improve

Validate insights and create reviewable pull requests for shared documentation.

2|1|Updated May 1, 2026
One-click install
npx skills add https://github.com/RelevanceAI/relevance-builder-kit --skill improve-relevanceai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve
Source: https://github.com/RelevanceAI/relevance-builder-kit/tree/main/.claude/skills/improve
Command: npx skills add https://github.com/RelevanceAI/relevance-builder-kit --skill improve-relevanceai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users capture specific mid-flow insights as clear, reviewable pull requests, streamlining the process of knowledge sharing and documentation.

Core Features & Use Cases

  • Insight Validation: Ensures that the captured insight is actual, non-obvious, and adds concrete value.
  • Structured Documentation: Guides users to create consistent, repository-style entries that facilitate review and merging.
  • Use Case: When a user notices an improvement or correction during a session, they can invoke this Skill to formalize it as a PR for collaborative review and future reference.

Quick Start

Invoke /improve after observing an insight; the Skill will guide you through validation and creation of a PR with the captured content.

Frequently Asked Questions about improve

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

FAQPage Schema
How do I capture mid-session insights as reviewable pull requests?

To capture insights as reviewable pull requests, you can invoke the /improve command during your session. It guides you through validating the observation and structuring the content into a formalized PR for team review.

What is the best way to formalize real-time codebase improvements for team review?

Formalizing real-time codebase improvements involves structuring your observations into consistent, repository-style entries. This ensures the added content is non-contradictory, valuable, and reusable across different project contexts before merging.

How do I validate that a captured insight adds concrete value to shared documentation?

Validating a captured insight requires checking that the observation is actual, non-obvious, and adds concrete value to shared documentation. The validation process ensures your contribution enhances the codebase without introducing conflicts.

Can I create documentation pull requests directly from within my project repository?

Yes, you can create documentation pull requests directly within project repositories. The process operates inside your repository to validate, structure, and formalize incremental knowledge contributions into reviewable PRs.

When should I formalize a correction into a structured pull request instead of noting it?

You should formalize a correction into a structured pull request when the observation captures a non-obvious improvement. Structuring it as a PR streamlines knowledge sharing, ensures reusability, and enables collaborative review for future reference.

Does creating knowledge capture PRs require external dependencies or modules?

No, creating knowledge capture PRs does not require external dependencies or modules. The process operates independently to validate and structure your insights into high-quality, reviewable contributions for your codebase.