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Capability Evolver

Analyze runtime logs to identify error patterns and generate health scores.

Updated Feb 15, 2026
Search Tags:#logs#stability#reliability#evolution#deterministic#analyze
One-click install
npx skills add https://github.com/aleph23/Natasha --skill capability-evolver-aleph23
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Capability Evolver
Source: https://github.com/aleph23/Natasha/tree/main/skills/capability-evolver-pro
Command: npx skills add https://github.com/aleph23/Natasha --skill capability-evolver-aleph23

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes runtime logs to identify error patterns, regressions, and inefficiencies, then generates structured improvement proposals to help agents improve reliability and performance.

Core Features & Use Cases

  • Deterministic, local analysis with no external API calls
  • Analyze, evolve, and status actions to assess health, root causes, and prioritized improvements
  • Works with single-agent logs or fleet-wide data to detect cross-agent patterns

Quick Start

Provide your runtime logs and run capability-evolver with action analyze to generate initial patterns and a health score.

Frequently Asked Questions about Capability Evolver

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze runtime logs to identify error patterns and regressions?▼

To analyze runtime logs for error patterns and regressions, provide your log data to the local analyzer to receive structured patterns, a health score, and prioritized improvement recommendations.

What is deterministic log-based evolution for software reliability?▼

Deterministic log-based evolution is a local analysis process that identifies error patterns and inefficiencies in runtime logs without external API calls, generating structured improvement proposals to enhance reliability and performance.

Can I assess fleet-wide agent health using local log analysis?▼

Yes, you can assess fleet-wide agent health by analyzing cross-agent patterns in your runtime logs, detecting shared regressions and inefficiencies across single-agent or fleet-wide datasets to support root-cause analysis.

How do I generate prioritized improvement plans from runtime logs?▼

You generate prioritized improvement plans from runtime logs by running the evolve action, which transforms detected error patterns and inefficiencies into concrete recommendations suitable for immediate action.

Does local log analysis require external API calls to detect inefficiencies?▼

No, local log analysis operates deterministically without external API calls, identifying error patterns and inefficiencies entirely on your local machine to ensure privacy and reliable performance assessments.

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