Detect conversation patterns and generate structured SKILL.md definitions.
npx skills add https://github.com/Eli5DeFi/Cognos --skill cognos-skillforge
Please help me install this Agent Skill. Skill: cognos-skillforge Source: https://github.com/Eli5DeFi/Cognos/tree/main/modules/cognos-skillforge Command: npx skills add https://github.com/Eli5DeFi/Cognos --skill cognos-skillforge
This Skill automates the creation of new AI skills by identifying and structuring repeatable workflows from conversation patterns, turning observed usage into reusable, testable, and distributable skill definitions.
SKILL.md format.Use the cognos-skillforge skill to create a new skill from the description 'Convert a meeting transcript into action items with owners and deadlines'.
High-intent search queries and answers about installing and using this skill.
To automate AI skill generation from conversation logs, you need a tool that detects recurring conversational workflows and converts them into structured SKILL.md definitions. This process turns observed session patterns into reusable, testable skill definitions.
Converting workflow patterns into structured SKILL.md definitions involves scanning session logs to detect recurring command sequences. The detected patterns are then extracted and formatted into a structured definition file for AI agents.
Yes, you can test and evaluate generated AI skills before distribution. The skill extraction process includes a rigorous automated evaluation framework that scores skill quality to ensure the generated definitions function correctly.
Yes, generating code from conversational data requires a robust understanding of AI agent workflows and skill definition schemas. This prerequisite knowledge is necessary to properly structure and decompose extracted patterns into subskills.
The best way to package and distribute AI skills extracted from session logs is to use an automated skill packaging system. It prepares the generated SKILL.md definitions for distribution across various platforms after testing.
You should decompose an extracted AI skill into subskills when the detected conversational pattern represents a complex, multi-step workflow. This decomposition refines the SKILL.md definition for better modularity and testing accuracy.
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