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.

Take a brand new Senso org from empty to fully populated self-improving knowledge system in 10 minutes. Researches the user's company from their website plus external sources, builds out the knowledge base with brand kit, content types, and tracking prompts, generates the first drafts, publishes sample citeables, kicks off GEO monitoring, and files a self-heal report with gap analysis. The first-run experience for any new Senso user. Use when the user runs Senso for the first time or says "set up Senso", "run onboarding", or "populate my knowledge base".

Generate brand-aligned content using the Senso content engine. Orchestrates brand kit verification, content type selection, prompt management, and generation runs. Use when the user wants to generate content like blog posts, FAQs, comparison pages, or any templated output from their knowledge base.

The one-time setup for Senso's Verification Loop: the brand's own material in the knowledge base, the industry set, the brand name confirmed, which part of the industry they occupy noted, and the content type and brand kit ready for drafting. Use when senso-verification-loop hands here because an organization is not set up, or when a user names one of these chores — "set my industry", "what industry are we", "match me to an industry", "change my industry", "is my brand name right", "which part of the industry do we cover". A user who asks for the loop itself belongs to senso-verification-loop, which runs this skill first when it has to. Not for finding a question, drafting or publishing, and not for a user who named material to save, which is senso-context-layer.

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.

Senso's Verification Loop — find a question people in the brand's industry ask AI models where a competitor gets named and the brand does not, fix it from the brand's own material, and publish a verified page every line of which traces to a document they supplied; then the next one. Use for "let's go through the Verification Loop", "Verification Loop", "fill another gap", "what am I missing from", "how do I rank", "am I being cited", "who's beating us", "where do we stand", "how are our tracked questions doing", "what do the models say about us" and "check what the models say about us" — and when the senso-quickstart router sends a user here. Runs the setup skill first when the organization is not set up. Not for a user who named material to save (senso-context-layer), and not for the gap report on its own (senso-gap-report).

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.

Read and work a Senso organization's gap report — the questions and claims its knowledge base could not back up, and what was decided about each. Use for "what are my gaps", "what can't we answer", "what's missing from our knowledge base", "show the gap report", for acting on a gap someone already found ("close this gap", a gap id in hand), for recording that content was written for a gap, and for dismissing one. Not for finding the next industry question the brand is missing from — that is senso-verification-loop — and not for writing content, which is senso-generate-verify.

Build a complete, self-healing knowledge base for any company using Senso

Build a complete, self-healing knowledge base for any company using Senso

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.

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.

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".

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.