> ## Documentation Index
> Fetch the complete documentation index at: https://www.opendirectory.dev/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# vc-curated-match

> Identify targeted VC funds based on a product's description and URL. This skill matches project inputs to a curated dataset of top global venture capital fir...

<Info>
  **Category:** Research · **Version:** `1.0.0` · **Author:** `OpenDirectory` · **Compatibility:** All targets (claude, codex, opencode, gemini, anti-gravity, openclaw, hermes)
</Info>

> Identify targeted VC funds based on a product's description and URL. This skill matches project inputs to a curated dataset of top global venture capital firms based on industry tags, stage, and geography.

<div className="od-badge-row">
  <a href="https://opendirectory.dev" target="_blank" rel="noreferrer">
    <img noZoom src="https://img.shields.io/badge/opendirectory-skill-blue" alt="opendirectory" />
  </a>
</div>

## Install

<Tabs>
  <Tab title="npx CLI (Recommended)">
    ```bash theme={null}
    npx "@opendirectory.dev/skills" install vc-curated-match --target claude
    ```
  </Tab>

  <Tab title="skills.sh">
    ```bash theme={null}
    npx skills add Varnan-Tech/opendirectory --skill vc-curated-match
    ```
  </Tab>

  <Tab title="Claude Code Native">
    ```bash theme={null}
    /plugin marketplace add Varnan-Tech/opendirectory
    /plugin install opendirectory-gtm-skills@opendirectory-marketplace
    ```
  </Tab>

  <Tab title="Claude Desktop">
    <video controls className="w-full aspect-video rounded-xl mb-4" src="https://github.com/user-attachments/assets/cea8b565-2002-4a87-8857-d902bfcfdc1c" />

    1. Copy `https://github.com/Varnan-Tech/opendirectory/tree/main/skills/vc-curated-match` into [download-directory.github.io](https://download-directory.github.io/) to download the ZIP.
    2. Open **Claude Desktop** -> **Customize** -> **Skills** -> **+** -> **Upload a skill** and drop the folder containing `SKILL.md`.
  </Tab>

  <Tab title="Manus AI">
    <video controls className="w-full aspect-video rounded-xl mb-4" src="https://github.com/user-attachments/assets/17cbee2a-9e17-4bd4-ac46-68e0e92ffab4" />

    [**Install vc-curated-match in Manus AI**](https://manus.im/import-skills?githubUrl=https%3A%2F%2Fgithub.com%2FVarnan-Tech%2Fopendirectory%2Ftree%2Fmain%2Fskills%2Fvc-curated-match\&utm_source=opendirectory)
  </Tab>
</Tabs>

## Overview

The `vc-curated-match` is an OpenDirectory skill that connects founders and open-source creators with highly relevant Venture Capital firms. It relies on a static, curated list of real VC funds to prevent LLM hallucinations, ensuring all recommendations and rationales are grounded in actual fund thesis data.

**Positioning Note**: This skill is intentionally different from live-research investor discovery workflows. It provides deterministic, curated VC matching from a verified static dataset. It is best for fast, low-cost, repeatable first-pass investor targeting.

## Requirements

* Python 3.10+ (Standard Library only used internally by the agent)

## Implementation Specs

* Pulls from a static `data/vc_funds.json` dataset to guarantee data validity.
* Ranks funds using tag-matching algorithms across industry focus, stage, and geography fit.
* Outputs confidence tiers (High, Medium, Low) to transparently surface the precision of the fit.

## Usage

```bash theme={null}
python scripts/run.py \
  --description "A Next.js template for enterprise B2B SaaS" \
  --url "https://trymylandingpage.com" \
  --stage "Pre-seed"
```

## Methodology

* **Tag Matching**: Deterministic keyword matching using whole-word regex boundaries to ensure precision.
* **Geography Inference**: Inferred primarily from the URL Top-Level Domain (TLD). For example, `.in` triggers India and `.eu` triggers Europe.
* **Default Baseline**: Domains like `.com`, `.io`, and `.ai` default to a `Global` geography hint unless a specific `--geography` flag is provided.

## Limitations

* **No Live Research**: This skill does not perform live web discovery and may miss niche or newly launched funds not present in the dataset.
* **Static Dataset**: The VC fund list is a curated static dataset. It reflects fund theses as of the last update and may not capture real-time changes in fund availability or personnel.
* **Taxonomy Constraints**: The scoring engine relies on a fixed taxonomy. Extremely niche or highly unusual product descriptions may not trigger specific industry tags and will default to a "Generalist" view.
* **Human Review Required**: These outputs are best-effort algorithmic matches. They serve as a research starting point and **must be reviewed by a human** before starting outreach.
* **No Financial Advice**: This tool does not provide financial or investment advice.


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