tcf-core-workflow

Standardize TCF session preparation and execution with defined sequencing and language policies.

Updated Aug 12, 2025
One-click install
npx skills add https://github.com/vkhangpham/francais --skill tcf-core-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tcf-core-workflow
Source: https://github.com/vkhangpham/francais/tree/main/.skill-staging/tcf-core-workflow
Command: npx skills add https://github.com/vkhangpham/francais --skill tcf-core-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill standardizes the preparation and execution of TCF sessions, ensuring consistent pre-reads, language policy, skill sequencing, and session closure.

Core Features & Use Cases

  • Shared Pre-read: Consistent pre-reads before sessions to ensure knowledge base readiness.
  • Language Policy: Standardizes French for learner-facing content and English for technical commentary.
  • Sequencing: Orchestration of skill execution in a defined order for efficient workflow.
  • Persistence Rules: Guidance on updating only justified persistence updates during and after sessions.
  • Source-first Rule: Ensures identification and documentation of the chosen source before Phase 2 generation.
  • Follow-up Rule: Recommendations for using tools like self-improving-agent and Beads for follow-up work.
  • Success Criteria: Ensures a good session starts fresh, uses the right source, maintains French learner content, and leaves justified updates.

Quick Start

Start a TCF session by running the tcf-core-workflow skill.

Frequently Asked Questions about tcf-core-workflow

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

FAQPage Schema
How do I standardize preparation and execution for TCF language learning sessions?

Standardize TCF sessions by applying a shared workflow layer that enforces consistent pre-reads, language policy, skill sequencing, and session closure for educational workflows. This ensures knowledge base readiness and consistent execution.

What is the language policy for TCF educational workflows?

The TCF language policy standardizes French for learner-facing content and English for technical commentary. This ensures clear separation between instructional materials and technical workflow documentation.

Can I use this workflow standardization for educational contexts outside of TCF?

This workflow standardization specifically applies to educational and language learning workflows involving TCF session management. It requires adherence to specific language and update policies tailored for TCF contexts.

How do I manage persistence updates during a TCF session?

Manage persistence updates by following guidance to only update justified persistence changes during and after TCF sessions. This prevents unnecessary modifications and maintains workflow integrity.

What is the source-first rule in TCF session workflows?

The source-first rule ensures identification and documentation of the chosen source before Phase 2 generation in TCF sessions. This guarantees proper source attribution before content creation begins.

What follow-up tools work best after completing a TCF session?

After completing a TCF session, recommendations include using tools like self-improving-agent and Beads for follow-up work. These tools help maintain session continuity and workflow improvements.