intelligems-core

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Shared Python library for Intelligems Analytics skills. Sets up the workspace, API client, metric helpers, and configuration. Run this before using any other Intelligems Analytics skill.

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Sourcevictorpay1/intelligems-analytics
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NPX Install

npx skill4agent add victorpay1/intelligems-analytics intelligems-core

Tags

Translated version includes tags in frontmatter
intelligems-analyticspython-libraryworkspace-setupapi-clientslack-integration

SKILL.md Content

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/intelligems-core

Shared library that powers all Intelligems Analytics skills. Sets up your workspace with the API client, metric helpers, and configuration.
You rarely need to run this directly — other skills (like 
/test-verdict
) automatically check for the workspace and set it up if needed.

What's Included

FilePurpose
ig_client.py
API client with automatic retry and rate-limit handling
ig_metrics.py
Extract values, uplift, confidence, and CI bounds from API responses
ig_helpers.py
Formatting, runtime calculation, variation lookup
ig_config.py
Shared thresholds (80% confidence, 10-day minimum, etc.)
ig_slack.py
Slack Block Kit formatting and webhook delivery
setup_workspace.sh
Creates 
~/intelligems-analytics/
with venv and dependencies
setup_automation.sh
Creates macOS LaunchAgent for scheduled Slack delivery

Step 1: Get API Key

Ask the user for their Intelligems API key.
"What's your Intelligems API key? You can get one by contacting support@intelligems.io"
Never hardcode or assume an API key.

Step 2: Set Up Workspace

Run the setup script to create the workspace:
bash
bash setup_workspace.sh
This creates:
  • ~/intelligems-analytics/
    — working directory
  • ~/intelligems-analytics/venv/
    — Python virtual environment
  • ~/intelligems-analytics/.env
    — API key configuration
Then save the user's API key:
bash
echo "INTELLIGEMS_API_KEY=<user's key>" > ~/intelligems-analytics/.env

Step 3: Copy Core Libraries

Copy all files from 
references/
into the workspace:
bash
cp references/ig_client.py ~/intelligems-analytics/
cp references/ig_metrics.py ~/intelligems-analytics/
cp references/ig_helpers.py ~/intelligems-analytics/
cp references/ig_config.py ~/intelligems-analytics/

Step 4: Verify

Activate the environment and verify the client works:
bash
source ~/intelligems-analytics/venv/bin/activate
python3 -c "
from ig_client import IntelligemsAPI
from dotenv import load_dotenv
import os
load_dotenv()
api = IntelligemsAPI(os.getenv('INTELLIGEMS_API_KEY'))
tests = api.get_active_experiments()
print(f'Connected. Found {len(tests)} active experiment(s).')
"
If successful, the workspace is ready for any Intelligems Analytics skill.