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Explore a universal cognitive skill taxonomy and benchmarks for AI systems.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Cognitive-Core-Skills" yet — see the docs or source repo.
Using Cognitive-Core-Skills, break down an enterprise knowledge assistant into the eight core skill groups: perception, memory, reasoning, planning, action, verification, learning, and governance. Output a capability list, priorities, and dependencies.
A structured agent capability framework with skill categories, build priorities, and module dependencies.
Based on Cognitive-Core-Skills, create an evaluation plan for a customer service LLM covering reasoning, planning, action, verification, and governance. Include test dimensions, sample tasks, scoring criteria, and CI recommendations.
An actionable evaluation plan with test items, scoring rules, sample cases, and CI integration guidance.
Please use Cognitive-Core-Skills terminology to restructure our AI product roadmap: map current features to the eight cognitive skill categories, identify capability gaps, and recommend iterations for the next two quarters.
A roadmap with unified terminology that shows current mapping, capability gaps, and phased iteration directions.
Use a practical collection of agentic skills to complete complex tasks faster.
Curate and distill agent skills about people, relationships, memorial scenes, and methods.
Give AI agents persistent memory, collaboration rooms, and video generation.
Manage agent skills across collection, recommendation, voting, and continuous evolution.
Selects relevant skill context for AI agents to cut tokens and improve accuracy.
Generate test scenarios and measure how well agents follow skills and rules.