Guides agents through autonomous ManiSkill and VSLAM evaluation, tuning, verification, memory storage, and summary writing using the Autolab MCP server and repo tooling.

Build self-improving runtime security for autonomous AI agents — intercept actions, dispatch adversarial investigators, generate evolving scoring rules, and enforce deterministic block decisions with no LLM in the enforcement path.

Add voice AI to an app — inbound/outbound phone calls, voice agents, or speech-to-text/text-to-speech pipelines. Supports Bland AI, ElevenLabs, Deepgram, and Web Speech API. Use when the user says "add voice", "make it speak", "phone call feature", or "voice agent".

Build and configure an AI-powered phone hotline for loan support using Bland AI, Auth0, and Senso. USE FOR: setting up AI phone agents for lending, creating voice-based loan support systems, integrating Auth0 passwordless OTP with Bland AI voice agents, connecting Senso knowledge bases to phone call workflows, building fintech customer service hotlines. NOT FOR: general web app development, non-voice chatbots, or projects unrelated to phone-based loan support.

Voice AI agent skills and MCP tools for Bland AI. Make phone calls, manage personas, knowledge bases, pathways, and more. Use when the user wants to build, test, or manage AI-powered phone agents.

Voice AI agent skills and MCP tools for Bland AI. Make phone calls, manage personas, knowledge bases, pathways, and more. Use when the user wants to build, test, or manage AI-powered phone agents.

Sets up and operates Airbyte Agent Connectors — strongly typed Python packages for accessing 51+ third-party SaaS APIs through a unified entity-action interface. Supported services include Salesforce, HubSpot, Stripe, GitHub, Slack, Jira, Shopify, Zendesk, Google Ads, Notion, Linear, Intercom, Gong, and 36 more connectors spanning CRM, billing, payments, e-commerce, marketing, analytics, project management, helpdesk, developer tools, HR, and communication platforms. Make sure to use this skill when the user wants to connect to any SaaS API, install an airbyte-agent connector package, integrate third-party service data into a Python application or AI agent, query or search records from any supported service, or configure Airbyte MCP tools for Claude. Covers Platform Mode (Airbyte Cloud) and OSS Mode (local Python SDK).

Package and deploy an AI agent to production with logging, tracing, and health checks. Supports TrueFoundry, Modal, Railway, Fly.io, and containerized deploys. Use when the user says "deploy this agent", "put this in prod", "containerize my agent", or "add observability".

A comprehensive collection of agent skills for managing TrueFoundry platform operations — deployments, secrets, access control, AI gateway, guardrails, logs, MCP servers, prompts, and more.

the best framework to build agent for claude code.

Autonomous product feedback monitoring agent. Ingests signals from GitHub, reviews, Slack. Learns what matters to you. Calls you when it's critical. Gets smarter with every interaction.

Autonomous multi-source security intelligence agent. Scans GitHub PRs for vulnerabilities using cross-source context from Slack and codebase architecture. Finds risks that single-source scanners miss by correlating data across tools.

Autonomous incident response and self-healing codebase agent. Use when building SRE automation, incident pipelines, error detection, auto-remediation, or production monitoring systems. Covers the full lifecycle from error ingestion to diagnosis, fix generation, approval gating, phone escalation, and deployment.

Evaluate, score, and systematically improve prompts in the codebase. Identifies weak prompts, generates test cases, scores outputs, and proposes optimized versions. Use when the user says "improve this prompt", "why is the AI doing X", "eval my prompts", or "optimize the agent".

Use when working in the Rabbit Hole repository to start Docker services, run the backend and frontend, verify Aerospike and Airbyte wiring, and recover the demo stack quickly before a live demo.