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kayba-ai/agentic-context-engine

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1

End-to-end agent evaluation and improvement pipeline. An agent skill from kayba-ai/agentic-context-engine.

kayba-ai/agentic-context-engine2.6k—~1.4kAutomated safety check: PassApache-2.017 days ago
2

Fetch pre-computed insights from the Kayba API and build a structured summary.

kayba-ai/agentic-context-engine2.6k—~1.1kAutomated safety check: PassApache-2.017 days ago
3

Gather domain context about the repository and agent — system prompt, tool definitions, domain docs, and behavior patterns from traces.

kayba-ai/agentic-context-engine2.6k—~1.9kAutomated safety check: PassApache-2.017 days ago
4

Define metrics from Kayba insights, implement them as Python measurement code, run against traces, and iterate until the metrics are clean and meaningful.

kayba-ai/agentic-context-engine2.6k—~3.4kAutomated safety check: PassApache-2.017 days ago
5

Organize computed metrics into a tiered evaluation rubric with leading, lagging, and quality indicators.

kayba-ai/agentic-context-engine2.6k—~2.2kAutomated safety check: PassApache-2.017 days ago
6

Triage each insight into discard/code-fix/prompt-fix and produce a prioritized action plan with specific recommendations.

kayba-ai/agentic-context-engine2.6k—~2.9kAutomated safety check: PassApache-2.017 days ago
7

Human-In-The-Loop gate that presents the action plan with full context, collects an informed approval/modification/rejection decision, and records the outcome.

kayba-ai/agentic-context-engine2.6k—~2.6kAutomated safety check: PassApache-2.017 days ago
8

Implement the approved fixes from the action plan and log all changes.

kayba-ai/agentic-context-engine2.6k—~1.8kAutomated safety check: PassApache-2.017 days ago