[Issue] General List Of Analytics Things To Do

[jolson-ibm]

Description

General list of things to do on the analytics front. Break this issue up into other backlog issues as appropriate.

Deploy the nightly GitHub Action metrics script to the following repositories, thereby moving the project GitHub metric into the AI Alliance analytics data lake::

Llama Stack (@deanwampler)

1. Llama Stack Intro App
2. Llama Stack Core - Meta (need followup meeting)
3. Llama Stack TBD

MCP

1. MCP Context Forge (Mihi) (@rawkintrevo)
2. MCP Agent (@deanwampler)
3. Encrypt (@deanwampler)

NLIP (?) (@deanwampler - Sean H and Peter)

AI Alliance (@jolson-ibm)

1. ai-in-finance-example-app (@deanwampler)
2. All "Living Guides" - "Applying AI"......
3. Alley Cat
4. AI Application (?)
5. Hardware
6. https://github.com/The-AI-Alliance/ai-accelerator-software-ecosystem-guide

IBM

1. Unitxt (@deanwampler , Peter)
2. Docling (@AF-IBM)
3. GEO-Bench (@AF-IBM)
4. Terratorch (@AF-IBM)
5. Models - TBD (@AF-IBM)

Figure out which of the above produce PyPi packages and add them to the PyPi analytics job.

PyPi

1. terratorch
2. llama-stack / llama-stack-client
3. GEO-Bench
4. docling, docling-core
5. unitxt
6. mcp-contextforge-gateway
7. mcp-agent
8. secure-mcp-gateway

Google Analytics

Move all relevant analytic data from Google Analytics to the AI Alliance data lake. This will need to be an AWS Fargate job. Follow the established pattern. (Santana)

Social Media

Add all relevant analytic data from the following social media platforms to the AI Alliance data lake. This will also need to be an AWS Fargate job. Follow the established pattern.

1. LinkedIn - Santana
2. YouTube - Santana
3. Bluesky - Santana
4. X - Santana
5. Reddit - Santana
6. Slack - Tim

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Checklist

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