Automate Pi Agent self-improvement by capturing learnings and validating skill accuracy.
npx skills add https://github.com/Dwsy/agent --skill evolution-dwsy
Please help me install this Agent Skill. Skill: evolution Source: https://github.com/Dwsy/agent/tree/main/skills/evolution Command: npx skills add https://github.com/Dwsy/agent --skill evolution-dwsy
This skill enables Pi Agent to self-improve by capturing learnings, correcting errors, and validating skills.
To begin, trigger an evolution opportunity by letting the hook detect an error or pattern and follow the Workhub workflow to document and publish changes.
High-intent search queries and answers about installing and using this skill.
Automated self-improvement works by using hooks to detect errors or patterns during development sessions, then capturing learnings and validating skill accuracy through template-driven workflows to generate and publish issues or PRs.
You set up automatic error correction by configuring a hooks-based trigger system to detect improvement opportunities, then applying evolution markers with companion scripts to document, implement, and verify skill changes.
Yes, you can integrate self-correction workflows with Workhub. The skill uses template-driven workflows and companion scripts to automatically create issues and PRs in Workhub when improvement opportunities are detected.
The best way is to implement a hooks-based trigger system that detects errors and patterns, then uses evolution markers and companion scripts to validate accuracy and automatically publish issues or PRs via Workhub integration.
Yes, you need a hooks-based trigger system and companion scripts. These components detect improvement opportunities during development and generate the necessary Workhub issues or PRs to document and publish skill updates.
Automated self-improvement requires evolution markers to identify and document specific learnings and corrections within content, enabling the hook system to accurately track and validate skill changes across development sessions.
Fabio29TObserve Claude Code sessions via hooks to create atomic instincts with confidence scoring.
shekerkammaDetect corrections and learnings embedded in user messages during conversations.
Manvendra08Extract reusable patterns and error resolutions from Claude Code session transcripts.
Rayder-23Encode session learnings into Reusable Intelligence Infrastructure components.
