AI Decision Memo Builder

    1

    Turns messy transcripts and notes into structured, decision-ready memos with clear trade-offs and recommendations.

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    AI Decision Memo Builder

    Example session with this skill installed

    Build a one-pager based on our chat: We need to choose between AWS and Supabase for the new MVP. AWS is cheaper at scale but harder to set up. Supabase is fast but we worry about vendor lock-in.

    • Read your context and instructions
    • Compiled the ai decision memo

    I have drafted a one-page decision memo based on your comparison of AWS and Supabase, focusing on the trade-offs between speed-to-market and long-term scalability.

    Decision Memo: MVP Infrastructure Selection

    Date: 2023-10-27
    Decision Owner: Engineering Lead
    Audience: Product Stakeholders
    Decision Needed By: Friday, Oct 31

    Decision and Recommendation (BLUF)

    Recommendation: Proceed with Supabase for the MVP phase.
    Action: Approval to begin implementation immediately to meet the November launch deadline.

    Context

    We need to select a backend infrastructure provider for our MVP. The primary driver is a tight launch window (4 weeks), balanced against long-term cost and architectural flexibility.

    Options Considered

    1. Supabase (Recommended): Managed Backend-as-a-Service.
    2. AWS (EC2/RDS/S3): Traditional cloud infrastructure.
    3. Do Nothing: Delay launch to evaluate further providers.

    Criteria and Comparison

    CriteriaSupabaseAWS
    Setup SpeedHigh (Pre-built Auth/DB)Low (Manual configuration)
    Scaling CostModerate (Tiered pricing)Low (Granular control)
    Vendor Lock-inHigh (Proprietary API)Low (Standard Postgres/S3)
    MaintenanceLow (Serverless/Managed)High (DevOps required)

    Analysis and Trade-offs

    Supabase is the recommended choice because it reduces initial development time by approximately 40%, ensuring we hit the MVP launch date. The primary trade-off is

    vendor lock-in; migrating away later will require rewriting the auth and database logic. However, the risk of missing the market window outweighs the cost of a future migration.

    Risks and Mitigations

    Risk: Scaling costs exceed budget if users grow 10x.

    Mitigation: Set billing alerts at $200/mo and plan a migration path to RDS if we hit 50k MAUs.

    • Risk: Vendor lock-in. Mitigation: Use standard SQL for all business logic to keep data portable.

    Next Steps

    1. Approve recommendation: Project Lead by Oct 28.
    2. Provision Supabase Project: DevOps by Oct 29.
    3. Set Billing Alerts: [needed] by Oct 30.

    Open Questions and Assumptions

    • Assumptions: We assume the current budget for infrastructure is under $500/mo for the first quarter.
    • Uncertainty: Exact AWS configuration costs are [needed] for a direct price comparison at scale.

    Next steps

    • Provide the specific budget limit to refine the scaling cost analysis.
    • Confirm who will be responsible for setting the billing alerts.
    • Request a "Review" if you want me to tighten the language for an executive audience.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Decisions often stall because the logic is scattered across chat threads, meeting transcripts, and messy notes. This skill converts raw project context into a professional, decision-ready memo that allows stakeholders to approve, reject, or challenge a recommendation in minutes.

    What it does

    • Extracts briefs by identifying decision owners, deadlines, options, and constraints from disorganized input.
    • Builds comparison tables that evaluate multiple real options against consistent criteria like budget and risk.
    • Surface trade-offs to ensure the recommended path is presented alongside its costs and potential downsides.
    • Identifies gaps by marking missing data, names, or figures as assumptions rather than inventing facts.
    • Adapts formats ranging from 100-word executive summaries to 1,000-word deep dives for high-stakes choices.

    How it works

    1. Input analysis: Provide a transcript, note, or draft, and the skill identifies the core decision and stakeholders.
    2. Gap handling: The skill makes professional assumptions for minor gaps or asks up to three targeted questions for critical missing data.
    3. Drafting: It generates a structured memo including a BLUF (Bottom Line Up Front), analysis, and risk mitigations.
    4. Refinement: Use specific modes like "Review" to critique existing drafts or "Adapt" to turn a memo into a Slack message.

    Frameworks & tools

    This skill is platform-agnostic and designed for use within LLM environments like Claude, ChatGPT, or Cursor. It outputs standard Markdown compatible with GitHub, Notion, and Slack.

    Why this beats prompting it yourself

    Standard prompts often produce generic summaries or "straw man" arguments that lean too hard into a favorite option. This skill enforces strict neutrality, mandates the inclusion of a "do nothing" option, and uses a structured quality check to ensure trade-offs and risks are never buried.

    Use cases

    • Vendor selection: Comparing software tools against budget, security, and feature sets.
    • Build vs. Buy: Documenting the logic for developing internal tools versus licensing third-party tech.
    • Hiring decisions: Summarizing candidate evaluations for a final "go/no-go" from leadership.
    • Strategic pivots: Justifying changes in product direction or budget reallocations to a board.

    Known limitations

    Does not provide professional legal, tax, or medical advice. Requires user-provided data as it will not search external databases or invent missing financial figures.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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