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    Board Pack & Executive Summary — Narrative, Finance Framing

    by Vivek K

    2

    Uncomfortable facts—concentration risk, burn over plan, delayed mega-deals—get softened until Q&A goes badly.

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    You say

    Company: HelioGrid — Series B climate-tech VPP platform for utilities Period: Q2 2026 board Board: growth VC, climate fund, ex-utility operator, financial director

    Metrics: 420 MW (target 500), ARR $12.6M (target $14M), GM 61% (target 65%), NRR 112%, burn $890k/mo (ceiling $800k), cash $18.4M, pipeline $7.1M vs $9M Progress: optimizer shipped; ERCOT connector 70% / 5 wks late Risks: MidwestCo ~90 MW stuck on PUC docket; River Municipal SLA escalation Draft ask: approve +4 field FTEs

    Compose pack: tension, red flags, finance, decidable options, Q&A. No invented metrics.

    Your agent does

    Board Pack & Executive Summary

    1. Pack Summary

    Mode: Compose · Series B climate/VPP · Q2 2026 Verdict: NEEDS-STRENGTHENING

    2. Executive Summary

    420 MW (+60 QoQ) and $12.6M ARR (+18% QoQ) but under plan. Burn $890k above $800k ceiling; ~20.7 mo base runway on $18.4M cash (heuristic). Elephant: MidwestCo PUC delay while asking for more FTEs. Recommend phased hire (Option B), not blanket +4.

    3. Narrative arc

    Headline: real growth; regulatory timing + burn discipline are the story. Tension addressed head-on with controllable actions (ERCOT, River war-room, phased spend).

    4. Red flags (framed)

    Plan miss on MW/ARR · burn over ceiling · GM mix · MidwestCo binary · River escalation

    5–6. KPIs + financial intelligence

    Dashboard with target/actual/so-what; burn multiple heuristic; base/downside runway; unit economics marked incomplete (data gaps).

    7–8. Progress & risks

    Optimizer shipped; ERCOT late; CS automation blocked. Risks owned with mitigations.

    9. Decidable ask

    A full +4 · B phased 2 now + gate · C freeze → recommend B

    10. Q&A rehearsal

    MidwestCo real? · Hire into miss? · Services company (GM)? · River churn? · True runway?

    11–14. Appendix, trajectory N/A, data gaps, path to BOARD-READY

    Not financial advice. JSON includes full structure + not_financial_advice: true

    What you get

    Compose a quarterly board pack from ops and finance inputsCritique a draft deck before directors see itRehearse tough board questions with ranked answersTurn a messy metric dump into an executive one-pagerMake a hire or budget ask decidable (options + recommendation)Track narrative trajectory vs a prior pack (Track mode)

    About this skill

    The problem

    • Board packs often bury the only thing directors care about under operational noise.
    • Uncomfortable facts—concentration risk, burn over plan, delayed mega-deals—get softened until Q&A goes badly.
    • Asks like “approve more headcount” arrive without options, recommendation, or capital context.
    • Founders under-rehearse the questions a VC, operator, or financial director will actually ask.

    What it does

    • Adapts to company stage and board composition (VC, climate/impact, operator, financial).
    • Builds a narrative arc with the elephant in the room named and addressed.
    • Surfaces red flags with pre-emptive honest framing and a plan.
    • Runs financial intelligence on your numbers: burn multiple heuristics, base/downside runway, unit-economics coherence checks, gross margin context.
    • Contextualizes every KPI (target, actual, trend, variance, “so what”).
    • Rewrites vague asks into decidable decisions with options and a recommendation.
    • Produces a ranked Q&A rehearsal with answers and data to have ready.
    • Issues BOARD-READY / NEEDS-STRENGTHENING / NEEDS-DATA with a clear path.

    Frameworks & tools

    • Modes: Compose, Critique, Rehearse, Track.
    • Works for SaaS, climate-tech, marketplaces, and other venture-backed or growth companies—stack-agnostic.
    • Compatible with Claude Code, Cursor, Codex CLI, OpenClaw; no live board portal integration required.

    Why this beats prompting it yourself

    • Thinks like the board first, not like an internal ops report.
    • Forces tension and red flags into the open with framing, not burial.
    • Financial checks are explicit and assumption-labeled—not fake precision.
    • Asks must be decidable; open-ended “support us” language gets rewritten.
    • Q&A is ranked by likelihood × difficulty with data prep lists.
    • Clear “not financial advice” boundary and no fabricated benchmarks.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    Vivek K
    Vivek K

    20 skills on Agensi

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