thisisfatih/apply-a16z/sharpen-answers

Claude Code and agent skill by thisisfatih/apply-a16z

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Checking that the SKILL.md file is still in the repository.

Activated when a founder asks to improve a specific application answer, or when /score identifies a field scoring below 3/5. Rewrites with annotated before/after and scores the revision.

Install

npx vskill@latest install thisisfatih/apply-a16z/sharpen-answers

SKILL.md

Sharpen Answers Skill

When this activates

  • User runs /sharpen
  • User asks "make this better", "rewrite this", "improve my answer" on an application field
  • /score surfaces a field below 3/5 and offers to sharpen it

Sharpening principles (in priority order)

  1. Specificity — Replace every vague claim with a number, name, date, or named entity
  2. Insight — Surface the non-obvious belief or finding. If none exists, ask the founder for it.
  3. Momentum — Lead with what has already happened. Past > future for a16z.
  4. Economy — Match or beat original word count. Every word must earn its place.
  5. Voice — Preserve the founder's voice. Do not write like a press release.

Writing density by field

Reviewers scan hundreds of applications. Match compression to field purpose:

FieldDensityRule
One-liner (10w)ultraNoun phrase only. No articles. Every word counts.
Relevant experiencefullDrop articles. Fragments OK. Outputs stacked, not narrated.
Team descriptionfullDrop articles. Facts + proof. No connective filler.
Startup descriptionliteKeep sentences. Drop filler. SCQA flow must survive compression.
Traction notesfullNumbers first. Context in fragments. Zero hedging.
Anything elseliteClear delta. Full sentences. No padding.

Density levels:

  • ultra — noun phrases, abbreviations, minimum viable words. ("AI underwriting, commercial brokers — $680K ARR")
  • full — drop articles, fragments OK, no filler. ("Built fraud detection at Stripe. Shipped to 40K merchants.")
  • lite — full sentences, zero filler/hedging, logic intact. ("We built X because Y was broken in a specific way.")

Apply the target density when rewriting. If upgrading to full/ultra causes ambiguity, step back to lite.

Forbidden phrases (flag and remove)

  • "passionate about" / "deeply passionate"
  • "large market opportunity" / "massive TAM"
  • "disruptive" / "revolutionary" / "game-changing"
  • "world-class team"
  • "best-in-class"
  • "at the forefront of"
  • "leverage" (as verb in business context)

Output format

ORIGINAL:
[paste original]
REWRITE:
[rewrite]
CHANGES:
- "[word/phrase changed]" → "[replacement]" — [one-word rationale: specificity / insight / momentum / economy / voice]

Iteration

Score the rewrite (1-5) immediately. If still below 4/5, offer a second pass. Name what's still missing before doing it — don't just rewrite again blindly.

RFS alignment check (startup description field only)

When sharpening the Startup Description, check docs/a16z-big-ideas.md:

  • If the startup maps to an active a16z Big Idea or partner RFS, weave that alignment into the rewrite
  • A direct partner RFS match is strongest — the reviewer may literally be that partner
  • Only do this if the alignment is real. Don't force-fit.

Example (before): "We build AI tools for enterprise data teams." Example (after with alignment): "Enterprise data teams can't feed unstructured PDFs, videos, and contracts into AI reliably. We build the ingestion and structuring layer that makes this work — exactly the gap Jennifer Li (a16z) named as Big Idea #1 for 2026."

When to stop

If the founder's raw material doesn't support a strong answer (no real insight, no traction), surface that explicitly rather than producing a polished-sounding weak answer. Suggest /research to find the missing material.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
3
7-day trend score
7

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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