GitHub
web-browser
Automate Chrome/Chromium via CDP: navigate, click, fill forms, evaluate JS, screenshot, scrape.
☆ 37Voir le skill
Skills IA devops llm ai
Découvrez les skills devops llm ai, comparez leurs dépôts et consultez leurs instructions.
Catégories: devops llm ai
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Explorer
GitHub
ralph
Implement the Ralph Wiggum iterative AI loop for Codex/Claude Code: create /ralph-loop and /cancel-ralph commands, wire a stop hook or wrapper loop, persist a fixed prompt, track iterations, and detect a comple...
☆ 37Voir le skill
GitHub
creative-problem-solver
Lateral-thinking playbook for options and trade-offs; always deliver a five-tier strategy portfolio.
☆ 37Voir le skill
GitHub
gen-mindset
Mine Codex sessions to synthesize your top software design heuristics (no quotes, no evidence).
☆ 37Voir le skill
GitHub
skill-developer
Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation,...
☆ 37Voir le skill
GitHub
jtbd
Jobs to Be Done analysis to understand what customers really want. Use for product discovery, competitive analysis, or understanding why customers hire/fire solutions.
☆ 37Voir le skill
GitHub
argus-research-analyst
ARGUS NANO v2.1 - Compact research skill for context-limited sessions (~3KB). FOCO: Triangulacao (Academico + Pratico + Empirico), validacao de claims, busca multi-fonte com niveis de confianca. DROID: argus-...
☆ 37Voir le skill
GitHub
memory-management
Persistent memory management for Claude Code via AutoMem. Use this skill when: - Starting a session (recall project context, decisions, patterns) - Making architectural decisions or library choices - Fixing bug...
☆ 37Voir le skill
GitHub
tool-dev
专门用于开发 FastGPT 系统工具和工具集的技能，包含 Zod 类型安全验证、共享配置管理和完整测试工作流。适用于创建新的 FastGPT 工具、开发包含子工具的工具集、或实现带有正确配置和测试的 API 集成。
☆ 37Voir le skill
GitHub
rag-architecture
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
☆ 37Voir le skill
GitHub
agent-orchestration
Transform clarified user requests into structured delegation prompts optimized for specialist agents (cto-architect, strategic-cto-mentor, cv-ml-architect). Use after clarification is complete, before routing t...
☆ 37Voir le skill
GitHub
llm-evaluation
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing...
☆ 37Voir le skill
GitHub
skill-evaluator
Evaluates agent skills against Anthropic's best practices. Use when asked to review, evaluate, assess, or audit a skill for quality. Analyzes SKILL.md structure, naming conventions, description quality, content...
☆ 37Voir le skill
GitHub
opus-4-5-migration
Migrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5. Use when the user wants to update their codebase, prompts, or API calls to use Opus 4.5. Handles model string updates and pr...
☆ 37Voir le skill
GitHub
langchain-patterns
Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating...
☆ 37Voir le skill
GitHub
context-engineering
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.
☆ 37Voir le skill
GitHub
prompt-engineering
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI...
☆ 37Voir le skill
GitHub
python-pro
Expert Python developer specializing in modern Python 3.11+ with deep expertise in type safety, async programming, testing, and production-grade code. Invoke for Pythonic patterns, type hints, pytest, async/awa...
☆ 37Voir le skill
GitHub
model-finetuning
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with...
☆ 37Voir le skill
GitHub
rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs...
☆ 37Voir le skill
GitHub
prompt-optimizer
Mevcut promptların token kullanımını ve başarı oranını optimize etme.
☆ 37Voir le skill
GitHub
cli-developer
Expert CLI developer for command-line tools, terminal applications, and developer utilities. Invoke for CLI design, argument parsing, interactive prompts, progress indicators, shell completions. Keywords: CLI,...
☆ 37Voir le skill
GitHub
huggingface-transformers
Hugging Face Transformers best practices including model loading, tokenization, fine-tuning workflows, and inference optimization. Use when working with transformer models, fine-tuning LLMs, implementing NLP ta...
☆ 37Voir le skill
GitHub
docx
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx file...
☆ 37Voir le skill
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.