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.

Retired. This skill's contents moved to three skills — senso-verification-loop-setup (the industry, the brand name, the segment), senso-verification-loop (where the brand stands, the next question it is missing from, the accuracy of answers that name it) and senso-gap-report (the gap report). It no longer does anything. If it is loaded, tell the user to run `senso setup` to install the current skills, and use those.

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.

Guide the Senso v2 onboarding experiment: understand the brand, bring in relevant knowledge, compare a recorded external AI answer with approved facts, stage a checked draft with evidence, then publish when requested. Use for Senso quickstart v2, testing the new verification loop, or continuing a v2 onboarding session. Ordinary file saves belong to 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).

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).

Hackathon MVP for an entity intelligence cache — query → Redis semantic cache → Ghost (Postgres) entities → Tinyfish Search + mock retrieval → distillation → deltas → synthesis; optional Senso KB publish for cited.md pipeline.

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

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".

Add, configure, and integrate assistant-ui components in React apps. Use when developers ask to add a chat thread, set up a runtime, integrate with AI SDK, configure tools, or build AI chat interfaces with assistant-ui.

AI-powered bedroom stylist that analyzes room photos, generates designer makeover plans with real shoppable products from Amazon, Target & IKEA — all within a user-specified budget.

Set up a data ingestion or sync pipeline — from source to destination, with transformation. Supports Airbyte, custom ETL scripts, and webhook-based ingestion. Use when the user says "sync data from X", "pull data into the DB", "set up a pipeline", or "ingest from API".

Query a live San Francisco situational awareness system. Use this skill when the user asks about current SF conditions — aircraft overhead, active fire/police/EMS incidents, Muni transit, radio scanner activity, traffic events, or system health. Connects to the Monitoring the Situation REST API.

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.

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".

Voice-first AI senior care companion. Calls seniors daily to check mood, medications, and needs. Detects falls, loneliness, and service requests (food, medicine, bathing, transportation). Alerts family with recommended local services. Use when building senior care, voice AI, or healthcare check-in applications.

Search your Senso.ai knowledge base hands-free through Edith smart glasses. Triggers on knowledge/document queries.

Build an AI-powered healthcare intake assistant with a lip-synced Anam avatar, LiveKit voice pipeline, and real-time form updates via RPC

Ingest documents into your Senso.ai knowledge base through Edith smart glasses. Triggers when user wants to add content to their knowledge base.