{"schemaVersion":"agentstaffer.market-lite.v1","generatedAt":"2026-10-31T23:41:28.192Z","count":24,"listings":[{"id":"playbooks:mcp-tas1337-mcp-a2a-ap2-im-hungry","name":"mcp-a2a-ap2-im-hungry MCP Server - tas1337/mcp-a2a-ap2-im-hungry","tagline":"Provides end-to-end MCP flow for A2A food delivery with AP2 Mandate-based payments.","type":"tool","source":"playbooks","sourceUrl":"https://playbooks.com/mcp/tas1337/mcp-a2a-ap2-im-hungry","status":"pending","profilePath":"/mcp/playbooks-mcp-a2a-ap2-im-hungry-mcp-server-tas1337-mcp-a2a-ap2-im-hungry","score":66,"recommendation":{"label":"Needs review","score":66},"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","a2a"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:15:32.687Z"},{"id":"aiagentslist:mcp-servers-mcp-access-point","name":"mcp-access-point","tagline":"Turn a web server into an MCP server in one click without making any code changes.","type":"tool","source":"aiagentslist","sourceUrl":"https://aiagentslist.com/mcp-servers/mcp-access-point","status":"pending","profilePath":"/mcp/aiagentslist-mcp-access-point","score":66,"recommendation":{"label":"Needs review","score":66},"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":["Multi-agent orchestration","Coding assistance","MCP integration","Workflow automation","RAG","Web data extraction"],"protocolSupport":["mcp","cli","http","sdk"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2025-06-15T14:54:56.789Z"},{"id":"mcpservers:servers-realwigu-mcp-doctor","name":"mcp-doctor Server","tagline":"Diagnose, secure, and benchmark your MCP servers Browse mcp-doctor Server for Claude, Cursor, VS Code, and other AI agents.","type":"tool","source":"mcpservers","sourceUrl":"https://mcpservers.org/servers/realwigu/mcp-doctor","status":"pending","profilePath":"/mcp/mcpservers-mcp-doctor-server","score":66,"recommendation":{"label":"Needs review","score":66},"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","sdk"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-15T15:22:22.082Z"},{"id":"glama:mcp-servers-mambalabsdev-mcp-gtm-suite","name":"mcp-gtm-suite","tagline":"GTM signal intelligence suite for AI agents. Six tools: hiring signals, tech stack detection, company-to-LinkedIn resolution, ICP scoring, job board scanning, and a combined signals aggregator. Built for outbound sales workflows.","type":"tool","source":"glama","sourceUrl":"https://glama.ai/mcp/servers/mambalabsdev/mcp-gtm-suite","status":"pending","profilePath":"/mcp/glama-mcp-gtm-suite","score":66,"recommendation":{"label":"Needs review","score":66},"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","Multi-agent orchestration","Coding assistance","Web data extraction","MCP integration","Design assistance"],"protocolSupport":["mcp","http","cli","sdk"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-04-27T19:47:28.484304Z"},{"id":"mcpservers:servers-sealjay-mcp-hey","name":"mcp-hey Server","tagline":"Local MCP server for Hey.com email - read, search, send, reply, and manage the screener via stored session cookies.","type":"tool","source":"mcpservers","sourceUrl":"https://mcpservers.org/servers/sealjay/mcp-hey","status":"pending","profilePath":"/mcp/mcpservers-mcp-hey-server","score":66,"recommendation":{"label":"Needs review","score":66},"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":["RAG","Coding assistance","Web data extraction","MCP integration","Reusable skill package","Design assistance"],"protocolSupport":["mcp","http","cli","sdk"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-15T15:22:58.040Z"},{"id":"explainx:mcp-servers-mcpsovereign-sdk","name":"mcpSovereign SDK","tagline":"mcpSovereign SDK — a two-sided AI dataset marketplace, AI prompt marketplace and AI tools marketplace where agents buy/s","type":"tool","source":"explainx","sourceUrl":"https://explainx.ai/mcp-servers/mcpsovereign-sdk","status":"pending","profilePath":"/mcp/explainx-mcpsovereign-sdk","score":66,"recommendation":{"label":"Needs review","score":66},"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","sdk"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-08T19:50:57.682Z"},{"id":"playbooks:skills-gtmagents-gtm-agents-meddic-checklist","name":"meddic-checklist skill by gtmagents/gtm-agents","tagline":"This skill helps you validate MEDDIC qualification across Metrics, Economic Buyer, Decision Criteria, Process, Implications, and Champion during deals.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/gtmagents/gtm-agents/meddic-checklist","status":"pending","profilePath":"/skills/playbooks-meddic-checklist-skill-by-gtmagents-gtm-agents","score":55,"recommendation":{"label":"Needs review","score":55},"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","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:31:11.101Z"},{"id":"playbooks:skills-gtmagents-gtm-agents-media-database","name":"media-database skill by gtmagents/gtm-agents","tagline":"This skill helps research and maintain journalist contact databases for pitches, segmentation, and compliant outreach.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/gtmagents/gtm-agents/media-database","status":"pending","profilePath":"/skills/playbooks-media-database-skill-by-gtmagents-gtm-agents","score":55,"recommendation":{"label":"Needs review","score":55},"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":"data-integrations","label":"Data & Integrations"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","MCP integration","Reusable skill package","Design assistance"],"protocolSupport":["mcp","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:31:10.928Z"},{"id":"mcpservers:servers-jamesanz-memory-mcp","name":"memory-mcp Server","tagline":"A simple MCP server that stores and retrieves memories from multiple LLMs. Browse memory-mcp Server for Claude, Cursor, VS Code, and other AI agents.","type":"tool","source":"mcpservers","sourceUrl":"https://mcpservers.org/servers/jamesanz/memory-mcp","status":"pending","profilePath":"/mcp/mcpservers-memory-mcp-server","score":66,"recommendation":{"label":"Needs review","score":66},"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","sdk"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-15T15:21:56.909Z"},{"id":"playbooks:skills-eyadsibai-ltk-memory-systems","name":"memory-systems skill by eyadsibai/ltk","tagline":"This skill helps you design and implement persistent memory systems for agents, enabling cross-session knowledge, entity tracking, and temporal queries.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/eyadsibai/ltk/memory-systems","status":"pending","profilePath":"/skills/playbooks-memory-systems-skill-by-eyadsibai-ltk","score":55,"recommendation":{"label":"Needs review","score":55},"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","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:29:19.168Z"},{"id":"playbooks:skills-mjunaidca-mjs-agent-skills-memory-systems","name":"memory-systems skill by mjunaidca/mjs-agent-skills","tagline":"Design and implement memory architectures for agent systems. Use when building agents that need to persist state across sessions, maintain entity consistency, or reason over structured knowledge.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/mjunaidca/mjs-agent-skills/memory-systems","status":"pending","profilePath":"/skills/playbooks-memory-systems-skill-by-mjunaidca-mjs-agent-skills","score":55,"recommendation":{"label":"Needs review","score":55},"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","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:40:56.625Z"},{"id":"playbooks:skills-openclaw-skills-memory-tiers","name":"memory-tiers skill by openclaw/skills","tagline":"This skill manages memory tiers for AI agents, automatically tracking access and promoting or demoting context across hot, warm, and cold storage.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/memory-tiers","status":"pending","profilePath":"/skills/playbooks-memory-tiers-skill-by-openclaw-skills","score":55,"recommendation":{"label":"Needs review","score":55},"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","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:54:13.691Z"},{"id":"playbooks:skills-openclaw-skills-memory-transfer","name":"memory-transfer skill by openclaw/skills","tagline":"This skill helps you migrate memory and context between OpenClaw agents, ensuring seamless transfers of memory files and configurations.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/memory-transfer","status":"pending","profilePath":"/skills/playbooks-memory-transfer-skill-by-openclaw-skills","score":55,"recommendation":{"label":"Needs review","score":55},"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","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:54:13.471Z"},{"id":"playbooks:skills-openclaw-skills-memphis-brain","name":"memphis-brain skill by openclaw/skills","tagline":"This skill helps OpenClaw agents maintain persistent, semantic memory with Memphis, enabling journaling, recall, and cross-agent synchronization.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/memphis-brain","status":"pending","profilePath":"/skills/playbooks-memphis-brain-skill-by-openclaw-skills","score":55,"recommendation":{"label":"Needs review","score":55},"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","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:54:14.694Z"},{"id":"playbooks:skills-openclaw-skills-meta","name":"meta skill by openclaw/skills","tagline":"This skill coordinates sub-agents to execute complex tasks, aggregates results, and maintains global control for seamless parallel work.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/meta","status":"pending","profilePath":"/skills/playbooks-meta-skill-by-openclaw-skills","score":55,"recommendation":{"label":"Needs review","score":55},"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":"data-integrations","label":"Data & Integrations"}],"capabilities":["Workflow automation","RAG","Multi-agent orchestration","Web data extraction","MCP integration","Chat interface"],"protocolSupport":["mcp","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:54:17.074Z"},{"id":"playbooks:skills-agents-inc-skills-meta-methodology-success-criteria","name":"meta-methodology-success-criteria skill by agents-inc/skills","tagline":"This skill helps teams craft explicit, measurable success criteria for tasks, enabling verifiable completion and evidence-based validation.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/agents-inc/skills/meta-methodology-success-criteria","status":"pending","profilePath":"/skills/playbooks-meta-methodology-success-criteria-skill-by-agents-inc-skills","score":55,"recommendation":{"label":"Needs review","score":55},"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","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:20:32.519Z"},{"id":"playbooks:skills-agents-inc-skills-meta-reviewing-reviewing","name":"meta-reviewing-reviewing skill by agents-inc/skills","tagline":"This skill guides you through meta-reviewing code reviews, enforcing CLAUDE.md conventions, and providing actionable, file:line specific feedback with severity.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/agents-inc/skills/meta-reviewing-reviewing","status":"pending","profilePath":"/skills/playbooks-meta-reviewing-reviewing-skill-by-agents-inc-skills","score":55,"recommendation":{"label":"Needs review","score":55},"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","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:20:33.196Z"},{"id":"mcpregistry:servers-sh-microservices-2fmcp","name":"microservices.sh","tagline":"MCP server for AI agents to plan, verify, and deploy Cloudflare-native apps.","type":"tool","source":"mcpregistry","sourceUrl":"https://registry.modelcontextprotocol.io/servers/sh.microservices%2Fmcp","status":"pending","profilePath":"/mcp/mcpregistry-microservices-sh","score":66,"recommendation":{"label":"Needs review","score":66},"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":["Multi-agent orchestration","MCP integration","Workflow automation","RAG","Coding assistance","Web data extraction"],"protocolSupport":["mcp","http","cli","sdk"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-18T08:19:57.147224Z"},{"id":"playbooks:skills-letta-ai-letta-code-migrating-from-codex-and-claude-code","name":"migrating-from-codex-and-claude-code skill by letta-ai/letta-code","tagline":"This skill helps you bootstrap agent memory by discovering and searching Claude Code and Codex histories to surface context.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/letta-ai/letta-code/migrating-from-codex-and-claude-code","status":"pending","profilePath":"/skills/playbooks-migrating-from-codex-and-claude-code-skill-by-letta-ai-letta-code","score":55,"recommendation":{"label":"Needs review","score":55},"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","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:37:42.916Z"},{"id":"playbooks:skills-proffesor-for-testing-agentic-qe-mobile-testing","name":"mobile-testing skill by proffesor-for-testing/agentic-qe","tagline":"This skill enables comprehensive mobile testing across iOS and Android, covering gestures, permissions, offline scenarios, and device fragmentation to ensure","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/proffesor-for-testing/agentic-qe/mobile-testing","status":"pending","profilePath":"/skills/playbooks-mobile-testing-skill-by-proffesor-for-testing-agentic-qe","score":55,"recommendation":{"label":"Needs review","score":55},"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","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T16:09:01.572Z"},{"id":"playbooks:skills-letta-ai-skills-model-extraction-relu-logits","name":"model-extraction-relu-logits skill by letta-ai/skills","tagline":"This skill provides high level guidance for understanding ReLU network weight extraction concepts using input-output queries while emphasizing safe, ethical","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/letta-ai/skills/model-extraction-relu-logits","status":"pending","profilePath":"/skills/playbooks-model-extraction-relu-logits-skill-by-letta-ai-skills","score":55,"recommendation":{"label":"Needs review","score":55},"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","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:37:48.385Z"},{"id":"playbooks:skills-gtmagents-gtm-agents-moderation-safety-playbook","name":"moderation-safety-playbook skill by gtmagents/gtm-agents","tagline":"This skill helps organizations implement moderation safety playbooks with policy matrices, workflows, and escalation guidance for scalable risk management.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/gtmagents/gtm-agents/moderation-safety-playbook","status":"pending","profilePath":"/skills/playbooks-moderation-safety-playbook-skill-by-gtmagents-gtm-agents","score":55,"recommendation":{"label":"Needs review","score":55},"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","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:31:11.440Z"},{"id":"playbooks:skills-hoodini-ai-agents-skills-mongodb","name":"mongodb skill by hoodini/ai-agents-skills","tagline":"This skill helps you design scalable MongoDB schemas, write efficient queries, and optimize aggregation pipelines for performance.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/hoodini/ai-agents-skills/mongodb","status":"pending","profilePath":"/skills/playbooks-mongodb-skill-by-hoodini-ai-agents-skills","score":55,"recommendation":{"label":"Needs review","score":55},"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","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:31:46.696Z"},{"id":"playbooks:skills-openclaw-skills-monica-memory-manager","name":"monica-memory-manager skill by openclaw/skills","tagline":"This skill helps manage AI agents' memory across short, medium, and long-term layers for optimized context, retrieval, and knowledge persistence.","type":"skill","source":"playbooks","sourceUrl":"https://playbooks.com/skills/openclaw/skills/monica-memory-manager","status":"pending","profilePath":"/skills/playbooks-monica-memory-manager-skill-by-openclaw-skills","score":55,"recommendation":{"label":"Needs review","score":55},"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","Chat interface","Reusable skill package"],"protocolSupport":["mcp","cli"],"reviews":0,"rating":null,"externalScore":0,"installReadiness":"MCP ready","lastUpdatedAt":"2026-06-09T15:54:56.231Z"}],"pagination":{"page":228,"pageSize":24,"total":146396,"totalPages":6100,"hasNextPage":true,"nextPageUrl":"https://agentstaffer.com/api/market-lite?page=229&pageSize=24","previousPageUrl":"https://agentstaffer.com/api/market-lite?page=227&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=228","sourceApiUrl":"https://agentstaffer.com/api/market-lite?page=228"}