No visual example yet
Explore the skilldbs-learning
Pluviobyte
dontbesilent 交互式学习。把一个课题拆成连续学习文章,根据用户在上一篇中的反馈调整下一篇的深度、角度和节奏。 触发方式:/dbs-learning、/dbs-learn、/交互式学习、「带我学一个课题」「继续下一篇」「根据我的反馈写下一篇」 Interactive learning workflow. Builds an a…
OPENAGENTSKILL / DIRECTORY
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
Find a skill for your next task. Preview examples where available.
33–41 / 41
Results: 41
No visual example yet
Explore the skillPluviobyte
dontbesilent 交互式学习。把一个课题拆成连续学习文章,根据用户在上一篇中的反馈调整下一篇的深度、角度和节奏。 触发方式:/dbs-learning、/dbs-learn、/交互式学习、「带我学一个课题」「继续下一篇」「根据我的反馈写下一篇」 Interactive learning workflow. Builds an a…
No visual example yet
Explore the skillframersai
Build autonomous AI agents with adaptive intelligence and emergent behaviors, included with multimodal RAG and optional HEXACO personalities.
No visual example yet
Explore the skillvisit-dav
VisIt - Visualization and Data Analysis for Mesh-based Scientific Data
No visual example yet
Explore the skillrishavbhandari6789
A modular multi-agent framework for video-based pain localisation and adaptive exercise recommendation. This prototype implements the core elements from the OpenRehabAge…
No visual example yet
Explore the skilliamtouchskyer
OPC — One Person Company. A full team in a single Claude Code skill. Adaptive agent orchestrator with 11 built-in roles, 4 modes, and adversarial quality control.
No visual example yet
Explore the skillhe-yufeng
LLM-powered toolkit for skill analysis, AI interviews, resume scoring, and job structuring. Automates professional skill taxonomy and interview processes with adaptive d…
No visual example yet
Explore the skillkasonye
A skill that improves AI aesthetic judgment for web UI generation, review, and refinement.
No visual example yet
Explore the skillDogsTailFarmer
Free trading system for crypto exchanges SPOT market. Adaptive customizable reverse grid strategy based on martingale.
No visual example yet
Explore the skillRaidriar7170
Vision-grounding plugin for browser-use agents with SoM, Florence-2, Vision–DOM alignment, adaptive visual context, and objective evaluation.