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Investor Case Composer
Turn pitch decks, pilots and a rough model into an evidence-backed investor case that survives due diligence.
Free
Investor Case Composer
Example session with this skill installed
I need a seed round case memo for our board and two pre-seed funds, not another pitch deck. We are Kettle — invoice reconciliation for mid-market distributors, 8 pilots running, $340k ARR. Everything is in ./docs: deck-notes.md, interviews.md, model.csv and competitor-teardown.md. Draft the full written case in markdown, follow the standard section order, and mark every claim with the evidence you actually found; tag anything unsupported as an assumption and do not invent market sizing. Finish by telling me which section a partner would distrust most and the two data points I should collect this month to fix it.
- Read your context and instructions
- Compiled the investor case composer
- Generated the document
Summary
Drafted the full investor case for
Kettle (seed, invoice reconciliation for mid-market distributors): 12 sections written, 4 headline claims tagged, and the $2.1M ask tied to three named milestones. Soft market data is flagged, not fudged.
Claim audit
| Section | Claim | Evidence | Confidence |
|---|---|---|---|
| Problem | 11 controller-hours/week lost | 12 interviews + pilot logs | Validated |
| Market | $1.4B SAM | Bottom-up: 38k firms x $36k ACV | Directional |
| Retention | 118% NRR | Billing data, 7 accounts | Validated |
| Efficiency | 11-month CAC payback | Model only, no cohort yet | Assumption |
Ask: $2.1M seed for 14 months runway — converts 8 pilots to paid, ships SOC 2, signs first channel partner.
Next steps
- Survey 5 lost deals to harden the SAM filter before partner outreach
- Pull usage data from the 3 pilots still in trial; n=7 is thin for the NRR story
- Track demo-to-pilot conversion weekly; under 20% is the trigger to drop upmarket motion
- Reuse this skeleton as the standing quarterly board template
investor-case-composer.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Pitch decks often fail due diligence because they rely on vague claims and invented numbers. Founders struggle to bridge the gap between a high-level narrative and a rigorous, evidence-backed argument that survives investor scrutiny.
What it does
- Converts pitch decks and pilot data into structured, evidence-tagged investment memos.
- Generates bottom-up market sizing tables (TAM/SAM/SOM) with explicit confidence levels.
- Builds 3-year financial summaries tied to operational assumptions rather than static totals.
- Produces risk registers that pair execution obstacles with specific mitigation strategies and leading indicators.
- Formats executive briefs and strategic cases optimized for VC, board, or partner reviews.
Why this beats prompting it yourself
Most LLMs generate generic marketing fluff that investors ignore. This skill enforces a causal narrative chain, requiring every claim to be tagged as Validated, Directional, or Assumption. It prevents the model from hallucinating numbers by creating clear placeholders for missing data, ensuring the final case is auditable and credible.
Use cases
- Drafting an Investment Memo for a seed or Series A funding round.
- Preparing a strategic board package for annual resource allocation.
- Developing a business case for a high-stakes corporate partnership.
- Stress-testing a startup narrative against common due diligence objections.
Known limitations
Does not generate legal contracts or regulatory filings. Requires user-provided data for financial accuracy; it will not invent company-specific metrics.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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Click the path to copy it. Create the folder if it does not exist yet.
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