Killer-Skillsディレクトリで数千のAI Agentスキルを探索・インストール。Claude Code、Windsurf、Cursorなどに対応。
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.
Generate Swimlane Lit Element Solution (CDN). Requires the use-swim-ui skill for component list, API, CDN, and design rules.
Monitor .aget/evolution/ directory health. Validates file counts, naming conventions, disk usage, and returns health status with alerts on anomalies.
Monitor .aget/evolution/ directory health. Validates file counts, naming conventions, disk usage, and returns health status with alerts on anomalies.
Monitor .aget/evolution/ directory health. Validates file counts, naming conventions, disk usage, and returns health status with alerts on anomalies.
Monitor .aget/evolution/ directory health. Validates file counts, naming conventions, disk usage, and returns health status with alerts on anomalies.
Monitor .aget/evolution/ directory health. Validates file counts, naming conventions, disk usage, and returns health status with alerts on anomalies.
Design and implement the Guardian AI companion evolution system - from Level 1 Spark to Level 50 Transcendent. XP mechanics, personality adaptation, and player progression.
Maintain the Oris Rust agent runtime with an issue-driven GitHub workflow. Use when Codex is working in the Oris repository and needs to pick up a GitHub issue, turn the issue into scoped code changes, run Rust validation such as cargo fmt and cargo test, publish the oris-runtime crate to crates.io, close the completed issue, and continue to the next iteration.
issue-resolutionは、AIパワードの生産性コンパニオンを使用して、混沌としたノートをバランスのとれた実行可能なタスクに変換すること
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
AIエージェント評価フレームワークは、AIエージェントシステムの性能を評価するための構造です