Agent skill

Usv Network Effects

by questflowai in questflowai/investorskills

A skill your agent uses when evaluating platforms, marketplaces, and networks through a USV-style lens: network effects, defensibility, protocols, openness, and scalable distribution.

MITAuto-check passed

Install Usv Network Effects

skills CLI
$ npx skills add questflowai/investorskills --skill usv-network-effects -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install questflowai/investorskills usv-network-effects --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/usv-network-effects .claude/skills/usv-network-effects && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
usv-network-effects
GitHub stars
1.9k
Token cost
~499 tokens
SKILL.md length
195 words
Files
2
Skills in repo
63
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when evaluating platforms, marketplaces, and networks through a USV-style lens: network effects, defensibility, protocols, openness, and scalable distribution.

  • Works in 4 steps: Identify the network nodes and… → Test whether density improves product… → Assess defensibility and… → …
  • Evaluating platforms
  • SKILL.md covers When To Use, Do Not Use When, Inputs Needed and Process, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Usv Network Effects is an agent skill from questflowai/investorskills. Use when evaluating platforms, marketplaces, and networks through a USV-style lens: network effects, defensibility, protocols, openness, and scalable distribution.

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `invest.md`).

The repository describes itself as: Investor Skills is an open-source library that turns durable investing judgment into portable, structured formats. It collects how great investors think, filter opportunities… The licence is MIT.

When your agent uses it

  • Evaluating platforms
  • Networks through a USV-style lens: network effects
  • Scalable distribution

Example prompts

  • “/usv-network-effects”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Identify the network nodes and interactions.
  2. Test whether density improves product value.
  3. Assess defensibility and reverse-network-effect risks.
  4. Underwrite monetization without destroying the network.

What it can do on your machine

Read from SKILL.md and the folder at commit 2844d78. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Usv Network Effects loads about 499 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 195 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~499

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from questflowai/investorskills at commit 2844d78, republished under its MIT licence (© questflowai). 195 words, ~499 tokens.

Download SKILL.mdSave it as .claude/skills/usv-network-effects/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
usv-network-effects
description
Use when evaluating platforms, marketplaces, and networks through a USV-style lens: network effects, defensibility, protocols, openness, and scalable distribution.
invest
./invest.md

USV Network Effects

Use this skill to apply Union Square Ventures-style judgment.

When To Use

Use this skill when the user asks for:

  • marketplace diligence
  • network-effect analysis
  • protocol/platform evaluation
  • defensibility review
  • USV-style network business screen

Trigger phrases include USV, network effects, marketplace defensibility, protocol, platform openness, viral distribution.

Do Not Use When

  • Another investor skill fits the setup better.
  • Critical primary evidence is unavailable.
  • The user wants guaranteed returns or unbounded risk.
  • The request is generic chatter with no decision.

Inputs Needed

  • Company, startup, token, report target, or market context
  • Primary documents, product data, user/revenue evidence, or research materials
  • Time horizon, capital structure, and risk constraints
  • Valuation or round pricing if sizing/commitment is requested

Process

  1. Identify the network nodes and interactions.
  2. Test whether density improves product value.
  3. Assess defensibility and reverse-network-effect risks.
  4. Underwrite monetization without destroying the network.

Output Format

md
# USV Network Effects View: [Subject]

## Verdict
Network Invest / Watch / Weak Defensibility / Commodity App / Pass

## Thesis

## Evidence

## Risks

## Action Plan

## Invalidation

## Missing Data

Guardrails

  • Do not force conviction without evidence.
  • Do not ignore incentives, structure, or liquidity/risk constraints.
  • Separate facts, assumptions, and judgment.
  • Do not present this as financial advice.

Questflow Use

In Questflow, this skill is best used as a specialized judgment module for research workflows, Fund theses, diligence, monitoring, and decision support.

© questflowai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/usv-network-effects of questflowai/investorskills.

  • SKILL.md
  • invest.md

Open the folder on GitHubat commit 2844d78

Compare with similar skills

Usv Network Effects next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Usv Network Effects compared with similar skills
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Usv Network Effects this skillquestflowai/investorskills1.9k—~499Automated safety check: PassMIT
Evaluating Threat Intelligence Platformsmukul975/Anthropic-Cybersecurity-Skills34k—~1.9kAutomated safety check: PassApache-2.0
Arize Evaluatorgithub/awesome-copilot40k2 repos~8.1kAutomated safety check: NotesMIT
LLM Evaluationdavila7/claude-code-templates32k12 repos~3.5kAutomated safety check: PassMIT
Llmops Platform Engineeringsickn33/agentic-awesome-skills47k2 repos~3.5kAutomated safety check: PassMIT
Agent Evaluationsickn33/agentic-awesome-skills47k1 repos~2kAutomated safety check: PassMIT

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Questions about Usv Network Effects

What does Usv Network Effects do?

A skill your agent uses when evaluating platforms, marketplaces, and networks through a USV-style lens: network effects, defensibility, protocols, openness, and scalable distribution. Usv Network Effects is an agent skill from questflowai/investorskills. Use when evaluating platforms, marketplaces, and networks through a USV-style lens: network effects, defensibility, protocols, openness, and scalable distribution.

When should I use Usv Network Effects?

Usv Network Effects fits situations like: evaluating platforms; networks through a USV-style lens: network effects; scalable distribution.

How do I install Usv Network Effects in Claude Code?

Run `npx skills add questflowai/investorskills --skill usv-network-effects -a claude-code`. Or copy the skill folder (skills/usv-network-effects in questflowai/investorskills) into .claude/skills/usv-network-effects in your project. Claude Code loads it when a task matches its description.

How do I install Usv Network Effects in Codex?

Run `npx skills add questflowai/investorskills --skill usv-network-effects -a codex`. Or copy the skill folder (skills/usv-network-effects in questflowai/investorskills) into .agents/skills/usv-network-effects in your project. Codex loads it when a task matches its description.

Can I use Usv Network Effects in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add questflowai/investorskills --skill usv-network-effects -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/usv-network-effects, .gemini/skills/usv-network-effects, .github/skills/usv-network-effects and .opencode/skills/usv-network-effects in your project.

What does Usv Network Effects need to run?

SKILL.md names no scripts, command-line tools or credentials: Usv Network Effects is instructions for the agent only.

Does Usv Network Effects access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Usv Network Effects safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Usv Network Effects use?

Usv Network Effects is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Usv Network Effects use?

About 499 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Usv Network Effects?

Skills that share tags, products or a category with Usv Network Effects: Evaluating Threat Intelligence Platforms (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 32k stars) and Llmops Platform Engineering (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Usv Network Effects?

questflowai (a GitHub organization) maintains it in questflowai/investorskills, which has 1,895 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on August 23, 2026.

Source: questflowai/investorskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.