knowledge-acquisition-4c
從未知領域到專業的系統化學習方法論
发现 工具与集成 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
從未知領域到專業的系統化學習方法論
量化交易策略開發、回測與風險管理
內容一致性檢查器 — 確保程式碼、文檔、多來源之間保持一致
類 Slay the Spire 的卡牌構築 Roguelike 遊戲設計框架
交易策略優化方法論,從診斷到達標的迭代流程
Generate relevant memes using the memegen.link API. Use this skill when users request memes, want to add humor to content, or need visual aids for social media. Supports hundreds of popular meme templates with...
Perform comprehensive dead code and clean-up analysis in Python projects using static analysis, coverage, dependency checks, and security scanning. Use when asked to clean up code, find unused code, analyze dep...
Access plain text versions of GitHub content (diffs, patches, raw files) using GitHub's URL transformations. Use when users share GitHub URLs for PRs, commits, files, or gists and you need to analyze the actual...
Master the art of creating effective AI agent personas for Jules. Learn how to design role-specific prompts that guide Jules to execute tasks with precision, following best practices, and maintaining project st...
Delegate asynchronous coding tasks to Jules (Google's AI coding agent) to maximize efficiency. Use for code reviews, refactoring, adding tests, bug fixes, and documentation. Proactively suggest Jules delegation...
Manage kanban boards using the Kan CLI. Use when working with tasks, cards, boards, columns, or project tracking via the kan command.
Database skill for the ikigai project
Send push notifications to the user via ntfy.sh
Test-Driven Development (Strict) skill for the ikigai project
Align skill for the ikigai project
Zero Technical Debt skill for the ikigai project
Arena Allocator Pattern (C-Specific) pattern for C development
Creating pull requests with concise descriptions
Iterator Pattern pattern for C development
JSONL event stream for external integrations and hooks
Vtable Pattern (C-Specific) pattern for C development
Mocking skill for the ikigai project
Refactoring Techniques refactoring skill
Context Driven Development pipeline for release workflows
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。