RanBOT Labs

Use when an agent workflow needs deterministic recovery evidence for sandbox, MCP/tool, worker, checkpoint, memory, or orchestration failures.

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Email infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and inspect billing balance via the AgentMail API.

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Turns requirements into a precise, dependency-aware implementation plan.

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Generate project-specific AGENTS.md and companion rules by analyzing a codebase. Supports full, minimal, update, and dry-run modes with package-manager detection, monorepos, backups, managed blocks, c

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Schedule AI agent runs with cron, loops, or external clocks while avoiding unsafe tight autonomous timers.

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Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.

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Produces clean, functional code that matches the architecture and checklists.

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Cleans up and improves existing code without changing behavior.

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Verifies specified behavior through appropriate tests and truthful coverage reports.

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Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary.

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Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review,

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Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.

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Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where att

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Translates user intent into a precise, unambiguous specification and requirements.

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Debug, patch, and verify failed Agent QA runs from MCP evidence, artifacts, logs, and local code without hiding product or infrastructure defects.

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Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.

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Automate Affinity tasks via Rube MCP (Composio). Always search tools first for current schemas.

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Build AI phone agents with AgentPhone API. Use when the user wants to make phone calls, send/receive SMS, manage phone numbers, create voice agents, set up webhooks, or check usage — anything relate

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Automate Agentql tasks via Rube MCP (Composio). Always search tools first for current schemas.

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Handles containerization, CI/CD pipelines, and deployment setup.

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Designs the data model, API contracts, and structural foundation of the system.

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Triage failed Agent QA runs with MCP evidence, artifacts, logs, fixed failure categories, confidence, and actionable next steps.

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Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.

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Reviews code for objective correctness, security, and reliability.

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