cherry-pr-test
CherryHQ
Test Cherry Studio PRs by resolving and checking out a PR, statically inspecting its changes, running interactive UI tests against a safely tracked Electron instance thr…
ResearchClaude Code
51.6KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
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Results: 25
obsidian-bases
kepano
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or w…
ResearchClaude Code
48.1KGitHub
oversized-cursor
heygen-com
House-style oversized macOS cursor technique for HyperFrames launch videos. Load whenever a scene involves cursors or a pointer-led action, when kicking off a UI scene,…
48KGitHub
context-fundamentals
muratcankoylan
This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention me…
ResearchClaude Code
17.9KGitHub
comm-lit-review
wanshuiyin
Communications-domain literature review with Claude-style knowledge-base-first retrieval. Use when the task is about communications, wireless, networking, satellite/NTN,…
ResearchClaude Code
15.6KGitHub
exa-search
wanshuiyin
AI-powered web search via Exa with content extraction. Use when user says "exa search", "web search with content", "find similar pages", or needs broad web results beyon…
ResearchClaude Code
15.6KGitHub
auto-review-loop
wanshuiyin
Autonomous multi-round research review loop. In Copilot CLI it defaults to the native complementary rubber-duck subagent with host-event model evidence; elsewhere it use…
15.7KGitHub
auto-review-loop-minimax
wanshuiyin
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop…
15.7KGitHub
Mathmodel Skill
handsomeZR-netizen
三竞赛 (CUMCM/MCM/电工杯) 数学建模 skill — harness-agnostic, 同时支持 Claude Code 与 Codex CLI, 全程问答式 (Friendly Mode), 10 阶段 + 4 反馈层 + per-Qi 加权聚合 + 题型 dim 加权 + empirical 实测分位锚定
252GitHub
External platform skills
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