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devops llm ai AI 技能

发现 devops llm ai 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。

分类目录: devops llm ai

显示第 2,761–2,784 个,共 13,033 个

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GitHub

web-browser

tkersey

Automate Chrome/Chromium via CDP: navigate, click, fill forms, evaluate JS, screenshot, scrape.

GitHub

ralph

tkersey

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...

GitHub

gen-mindset

tkersey

Mine Codex sessions to synthesize your top software design heuristics (no quotes, no evidence).

GitHub

skill-developer

jefflester

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,...

GitHub

jtbd

neurofoo

Jobs to Be Done analysis to understand what customers really want. Use for product discovery, competitive analysis, or understanding why customers hire/fire solutions.

GitHub

argus-research-analyst

francomascareloai

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-...

GitHub

memory-management

verygoodplugins

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...

GitHub

tool-dev

labring

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。

GitHub

rag-architecture

vuralserhat86

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.

GitHub

agent-orchestration

vuralserhat86

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...

GitHub

llm-evaluation

vuralserhat86

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...

GitHub

skill-evaluator

vuralserhat86

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...

GitHub

opus-4-5-migration

vuralserhat86

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...

GitHub

langchain-patterns

vuralserhat86

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...

GitHub

context-engineering

vuralserhat86

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.

GitHub

prompt-engineering

vuralserhat86

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...

GitHub

python-pro

vuralserhat86

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...

GitHub

model-finetuning

vuralserhat86

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...

GitHub

rag-implementation

vuralserhat86

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...

GitHub

cli-developer

vuralserhat86

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,...

GitHub

huggingface-transformers

vuralserhat86

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...

GitHub

docx

vuralserhat86

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...

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