capability-evolver

Analyze execution traces to categorize recurring errors and recommend configuration updates.

Updated May 17, 2026
One-click install
npx skills add https://github.com/tiankong0101-byte/skills-registry --skill capability-evolver-tiankong0101-byte
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: capability-evolver
Source: https://github.com/tiankong0101-byte/skills-registry/tree/main/skills/capability-evolver
Command: npx skills add https://github.com/tiankong0101-byte/skills-registry --skill capability-evolver-tiankong0101-byte

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps identify repeated errors, performance regressions, and workflow inefficiencies so you can systematically improve how an agent or process behaves over time.

Core Features & Use Cases

  • Error Pattern Review: Analyze logs and execution traces to find recurring failure modes.
  • Process Optimization: Recommend prompt, configuration, or workflow changes that reduce repeat mistakes.
  • Iteration Tracking: Measure whether fixes actually improve reliability across subsequent runs.
  • Use Case: A team notices the same timeout and tool-selection issues across multiple sessions and uses this Skill to isolate root causes and apply durable fixes.

Quick Start

Ask the skill to review recent execution logs and propose the highest-impact changes to reduce repeated failures.

Frequently Asked Questions about capability-evolver

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

FAQPage Schema
How do I find recurring errors and inefficiencies in agent execution logs?

Analyze execution traces to categorize recurring failure modes and pinpoint process inefficiencies. Reviewing agent logs isolates repeated timeout or tool-selection issues causing performance regressions, enabling systematic root-cause identification for durable workflow fixes.

What is the best way to improve agent workflows and reduce repeated mistakes?

Recommend prompt, configuration, or workflow updates based on root-cause analysis to reduce repeat mistakes. Measuring iteration tracking across subsequent runs ensures that applied process optimization changes actually improve agent reliability and reduce failures.

Can I track whether my prompt updates actually fix performance regressions over time?

Yes, iteration tracking measures whether recommended configuration or prompt updates actually improve reliability across subsequent runs. Comparing execution traces before and after the fix verifies that performance regressions and recurring errors have been systematically resolved.

Does root-cause analysis work for optimizing complex agent tool-selection failures?

Root-cause analysis applies to complex agent tool-selection failures by reviewing execution logs to isolate the trigger. Categorizing these recurring errors allows you to propose specific configuration or prompt updates that prevent the workflow inefficiency from repeating.

When do I need execution trace analysis for process optimization?

Execution trace analysis is needed when a team notices the same timeout or tool-selection issues across multiple sessions. It isolates root causes from recurring errors, providing the data required to apply durable workflow improvements and configuration updates.