| name | yc-advisor |
| description | This skill should be used when the user asks questions about startups, founding decisions, co-founders, fundraising, product development, growth, hiring, or any entrepreneurial advice. It provides access to Y Combinator's complete library of 443 curated resources including essays by Paul Graham, founder interviews, and startup school lectures. Use this skill to give thorough, research-backed advice on startup decisions. |
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.mdto 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.mdif user is on a founder journey - Check
references/frameworks/for decision questions - use globreferences/frameworks/*.mdto 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 globreferences/DZ-*.mdto find the file - WARNING: NEVER read
index.yaml- it exceeds token limits (64K tokens)
- Example: For code
- 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.mdfor 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}-*.mdto 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)