GitHub
django-simplifier
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,...
charlesmsiegel AI Skills
GitHub ↗Explorez les skills IA publiés de charlesmsiegel et consultez leurs instructions source.
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Skills indexés
7Étoiles des dépôts des skills indexés
5Forks du dépôt
10Moyenne des étoiles par skill indexé
1Les étoiles d’un dépôt peuvent se répéter entre ses skills.
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GitHub
python-simplifier
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...
GitHub
technical-debt-detector
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...
GitHub
wod-toolkit
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...
GitHub
tg-standards
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,...
GitHub
langfuse-strands
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...
GitHub
strands-agents
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,...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.