First skill of the agent-biz pipeline. Use when a user wants to bootstrap an AI-operated virtual startup ("I want to start a [business idea]", "set up an agent-biz", "create a virtual startup", "agent biz intake"). Takes a rough business plan from the founder (a paragraph to a full plan) and produces a structured, reviewable standardized plan. After founder approval, automatically invokes agent-biz-team-selection to continue the pipeline.
Third and final skill of the agent-biz pipeline. Use when both an approved plan.md and a confirmed team-manifest.yaml exist and a company repo needs to be created. Executes the 8-phase provisioning flow — initializes a git repo at ~/.config/agent-biz/companies/{slug}/, writes all canonical files (CONTRACT.md, decisions.md, ledger.md, agents/, policies/, README.md, etc.), and produces the founding commit. After provisioning the skill exits.
Second skill of the agent-biz pipeline. Use when an approved plan.md exists and a team manifest needs to be produced. Reads the founder's approved standardized plan and runs the 6-step team-selection algorithm to produce a YAML manifest of agents. After founder confirmation, automatically invokes agent-biz-provisioning.
Assemble a virtual panel of 5 real-world subject matter experts to review a product, app, design, strategy, or creative work. Each expert delivers feedback in their authentic voice grounded in their known philosophies and public record. Use when the user wants expert feedback, says 'expert panel', 'get feedback from experts', 'what would X think', 'review this like an expert', 'panel review', or presents something for multi-perspective critique. Works for any domain — tech, design, music, business, writing, etc.
Automate creation of multiple audio overviews in Google NotebookLM using Playwright. Use when the user needs to generate multiple audio podcasts from web sources with different prompts or focus areas, or when batch-creating NotebookLM audio content.
Create structured Google NotebookLM lesson plans with curated sources and tailored audio overview prompts. Use when the user wants to create a NotebookLM notebook, generate learning content with audio overviews, or build a curriculum with multiple focused segments. Handles both single lesson creation and batch processing of multiple topics.