weaver-evolve
2021291696/weaver-evolve
weaver-evolve is a dual-platform knowledge-maintenance suite built for OpenAI Codex and Claude Code, providing automated error retrospectives, memory management, file organization, and self-iteration.
29 0MITUpdated 2026-08-12
77
GreatOverview
This repository provides a comprehensive suite of coding-agent skills designed to maintain project memory, organize files safely, and transform recurring errors into structured prevention rules and skill improvements. Supporting both OpenAI Codex and Claude Code environments, it coordinates periodic maintenance and error retrospectives using confidence-graded categorization and structured markdown logging.
Capabilities
- ▸Error scanning and root cause analysis across session logs
- ▸Confidence-based error categorization and grading
- ▸Automated maintenance rule generation for CLAUDE.md or AGENTS.md
- ▸Filesystem structure learning and safe file reorganization
- ▸Cross-platform support for OpenAI Codex and Claude Code
Best for
Conducting systematic post-project error reviews and generating prevention rules, Managing cross-project knowledge persistence and memory recall, Organizing directory structures safely through structured file cleanups, Self-iterating and coordinating agent workflows across multiple platforms
Works with
CodexClaude Code
Evoa Score breakdown= Σ (score × weight)
77Task usefulness20%88 → +17.6
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
Code quality15%90 → +13.5
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%100 → +15.0
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
Documentation12%37 → +4.4
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
Security15%80 → +12.0
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
Originality10%85 → +8.5
ありふれたラッパーではない独自性。 — AIによる独自性判定
Popularity8%37 → +3.0
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%50 → +2.5
対応AIエージェントの広さ。 — AIによる対応エージェント判定
Weighted total76.5 / 100
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
The skill performs local log scanning, file organization, and markdown updates. Users should review generated prevention rules and file moves before confirming batch execution.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.