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Self-Improving Agent for Knowledge Curation
self-improving-agent
alirezarezvani/claude-skills
484
This agent enhances AI's auto-memory by analyzing raw learned patterns (from MEMORY.md). It allows users to promote proven knowledge into structured project rules (CLAUDE.md) or extract them into reusable skills. Use it to audit memory health, enforce best practices, and graduate temporary notes into permanent, actionable standards.
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Continuous Skill Learning and Pattern Extraction
continuous-learning
affaan-m/ECC
405
This skill analyzes completed code sessions to automatically extract reusable patterns, transforming raw interaction data into structured, learned skills. It allows the AI to continuously improve its domain knowledge by capturing techniques like error resolution, debugging methods, and workarounds, making it effective for advanced coding assistance and knowledge curation.
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Structuring Supplementary Material for Interspeech
interspeech-supplementary
brycewang-stanford/Awesome-Journal-Skills
331
A comprehensive guide for authors on how to package and present supplementary evidence for INTERSPEECH submissions. It clarifies the difference between core reviewed content and optional accompaniment (audio demos, extended analyses), emphasizing that the main paper must stand alone. Learn best practices for audio curation, layout, and navigating the 'three shelves' structure to maximize impact during the review process.
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简体中文
English