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ai-ecosystem-partnerships

Partner ecosystem toolkit: score partner fit, tier the portfolio, map account overlap, and attribute co-sell pipeline. Tested Python CLI plus skills for Claude Code and GitHub Copilot. Synthetic data.

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Set up

Skills are installed by placing their folder where your agent loads skills.

The download comes from github.com/varunk130/ai-ecosystem-partnerships itself, not from our server, so what you get is exactly what its author published.

Install instructions come from the README

Skills do not use an MCP config. Follow the steps in the README below.

README

synced Oct 26, 2026

AI Ecosystem Partnerships

CI License: MIT Python 3.10+

A small, tested toolkit for running a partner ecosystem on evidence instead of anecdote: score partner fit, tier the portfolio, map account overlap, and attribute pipeline to partners. It ships as a dependency-free Python CLI plus six skills for Claude Code and GitHub Copilot, with playbooks for product partnerships, ecosystem leadership, and co-sell.

Created and maintained by Varun Kulkarni

All data in this repository is synthetic.

Contents

How it fits together

flowchart LR
    P[partners.csv] --> S[score]
    A[our accounts +<br/>partner accounts] --> O[overlap]
    D[opportunities.csv] --> T[attribution]
    S --> Q[Partner QBR brief]
    O --> Q
    T --> Q
    S --> R[Portfolio review]
    O --> C[Co-sell action list]

Quickstart

Requires Python 3.10 or newer. There is nothing to install.

git clone https://github.com/varunk130/ai-ecosystem-partnerships.git
cd ai-ecosystem-partnerships
python -m partner_ecosystem score data/partners.csv
partner                type      score  tier       borderline  weakest      motion
---------------------  --------  -----  ---------  ----------  -----------  ----------------------------------------------------
Northwind Data         isv       94.6   Strategic              icp_fit      Joint business plan, exec cadence, dedicated co-sell
Halcyon Cloud          cloud     92.2   Strategic              icp_fit      Joint business plan, exec cadence, dedicated co-sell
Brightline Consulting  si        75.8   Strategic  yes         integration  Joint business plan, exec cadence, dedicated co-sell
Kestrel AI             isv       59.0   Growth                 traction     Targeted account mapping and co-marketing
...

What it answers

QuestionCommand
Which partners deserve investment, and what holds each back?python -m partner_ecosystem score data/partners.csv
Which shared accounts should we work with a partner, and how?python -m partner_ecosystem overlap data/our_accounts.csv data/partner_accounts.csv
What did partners source and influence, and do attached deals win more?python -m partner_ecosystem attribution data/opportunities.csv

Every command takes --format table|json|csv and --partner NAME. score also takes --weights FILE for custom weights, and overlap takes --opportunities FILE to rank plays by open amount.

Playbooks

How to run partnerships, written as decisions rather than theory.

PlaybookCovers
Product partnershipsBuild, buy, or partner; integration depth; scope; commercial models
Leading a partner ecosystemPurpose, tiers, cadence, metrics, ownership, and the first 90 days
Co-sellPreconditions, plays by account situation, rules of engagement, running a joint deal

Skills

SkillUse it for
partner-fit-scorecardPortfolio reviews and tiering decisions
co-sell-account-mappingTurning account overlap into an owned action list
partner-qbr-briefA one-page brief for a partner review
product-partnership-evaluatorBuild, buy, or partner decisions and integration scoping
joint-business-planShared goals, target accounts, and investments with a strategic partner
integration-launch-planLaunching a partner integration and reviewing adoption at 90 days

Install one with cp -r skills/partner-fit-scorecard ~/.claude/skills/.

Documentation

Related work

License

MIT

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