async-decision-memo
openbooklet.com/s/async-decision-memoopenbooklet.com/s/[email protected]GET /api/v1/skills/async-decision-memoRun a decision asynchronously â the memo, the silent-read window, the comment protocol, and the deadline that makes it land without a meeting. Use when asked to decide something async, replace a decision meeting with a document, run an Amazon-style written decision process, or when a decision keeps stalling in comment threads. Produces the decision memo plus the process wrapper: reader roles, response windows, comment-resolution rules, and the tie-breaker. For the document structure alone use decision-memo; this skill runs the process around it.
Design statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set up an experiment, design an A/B test, calculate sample size, or interpret test results. Produces a complete test plan with hypothesis, variant definitions, sample size, duration estimate, guardrail metrics, and a results interpretation guide.
Build a structured account plan for any key customer or target account. Use when asked to create an account plan, key account strategy, strategic account review, or territory plan. Produces a complete account plan with relationship map, growth opportunities, risks, and 90-day action plan.
Write platform-native paid ad copy with multiple angles to test. Use when asked to write ad copy, Google/Facebook/LinkedIn/Instagram ads, PPC headlines, or paid social creative copy. Produces ready-to-ship variants per platform (headlines, primary text, descriptions, CTAs) across distinct angles, sized to each platform's limits, with a note on what each variant tests.
Optimize an article for Answer Engine Optimization (AEO) â restructuring content so AI engines like ChatGPT, Perplexity, and Claude can extract, quote, and cite it. Rewrites headings as questions, drops 50-80 word answer capsules, audits paragraph length, and flags trust signals. Use when asked to AEO-optimize, make content AI-readable, improve AI citation chances, or adapt an article for answer engines.
Redesign seat-based pricing for the agent era â when one human runs ten agents, per-seat models collapse. Use when agents are eroding seat counts, when asked to migrate to usage- or outcome-based pricing, to price an agent/API tier, or to defend revenue as customers automate their own usage. Produces a pricing migration plan: the new value metric, fences, agent-tier design, cannibalisation math, and a phased migration for existing customers. For general pricing and packaging strategy use pricing-strategy.
Conduct an ethical review of an AI or ML feature, model, or product. Use when asked to run an AI ethics review, assess AI risks, audit a model for bias, or produce an AI impact assessment. Produces a structured ethics review covering fairness, transparency, privacy, safety, accountability, and societal impact with prioritised mitigations.
Structure AI and ML product decisions with the rigour of any product decision. Use when building AI-powered features, evaluating LLM integrations, designing AI products, or assessing AI readiness. Produces a complete AI product canvas covering problem definition, model approach, data requirements, evaluation framework, UX design, responsible AI checklist, and launch monitoring plan.
Audit whether the organisation's AI spend actually paid â measured against baselines, not vendor math or vibes. Use when a CFO asks what the AI tools returned, when renewing AI contracts, when consolidating overlapping AI subscriptions, or to build the measurement plan before the next spend. Produces an ROI audit with per-tool verdicts (keep/consolidate/cut), the honest-measurement method behind each number, and a baseline plan for whatever can't be scored yet. To forecast ROI before an investment use roi-estimator; this skill measures what already happened.
Structure vague opportunities and unclear briefs into actionable one-page problem statements. Use when asked to clarify a vague brief, frame an undefined problem, make sense of an unclear opportunity, or when the user says 'we need to figure out what to do about X' or 'I've been asked to look into Y'. Produces a structured problem brief with reframed questions, scoped boundaries, and a minimum viable research plan.
Prepare for an industry analyst briefing (Gartner, Forrester, IDC and similar). Use when asked to prep an analyst briefing, write an AR briefing document, build talking points for an analyst call, or prepare a Magic Quadrant / Wave submission narrative. Produces a briefing kit â objective, company/product narrative, differentiation, proof points, the demo storyline, anticipated questions, and follow-up commitments.
Write clear, developer-facing API documentation. Use when asked to document an API endpoint, write API reference docs, create a developer guide, or turn a raw spec/Postman collection into documentation. Produces endpoint documentation with descriptions, parameters, request/response examples, and error codes.
Extract and risk-rate all hidden assumptions in a product brief or PRD
Build the storyline and slide structure for a board presentation. Use when asked to create a board deck, board presentation narrative, board meeting slides, or quarterly board update. Produces a complete slide-by-slide structure with narrative beats, talking points, and slide content guidance.
Write formal board meeting minutes from an agenda, notes, transcript, or discussion summary. Use when asked to draft board minutes, governance minutes, meeting minutes for a board, or a formal record of decisions and actions. Produces structured board minutes with attendees, agenda items, resolutions, decisions, action register, and approval-ready wording.
Turn interview notes into a structured candidate scorecard and hire recommendation. Use when asked to write an interview scorecard, a candidate evaluation, an interview debrief, or to summarize feedback into a hire/no-hire call. Produces a per-competency assessment with evidence and ratings, an overall recommendation with confidence, and the open questions for the next round â evidence-based, bias-aware, and decision-ready.
Extract pixel-level data from an image of a chart or graph and produce a structured data table. Use when asked to extract data from a chart image, transcribe numbers from a graph, digitise a chart, or turn a screenshot of data into a table. Produces a structured table with extracted values, confidence levels, and a reconstructed chart source. Best used with Claude Opus 4.7 or newer for reliable chart data extraction.
Run a consulting client discovery session â uncover the real problem, scope, and decision process. Use when asked to prepare for a client discovery call, qualify a consulting lead, scope an engagement, or run a kickoff. Produces a discovery plan â the questions that surface the real problem (not the stated one), budget/authority/timeline qualifiers, success criteria, red flags, and a follow-up that leads to a proposal.
Write a structured clinical case summary or case presentation. Use when asked to write a clinical case summary, case presentation, patient case report, or clinical handover. Produces a structured summary using SBAR or SOAP format. For educational and documentation purposes only â not a substitute for clinical judgement.
Build a comparative market analysis (CMA) to price a property. Use when asked to do a CMA, a comparative market analysis, price a home, or estimate a property's value from comparables. Produces a structured CMA â the subject property, selected comparables with adjustments, an estimated value range, market context, and a pricing recommendation with rationale â for a real-estate professional to review. Not a formal appraisal.
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