القائمة
Tracks and motivates learning progress with streaks, achievements, and personalized encouragement
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | progress-motivator |
| description | Tracks and motivates learning progress with streaks, achievements, and personalized encouragement |
Tracks and motivates learning progress with streaks, achievements, and personalized encouragement to maintain engagement and momentum in educational pursuits.
USER: How am I doing? OR What's my progress? OR I'm feeling stuck
SKILL RESPONSE:
1. Progress Summary: Provide current status with metrics and achievements
2. Streak Status: Report current learning streak and days active
3. Milestone Recognition: Highlight recent achievements or upcoming goals
4. Personalized Motivation: Offer encouragement based on user's learning style/patterns
5. Suggested Next Steps: Recommend specific next actions based on progress
6. Gamification Elements: Use badges, points, or challenges if appropriate
Expert in developing deterministic FastAPI backends for content delivery, navigation, and rule-based quiz grading. Knowledgeable in Zero-Backend-LLM principles, ensuring no LLM calls are made in the core API routes.
Skilled in developing Next.js/React web applications for Phase 3 and integrating with the OpenAI Apps SDK for Phase 1. Focuses on responsive LMS dashboards and conversational UI integration.
Expert in selective LLM integration using Claude Agent SDK. Specialized in implementing premium-gated features like adaptive learning paths and LLM-graded assessments while maintaining strict isolation from deterministic logic.
Specialist in configuring Cloudflare R2 for verbatim content storage and media assets. Experienced in deploying Python applications to Fly.io or Railway and managing Neon/Supabase database integrations for progress tracking.
Specialized in code review and API auditing to ensure Zero-Backend-LLM compliance in Phase 1. Responsible for verifying that no forbidden LLM API calls, RAG summarization, or agent loops exist in the backend.
Explains educational concepts in a clear, step-by-step manner with examples and analogies