2026-06-09T16:14:46.807Z"},{"id":"playbooks:skills-shaul1991-shaul-agents-plugin-qa-tester","name":"qa-tester skill by shaul1991/shaul-agents-plugin","tagline":"This skill assists in writing, executing, and validating unit, integration, and end-to-end tests using Jest and Supertest.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/shaul1991/shaul-agents-plugin/qa-tester","status":"pending","profilePath":"/skills/playbooks-qa-tester-skill-by-shaul1991-shaul-agents-plugin","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":"evaluation-safety","label":"Evaluation & Safety"}],"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":"2026-06-09T16:11:21.447Z"},{"id":"playbooks:skills-vasilyu1983-ai-agents-public-qa-testing-android","name":"qa-testing-android skill by vasilyu1983/ai-agents-public","tagline":"Android testing with Espresso, UIAutomator, and Compose Testing; layered strategy, flake control, device matrix, CI integration, and ADB automation.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/vasilyu1983/ai-agents-public/qa-testing-android","status":"pending","profilePath":"/skills/playbooks-qa-testing-android-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":"2026-06-09T16:14:46.811Z"},{"id":"playbooks:skills-vasilyu1983-ai-agents-public-qa-testing-playwright","name":"qa-testing-playwright skill by vasilyu1983/ai-agents-public","tagline":"Use when writing E2E web tests, debugging flaky tests, or setting up Playwright CI. Covers: stable selectors (getByRole), parallelization/sharding, flake control, network mocking, visual testing, MCP/AI automation, and CI/CD integration.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/vasilyu1983/ai-agents-public/qa-testing-playwright","status":"pending","profilePath":"/skills/playbooks-qa-testing-playwright-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","Web data extraction","MCP integration"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T16:14:47.592Z"},{"id":"playbooks:skills-vasilyu1983-ai-agents-public-qa-testing-strategy","name":"qa-testing-strategy skill by vasilyu1983/ai-agents-public","tagline":"Risk-based quality engineering test strategy for software delivery. Use when defining or updating test strategy, selecting unit/integration/contract/E2E/performance/security coverage, setting CI quality gates and suite budgets, managing flaky tests and test data, and operationalizing observability-first debugging and release criteria.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/vasilyu1983/ai-agents-public/qa-testing-strategy","status":"pending","profilePath":"/skills/playbooks-qa-testing-strategy-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":"2026-06-09T16:14:47.473Z"},{"id":"playbooks:skills-proffesor-for-testing-agentic-qe-qe-code-intelligence","name":"qe-code-intelligence skill by proffesor-for-testing/agentic-qe","tagline":"This skill helps you build and query a knowledge graph for code, enabling semantic search, dependency mapping, and substantial token reduction.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/proffesor-for-testing/agentic-qe/qe-code-intelligence","status":"pending","profilePath":"/skills/playbooks-qe-code-intelligence-skill-by-proffesor-for-testing-agentic-qe","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":"2026-06-09T16:09:13.845Z"},{"id":"playbooks:skills-proffesor-for-testing-agentic-qe-qe-iterative-loop","name":"qe-iterative-loop skill by proffesor-for-testing/agentic-qe","tagline":"This skill orchestrates autonomous QE iteration loops to improve tests, coverage, and quality gates using AQE v3 fleet coordination.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/proffesor-for-testing/agentic-qe/qe-iterative-loop","status":"pending","profilePath":"/skills/playbooks-qe-iterative-loop-skill-by-proffesor-for-testing-agentic-qe","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":"2026-06-09T16:09:03.748Z"},{"id":"playbooks:skills-proffesor-for-testing-agentic-qe-qe-quality-assessment","name":"qe-quality-assessment skill by proffesor-for-testing/agentic-qe","tagline":"This skill scans code quality, enforces gates, and delivers actionable reports to speed reliable deployments and continuous improvement.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/proffesor-for-testing/agentic-qe/qe-quality-assessment","status":"pending","profilePath":"/skills/playbooks-qe-quality-assessment-skill-by-proffesor-for-testing-agentic-qe","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":"2026-06-09T16:09:02.901Z"},{"id":"playbooks:skills-proffesor-for-testing-agentic-qe-qe-security-compliance","name":"qe-security-compliance skill by proffesor-for-testing/agentic-qe","tagline":"This skill guides security auditing, vulnerability scanning, and compliance validation for OWASP, SOC2, GDPR, and related standards.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/proffesor-for-testing/agentic-qe/qe-security-compliance","status":"pending","profilePath":"/skills/playbooks-qe-security-compliance-skill-by-proffesor-for-testing-agentic-qe","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":"2026-06-09T16:09:06.771Z"},{"id":"playbooks:skills-proffesor-for-testing-agentic-qe-qe-test-generation","name":"qe-test-generation skill by proffesor-for-testing/agentic-qe","tagline":"This skill automates AI-powered test generation from code analysis and patterns to improve coverage across frameworks.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/proffesor-for-testing/agentic-qe/qe-test-generation","status":"pending","profilePath":"/skills/playbooks-qe-test-generation-skill-by-proffesor-for-testing-agentic-qe","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":"2026-06-09T16:09:03.463Z"},{"id":"playbooks:skills-proffesor-for-testing-agentic-qe-qe-visual-accessibility","name":"qe-visual-accessibility skill by proffesor-for-testing/agentic-qe","tagline":"This skill helps verify visual integrity, responsive layouts, and WCAG 2.2 compliance across browsers to prevent regressions and accessibility issues.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/proffesor-for-testing/agentic-qe/qe-visual-accessibility","status":"pending","profilePath":"/skills/playbooks-qe-visual-accessibility-skill-by-proffesor-for-testing-agentic-qe","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":"2026-06-09T16:09:03.586Z"},{"id":"playbooks:skills-openclaw-skills-qst-memory","name":"qst-memory skill by openclaw/skills","tagline":"This skill helps OpenClaw agents optimize memory management with state awareness, loop protection, and AI-driven auto-classification to reduce tokens.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/qst-memory","status":"pending","profilePath":"/skills/playbooks-qst-memory-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":"2026-06-09T15:58:07.980Z"},{"id":"mcpservers:agent-skills-github-quality-playbook","name":"quality-playbook","tagline":"Explore any codebase from scratch and generate six quality artifacts: a quality constitution (QUALITY.md), spec-traced functional tests, a code review protocol…","type":"skill","source":"mcpservers","sourceUrl":"https://mcpservers.org/agent-skills/github/quality-playbook","status":"pending","profilePath":"/skills/mcpservers-quality-playbook","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","Coding assistance","MCP integration","Reusable skill package","Design assistance","Multi-agent orchestration"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-15T15:13:13.627Z"},{"id":"playbooks:skills-fl-sean03-agentic-science-worker-quantum-espresso","name":"quantum-espresso skill by fl-sean03/agentic-science-worker","tagline":"Run Quantum ESPRESSO DFT calculations. Use when asked to perform first-principles calculations, SCF, structural relaxation, band structure, DOS, phonons, or any ab initio quantum mechanical calculation.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/fl-sean03/agentic-science-worker/quantum-espresso","status":"pending","profilePath":"/skills/playbooks-quantum-espresso-skill-by-fl-sean03-agentic-science-worker","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":"2026-06-09T15:29:37.616Z"},{"id":"playbooks:skills-bankrbot-skills-quicknode","name":"quicknode skill by bankrbot/skills","tagline":"This skill enables agents to read on-chain data across Base, Ethereum, Polygon, Solana, and Unichain via Quicknode RPC with optional x402 payments.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/bankrbot/skills/quicknode","status":"pending","profilePath":"/skills/playbooks-quicknode-skill-by-bankrbot-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":"2026-06-09T15:23:21.480Z"},{"id":"playbooks:skills-eyadsibai-ltk-rag-frameworks","name":"rag-frameworks skill by eyadsibai/ltk","tagline":"This skill helps you compare and choose retrieval augmented generation frameworks like LangChain, LlamaIndex, and Sentence Transformers for document QA.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/eyadsibai/ltk/rag-frameworks","status":"pending","profilePath":"/skills/playbooks-rag-frameworks-skill-by-eyadsibai-ltk","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":"2026-06-09T15:29:20.182Z"},{"id":"playbooks:skills-amnadtaowsoam-cerebraskills-rag-implementation","name":"rag-implementation skill by amnadtaowsoam/cerebraskills","tagline":"This skill guides you through building Retrieval-Augmented Generation pipelines with LangChain, enabling efficient document processing, embedding, and semantic","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/amnadtaowsoam/cerebraskills/rag-implementation","status":"pending","profilePath":"/skills/playbooks-rag-implementation-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","Reusable skill package"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:21:46.497Z"},{"id":"playbooks:skills-patricio0312rev-skills-rag-pipeline-builder","name":"rag-pipeline-builder skill by patricio0312rev/skills","tagline":"Designs retrieval-augmented generation pipelines for document-based AI assistants. Includes chunking strategies, metadata schemas, retrieval algorithms, reranking, and evaluation plans. Use when building \"RAG systems\", \"document search\", \"semantic search\", or \"knowledge bases\".","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/patricio0312rev/skills/rag-pipeline-builder","status":"pending","profilePath":"/skills/playbooks-rag-pipeline-builder-skill-by-patricio0312rev-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":"2026-06-09T16:06:24.617Z"},{"id":"playbooks:skills-vuralserhat86-antigravity-agentic-skills-rag-implementation","name":"rag_implementation skill by vuralserhat86/antigravity-agentic-skills","tagline":"Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/vuralserhat86/antigravity-agentic-skills/rag_implementation","status":"pending","profilePath":"/skills/playbooks-rag-implementation-skill-by-vuralserhat86-antigravity-agentic-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":"2026-06-09T16:15:20.748Z"},{"id":"playbooks:skills-openclaw-skills-railil","name":"railil skill by openclaw/skills","tagline":"This skill helps you search Israel Rail schedules with fuzzy station matching, date/time filters, and multiple output formats for agents.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/railil","status":"pending","profilePath":"/skills/playbooks-railil-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":"2026-06-09T15:58:14.672Z"},{"id":"playbooks:skills-hoodini-ai-agents-skills-railway","name":"railway skill by hoodini/ai-agents-skills","tagline":"This skill helps you deploy and manage applications on Railway, including databases, private networking, and multi-service setups.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/hoodini/ai-agents-skills/railway","status":"pending","profilePath":"/skills/playbooks-railway-skill-by-hoodini-ai-agents-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":"2026-06-09T15:31:47.428Z"},{"id":"playbooks:skills-openclaw-skills-ralstp-consultant","name":"ralstp-consultant skill by openclaw/skills","tagline":"This skill applies RALSTP methodology to analyze problems conceptually, identifying agents, landmarks, dependencies, and decomposition to guide planning.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/ralstp-consultant","status":"pending","profilePath":"/skills/playbooks-ralstp-consultant-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","MCP integration","Reusable skill package","Design assistance"],"protocolSupport":["mcp","http","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:58:16.425Z"},{"id":"playbooks:skills-openclaw-skills-ramalama-cli","name":"ramalama-cli skill by openclaw/skills","tagline":"This skill helps you run and manage AI agents with flexible model sourcing and local execution for safe, cost-effective tasks.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/ramalama-cli","status":"pending","profilePath":"/skills/playbooks-ramalama-cli-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":"2026-06-09T15:58:16.392Z"}],"pagination":{"page":89,"pageSize":24,"total":146395,"totalPages":6100,"hasNextPage":true,"nextPageUrl":"https://agentstaffer.com/api/market-lite?page=90&pageSize=24","previousPageUrl":"https://agentstaffer.com/api/market-lite?page=88&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","canonicalJson":"https://agentstaffer.com/market.json","html":"https://agentstaffer.com/market"},"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."],"canonicalUrl":"https://agentstaffer.com/market.json","htmlUrl":"https://agentstaffer.com/market","requestedUrl":"https://agentstaffer.com/market.json?page=89","sourceApiUrl":"https://agentstaffer.com/api/market-lite?page=89"}