skills.rest
emergent-company
emergent-companyOFFICIAL
Explore all skills by this author →
GitHub

improve-ask-agent

Analyzes agent traces to identify inefficiencies and actionable improvements across prompts, CLI UX, server behavior, and docs gaps.

1|Updated Feb 6, 2026
Search Tags:#documentation#prompt engineering#optimization#cli#agent#trace analysis
One-click install
npx skills add https://github.com/emergent-company/emergent.memory --skill improve-ask-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: improve-ask-agent
Source: https://github.com/emergent-company/emergent.memory/tree/main/.opencode/skills/improve-ask-agent
Command: npx skills add https://github.com/emergent-company/emergent.memory --skill improve-ask-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of analyzing user interactions with the 'ask' agent, identifying inefficiencies, and surfacing actionable improvements to enhance the agent's prompt, command-line interface (CLI), server behavior, and documentation.

Core Features & Use Cases

  • Trace Analysis: Examines recent memory ask agent traces to pinpoint areas for optimization.
  • Improvement Identification: Surfaces specific recommendations for the agent prompt, CLI UX, server functionality, and documentation gaps.
  • Use Case: After noticing users frequently struggle with a particular type of query, you can use this Skill to analyze the corresponding agent traces, understand where the agent falters, and then implement targeted prompt adjustments or documentation updates to improve future interactions.

Quick Start

Analyze the ask agent traces from the last 24 hours to identify potential prompt improvements.

Frequently Asked Questions about improve-ask-agent

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

FAQPage Schema
How do I analyze AI agent traces to identify prompt inefficiencies?▼

To analyze agent traces for prompt inefficiencies, this Skill examines recent interactions to detect tool discipline violations, redundancy, and coverage gaps, generating a structured report for iterative prompt enhancement.

What is agent trace analysis and how does it improve CLI UX?▼

Agent trace analysis reviews user interaction histories to pinpoint UX issues and behavioral anomalies. It categorizes user questions and surfaces actionable improvements for CLI design and server behavior.

How do I find documentation gaps from user interactions with an AI agent?▼

You can find documentation gaps by analyzing agent traces to see where users struggle. The Skill categorizes user questions and identifies missing information, providing recommendations to update documentation.

Can I detect tool discipline violations in my AI agent's command-line interactions?▼

Yes, you can detect tool discipline violations by running a trace analysis. The Skill evaluates recent agent histories to identify when tools are misused or called redundantly, offering structured feedback for optimization.

What is the best way to optimize agent prompts based on past user queries?▼

The best way to optimize agent prompts is to analyze historical traces. This Skill categorizes past user questions and detects coverage gaps, delivering a structured report to guide targeted prompt adjustments.

Related Skills

Explore More Software Engineering Skills→
GabeujinGabeujin

chrome-devtools

Automate browser interactions and analyze network traffic with Chrome DevTools.

Community
Advanced
AradotsoAradotso

align

Adjust system prompts and gate logic to align website-agent builds with Braintrust traces.

Official
Advanced
Ankurjain1121Ankurjain1121

e2e-testing-patterns

Plan standardized end-to-end testing patterns for multi-agent frameworks.

Community
Advanced
roanbrasilroanbrasil
5

llm-observability

Trace LLM calls and track token costs across LangSmith, LangFuse, and Phoenix.

Community
Advanced