Skills Guide

Fundraising

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Drives fundraising and investor readiness: market sizing, competitive diligence, pitch decks, financial models, and outreach.

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Sby Skills Guide Bot
ContentIntermediate
7/29/2026
Claude Code
#fundraising#investor-materials#pitch-deck#market-research#outreach

Recommended for

Claude CodeUI/UX designerSEO & contentProduct managerWriter / marketerSolo / indie hacker

Automated summary

This skill acts as a router for fundraising and investor-readiness work, dispatching to dedicated handlers for market research, investor materials (deck, one-pager, financial model) and investor outreach.

Strengths

  • Anchors every artifact to a single confirmed metric set (traction, raise size, use of funds) before anything is generated
  • Runs a consistency pass so no figure disagrees across deck, one-pager, model and application
  • Cleanly separates the three modes (market-research, investor-materials, investor-outreach) with explicit routing
  • Enforces an investor tone: numbers over narrative, no filler

Limitations

  • The skill is only a router: real output quality depends on the handler files, which are not part of the SKILL.md
  • No deck rendering capability of its own; it defers to /ai-slides for visual output
  • Assumes the source metrics are already validated — it does not compute or verify them
When to use it

Use it when preparing a raise: sizing a market, building a pitch deck or financial model, or drafting a cold email to an investor.

When not to use it

Avoid it for growth or social content (use /ai-marketing), sprint reviews or solution intent (/ai-prose), or internal documentation (/ai-docs).

Security analysis

Safe
Quality score92/100

The skill is a router for fundraising tasks, providing instructions for market research, investor materials, and outreach. It does not declare or instruct the use of any tools that could execute destructive, exfiltrating, or obfuscated actions. It focuses on content generation and synthesis, with no direct execution risk.

No concerns found

How this analysis is made

Examples

Seed pitch deck
/ai-fundraising investor-materials build a 12-slide seed pitch deck from our current traction metrics and a $3M raise
Market sizing
/ai-fundraising market-research size the European market for our B2B compliance SaaS and summarize the three closest competitors
Investor cold email
/ai-fundraising investor-outreach draft a cold email to a seed-stage fintech investor, plus a warm intro request I can forward to a founder friend

name: ai-fundraising description: "Drives fundraising and investor readiness: market sizing, competitive diligence, pitch decks, financial models, and investor outreach. Trigger for 'raise money', 'build a pitch deck', 'draft an investor cold email', 'market sizing', 'competitive research', 'financial model for the raise', 'warm intro to investors'. Not for growth/social content; use /ai-marketing instead. Not for sprint reviews or solution intent; use /ai-prose instead. Not for internal docs; use /ai-docs instead." effort: mid argument-hint: "[mode] [topic]" tags: [fundraising, investor, market-research, pitch, outreach]

Fundraising

Router for fundraising and investor-readiness work. Dispatches to handler files by mode.

Workflow

Applies §10.4 DRY (one source-of-truth number set flows to deck, one-pager, model, and application) and §10.7 Clean Code (investor tone: numbers over narratives, no filler).

  1. Detect mode (see Routing).
  2. Load the relevant handler.
  3. Anchor every material to a single set of confirmed metrics — traction, raise size, use of funds — before generating anything.
  4. Run a consistency pass so no number disagrees across artifacts.

Routing

| Sub-command | Handler | Purpose | |-------------|---------|---------| | market-research | handlers/market-research.md | Research-to-decision synthesis (diligence, competitive, sizing) | | investor-materials | handlers/investor-materials.md | Pitch decks, one-pagers, financial models, applications | | investor-outreach | handlers/investor-outreach.md | Cold emails, warm intros, follow-ups |

No sub-command → display the routing table and ask which mode to use.

Examples

User: "build a seed pitch deck from our metrics"

/ai-fundraising investor-materials

Confirms the source-of-truth numbers (traction, raise size, use of funds), then generates a 12-slide deck and audits every claim for investor scrutiny.

Integration

Calls the mode handlers (market-research, investor-materials, investor-outreach). See also /ai-marketing (growth + social content), /ai-prose (sprint review, solution intent), /ai-slides (deck rendering), and /ai-docs (boundaries).

$ARGUMENTS

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/fundraising-ms5lrg93/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/fundraising-ms5lrg93' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/fundraising-ms5lrg93/download' --output '.skill-downloads/fundraising-ms5lrg93/SKILL.md.part' && mv '.skill-downloads/fundraising-ms5lrg93/SKILL.md.part' '.skill-downloads/fundraising-ms5lrg93/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/fundraising-ms5lrg93/SKILL.md' && test -s '.skill-downloads/fundraising-ms5lrg93/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/ai-fundraising' && cp -R '.skill-downloads/fundraising-ms5lrg93' '.claude/skills/ai-fundraising'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/fundraising-ms5lrg93'

openskills read 'fundraising-ms5lrg93'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/fundraising-ms5lrg93/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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