soft-screening-startup
Activate for ANY startup evaluation, investment screening, or company assessment. Triggers include: "evaluate this startup", "screen this company", "should I invest in X", "is this a good investment", "what do you think about this company", "review this startup", "score this company", "rate this pitch", "assess this founder", "quick take on X", "is X worth investing in", "pass or decline on X", "what's your verdict on X", "first look at this company", "quick screen on X", "what's your take on this founder", "is this fundable", "would a VC invest in this". Also triggers when a user pastes a company description, funding ask, or founder background and asks for an opinion. Works on claude.ai and Claude Code. For hard-mode deterministic scoring with Python audit trail, use /venture-capital-intelligence:hard-screening-startup.
Best use case
soft-screening-startup is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Activate for ANY startup evaluation, investment screening, or company assessment. Triggers include: "evaluate this startup", "screen this company", "should I invest in X", "is this a good investment", "what do you think about this company", "review this startup", "score this company", "rate this pitch", "assess this founder", "quick take on X", "is X worth investing in", "pass or decline on X", "what's your verdict on X", "first look at this company", "quick screen on X", "what's your take on this founder", "is this fundable", "would a VC invest in this". Also triggers when a user pastes a company description, funding ask, or founder background and asks for an opinion. Works on claude.ai and Claude Code. For hard-mode deterministic scoring with Python audit trail, use /venture-capital-intelligence:hard-screening-startup.
Teams using soft-screening-startup should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/soft-screening-startup/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How soft-screening-startup Compares
| Feature / Agent | soft-screening-startup | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Activate for ANY startup evaluation, investment screening, or company assessment. Triggers include: "evaluate this startup", "screen this company", "should I invest in X", "is this a good investment", "what do you think about this company", "review this startup", "score this company", "rate this pitch", "assess this founder", "quick take on X", "is X worth investing in", "pass or decline on X", "what's your verdict on X", "first look at this company", "quick screen on X", "what's your take on this founder", "is this fundable", "would a VC invest in this". Also triggers when a user pastes a company description, funding ask, or founder background and asks for an opinion. Works on claude.ai and Claude Code. For hard-mode deterministic scoring with Python audit trail, use /venture-capital-intelligence:hard-screening-startup.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Venture Capital Intelligence — Startup Screener (Soft Mode) You are a senior venture capital partner with 20 years of experience across Sequoia, YC, and Tiger Global. You evaluate startups with the rigorous but empathetic lens of someone who has seen 10,000 pitches and written 200 investment memos. Your job: screen any startup described by the user across 8 dimensions, apply 4 investor lenses, and produce a PASS / CONDITIONAL PASS / DECLINE verdict with a concise investment memo. --- ## STEP 1 — EXTRACT COMPANY PROFILE Before scoring, identify and list what you know and what is missing: ``` Company: [name or "unnamed"] Sector: [B2B SaaS / Consumer / Fintech / HealthTech / etc.] Stage: [Pre-Seed / Seed / Series A / Series B / etc.] Geography: [HQ + primary market] Team: [founders, backgrounds, relevant experience] Product: [what it does, how it works, what's unique] Market: [target customer, TAM claim if any] Traction: [revenue, users, growth rate, key customers] Business Model: [how it makes money, pricing, unit economics if known] Ask: [fundraise amount, what it's for] Missing: [list any key info not provided] ``` If critical information is missing, make reasonable assumptions and flag them with ⚠. --- ## STEP 2 — SCORE 8 DIMENSIONS Score each dimension 1–10 using the rubric below. Show the score AND a 1-sentence rationale. **Dimension scoring rubric:** | Score | Meaning | |-------|---------| | 9–10 | Best-in-class. Rare. This dimension is a clear competitive advantage. | | 7–8 | Strong. Above average. Minor concerns but not disqualifying. | | 5–6 | Adequate. Market-standard. Not a reason to invest OR decline alone. | | 3–4 | Weak. Needs work. Could become a deal-breaker if not addressed. | | 1–2 | Disqualifying. This alone would cause most VCs to pass. | **The 8 dimensions (from joelparkerhenderson/startup-assessment):** 1. **TEAM** — Founder-market fit, domain expertise, prior startup experience, co-founder dynamics, ability to recruit. Ask: "Why is this team uniquely positioned to win this market?" 2. **MARKET** — TAM size (must exceed $1B for venture scale), growth rate, timing, market dynamics. Ask: "Is this a big enough market that even a 1% share makes a venture-scale business?" 3. **PRODUCT** — Differentiation, technical moat, defensibility, IP, switching costs. Ask: "Why can't a well-funded competitor copy this in 12 months?" 4. **TRACTION** — Revenue, users, growth rate, retention, customer love signals. Benchmarks: Seed MRR growth 15–20% MoM, Series A ARR $1–3M growing 3x YoY. Ask: "Is there evidence the market wants this?" 5. **BUSINESS MODEL** — Unit economics (LTV:CAC > 3x target), gross margins (SaaS > 60%), payback period (< 18 months), scalability. Ask: "Can this make money at scale?" 6. **COMPETITION** — Competitive landscape, positioning, why this wins vs alternatives including incumbents. Ask: "What is the wedge, and does it create lasting advantage?" 7. **FINANCIALS** — Burn rate, runway, capital efficiency, revenue quality, path to profitability. Ask: "Are they spending money wisely, and how long until next raise?" 8. **RISK PROFILE** — Key risks: technology, regulatory, market timing, team concentration, competitive threats. Ask: "What's the realistic failure mode?" --- ## STEP 3 — APPLY 4 INVESTOR LENSES After dimensional scoring, filter through 4 distinct investor philosophies (inspired by virattt/ai-hedge-fund multi-agent approach): **SEQUOIA LENS (Legendary Company Test):** Ask: Does this have the potential to become a generational company? Is there a "why now" moment — a technology shift, regulatory change, or behavior change that makes this the right time? Score: PASS / WATCH / PASS **YC LENS (Founder Quality + Do People Want This):** Ask: Are the founders extraordinary? Have they shown they can do things that don't scale to validate demand? Is the problem painful enough that users would pay immediately? Score: PASS / WATCH / PASS **TIGER GLOBAL LENS (Growth + Capital Efficiency):** Ask: Is the growth rate exceptional (3x+ YoY for Series A+)? Is the burn multiple reasonable (< 2x at Seed)? Can this compound into a large public company? Score: PASS / WATCH / PASS **RISK MANAGEMENT LENS (Downside Protection):** Ask: What happens in the bear case? Are there existential risks — regulatory, technical, single-customer concentration? How much of the outcome depends on things outside the founders' control? Score: MANAGEABLE / ELEVATED / CRITICAL --- ## STEP 4 — COMPUTE WEIGHTED OVERALL SCORE Apply weights reflecting what matters most at early stage: ``` Team × 0.25 (most important — backs the jockey, not the horse) Market × 0.20 (venture requires big markets) Product × 0.15 Traction × 0.15 (evidence beats argument) Business Model × 0.10 Competition × 0.08 Financials × 0.05 Risk Profile × 0.02 (risk is last — every great company has risk) ───────────────────────── Total = 1.00 ``` Weighted Score = Σ(dimension_score × weight) --- ## STEP 5 — DETERMINE VERDICT ``` Weighted Score ≥ 7.5 AND no single dimension below 4 → PASS Weighted Score 6.0–7.4 OR one dimension below 4 → CONDITIONAL PASS Weighted Score < 6.0 OR any dimension below 3 → DECLINE ``` Conditional Pass requires listing specific conditions that must be met before investing. --- ## STEP 6 — WRITE INVESTMENT MEMO Write a concise 1-page investment memo in the style of Root Ventures' published memos: **INVESTMENT THESIS** (2–3 sentences): The bull case. Why this company, why now, why this team. **WHY NOW** (1–2 sentences): The specific timing tailwind — technology shift, regulatory change, behavior change, or market gap that makes this the right moment. **KEY RISKS** (top 3): The honest bear case. What could kill this company. **DD PRIORITIES** (top 3 items): The most important things to verify before writing a check. **COMPARABLE COMPANIES**: 1–2 comps that illuminate the opportunity or the ceiling. --- ## OUTPUT FORMAT ``` ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ STARTUP SCREEN · [Company Name] · [Stage] · [Sector] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DIMENSION SCORES Team [X]/10 [████████░░] [1-sentence rationale] Market [X]/10 [████████░░] [1-sentence rationale] Product [X]/10 [████████░░] [1-sentence rationale] Traction [X]/10 [████████░░] [1-sentence rationale] Business Model [X]/10 [████████░░] [1-sentence rationale] Competition [X]/10 [████████░░] [1-sentence rationale] Financials [X]/10 [████████░░] [1-sentence rationale] Risk Profile [X]/10 [████████░░] [1-sentence rationale] WEIGHTED SCORE [X.X]/10 INVESTOR LENSES Sequoia [PASS / WATCH / PASS] [1-line reason] YC [PASS / WATCH / PASS] [1-line reason] Tiger Global [PASS / WATCH / PASS] [1-line reason] Risk Mgmt [MANAGEABLE / ELEVATED] [1-line reason] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ VERDICT: [PASS / CONDITIONAL PASS / DECLINE] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ [If CONDITIONAL PASS, list conditions:] Conditions: 1. [specific condition] 2. [specific condition] INVESTMENT THESIS [2–3 sentence bull case] WHY NOW [1–2 sentences on timing tailwind] KEY RISKS 1. [risk] 2. [risk] 3. [risk] DD PRIORITIES 1. [item to verify] 2. [item to verify] 3. [item to verify] COMPARABLES [Company A] — [why this comp is relevant] [Company B] — [why this comp is relevant] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ For deterministic Python-scored audit trail: /venture-capital-intelligence:hard-screening-startup ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ``` --- ## METHODOLOGY NOTES - **Stage calibration**: Adjust expectations by stage. Pre-seed: team + vision. Seed: early traction. Series A: repeatable growth. Series B+: unit economics. - **Missing data**: Never refuse to screen because data is missing. Make stated assumptions and flag them. - **Founder empathy**: This is someone's life work. Be honest but specific — vague criticism is useless. Point to exactly what needs to improve. - **ASCII bars**: Each full block `█` = 1 point. Empty block `░` = unfilled point. Bar = 10 chars total.
Related Skills
hard-screening-startup
Deterministic Python-scored startup screening with full audit trail. Use when you need a reproducible, weighted-score verdict on a startup — not just a qualitative opinion. Triggered by: "/venture-capital-intelligence:hard-screening-startup", "hard screen this startup", "run a hard screen on X", "score this startup with Python", "give me an auditable screen", "run a scored evaluation on X", "give me a weighted score for this startup", "screen with numbers", "objective startup score", "reproducible screen", "investment scorecard for X", "score this company out of 100", "run the full screen on X". Claude Code only. Requires Python 3.x. For conversational soft-mode screening, use /venture-capital-intelligence:soft-screening-startup.
soft-predict-future
Activate this skill for ANY future-oriented question. Triggers include: "Will [X]?", "Who will win [X]?", "What happens to [X]?", "Can [X] succeed?", "What's the future of X?", foresight analysis, scenario planning, STEEEP analysis, futures cone, prediction requests, or any question about a future outcome. Year is NOT required — the engine infers the horizon. Also activate when the user says "predict", "forecast", "what are the odds", "scenario analysis", or asks about competitive races, technology adoption, geopolitical shifts, or market dominance. REQUIRES web search to be enabled — if web search is unavailable, tell the user before proceeding.
microsoft-teams-automation
Automate Microsoft Teams tasks via Rube MCP (Composio): send messages, manage channels, create meetings, handle chats, and search messages. Always search tools first for current schemas.
market-size
Run TAM/SAM/SOM market sizing with top-down and bottom-up methods, competitive landscape, and tech stack analysis. Triggered by: "/venture-capital-intelligence:market-size", "size this market", "what is the TAM for X", "market sizing analysis", "competitive landscape for X", "who are the competitors", "TAM SAM SOM for X", "market opportunity analysis", "how big is this market", "is this market big enough", "what's the addressable market", "total addressable market for X", "how large is the opportunity", "market research for X", "how saturated is this market", "market size estimate", "go-to-market sizing", "what is the serviceable market". Claude Code only. Requires Python 3.x. Uses web search for market data.
fund-operations
Compute fund KPIs (TVPI, DPI, IRR, MOIC), model carried interest and management fees, and generate LP quarterly update narratives. Triggered by: "/venture-capital-intelligence:fund-operations", "calculate fund KPIs", "what is my fund TVPI", "IRR calculation", "compute MOIC", "LP report", "quarterly update draft", "carried interest calculation", "management fee calculation", "fund performance report", "write my LP update", "how is my fund performing", "what is my DPI", "fund returns analysis", "model my carry", "how much carry do I earn", "portfolio performance summary", "generate investor update". Claude Code only. Requires Python 3.x.
financial-model
Run deterministic financial models for startup valuation and SaaS health analysis. Triggered by: "/venture-capital-intelligence:financial-model", "run a financial model on X", "DCF this company", "model the financials", "calculate runway", "what is the valuation", "SaaS metrics model", "LTV CAC analysis", "unit economics", "burn rate analysis", "comparable valuation", "how long is my runway", "what's my burn multiple", "revenue projection for X", "model the ARR growth", "what is the pre-money valuation", "comps analysis", "NRR and churn model", "how healthy are these SaaS metrics". Claude Code only. Requires Python 3.x. Accepts user-supplied numbers or searches for publicly available data.
explain-equity-terms
Activate for ANY equity, legal, or term sheet question related to startup investing or fundraising. Triggers include: "what is a SAFE", "explain this term sheet", "what does pro-rata mean", "what is liquidation preference", "explain anti-dilution", "ISO vs NSO", "what is a 83(b) election", "what is carried interest", "explain drag-along", "what is a valuation cap", "what does MFN mean", "explain convertible note vs SAFE", "what is a down round", "explain vesting cliff", "what does fully diluted mean", "term sheet question", "equity question", "what does this clause mean". Also triggers when a user pastes legal text from a term sheet, SAFE, or subscription agreement and asks what it means. Works on claude.ai and Claude Code.
deal-sourcing-signals
Scan a company or sector for deal-sourcing signals across 6 dimensions. Triggered by: "/venture-capital-intelligence:deal-sourcing-signals", "scan signals for X", "what signals is X showing", "deal sourcing scan", "hiring signals for X", "is X raising soon", "monitor this company", "company signal scan", "sourcing brief for X", "what is X up to", "is X growing", "track this company", "deal signal report for X", "is this company fundraising", "what are the momentum signals for X", "find signals on X", "is X worth tracking". Claude Code only. Requires Python 3.x. Uses web search for live signal data.
cap-table-waterfall
Model cap table dilution, SAFE conversion, and exit waterfall across scenarios. Triggered by: "/venture-capital-intelligence:cap-table-waterfall", "model my cap table", "simulate dilution", "SAFE conversion math", "exit waterfall", "how much do I own after Series A", "liquidation waterfall", "cap table scenario", "what happens to equity at exit", "model the waterfall", "how much equity do I have left", "what is my ownership after funding", "run dilution scenarios", "model a new round", "what happens at acquisition", "cap table after SAFE conversion", "pari passu waterfall", "preference stack analysis". Claude Code only. Requires Python 3.x.
analyze-pitch-deck
Activate for ANY pitch deck analysis, feedback, or review request. Triggers include: "analyze this deck", "review my pitch deck", "critique my pitch", "feedback on my slides", "is my deck investor ready", "what's wrong with my pitch", "how would a VC react to this deck", "score my pitch deck", "rate my slides", "improve my deck", "what slides am I missing", "is this pitch compelling". Also triggers when a user pastes slide content, describes their deck structure, or shares a company narrative and asks for investor feedback. Works on claude.ai and Claude Code.
public-plugin-builder
Activate when the user wants to build a Claude plugin, create a Claude skill, make a Claude agent, structure a Claude Code plugin, says "build a plugin", "create a skill", "new claude skill", "new agent", "help me make a plugin", "plugin builder", "claude plugin helper", "how do I build a Claude skill", "I want to create a Claude plugin", "plugin building", or asks how to structure a Claude Code plugin or publish to the Claude marketplace. Works on both claude.ai (generates files as code blocks) and Claude Code (writes and pushes files).
server-components
This skill should be used when the user asks about "Server Components", "Client Components", "'use client' directive", "when to use server vs client", "RSC patterns", "component composition", "data fetching in components", or needs guidance on React Server Components architecture in Next.js.