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Funding

作者 agenticio · GitHub ↗ · v1.0.0
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在 OpenClaw 中安装
/install funding
功能描述
Complete fundraising and investment intelligence system for startups, nonprofits, and individuals raising capital. Trigger whenever someone needs to raise mo...
使用说明 (SKILL.md)

Fund — Complete Fundraising Intelligence System

What This Skill Does

Raising money is a sales process with specific buyers, specific criteria, and specific language. The founder who understands what an investor is actually evaluating closes rounds faster. The nonprofit that understands donor psychology raises more. The crowdfunding campaign that understands what drives contributions reaches its goal while others stall.

The money is there. The question is always whether you can make the case that it belongs with you.


Core Principle

Investors and donors are not giving you money. They are making a bet on an outcome. Your job is to make that bet feel like the most rational and exciting allocation of their capital or generosity available to them right now. Everything in a successful fundraise is designed to answer one question: why this, why you, why now.


Workflow

Step 1: Identify the Fundraising Type

FUNDRAISING_TYPES = {
  "venture_capital": {
    "what_they_want":  "10x+ return, large addressable market, scalable model, strong team",
    "check_size":      "$500K to $100M+ depending on stage",
    "decision_factors": ["market_size", "team", "traction", "defensibility", "timing"],
    "timeline":        "3-6 months from first meeting to close"
  },
  "angel_investment": {
    "what_they_want":  "Early bet on founder, interesting problem, some traction",
    "check_size":      "$10K to $250K per angel",
    "decision_factors": ["founder_conviction", "problem_clarity", "early_signal"],
    "timeline":        "Faster than VC — weeks to months"
  },
  "crowdfunding": {
    "reward_based":   "Pre-sell product or offer rewards — Kickstarter model",
    "equity_based":   "Sell small equity stakes to many investors",
    "donation_based": "Raise from believers with no financial return",
    "key_drivers":    ["compelling_story", "clear_reward", "social_proof", "urgency"]
  },
  "nonprofit": {
    "major_donors":   "High-net-worth individuals — relationship and impact driven",
    "foundations":    "Grant applications — mission alignment and outcomes focused",
    "individual":     "Mass fundraising — emotional connection and small ask",
    "corporate":      "Sponsorship and partnership — mutual benefit framing"
  }
}

Step 2: Investor/Donor Psychology

INVESTOR_PSYCHOLOGY = {
  "VC_decision_framework": {
    "market":      "Is this market large enough that even a small share is a big company",
    "team":        "Does this team have an unfair advantage in this specific problem",
    "product":     "Is there evidence that people want this and will pay for it",
    "timing":      "Why is now the right moment for this to exist",
    "returns":     "Is there a realistic path to the return profile we need"
  },

  "angel_psychology": {
    "primary_driver": "Angels often invest in founders they believe in personally",
    "secondary":      "Interesting problem in a domain they understand",
    "tertiary":       "Financial return is real but often secondary to participation"
  },

  "donor_psychology": {
    "identity":    "Giving expresses who the donor is and wants to be",
    "impact":      "Donors want to feel their contribution made a specific difference",
    "community":   "Being part of something larger than themselves",
    "recognition": "Acknowledgment appropriate to the gift level",
    "trust":       "Confidence that the organization will use the gift well"
  }
}

Step 3: Pitch Architecture

INVESTOR_PITCH_STRUCTURE = {
  "problem": {
    "goal":     "Establish that the problem is real, large, and currently poorly solved",
    "evidence": "Data on scale, stories that make it human, gap in current solutions",
    "length":   "1-2 slides or 2-3 minutes — do not linger"
  },

  "solution": {
    "goal":     "Show that your approach solves the problem in a way that others have not",
    "format":   "Demo if possible — showing beats telling every time",
    "key":      "Connect directly to the problem — do not make investors work to see the link"
  },

  "market": {
    "TAM_SAM_SOM": {
      "TAM": "Total Addressable Market — everyone who could theoretically buy",
      "SAM": "Serviceable Addressable Market — the portion you can realistically reach",
      "SOM": "Serviceable Obtainable Market — what you will capture in years 1-3"
    },
    "credibility": "Bottom-up calculations from unit economics beat top-down percentages",
    "mistake":     "'1% of a $10B market' is the least convincing slide in every pitch"
  },

  "traction": {
    "goal":     "Evidence that reality is confirming your hypothesis",
    "metrics":  ["Revenue or ARR and growth rate",
                 "User/customer count and retention",
                 "Key partnerships or pilots",
                 "Waitlist or pre-orders if pre-revenue"],
    "framing":  "Show the trajectory, not just the number"
  },

  "team": {
    "goal":     "Why you specifically are the right people to build this",
    "content":  ["Relevant experience — not resume, but why it matters for THIS company",
                 "Domain expertise or unfair advantage",
                 "Previous wins that demonstrate execution",
                 "What is missing and how you will fill it"],
    "mistake":  "Listing credentials without connecting them to why they matter here"
  },

  "business_model": {
    "content":  ["How you make money",
                 "Unit economics — CAC, LTV, payback period",
                 "Why this model is defensible"],
    "key":      "Show that the business works at scale, not just that it can get revenue"
  },

  "ask": {
    "specificity": "Exact amount being raised and what it will be used for",
    "milestones":  "What you will achieve with this capital that makes the next raise easier",
    "terms":       "Valuation, instrument type, and any existing commitments",
    "mistake":     "Vague asks signal unclear thinking about the business"
  }
}

Step 4: Fundraising Materials

FUNDRAISING_MATERIALS = {
  "pitch_deck": {
    "length":   "10-15 slides. More signals inability to prioritize.",
    "sequence": ["Problem", "Solution", "Market", "Product", "Traction",
                 "Business Model", "Team", "Financials", "Ask"],
    "design":   "Clean, consistent, data-forward. Visuals support the story."
  },

  "executive_summary": {
    "purpose":  "One-page filter for investors before they request the deck",
    "content":  ["Problem and solution in 2 sentences",
                 "Market size",
                 "Traction headline number",
                 "Team in 2 sentences",
                 "Ask and use of funds"],
    "length":   "One page. If it does not fit in one page, it is not sharp enough."
  },

  "financial_model": {
    "required_tabs": ["P&L projection 3-5 years",
                      "Unit economics",
                      "Headcount plan",
                      "Cash flow and runway calculation",
                      "Key assumptions clearly labeled"],
    "credibility_rules": ["Bottom-up revenue build",
                           "Costs that reflect reality not wishful thinking",
                           "Sensitivity analysis on key assumptions"]
  },

  "data_room": {
    "contents": ["Incorporation documents",
                 "Cap table",
                 "Financial statements or management accounts",
                 "Key contracts",
                 "IP ownership documentation",
                 "Team agreements"]
  }
}

Step 5: Closing the Round

CLOSING_FRAMEWORK = {
  "creating_momentum": {
    "principle":   "Investors follow other investors. Lead with your strongest commitment.",
    "tactics":     ["Get a lead investor first — others follow",
                    "Create a close date — open-ended rounds close slowly",
                    "Update all investors simultaneously — FOMO is real",
                    "Never lie about investor interest — it always surfaces"]
  },

  "handling_objections": {
    "market_too_small": "Reframe with bottom-up calculation showing realistic path to $100M+",
    "too_early":        "Acknowledge, pivot to what milestone would change their view",
    "team_gap":         "Acknowledge specifically, show plan to fill including named candidates",
    "valuation":        "Show comparable companies, defend with traction and growth rate"
  },

  "term_sheet_basics": {
    "key_terms":     ["Valuation — pre-money and post-money",
                      "Investment amount and instrument",
                      "Board composition",
                      "Liquidation preference",
                      "Anti-dilution protection",
                      "Pro-rata rights"],
    "principle":     "Optimize for the investor relationship, not just the terms",
    "legal_advice":  "Always have a startup-experienced lawyer review before signing"
  }
}

Quality Check Before Delivering

  • Fundraising type matched to appropriate investor or donor psychology
  • Problem framed from investor or donor perspective not founder perspective
  • Market sizing is bottom-up not top-down percentage
  • Traction presented as trajectory not just current number
  • Team section connects experience to this specific problem
  • Ask is specific with use of funds and milestones
  • Financial model assumptions are labeled and defensible
  • Legal review recommended before any term sheet signed
安全使用建议
This skill is instruction-only and coherent for fundraising advice, so technical risk is low. However: (1) the agent may ask you for sensitive business or personal data (financials, cap table, investor contact lists) to produce tailored pitches — do not share secrets you wouldn't want exposed. (2) Treat any investor outreach drafts as drafts: review and verify accuracy, compliance with securities/regulatory rules, and privacy norms before sending. (3) If you need the agent to contact third parties or use external accounts, provide minimal, purpose-limited credentials and consider using non-sensitive test data first.
功能分析
Type: OpenClaw Skill Name: funding Version: 1.0.0 The skill bundle is a purely informational resource providing frameworks and templates for fundraising and investment intelligence. It contains no executable code, data exfiltration logic, or malicious instructions, focusing entirely on guiding the agent to provide advice on pitching, investor psychology, and fundraising materials (skill.md).
能力评估
Purpose & Capability
Name and description claim a fundraising/advice capability and the SKILL.md contains frameworks, workflows, templates, and guidance appropriate for that purpose; there are no unrelated requirements (no env vars, binaries, or config paths).
Instruction Scope
The runtime instructions are guidance, templates, and checklists for fundraising and pitching. They do not instruct the agent to read arbitrary files, access system configs, or send data to external endpoints outside normal agent behavior.
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing will be written to disk or downloaded during install.
Credentials
The skill declares no required environment variables, credentials, or config paths. The content does not attempt to justify access to unrelated secrets or services.
Persistence & Privilege
always is false and the skill does not request elevated persistence or modification of other skills or system settings. Autonomous invocation is allowed (platform default) but not combined with other high-risk factors.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install funding
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /funding 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
Slug funding
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Funding 是什么?

Complete fundraising and investment intelligence system for startups, nonprofits, and individuals raising capital. Trigger whenever someone needs to raise mo... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 352 次。

如何安装 Funding?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install funding」即可一键安装,无需额外配置。

Funding 是免费的吗?

是的,Funding 完全免费(开源免费),可自由下载、安装和使用。

Funding 支持哪些平台?

Funding 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Funding?

由 agenticio(@agenticio)开发并维护,当前版本 v1.0.0。

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