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vkhangpham
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tcf-phase1-warmup

Generate adaptive TCF Phase 1 warm-ups from session journals and error tracking data.

Updated Aug 12, 2025
Search Tags:#language learning#adaptive learning#skill assessment#warm-up#TCF
One-click install
npx skills add https://github.com/vkhangpham/francais --skill tcf-phase1-warmup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tcf-phase1-warmup
Source: https://github.com/vkhangpham/francais/tree/main/.skill-staging/tcf-phase1-warmup
Command: npx skills add https://github.com/vkhangpham/francais --skill tcf-phase1-warmup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, json, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of repetitive warm-up sessions by providing an adaptive Phase 1 warm-up that leverages fresh evidence and user-specific weaknesses.

Core Features & Use Cases

  • Adaptive Warm-Up: Reactivates only the right weak points based on fresh evidence.
  • Evidence-Driven: Uses recent session data and learning progress to tailor the warm-up.
  • Use Case: Before starting a TCF session, use this Skill to review and reinforce specific grammar, vocabulary, and error points identified in previous sessions.

Quick Start

Run the tcf-phase1-warmup skill to generate an adaptive warm-up for your TCF session.

Frequently Asked Questions about tcf-phase1-warmup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate an adaptive warm-up for language learning sessions?▼

To generate an adaptive warm-up, this Skill analyzes your recent session journals, vocabulary, grammar, and error tracking files to identify specific weaknesses and create a tailored review.

What is an evidence-driven TCF warm-up?▼

An evidence-driven TCF warm-up uses recent learning progress and session data to reactivate only the specific weak points identified, preventing repetitive sessions and focusing on fresh evidence.

Do I need Python and specific data files to run an adaptive warm-up?▼

Yes, you need Python with pandas, numpy, and json available, along with access to your session journals, vocabulary, grammar, and error tracking files for the data analysis and decision-making process.

How does skill assessment data improve adaptive learning warm-ups?▼

Skill assessment data improves adaptive learning warm-ups by providing evidence of user-specific weaknesses, allowing the system to tailor grammar, vocabulary, and error point reviews for each TCF session.

What are the limitations of using data analysis for TCF warm-up generation?▼

The warm-up generation relies entirely on the quality and availability of your session journals and error tracking files; without fresh evidence from recent learning progress, the adaptive output cannot accurately target weaknesses.

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