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devops llm ai AI Skills

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GitHub

slim-executive-summary

NASA-AMMOS

Generate comprehensive executive summaries from workspace communication files using AI analysis with automatic context discovery

GitHub

nanobanana

maragudk

Guide for generating and editing images using generative AI with the nanobanana CLI

GitHub

decisions

maragudk

Guide for recording significant architectural and design decisions in docs/decisions.md. Use this skill when clearly significant architectural decisions are made (database choices, frameworks, core design patte...

GitHub

breakdown

vinzenz

Break down a PRD or CRD into self-contained implementation tasks for LLM execution. Use when you have a PRD/CRD file and want to generate executable task files for autonomous implementation.

GitHub

claude-code-hooks

vasilyu1983

Create event-driven hooks for Claude Code automation. Configure PreToolUse, PostToolUse, Stop, and other hook events with bash scripts, environment variables, matchers, and exit codes.

GitHub

claude-code-mcp

vasilyu1983

Configure and build Model Context Protocol (MCP) servers for Claude Code integration. Set up database, filesystem, git, and API connections. Build custom MCP servers with TypeScript/Python SDK, implement tools...

GitHub

qa-agent-testing

vasilyu1983

QA harness for agentic systems: scenario suites, determinism controls, tool sandboxing, scoring rubrics, and regression protocols covering success, safety, latency, and cost.

GitHub

data-analytics-engineering

vasilyu1983

Analytics engineering for reliable metrics and BI readiness. Build transformation layers, dimensional models, semantic metrics, data quality tests, and documentation. Use when you need dbt or SQL transformation...

GitHub

ai-llm

vasilyu1983

Production LLM engineering skill. Covers strategy selection (prompting vs RAG vs fine-tuning), dataset design, PEFT/LoRA, evaluation workflows, deployment handoff to inference serving, and lifecycle operations...

GitHub

router-engineering

vasilyu1983

Master orchestration for routing technical problems through 33 engineering skills - AI/ML, software development, data, APIs, and Claude Code framework

GitHub

claude-code-commands

vasilyu1983

Create slash commands for Claude Code with $ARGUMENTS handling, agent invocation patterns, and template best practices. Reference for building user-triggered workflow shortcuts.

GitHub

ai-llm-inference

vasilyu1983

Operational patterns for LLM inference: latency budgeting, tail-latency control, caching, batching/scheduling, quantization/compression, parallelism, and reliable serving at scale. Emphasizes production-grade p...

GitHub

help-center-design

vasilyu1983

Design AI-first help centers, knowledge bases, FAQs, and learning materials using 2025-2026 best practices

GitHub

ai-mlops

vasilyu1983

Complete MLOps skill covering production ML lifecycle and security. Includes data ingestion, model deployment, drift detection, monitoring, plus ML security (prompt injection, jailbreak defense, RAG security, p...

GitHub

ai-rag

vasilyu1983

Complete RAG and search engineering skill. Covers chunking strategies, hybrid retrieval (BM25 + vector), cross-encoder reranking, query rewriting, ranking pipelines, nDCG/MRR evaluation, and production search s...

GitHub

claude-code-agents

vasilyu1983

Create and configure Claude Code agents with YAML frontmatter, tool selection, model specification, and naming conventions. Reference for building specialized AI subagents that handle complex, multi-step tasks.

GitHub

docs-ai-prd

vasilyu1983

Write PRDs, specs, and project context optimized for coding assistants (Claude Code, Cursor, Copilot, Custom GPTs). Includes CLAUDE.md generation, session planning, and templates for creating documentation that...

GitHub

claude-code-skills

vasilyu1983

Comprehensive reference for creating Claude Code skills with progressive disclosure, SKILL.md structure, references/ organization, frontmatter specification, and best practices for modular capability developmen...

GitHub

ai-agents

vasilyu1983

Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and build-vs-not decision guidance (modern be...

GitHub

context-compression

muratcankoylan

Design and evaluate context compression strategies for long-running agent sessions. Use when agents exhaust memory, need to summarize conversation history, or when optimizing tokens-per-task rather than tokens-...

GitHub

tool-design

muratcankoylan

Design tools that agents can use effectively, including when to reduce tool complexity. Use when creating, optimizing, or reducing agent tool sets.

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