I track what the major AI vendors release – and honestly assess what actually makes my own systems better.
I track
Every new skill goes through four questions. No hype filters – just honest assessment.
I look at what the skill actually promises – in detail, without the marketing wrapper.
Can I use this – does it solve a problem I actually have?
If yes, I implement the method myself – not a 1:1 copy, but my own implementation.
If no, I note that the skill exists – and keep a targeted eye on it.
New entries appear once I have thoroughly evaluated a skill.
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I continuously scan current AI developments and determine what I can improve in my own systems.
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I continuously track what the major vendors release – these analyses are in preparation.
Clear answers to the most important questions about the AI Skill Radar – citable and to the point.
The AI Skill Radar is my personal observation platform. I systematically analyse new skills, agent frameworks and tools from the major AI vendors – Anthropic, OpenAI, Google, Mistral and xAI – and honestly assess which of them actually improves my own systems.
I go through four steps: 1. Review – what does the skill actually promise, without the marketing wrapper? 2. Useful for me? – does it solve a problem I actually have? 3. Build it myself – if yes, my own implementation, no 1:1 copy. 4. Note it – if no, keep it on my radar.
I continuously track five vendors: Anthropic, OpenAI, Google (DeepMind), Mistral and xAI. All of them regularly release new capabilities and frameworks – I check every announcement for genuine value to my systems.
No. External skills are inspiration, not blueprints. When a method convinces me, I implement it myself – adapted to my own architecture and concrete use cases. That is the only way real strengths emerge instead of dependencies.
Because transparency matters. By showing what I observe and how I assess it, I make my thinking process traceable – which also sharpens my own judgement and shows honestly where I stand.
