浏览 charlesmsiegel 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
已收录技能
7收录技能的仓库 Stars 合计
5仓库 Forks
10平均每个技能的仓库 Stars
1同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
Simplify overly complex Django code and detect Django-specific anti-patterns. Use when user asks to simplify, refactor, or improve Django code, find N+1 queries, detect Django anti-patterns, optimize QuerySets,...
Simplify overly complex Python code. Use when user asks to simplify, refactor, clean up, make more readable, reduce complexity, improve code quality, find code smells, detect duplicates, or analyze coupling in...
Identify and prioritize technical debt in Python codebases. Use when the user asks to find tech debt, analyze code quality, identify what needs refactoring, find security issues, check test coverage gaps, revie...
World of Darkness 20th Anniversary toolkit for Vampire (V20), Werewolf (W20), Mage (M20), Wraith (Wr20), Changeling (C20), Demon (D20). Creates characters, locations, items, organizations, weapons. Triggers: Wo...
Django development standards for the Tellurium Games World of Darkness application. Use when: creating/editing models (characters, items, locations), implementing CRUD views, building forms, creating templates,...
Integrate Langfuse observability with AWS Strands Agents for comprehensive tracing, monitoring, and debugging of AI agent applications. Use when building Strands agents that need production observability, when...
Build AI agents with the Strands Agents SDK, an open-source framework from AWS. Use when building autonomous agents, creating custom tools with @tool decorator, orchestrating multi-agent systems (swarm, graph,...
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。