Analyze framework telemetry from audit logs, decision stores, and health history.
npx skills add https://github.com/arcasilesgroup/ai-engineering --skill ai-evolve
Please help me install this Agent Skill. Skill: ai-evolve Source: https://github.com/arcasilesgroup/ai-engineering/tree/main/.claude/skills/ai-evolve Command: npx skills add https://github.com/arcasilesgroup/ai-engineering --skill ai-evolve
This skill analyzes framework telemetry to identify patterns, friction points, and optimization opportunities, providing a self-improvement report for human review.
Run the ai-evolve skill to analyze framework telemetry and generate a self-improvement report.
High-intent search queries and answers about installing and using this skill.
Framework telemetry analysis uses audit logs, decision stores, and health history to identify friction patterns and generate ranked, actionable optimization proposals for human review.
Detecting recurring quality gate failures involves aggregating audit log data and decision stores to identify patterns, which generates a self-improvement report with specific optimization proposals.
Telemetry pattern detection analyzes framework health history and decision stores to identify unused skills, generating a self-improvement report with actionable proposals for framework optimization.
Generating an actionable self-improvement report requires analyzing framework telemetry from audit logs and health history to produce a ranked list of optimization proposals for human review.
Comprehensive AI framework analysis requires access to state files and git log data, aggregating audit logs and decision stores to identify patterns and propose optimizations.
Declining health scores are identified by analyzing framework telemetry patterns, generating a self-improvement report with ranked, actionable proposals to address specific friction points and optimize performance.
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