setup

النجوم٠

التفرعات٠

آخر تحديث١٠ مارس ٢٠٢٦ في ١٩:٤٧

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.

التثبيت

التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.

المصدر

sunnypatneedi

sunnypatneedi/claude-code-contextstellar

فتح مستودع GitHub عرض مستودعات المنشئ

تنزيل

المهن ذات الصلةSOC

استنادا إلى تصنيف SOC المهني

مطوّرو البرمجياتمهن الحاسوب والرياضيات·SOC 15-1252

SKILL.md

readonly

name	setup
description	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.
disable-model-invocation	true

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

المزيد من هذا المستودع

نفس المستودع

optimize

sunnypatneedi/claude-code-contextstellar

Analyze recent prompt patterns and suggest optimizations. Use when the user wants to improve their prompting patterns, reduce token costs, or see what the RLM flywheel has learned about their project.

2026-03-100

score

sunnypatneedi/claude-code-contextstellar

Score a prompt for context engineering quality. Use when the user asks to score, analyze, or optimize a prompt, or when reviewing prompt quality before sending to an LLM.

2026-03-100

stats

sunnypatneedi/claude-code-contextstellar

Show ContextStellar scoring statistics, RLM learning progress, and grade distribution for the current project. Use when the user asks about their scoring stats, prompt quality trends, or RLM weight learning.

2026-03-100

name	setup
description	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.
disable-model-invocation	true

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