數據與 AI

Validate Claude Code skills, commands, agents, hooks, and plugins against specifications.Checks structure, format, best practices, and common issues before committing or distributing.Use when: validating skills, checking plugins, linting components, ensuring quality.Activates for: "validate skill", "check skill", "validate plugin", "lint skill", "verify skill"

Use when building a production-ready REST API from requirements through deployment.Orchestrates 8-12 specialist agents across 5 phases using Test-Driven Development methodology.Covers planning, architecture, TDD implementation, comprehensive testing, documentation, andblue-green deployment over a 2-week timeline with emphasis on quality and reliability.

Analyze and fix CI/CD pipeline failures including build errors, test failures, and linting issues

Årlig migration og arkivering af festivaldata. Brug ved skift til nyt festivalår (2025→2026), arkivering af gammel data, eller forberedelse til ny sæson.

Build OpenCode plugins, agents, hooks, and tools. Use when creating, reviewing, or debugging OpenCode extensions. Covers plugin architecture, agent configuration, lifecycle hooks, custom tools, and distribution. Invoke PROACTIVELY when user mentions OpenCode plugins, agents, hooks, or wants to extend OpenCode functionality.

Ejecuta flujos RAG en Obsidian para responder, resumir, reorganizar o crear notas nuevas con citas trazables.

Use when generating PDFs from markdown with Pandoc - covers differences from Python-Markdown, blank line rules, fix scripts for labels/anchors/metadata, and visual testing workflow

This skill should be used for thorough AI review via Codex CLI (gpt-5.2-max). Triggers include architectural decisions, blocking issues, final review before done, or when consult-light escalates due to low confidence.

Create CrewAI workflows as NestJS applications under apps/crewai/. FUTURE: Same pattern as LangGraph - NestJS app, same webhook pattern as n8n, receive same parameters, wrap as API agents. CRITICAL: Status webhook URL must read from environment variables.

Fast code generation agent optimized for speed and iteration

Comprehensive database security scanning and data integrity validation. Identify security vulnerabilities, enforce OWASP compliance, validate data types/formats/ranges, ensure referential integrity, and implement business rules. Use when assessing database security, checking compliance, validating data integrity, or enforcing constraints.

Enforce comprehensive deployment verification after deploying code, scripts, or configurations. Use after any deployment, build, or installation operation. Prevents deployment verification failures (FP-9).

Evolve and maintain game vision through Q&A interviews and decision tracking. Use when exploring game concepts, validating feature alignment, or making design decisions.

Extracts all chunks with three-tier contextual embeddings from a specific PDF file in Qdrant vector database and saves to plain text. Use when user wants to extract, export, dump, or view all chunks from a PDF document, inspect file content, save chunks for analysis, or review contextual embeddings.

Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.

MoAI-ADK's foundational principles - TRUST 5, SPEC-First TDD, delegation patterns, token optimization, progressive disclosure, modular architecture, agent catalog, command reference, and execution rules for building AI-powered development workflows

Manage storage devices and resources in Proxmox. Monitor storage usage, allocate resources, and plan storage expansion for your virtualization infrastructure.

Proteomics analysis toolkit for label-free quantitative proteomics. Invokes R scripts for normalization, visualization (volcano, heatmap, PCA, LOPIT), pathway analysis (KEGG, ConsensusPathDB), and protein list cross-referencing (MISEV2018, SASP, Matrisome). USE WHEN user says 'analyze proteomics', 'volcano plot', 'normalize protein data', 'pathway enrichment', 'check EV markers', 'SASP analysis', 'matrisome', OR mentions q-value, fold-change, or protein quantification.

Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates

MUST INVOKE this skill when creating focused prompts in .prompts/prompts/ and multi-stage chains in .prompts/metaprompt/. Create, audit, and maintain all types of prompts including standalone prompts and meta-prompts for AI-to-AI workflows.