* 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>
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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: 8x–15x ARR
50-100% YoY growth: 4x–8x ARR
20-50% YoY growth: 2x–4x ARR
< 20% YoY growth: 1x–2x ARR
Adjustments:
NDR > 120%: +1x–2x premium
Gross margin > 75%: +0.5x–1x premium
Burn multiple < 1x: +0.5x–1x 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:
- Cap table — Is it clean? Any concerning structures?
- Cohort retention — Is churn improving or deteriorating?
- Revenue quality — What % is recurring? Any one-time or non-recurring?
- Top 10 customers — Concentration risk? Any logos at risk?
- Bank statements — Does cash match what was reported?
- 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)