Skill

setup

Set up ContextStellar cloud mode for RLM learning and dashboards. Use when the user wants to configure an API key, connect their project, or upgrade from local-only scoring.

npx claudepluginhub sunnypatneedi/claude-code-contextstellar

Tool Access

This skill uses the workspace's default tool permissions.

Preview

The plugin works out of the box in **local mode** — scoring runs locally with zero config.

SKILL.md

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ContextStellar Setup

The plugin works out of the box in local mode — scoring runs locally with zero config.

This command upgrades to cloud mode for RLM adaptive weight learning, team dashboards, and cross-session analytics.

What to do

Check current mode:

If CONTEXTSTELLAR_API_KEY is set → already in cloud mode, test connectivity
If not set → explain that local mode is active and working, then offer cloud upgrade

Explain the two modes:

Local mode (current): Scoring runs on your machine via bundled scorer.js. Zero network calls. No signup needed.
Cloud mode (optional): Scores via API with learned weights. Enables RLM flywheel, /contextstellar:stats, /contextstellar:optimize, and the web dashboard.

If the user wants cloud mode, guide them:

Go to https://contextstellar.com/connect
Create a project (if they don't have one)
Generate an API key (starts with cs_live_)
Copy the Project ID

Set environment variables. Tell the user to add these to their shell profile or .env:

export CONTEXTSTELLAR_API_KEY="cs_live_your_key_here" export CONTEXTSTELLAR_PROJECT_ID="your_project_id_here" # Optional: custom instance URL (defaults to https://contextstellar.com) # export CONTEXTSTELLAR_BASE_URL="https://your-instance.contextstellar.com"

Verify connectivity:

curl -s "${CONTEXTSTELLAR_BASE_URL:-https://contextstellar.com}/api/v1/hooks/shell-stats" \ -H "Authorization: ${CONTEXTSTELLAR_API_KEY}"

If you get a JSON response with score, grade, etc., cloud mode is active.

Confirm: After setup, the user gets:

Automatic RLM weight learning (improves after ~100 events)
/contextstellar:stats — scoring dashboard in terminal
/contextstellar:optimize — pattern-based recommendations
Web dashboard at contextstellar.com/dashboard/mission-control

ContextStellar Setup

The plugin works out of the box in local mode — scoring runs locally with zero config.

This command upgrades to cloud mode for RLM adaptive weight learning, team dashboards, and cross-session analytics.

What to do

Check current mode:
- If CONTEXTSTELLAR_API_KEY is set → already in cloud mode, test connectivity
- If not set → explain that local mode is active and working, then offer cloud upgrade
Explain the two modes:
- Local mode (current): Scoring runs on your machine via bundled scorer.js. Zero network calls. No signup needed.
- Cloud mode (optional): Scores via API with learned weights. Enables RLM flywheel, /contextstellar:stats, /contextstellar:optimize, and the web dashboard.
If the user wants cloud mode, guide them:
- Go to https://contextstellar.com/connect
- Create a project (if they don't have one)
- Generate an API key (starts with cs_live_)
- Copy the Project ID
Set environment variables. Tell the user to add these to their shell profile or .env:

export CONTEXTSTELLAR_API_KEY="cs_live_your_key_here"
export CONTEXTSTELLAR_PROJECT_ID="your_project_id_here"
# Optional: custom instance URL (defaults to https://contextstellar.com)
# export CONTEXTSTELLAR_BASE_URL="https://your-instance.contextstellar.com"

Verify connectivity:

curl -s "${CONTEXTSTELLAR_BASE_URL:-https://contextstellar.com}/api/v1/hooks/shell-stats" \
  -H "Authorization: ${CONTEXTSTELLAR_API_KEY}"

If you get a JSON response with score, grade, etc., cloud mode is active.

Confirm: After setup, the user gets:
- Automatic RLM weight learning (improves after ~100 events)
- /contextstellar:stats — scoring dashboard in terminal
- /contextstellar:optimize — pattern-based recommendations
- Web dashboard at contextstellar.com/dashboard/mission-control