yc-advisor

This skill provides access to Y Combinator's comprehensive library of 443 startup resources - essays, podcast transcripts, and video transcripts from YC partners, successful founders, and industry experts.

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Install skill "yc-advisor" with this command: npx skills add agent-3-7/agent37-skills-collection/agent-3-7-agent37-skills-collection-yc-advisor

YC Advisor

Overview

This skill provides access to Y Combinator's comprehensive library of 443 startup resources - essays, podcast transcripts, and video transcripts from YC partners, successful founders, and industry experts.

How to Use This Skill (Tiered Retrieval)

Key Principle: Use quick-index for discovery, but ALWAYS load full source content before answering.

Step 1: Understand Context (for broad questions)

For broad questions, clarify the user's context:

  • Stage: Pre-idea | Idea | Building MVP | Launched | Scaling

  • Type: B2B | Consumer | Hardware | AI/ML | Marketplace

  • Role: Technical founder | Non-technical | Solo | With co-founder(s)

Step 2: Discovery

  • Load references/quick-index.md to scan available resources (~500 lines, grouped by topic)

  • Identify 3-5 most relevant resources based on the question (line counts help estimate size)

  • Check references/learning-paths.md if user is on a founder journey

  • Check references/frameworks/ for decision questions - use glob references/frameworks/*.md to list files, then read specific ones

  • For deeper search, use grep on references/summaries.md (too large to load fully)

Step 3: Deep Dive

  • Find files using the code - use glob pattern references/{CODE}-*.md

  • Example: For code DZ , use glob references/DZ-*.md to find the file

  • WARNING: NEVER read index.yaml

  • it exceeds token limits (64K tokens)

  • Load the FULL content of top 2-3 resources

  • Read completely - do not skim

  • Extract key insights, quotes, and actionable advice

Step 4: Synthesize Answer

  • Combine insights from multiple sources

  • Quote directly from source material when valuable

  • Always cite author and title for each point

  • Acknowledge tradeoffs and contradictions between sources

  • Never answer from summaries alone - always load full source content

Topic Categories

The library covers these main areas (use for initial filtering):

  • Getting Started: Should you start? Startup ideas, order of operations, student founders

  • Co-founders: Finding, relationships, equity splitting, technical vs non-technical

  • Product: MVP, product-market fit, design, building for users

  • Fundraising: Seed, Series A, investor pitching, SAFEs, term sheets

  • Growth & Metrics: Growth strategies, KPIs, conversion, retention

  • Customers & Sales: Talking to users, first customers, pricing, enterprise sales

  • Hiring & Team: First hires, engineering teams, equity, management

  • Culture & Leadership: Building culture, CEO evolution, board management

  • Common Mistakes: Startup killers, financial health, when to quit

  • Pivoting & Launching: Pivot strategies, launch timing, press

  • Scaling: Later stage advice, unicorn characteristics

  • Mindset: Resourcefulness, handling rejection, goal setting

  • AI Startups: AI opportunity, moats, vertical agents, vibe coding

  • Founder Interviews: Airbnb, Stripe, Coinbase, Reddit, Twitch, DoorDash

  • Specialized: Hardware, biotech, dev tools, crypto, location

  • Joining Startups: Choosing a startup, stages, equity

  • YC Application: Application tips, process, YC effect

  • Legal: Startup mechanics, terms, agreements

Usage Guidelines

For Complex Decisions

Questions like "Should I start my own startup or co-found with someone?":

  • Load quick-index.md to identify relevant resources

  • Read 3-5 full source files covering different perspectives

  • Synthesize across sources - look for consensus and contradictions

  • Present balanced view acknowledging tradeoffs

  • Cite specific authors and titles

  • Ask clarifying questions about user's specific situation

For Factual Questions

Questions like "What are the most common mistakes that kill startups?":

  • Use quick-index.md to find the most authoritative source

  • Load and read the full source file

  • Present comprehensively - don't over-summarize

  • Cite the source

For Learning Journeys

When users want to learn systematically:

  • Check references/learning-paths.md for curated sequences

  • Guide them through resources in order

  • Summarize key takeaways at each step

Resources

references/quick-index.md (Primary Discovery)

Lightweight index (~500 lines) grouped by topic. Each entry shows:

  • Code, title, author, type, line count, founder stage

  • Use this first - small enough to load fully

  • Use glob pattern references/{CODE}-*.md to find files by code

references/summaries.md (Deep Search)

Detailed summaries with content previews (~4300 lines). Too large to load fully.

  • Use grep to search for specific keywords

  • Provides more context than quick-index when needed

references/index.yaml (Maintenance Only - DO NOT READ)

Structured metadata for all resources. Too large for runtime use (64K tokens). Used only by maintenance scripts. For filename lookups, use quick-index.md instead.

references/learning-paths.md

Curated resource sequences for common founder journeys:

  • First-time founder path

  • AI startup path

  • Fundraising path

  • And more...

references/frameworks/ (Use glob to list, NOT Read)

Decision frameworks for common questions. Use glob references/frameworks/*.md to list files. Available frameworks:

  • should-i-start-a-startup.md

  • solo-vs-cofounder.md

  • bootstrap-vs-raise.md

  • when-to-pivot.md

  • when-to-quit.md

  • technical-cofounder-needed.md

references/*.md

The 443 full-content source files. Each follows this structure:

[Title]

Author: [Author Name] Type: [Essay|Podcast|Video] URL: https://www.ycombinator.com/library/[CODE]-[slug]


[Full content - essays, transcripts]

File naming: [CODE]-[descriptive-name].md (e.g., 8z-how-to-get-startup-ideas.md )

Source Transparency

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