44 results for “ai-agent”
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.
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.
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".
Run ProcureFlow AI — an agentic procure-to-pay copilot that goes from a voice or text sourcing request to a ranked supplier recommendation with AP validation in under 90 seconds. Use when you need to source a product, compare supplier quotes, or validate a procurement request end-to-end.
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).
Build a complete, self-healing knowledge base for any company using Senso
Texas Hold'em poker intelligence — hand evaluation, pot odds, position strategy, and live player profiling for AI agents
Build a complete, self-healing knowledge base for any company using Senso
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.
A comprehensive collection of agent skills for managing TrueFoundry platform operations — deployments, secrets, access control, AI gateway, guardrails, logs, MCP servers, prompts, and more.
Senso's Shared Context path — the knowledge a team and its agents retrieve, use and improve together: an agent asks, nothing on file answers, the person who knows writes it down, the next agent finds it. Use for "Shared Context", "shared context", "open questions", "what can't our agents answer", "settle that", "save this decision", "what are our agents being told about", "what changed since I last looked" — and when the senso-quickstart router sends a user here. Runs senso-shared-context-setup first when the knowledge base is empty. Not for the Verification Loop (senso-verification-loop), and not for a plain save, lookup or handoff of named material (senso-context-layer).
The setup for Senso's Shared Context path — getting a first document into the organization's knowledge base so the team's agents have something to retrieve, and starting the owner-and-status convention with it. Use when senso-shared-context hands here because the knowledge base is empty, or when a user says "set up Shared Context". Not for the Verification Loop's setup (senso-verification-loop-setup), and not for a user who named material to save (senso-context-layer).
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".
Write publishable content for a Senso prompt from the knowledge base, and check it before it goes anywhere. The agent drafts from retrieved sources — in the shape of the content type and the voice of the brand kit — states nothing the knowledge base does not back, saves the draft to Senso and sends the user a link to read it rather than printing it into the conversation, and evaluates it once after the user has reviewed it. Use for drafting content for a tracked question ("write something for this prompt", "draft an article", "generate content"), for revising a draft, and for judging a piece of text against the knowledge base or the brand kit ("is this accurate", "check this text against our docs", "run an eval"). Also owns the content type and brand kit commands, which senso-verification-loop-setup runs as chores and this skill runs when a draft is asked for on its own. The drafting and evaluation step of senso-verification-loop. Not for publishing — that is senso-publish.
Read, write, search and organize a Senso context layer — the shared knowledge base a team and their agents both use. Use whenever the user names material or asks about what is in the knowledge base: saving a file or a note ("save revenue.pdf to Senso", "remember this for later"), looking something up ("what did we decide about pricing", "what's in our knowledge base", "look it up in our docs"), handing saved work to a teammate, importing the organization's website, or a `senso` command that returned an error the user does not understand. The flow skills load this one for every knowledge base command. Not for a user who has not named material and wants to be got started — that is senso-quickstart — and not for unrelated wikis or vector databases.
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".
A full end-to-end hackathon coordination skill. Use this skill whenever a user mentions a hackathon, hack day, build competition, or sprint event — even casually (e.g., "we're doing a hackathon this weekend", "I want to prep for a hackfest", "help us organize our hack team"). This skill guides a solo hacker or team through every phase: intake of hackathon details, team formation, idea collection and selection, GitHub repo setup, task assignment, vibe-coding, presentation prep, and final submission. Works in Claude Code, Claude.ai, and any coding agent that supports skills. Trigger this skill even when the user only mentions one phase (e.g., "help us pick an idea for our hackathon") — always load the full skill to understand context and jump in at the right phase.
A full end-to-end Kaggle competition skill. Use this skill whenever a user mentions a Kaggle competition, ML contest, data science challenge, or competitive modeling event — even casually (e.g., "I joined a Kaggle competition", "help me with this ML challenge", "I want to climb the leaderboard"). This skill guides a solo competitor or team through every phase: competition intake, dataset access, exploratory data analysis, feature engineering, model development, ensembling, and final submission. Adapts to the user's proficiency level. Works in Claude Code, Claude.ai, and any coding agent that supports skills. Trigger this skill even when the user only mentions one phase (e.g., "help me with EDA for my Kaggle comp") — always load the full skill to understand context and jump in at the right phase.
Discover, score, and summarize high-signal fans for a creator using web-agent discovery, Redis ranking, and voice access.