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Methods for Reliably Activating Claude Code Skills

Published:Jan 3, 2026 08:59
1 min read
Zenn AI

Analysis

The article's main point is that the most reliable way to activate Claude Code skills is to write them directly in the CLAUDE.md file. It highlights the frustration of a team encountering issues with skill activation, despite the existence of a dedicated 'Skills' mechanism. The author's conclusion is based on experimentation and practical experience.

Key Takeaways

Reference

The author states, "In conclusion, write it in CLAUDE.md. 100%. Seriously. After trying various methods, the most reliable approach is to write directly in CLAUDE.md." They also mention the team's initial excitement and subsequent failure to activate a TDD workflow skill.

Research#llm📝 BlogAnalyzed: Jan 3, 2026 07:05

Plan-Do-Check-Verify-Retrospect: A Framework for AI Assisted Coding

Published:Jan 3, 2026 04:56
1 min read
r/ClaudeAI

Analysis

The article describes a framework (PDCVR) for AI-assisted coding, emphasizing planning, TDD, and the use of specific tools and models. It highlights the importance of a detailed plan, focusing on a single objective, and using TDD (Test-Driven Development). The author shares their setup and provides insights into prompt design for effective AI-assisted coding.
Reference

The author uses the Plan-Do-Check-Verify-Retrospect (PDCVR) framework and emphasizes TDD and detailed planning for AI-assisted coding.

Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 08:28

FastDDHPose: Towards Unified, Efficient, and Disentangled 3D Human Pose Estimation

Published:Dec 16, 2025 07:47
1 min read
ArXiv

Analysis

The article introduces FastDDHPose, a new approach to 3D human pose estimation. The focus is on achieving efficiency, unification, and disentanglement. The source is ArXiv, indicating a research paper. Further analysis would require reading the paper itself to understand the specific methods and contributions.
Reference

Test-driven development with an LLM for fun and profit

Published:Jan 16, 2025 15:30
1 min read
Hacker News

Analysis

The article's focus is on the application of Large Language Models (LLMs) in Test-Driven Development (TDD). The title suggests a practical and potentially beneficial use case, hinting at improved efficiency or quality in software development. The 'fun and profit' aspect implies a positive and potentially lucrative outcome.
Reference