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vc-curated-match

vc-curated-match

github.com/varnan-techOther68742 installsUpdated 2w ago
Repository

About vc-curated-match

vc-curated-match is a skill for finding venture funds suited to a startup or open-source project from its description and URL. It accepts an optional funding stage and runs a Python script to produce a Markdown report of matches.

Key features

  1. 01Matches VC funds to product descriptions
  2. 02Uses a product URL as input
  3. 03Optional funding-stage filter
  4. 04Generates a Markdown report
  5. 05Python 3.10+ standard library only

Use cases

  1. 01Finding investors for a startup
  2. 02Identifying funds by stage or industry
  3. 03Matching a project's technology to investor theses

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/varnan-tech/opendirectory --skill vc-curated-match

After installing, type/vc-curated-matchin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

README.md
data/
vc_funds.json
evals/
ai-b2b-saas-seed.md
devtool-oss-seed.md
evals.json
fintech-india-preseed.md
varnan-seed.md
scripts/
fetch_product_context.py
generate_report.py
match_vcs.py
run.py

Details

From the project README

VC Curated Match Skill

Identify targeted VC funds based on a product's description and URL.

When to Trigger This Skill

Use this skill when the user asks to:

  • Find investors for their startup or open-source project.
  • Get a list of relevant VC funds by stage, industry, or space.
  • Match their product built with specific technologies to investor theses.

Step 1: Confirm Input

Ask the user for the product description and the URL. Optional parameters:

  • Stage: Pre-Seed, Seed, Series A (--stage)
  • Output: e.g., vc-matches.md (--output)

Step 2: Fetch Matches & Generate Report

Run the orchestrator script to handle context fetching, VC matching, and Markdown generation in one command.

python scripts/run.py --description "A fast rust-based web framework" --url "https://example.com"

For custom requests, append overrides:

python scripts/run.py \
  --description "..." \
  --url "..." \
  [--stage Seed] \
  [--output matched-investors.md]

Step 3: Present Results

Summarize the closest matches returned. Mention high-confidence matches explicitly. Provide the output path.

Dependencies

Standard Python 3.10+ library (no external packages required).

Comments

Markdown supported