AutoGPT

Draft a press release with the news first, checkable claims, approved quotes, and a boilerplate.

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Define each pipeline stage with an entry rule, an exit rule, and required proof.

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Use when the user names a release, a launch date, a pricing change, or enablement for sales or success: the tier call, the messaging doc, the enablement pack, dated owners working back from launch day, the go/no-go gate, and the 90-day measure.

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Use when a strategic partner needs more than an annual plan: one, three, and five-year horizons, a capability scorecard, and executive governance.

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Compare written policies with a named framework's control list and show gaps with evidence.

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Update, create, or reprioritize your product roadmap. Use when adding a new initiative and deciding what moves to make room, shifting priorities after new information comes in, moving timelines due to a dependency slip, or building a Now/Next/Later view from scratch.

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Use when the user names a feature to spec, a build decision, user stories, or acceptance criteria: the PRD with a scope line, stories a tester can check, UX direction at wireframe level, the success metric, and the engineering handoff.

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Use when the user names interviews, user research, a survey, a beta, or a pile of feedback to make sense of: the interview plan with a story opener, or ranked themes led by verbatim quotes with a roadmap verdict on each.

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Build a scalable outbound B2B sales machine with specialized roles (SDR, AE, CSM). Use when the user mentions "outbound sales", "Cold Calling 2.0", "cold email sequences", "sales pipeline", "SDR process", "sales development", "build an outbound sales team", or "fill my pipeline". Also trigger when setting up a B2B SaaS sales team from scratch or building a lead-qualification framework to improve close rates. Covers the three lead types (seeds/nets/spears), role specialization, the referral-email method, ANUM qualification, and pipeline math. For offer design, see hundred-million-offers. For persuasion science, see influence-psychology.

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Use when the user names an AI feature, an agent, a prompt, retrieval, evals, or model quality work: the scoped spec with a prompt set, a four-rung quality ladder, a scoreboard read over three runs, and the safety gates.

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Use when the user names an exec review, a board update, a steering meeting, or a stakeholder who needs the product story: the narrative spine, a graded scorecard with every number sourced, the roadmap mapped to their goals, risks with contingencies, and asks with owners and dates.

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Track and analyze portfolio company performance against plan. Ingests monthly/quarterly financial packages (Excel, PDF), extracts KPIs, flags variances to budget, and produces summary dashboards. Use when reviewing portfolio company financials, preparing board materials, or monitoring covenant compliance. Triggers on "review portfolio company", "monthly financials", "how is [company] performing", "covenant check", or "portfolio update".

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Use when a partner QBR or business review is coming: grade the quarter against benchmarks, co-draft the agenda, ship the pre-read, land the recap.

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Design experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods. Use when validating assumptions, testing feature ideas cheaply, or planning product experiments.

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Use when the user names positioning, messaging, narrative, or value props, or hands over a draft to sharpen: the positioning doc and the message house per audience.

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When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' 'should I offer a free plan,' 'pricing page teardown,' 'pricing page audit,' 'is my pricing page AI-readable,' or 'can AI read my pricing.' Use this whenever someone is figuring out what to charge, how to structure their plans, or wants to audit a pricing page (for humans and for the AI agents that shortlist tools). For in-app upgrade screens, see paywalls. For offer construction (bonuses, guarantees, value framing, naming) on services/courses/coaching/high-ticket B2B, see offers.

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Set up a vendor purchase from business need through evidence, approval, renewal, and owner tracking.

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Set up product work from goals, users, feedback sources, metrics, and decision owners.

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Use when the user names an A/B test, an experiment, a growth bet, or a before-and-after read: the plan with one primary metric, guardrails, a computed sample size, precommitted interpretation bands, then the scale-extend-or-kill readout.

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Use when the user names pricing, packaging, tiers, or discounts, or hands over a price list, competitor pricing, or deal terms: the pricing recommendation with guardrails and mix impact.

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Prepare an internal approval brief for a price or term request, with policy position, business case, risks, give-get, and named approvers.

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When the user wants to create or update their product marketing context document. Also use when the user mentions 'product context,' 'marketing context,' 'set up context,' 'positioning,' 'who is my target audience,' 'describe my product,' 'ICP,' 'ideal customer profile,' or wants to avoid repeating foundational information across marketing tasks. Use this at the start of any new project before using other marketing skills — it creates `.agents/product-marketing.md` that all other skills reference for product, audience, and positioning context.

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Draft requirements with scope, user stories, acceptance criteria, open questions, and success measure.

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Initialize the productivity system and open the dashboard. Use when setting up the plugin for the first time, bootstrapping working memory from your existing task list, or decoding the shorthand (nicknames, acronyms, project codenames) you use in your todos.

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