Files
claude-skills-reference/c-level-advisor/cfo-advisor/references/fundraising_playbook.md
Alireza Rezvani 466aa13a7b feat: C-Suite expansion — 8 new executive advisory roles (2→10) (#264)
* feat: C-Suite expansion — 8 new executive advisory roles

Add COO, CPO, CMO, CFO, CRO, CISO, CHRO advisors and Executive Mentor.
Expands C-level advisory from 2 to 10 roles with 74 total files.

Each role includes:
- SKILL.md (lean, <5KB, ~1200 tokens for context efficiency)
- Reference docs (loaded on demand, not at startup)
- Python analysis scripts (stdlib only, runnable CLI)

Executive Mentor features /em: slash commands (challenge, board-prep,
hard-call, stress-test, postmortem) with devil's advocate agent.

21 Python tools, 24 reference frameworks, 28,379 total lines.
All SKILL.md files combined: ~17K tokens (8.5% of 200K context window).

Badge: 88 → 116 skills

* feat: C-Suite orchestration layer + 18 complementary skills

ORCHESTRATION (new):
- cs-onboard: Founder interview → company-context.md
- chief-of-staff: Routing, synthesis, inter-agent orchestration
- board-meeting: 6-phase multi-agent deliberation protocol
- decision-logger: Two-layer memory (raw transcripts + approved decisions)
- agent-protocol: Inter-agent invocation with loop prevention
- context-engine: Company context loading + anonymization

CROSS-CUTTING CAPABILITIES (new):
- board-deck-builder: Board/investor update assembly
- scenario-war-room: Cascading multi-variable what-if modeling
- competitive-intel: Systematic competitor tracking + battlecards
- org-health-diagnostic: Cross-functional health scoring (8 dimensions)
- ma-playbook: M&A strategy (acquiring + being acquired)
- intl-expansion: International market entry frameworks

CULTURE & COLLABORATION (new):
- culture-architect: Values → behaviors, culture code, health assessment
- company-os: EOS/Scaling Up operating system selection + implementation
- founder-coach: Founder development, delegation, blind spots
- strategic-alignment: Strategy cascade, silo detection, alignment scoring
- change-management: ADKAR-based change rollout framework
- internal-narrative: One story across employees/investors/customers

UPGRADES TO EXISTING ROLES:
- All 10 roles get reasoning technique directives
- All 10 roles get company-context.md integration
- All 10 roles get board meeting isolation rules
- CEO gets stage-adaptive temporal horizons (seed→C)

Key design decisions:
- Two-layer memory prevents hallucinated consensus from rejected ideas
- Phase 2 isolation: agents think independently before cross-examination
- Executive Mentor (The Critic) sees all perspectives, others don't
- 25 Python tools total (stdlib only, no dependencies)

52 new files, 10 modified, 10,862 new lines.
Total C-suite ecosystem: 134 files, 39,131 lines.

* fix: connect all dots — Chief of Staff routes to all 28 skills

- Added complementary skills registry to routing-matrix.md
- Chief of Staff SKILL.md now lists all 28 skills in ecosystem
- Added integration tables to scenario-war-room and competitive-intel
- Badge: 116 → 134 skills
- README: C-Level Advisory count 10 → 28

Quality audit passed:
 All 10 roles: company-context, reasoning, isolation, invocation
 All 6 phases in board meeting
 Two-layer memory with DO_NOT_RESURFACE
 Loop prevention (no self-invoke, max depth 2, no circular)
 All /em: commands present
 All complementary skills cross-reference roles
 Chief of Staff routes to every skill in ecosystem

* refactor: CEO + CTO advisors upgraded to C-suite parity

Both roles now match the structural standard of all new roles:
- CEO: 11.7KB → 6.8KB SKILL.md (heavy content stays in references)
- CTO: 10KB → 7.2KB SKILL.md (heavy content stays in references)

Added to both:
- Integration table (who they work with and when)
- Key diagnostic questions
- Structured metrics dashboard table
- Consistent section ordering (Keywords → Quick Start → Responsibilities → Questions → Metrics → Red Flags → Integration → Reasoning → Context)

CEO additions:
- Stage-adaptive temporal horizons (seed=3m/6m/12m → B+=1y/3y/5y)
- Cross-references to culture-architect and board-deck-builder

CTO additions:
- Key Questions section (7 diagnostic questions)
- Structured metrics table (DORA + debt + team + architecture + cost)
- Cross-references to all peer roles

All 10 roles now pass structural parity:  Keywords  QuickStart  Questions  Metrics  RedFlags  Integration

* feat: add proactive triggers + output artifacts to all 10 roles

Every C-suite role now specifies:
- Proactive Triggers: 'surface these without being asked' — context-driven
  early warnings that make advisors proactive, not reactive
- Output Artifacts: concrete deliverables per request type (what you ask →
  what you get)

CEO: runway alerts, board prep triggers, strategy review nudges
CTO: deploy frequency monitoring, tech debt thresholds, bus factor flags
COO: blocker detection, scaling threshold warnings, cadence gaps
CPO: retention curve monitoring, portfolio dog detection, research gaps
CMO: CAC trend monitoring, positioning gaps, budget staleness
CFO: runway forecasting, burn multiple alerts, scenario planning gaps
CRO: NRR monitoring, pipeline coverage, pricing review triggers
CISO: audit overdue alerts, compliance gaps, vendor risk
CHRO: retention risk, comp band gaps, org scaling thresholds
Executive Mentor: board prep triggers, groupthink detection, hard call surfacing

This transforms the C-suite from reactive advisors into proactive partners.

* feat: User Communication Standard — structured output for all roles

Defines 3 output formats in agent-protocol/SKILL.md:

1. Standard Output: Bottom Line → What → Why → How to Act → Risks → Your Decision
2. Proactive Alert: What I Noticed → Why It Matters → Action → Urgency (🔴🟡)
3. Board Meeting: Decision Required → Perspectives → Agree/Disagree → Critic → Action Items

10 non-negotiable rules:
- Bottom line first, always
- Results and decisions only (no process narration)
- What + Why + How for every finding
- Actions have owners and deadlines ('we should consider' is banned)
- Decisions framed as options with trade-offs
- Founder is the highest authority — roles recommend, founder decides
- Risks are concrete (if X → Y, costs $Z)
- Max 5 bullets per section
- No jargon without explanation
- Silence over fabricated updates

All 10 roles reference this standard.
Chief of Staff enforces it as a quality gate.
Board meeting Phase 4 uses the Board Meeting Output format.

* feat: Internal Quality Loop — verification before delivery

No role presents to the founder without passing verification:

Step 1: Self-Verification (every role, every time)
  - Source attribution: where did each data point come from?
  - Assumption audit: [VERIFIED] vs [ASSUMED] tags on every finding
  - Confidence scoring: 🟢 high / 🟡 medium / 🔴 low per finding
  - Contradiction check against company-context + decision log
  - 'So what?' test: every finding needs a business consequence

Step 2: Peer Verification (cross-functional)
  - Financial claims → CFO validates math
  - Revenue projections → CRO validates pipeline backing
  - Technical feasibility → CTO validates
  - People/hiring impact → CHRO validates
  - Skip for single-domain, low-stakes questions

Step 3: Critic Pre-Screen (high-stakes only)
  - Irreversible decisions, >20% runway impact, strategy changes
  - Executive Mentor finds weakest point before founder sees it
  - Suspicious consensus triggers mandatory pre-screen

Step 4: Course Correction (after founder feedback)
  - Approve → log + assign actions
  - Modify → re-verify changed parts
  - Reject → DO_NOT_RESURFACE + learn why
  - 30/60/90 day post-decision review

Board meeting contributions now require self-verified format with
confidence tags and source attribution on every finding.

* fix: resolve PR review issues 1, 4, and minor observation

Issue 1: c-level-advisor/CLAUDE.md — completely rewritten
  - Was: 2 skills (CEO, CTO only), dated Nov 2025
  - Now: full 28-skill ecosystem map with architecture diagram,
    all roles/orchestration/cross-cutting/culture skills listed,
    design decisions, integration with other domains

Issue 4: Root CLAUDE.md — updated all stale counts
  - 87 → 134 skills across all 3 references
  - C-Level: 2 → 33 (10 roles + 5 mentor commands + 18 complementary)
  - Tool count: 160+ → 185+
  - Reference count: 200+ → 250+

Minor observation: Documented plugin.json convention
  - Explained in c-level-advisor/CLAUDE.md that only executive-mentor
    has plugin.json because only it has slash commands (/em: namespace)
  - Other skills are invoked by name through Chief of Staff or directly

Also fixed: README.md 88+ → 134 in two places (first line + skills section)

* fix: update all plugin/index registrations for 28-skill C-suite

1. c-level-advisor/.claude-plugin/plugin.json — v2.0.0
   - Was: 2 skills, generic description
   - Now: all 28 skills listed with descriptions, all 25 scripts,
     namespace 'cs', full ecosystem description

2. .codex/skills-index.json — added 18 complementary skills
   - Was: 10 roles only
   - Now: 28 total c-level entries (10 roles + 6 orchestration +
     6 cross-cutting + 6 culture)
   - Each with full description for skill discovery

3. .claude-plugin/marketplace.json — updated c-level-skills entry
   - Was: generic 2-skill description
   - Now: v2.0.0, full 28-skill ecosystem description,
     skills_count: 28, scripts_count: 25

* feat: add root SKILL.md for c-level-advisor ClawHub package

---------

Co-authored-by: Leo <leo@openclaw.ai>
2026-03-06 01:35:08 +01:00

14 KiB
Raw Blame History

Fundraising Playbook

From timing to close. What investors actually look for, how valuation works, and the term sheet clauses that matter.


1. When to Raise

Optimal timing:

Target: 18-24 months runway post-close
Minimum: 12 months runway post-close (leaves no buffer for slip)

Start process when: 9-12 months runway remaining
  → 3-6 months for process (typically 4-5 months for Series A/B)
  → Leaves 3-6 months buffer if process drags

Never start when: < 6 months runway
  → You're negotiating from desperation
  → Investors can smell it
  → Terms get worse, or you don't close at all

Rule: Your leverage is maximum when you don't need to raise. Raise from a position of momentum, not necessity.


2. What Investors Look For at Each Stage

Pre-seed

  • Team (are these people credible for this problem?)
  • Problem clarity (is the problem real and meaningful?)
  • Early signal (any customers paying, waitlist, prototype)
  • Market size (worth building a VC-scale company?)

Typical ask: $500K$2M | Typical valuation: $3M$10M pre-money

Seed

  • Product-market signal (customers using and paying)
  • Founding team with domain expertise
  • ARR: $100K$1M (or strong usage for PLG)
  • Clear hypothesis for what Series A looks like

Typical ask: $2M$5M | Typical valuation: $8M$20M pre-money

Series A

Investors are buying a repeatable sales motion. Not just customers — a machine.

What they need to see:

  • ARR: $1M$5M growing > 100% YoY
  • LTV:CAC > 2.5x (and improving)
  • Net Dollar Retention > 100%
  • CAC Payback < 18 months
  • Gross margin > 65%
  • At least 5-10 reference customers (not just lighthouse)
  • Sales motion that converts without the founder closing every deal

Typical ask: $8M$15M | Typical valuation: $25M$60M pre-money

Series B

Investors are buying scalable go-to-market. Can you pour fuel on the fire?

What they need to see:

  • ARR: $5M$20M growing > 100% YoY
  • LTV:CAC > 3x, CAC Payback < 18 months
  • Sales capacity model (hiring plan → pipeline → revenue)
  • NDR > 110% (expansion motion working)
  • Some proof of market expansion (new segments, geographies, use cases)
  • Path to category leadership

Typical ask: $15M$40M | Typical valuation: $60M$200M pre-money

Series C and Beyond

Investors are buying market leadership and path to profitability.

What they need to see:

  • ARR: $20M+ (often $30-50M for credible Series C)
  • Rule of 40 > 40 (or credible path)
  • Gross margin > 70%
  • NDR > 115%
  • Evidence of market leadership (brand, win rates, analyst mentions)
  • Clear path to $100M+ ARR

3. Valuation Methods

Revenue Multiples (Primary Method for SaaS)

Pre-money Valuation = ARR × Revenue Multiple

Revenue multiple benchmarks (2024-2025):
  > 100% YoY growth:  8x15x ARR
  50-100% YoY growth: 4x8x ARR
  20-50% YoY growth:  2x4x ARR
  < 20% YoY growth:   1x2x ARR

Adjustments:
  NDR > 120%:          +1x2x premium
  Gross margin > 75%:  +0.5x1x premium
  Burn multiple < 1x:  +0.5x1x premium
  Capital efficient:   Investors pay up for efficiency
  Declining growth:    Compress multiple aggressively

The Investor's Math (Know This)

Every VC has a required return. Work backwards from their constraints:

Investor targets: 3x fund return
Fund size: $200M, check size: $15M (initial), $25M (with follow-on)
Ownership at exit needed: 15%
At 15% ownership: needs $25M / 15% = $167M post-money valuation
Exit needed to return 3x on that check: $25M × 10 = $250M company value
  (10x because most deals fail, winners must carry the fund)

Implication: If you think you'll exit for $150M, that VC will pass or price you accordingly.

This is why Series A investors rarely lead rounds where they can't see a $300M+ exit path. It's not about your business being bad — it's about fund math.

Comparable Company Analysis

For later stages (Series B+):

1. Find 5-10 comparable public SaaS companies
2. Calculate their EV/NTM Revenue multiples (use latest data)
3. Apply a private market discount (typically 20-40% vs public comps)
4. Adjust for your growth rate relative to comps

Example (2024):
  Public SaaS comps: 6x NTM Revenue (median)
  Private discount: 30%
  Adjusted: ~4.2x
  Your NTM Revenue: $8M
  Implied valuation: ~$33M pre-money

DCF (Late Stage Only)

DCF is unreliable for early-stage startups (terminal value dominates, growth rate assumptions are fantasy). Use it as a sanity check at Series C+, not as the primary valuation method.


4. Term Sheet Breakdown

Liquidation Preference (Most Important Economic Term)

This determines who gets paid first in an exit — and how much.

1x Non-Participating Preferred (BEST for founders):
  Investor gets 1x money back OR converts to common (their choice).
  At acquisition: investor takes larger of {1x invested} or {% ownership × proceeds}
  Example: $10M invested, exits at $100M, owns 20%
    Option A: $10M (1x)
    Option B: $20M (20% of $100M)
    Investor takes $20M. Founders split $80M.

1x Participating Preferred (WORSE for founders):
  Investor gets 1x money back AND participates in remaining proceeds.
  Example: same scenario
    $10M (1x) + 20% of remaining $90M = $10M + $18M = $28M
    Founders split $72M instead of $80M
    Cost to founders: $8M (10% of exit value)

2x Participating (RED FLAG):
  Investor gets 2x back AND participates.
  Only accept under duress. Push hard against this.

Full Ratchet Anti-Dilution (AVOID):
  Down-round triggers full repricing of investor shares to new (lower) price.
  Founders get massively diluted. Never accept if alternatives exist.

Anti-Dilution Protection

Broad-based weighted average (standard):
  Adjusts investor conversion price based on all dilutive securities.
  Most founder-friendly anti-dilution. Accept this.

Narrow-based weighted average (slightly worse):
  Same mechanism but uses smaller denominator.
  Gives investors slightly more protection. Usually acceptable.

Full ratchet (avoid):
  Price drops to whatever the new round prices at.
  Devastating in down rounds. Fight this.

Pro-Rata Rights

Standard pro-rata: Investor can maintain their % ownership in future rounds.
  Reasonable. Accept for major investors.

Super pro-rata: Investor can increase their % in future rounds.
  Caps your ability to bring in new lead investors.
  Avoid unless the investor is exceptional and you want them in future rounds.

Major investor threshold: Typically investors with > $500K$1M check get pro-rata.
  Don't give pro-rata to every small check — clogs future rounds.

Board Composition

Seed (3 members):     2 founders, 1 lead investor
Series A (5 members): 2 founders, 2 investors, 1 independent
Series B (5-7 seats): Watch for investor majority — negotiate hard

Rule: Founders should retain majority through Series A.
      Independent director should be your choice, not investor's.
      Never accept investor majority before Series C.

Board observer rights: Common for smaller investors. No vote but present in meetings.
                       Limit to 1-2 observers or meetings become unwieldy.

Other Terms That Matter

Drag-along: Majority can force minority shareholders to vote for acquisition.
  Standard and reasonable. Check what threshold triggers drag.

Information rights: Investors get financial statements.
  Standard. Monthly for major investors, quarterly for others.

Redemption rights: Investors can force buyback after X years.
  Push to remove or add carve-outs for insufficient funds.

No-shop clause: You can't shop the term sheet to other investors.
  Standard (14-30 days). Reasonable.

Exclusivity: Stronger version of no-shop. Sometimes includes no other fundraise discussions.
  Acceptable for 30 days; push back on > 45 days.

5. Cap Table Management

Dilution Planning Model

Run this before every round. Know your number before walking into any negotiation.

         Pre-Seed    Post-Seed    Post-A    Post-B    Post-C
Founder A  45.0%      36.0%       26.5%     21.2%     18.7%
Founder B  45.0%      36.0%       26.5%     21.2%     18.7%
Angel 1     5.0%       4.0%        2.9%      2.4%      2.1%
Angel 2     5.0%       4.0%        2.9%      2.4%      2.1%
Seed Fund      -      12.0%        8.8%      7.1%      6.2%
Option Pool    -       8.0%       12.0%     10.0%      8.0%
Series A       -          -       20.4%     16.3%     14.4%
Series B       -          -           -     19.5%     17.2%
Series C       -          -           -         -     12.6%

Round size / pre-money:
Pre-Seed: $500K / $9M pre = 5% dilution
Seed: $2M / $8M pre = 20% dilution (includes 8% pool)
Series A: $10M / $38M pre = 20.8% dilution (pool refresh to 12%)
Series B: $20M / $80M pre = 20% dilution
Series C: $30M / $170M pre = 15% dilution

Option pool shuffle: Investors often require you to create/expand the option pool before the round closes, which dilutes existing shareholders (not the incoming investor). Model this explicitly — a 20% round with a 5% pool expansion is really 24%+ dilution to founders.

Cap Table Hygiene

Tools: Carta, Pulley, Capshare (all acceptable)
Never: Track cap table in a spreadsheet past seed stage. Errors compound.

Keep it clean:
  - Repurchase departed co-founder shares immediately (don't let unvested shares linger)
  - Convert SAFEs to equity cleanly at each priced round
  - Document every grant with a board resolution
  - Cliff + vesting for ALL employees and founders (standard: 1-year cliff, 4-year vest)
  - 409A valuation required before every option grant (IRS requirement)

6. Data Room Preparation

Core Documents (Required)

Financial:
  □ 3 years historical financials (or all history if < 3 years)
  □ Monthly P&L and cash flow (last 24 months)
  □ Current financial model (18-24 months forward)
  □ Budget vs actual (last 4 quarters)
  □ Cap table (fully diluted, with all SAFEs/convertibles modeled)
  □ Bank statements (last 3-6 months)

Legal:
  □ Certificate of incorporation + all amendments
  □ All prior financing documents (SAFEs, convertible notes, stock purchase agreements)
  □ Cap table (Carta/Pulley export)
  □ IP assignment agreements (all founders and employees)
  □ Material contracts (top 10 customers, key vendors)
  □ Employee list (titles, start dates, salaries, equity grants)

Product & Business:
  □ Product demo / walkthrough video
  □ Architecture overview (for technical investors)
  □ Customer case studies (3-5 named references)
  □ NPS / CSAT data
  □ Competitive landscape analysis

Metrics:
  □ MRR/ARR by month (all history)
  □ Cohort retention chart
  □ CAC by channel
  □ LTV by cohort
  □ NPS trend

What Investors Actually Check First

In order of typical priority during due diligence:

  1. Cap table — Is it clean? Any concerning structures?
  2. Cohort retention — Is churn improving or deteriorating?
  3. Revenue quality — What % is recurring? Any one-time or non-recurring?
  4. Top 10 customers — Concentration risk? Any logos at risk?
  5. Bank statements — Does cash match what was reported?
  6. IP assignments — Does the company own its IP? (Founders who didn't assign IP kill deals)

Red Flags That Kill Deals

  • Missing IP assignment agreements for founders (most common deal killer at early stage)
  • Cap table with > 20 angels/small investors (messy, hard to get consent for future rounds)
  • Customer concentration > 30% in single customer without explanation
  • Revenue recognition issues (booking ARR on contracts that allow easy cancellation)
  • Cohort data that gets worse in later cohorts
  • Bank balance doesn't match reported cash position

7. Investor Communication Cadence

During Fundraise

Week 1-2:   Warm intro sourcing, LP/network mapping
Week 3-6:   First meetings (aim for 20-30 first meetings)
Week 7-10:  Partner meetings, deep dives, due diligence
Week 11-14: Term sheets, negotiation
Week 15-18: Legal, closing

Parallel process is essential. Never negotiate with one investor at a time. Competition is your leverage.

Post-Close: Investor Updates

Monthly investor update (send within 10 days of month-end):

Subject: [Company] Monthly Update — [Month Year]

Highlights (3 bullets max):
  • [Biggest win]
  • [Biggest learning/challenge]
  • [What we're focused on next month]

Metrics:
  ARR: $X (+X% MoM)
  Net new ARR: $X
  Gross margin: X%
  Cash: $X (X months runway)
  Headcount: X

Asks (be specific):
  • Looking for intro to [persona/company] for [specific reason]
  • Need advisor with experience in [specific area]
  • [Other concrete ask]

Why this matters: Investors who are informed and engaged are better positioned to help when you need it. The investor who hasn't heard from you in 6 months is less likely to write a bridge check or make a warm intro when you ask.


Key Formulas

# Post-money valuation
post_money = pre_money + investment_amount

# Investor ownership %
ownership_pct = investment_amount / post_money

# Dilution to existing shareholders
dilution = investment_amount / post_money  # as a fraction

# New shares issued
new_shares = (investment_amount / post_money) * total_post_shares
# equivalent: new_shares = pre_money_shares * (investment_amount / pre_money)

# Option pool expansion impact (pool shuffle)
# Creating X% option pool pre-close dilutes founders:
pool_shares_needed = target_pct * (pre_shares + new_round_shares + pool_shares_needed)
# Solve: pool_shares_needed = target_pct * (pre_shares + new_round_shares) / (1 - target_pct)

# LTV:CAC ratio
ltv_cac = ltv / cac  # target: > 3x

# CAC payback (months)
payback_months = cac / (arpa * gross_margin_pct)