Yc Apply logo

Yc Apply

Community
pedronauck
yc-apply

Prepare, review, and package Y Combinator application answers and founder-video notes using the live form and verified founder facts. Use for a YC application, requested interview practice, or reapplication; not general fundraising or unrelated decks.

Overview

Publisherpedronauck
Repositoryskills
Skill nameyc-apply
Stars
635
Forks
89
Bundled files
21
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 21 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by pedronauck on GitHub. Read the source before you install it.

Installation

Install the Yc Apply AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/pedronauck/skills/tree/main/skills/mine/yc-apply
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/pedronauck/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/mine/yc-apply .claude/skills/yc-apply
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Yc Apply in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Yc Apply on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Yc Apply is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

YC Apply

Complete the requested application task using the founder's facts and the current YC form. Work can start with one answer, a review, video notes, a submission pack, or reapplication; it need not traverse every coaching phase.

Workspace and context

Keep founder data in the separate workspace they chose. Resolve --workspace/--resume, YC_APPLY_WORKSPACE, or an existing 00_meta.md; ask only when no unambiguous location is known. <skill-dir> is this skill's directory, not the workspace. Create the authorized workspace with scripts/bootstrap-workspace.sh; preserve existing files and resume instead of overwriting them.

Use the existing layout: 00_meta.md, 01_form-spec.md, founder/narrative notes, optional 04_research/, 05_drafts/, 06_video/, 06_gate.md, optional 07_interview/, 08_final/, and milestone journal. These are artifact locations, not prerequisites for every task. Legacy --phase numbers may select the corresponding task; they no longer impose a sequential gate.

Capture/verify the live form in 01_form-spec.md for a full application or submission check. Bundled batch forms are dated snapshots, not current authority. A single-answer edit can use the supplied field and limit without a full form-research pass.

Choose the work

  • Draft or improve answers: reuse known facts, batch missing factual questions, and ask a focused follow-up for a consequential ambiguity. Start from a concrete draft when the founder requested drafting. Use matching references/partner-signals.md, references/seven-pitch-questions.md, and references/accepted-examples.md sections when helpful; no compulsory seven-question interview, score threshold, Email Test, or accepted-example quota.
  • Research: investigate unresolved claims that affect the answer. Use applicable assets/research-*.md outlines and bounded native explorers only when independent questions justify them. No five-slice prerequisite. Record evidence and uncertainty; a legitimately inapplicable regulatory slice may be N/A without an invented URL.
  • Review: apply the relevant references/anti-patterns.md guidance. scripts/buzzword-scan.sh suggests clarity candidates; a technical word is not itself a defect. No journal entry is required for every intentional word. Preserve truthful meaning, exact field limits, and the founder's voice.
  • Founder video: read references/video-spec.md and verify current application instructions. Preserve its time/participant/content requirements; use concise talking notes by default. An explicit request for a script is sufficient authorization to draft one; explain the natural-delivery tradeoff without requiring a magic confirmation phrase.
  • Interview: use references/interview-playbook.md for requested practice. Mark the actual interview stage only after a confirmed invite; practice does not imply an invitation. Choose drills for weak answers, with optional timers; no personality performance or fixed rehearsal quota.
  • Reapplication/post-mortem: use references/reapplicant-playbook.md for confirmed changes since the prior application. Do not auto-launch a rejection interview or scaffold another batch unless requested.

Packaging and submission readiness

For a requested final pack, collect the accepted answers in 08_final/SUBMIT.md in current form order. Record the founder's review and the material readiness checks in 06_gate.md:

text
form_current: pass
required_fields_complete: pass
claims_verified: pass
video_conforms: pass
founder_reviewed: pass

Use video_conforms: not_required only when the current form truly requires no video. A missing/failed item remains an explicit gap; optional research, coaching, and scoring cannot block otherwise ready answers. scripts/phase-status.sh <workspace> --submission checks the record and artifacts; it cannot independently prove the truth of a founder claim or the live form's requirements.

The pack is for founder review/use. Actual submission, emails to others, uploads, or disclosure of transcripts require explicit authorization. Preserve existing authorization without asking twice. Never invent metrics, customers, evidence, founder consent, or successful submission. Inspect a selected coding transcript for private data and current upload limits before staging it; do not explore unrelated conversation history.

Use scripts/journal-append.sh for meaningful decisions/handoffs, not every answer or phase. scripts/phase-status.sh <workspace> is an advisory progress inventory, not an instruction to restart completed work. An optional --strict buzzword scan may support a specifically requested lexical audit; it is never proof of application quality.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Yc Apply AI skill do?

Prepare, review, and package Y Combinator application answers and founder-video notes using the live form and verified founder facts. Use for a YC application, requested interview practice, or reapplication; not general fundraising or unrelated decks.

Why use Yc Apply on TypingMind?

Because you install it once and use it with any model. Yc Apply is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Yc Apply in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pedronauck/skills/tree/main/skills/mine/yc-apply. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Yc Apply?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Yc Apply?

As many as you like. As long as a model supports skills, you can use Yc Apply with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Yc Apply AI skill free?

It is published on GitHub by pedronauck. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇