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analyse-trajectory

Audit completed agent chats to identify improvements for instructions, tools, and documentation.

Updated Aug 27, 2026
Search Tags:#documentation#audit#retrospective#trajectory#instruction-improvement#analyse#tool-improvement
One-click install
npx skills add https://github.com/josca42/varro --skill analyse-trajectory
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyse-trajectory
Source: https://github.com/josca42/varro/tree/main/.agents/skills/analyse-trajectory
Command: npx skills add https://github.com/josca42/varro --skill analyse-trajectory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Performs a retrospective audit of completed agent chats to identify concrete improvements to instructions, tools, and documentation. This is post-hoc analysis, not an interactive exploration loop.

Core Features & Use Cases

  • Reviews completed chats to extract actionable improvements for prompts, tool usage, and docs.
  • Generates structured trajectory data and findings to guide system changes.
  • Applies a standardized evaluation framework to prioritize fixes and track progress over time.

Quick Start

Run analyse-trajectory on a completed chat to generate a findings report.

Frequently Asked Questions about analyse-trajectory

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

FAQPage Schema
What is a retrospective audit of completed agent chats?▼

Agent trajectory analysis reviews completed chats to identify actionable improvements for prompts, tool usage, and documentation, ensuring structured evaluation for system enhancements.

How do I extract actionable improvements from completed agent conversations?▼

You can review completed agent chats to extract actionable improvements for prompts, tool usage, and documentation by applying a standardized evaluation framework to generate structured findings.

Can I use this to perform a post-hoc analysis on an interactive exploration loop?▼

No, this performs post-hoc analysis on finished conversations and trajectories, not an interactive exploration loop. It targets completed chats to produce concise findings that inform instruction and tool changes.

What is the best way to prioritize fixes for agent instructions and tools?▼

The best way to prioritize fixes is applying a standardized evaluation framework to completed agent chats, which generates structured trajectory data to guide system changes and track progress over time.

Does this trajectory analysis require any specific dependencies or components?▼

No dependencies or components are required to perform the trajectory analysis. It operates independently to audit completed agent chats and generate findings reports that guide system enhancements.

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