All Skills

This skill should be used when the user asks to "write a report", "executive summary", "research report format", "report structure", "present findings", "business writing", "analysis documentation", or needs guidance on structuring research outputs, executive communication, or professional report formatting.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features. Use when building AI or ML systems.

Discover available Agent skills. Use when users ask "what skills are available", "list skills", "show me skills", or want to browse installed skill capabilities.

Data pipelines, feature stores, and embedding generation for AI/ML systems. Use when building RAG pipelines, ML feature serving, or data transformations. Covers feature stores (Feast, Tecton), embedding pipelines, chunking strategies, orchestration (Dagster, Prefect, Airflow), dbt transformations, data versioning (LakeFS), and experiment tracking (MLflow, W&B).

Automatically look up Teamwork task status, details, or project information when user mentions ticket numbers, asks "what's the status of", or needs quick project context. Performs focused queries without creating or modifying data. Invoke when user asks "status of PROJ-123", "what's in that ticket?", "show me task details", or references Teamwork ticket numbers.

Use this skill when the user asks to end a session, save state, or create a handoff. Runs health checks, captures severity, resume point, and blockers.

Expert automation workflow refactoring tool for Power Automate, n8n, Make, Zapier and other platforms. Optimizes existing flows by improving performance, reliability, maintainability, and best practices compliance. Triggers when user wants to improve, optimize, refactor, correct values, enhance, or modernize workflows. Analyzes JSON, suggests improvements, outputs refactored flow maintaining original functionality unless changes requested.

This skill should be used when the user mentions "database design", "schema design", "graph database", "document database", "polyglot persistence", "data modeling", "Neo4j", "Supabase", "PostgreSQL", "MongoDB", discusses database architecture, choosing databases, or integrating multiple databases. Addresses when to use relational vs graph vs document databases and integration patterns.

This skill should be used when exploring requirements and approaches through collaborative dialogue before planning implementation.

Quick help with drupal.org issue templates, formatting, contributing patches, and best practices. Invoke when user asks "how do I write a bug report?", "drupal.org issue template", "issue formatting", "I have a patch", "contribute back", "submit my fix", "I fixed a bug in a module", or needs help structuring issue descriptions or contributing code to drupal.org projects.

Node.js CLI development with Commander.js, @clack/prompts, and picocolors. Command structure, interactive prompts, state machines, error handling, exit codes, configuration hierarchies.

Flag possible documentation duplication, misplacement, or verbosity. Use when drafting or reviewing docs, backlog items, ADRs, or explanatory text to steer toward a single source of truth.

Kraft CLI commands for building and deploying Unikraft unikernels. Use when working with Kraftfiles, deploying to Unikraft Cloud, or managing unikernel instances.

# Project Change Log Automatically maintain a CHANGELOG.md file following the Keep a Changelog standard. ## When to Use - After creating a commit - When `/commit` command is executed - When user asks to update changelog - When releasing a new version ## Changelog Format The standar

Use when working with code refactoring context restore

Research a topic and produce a structured summary with key findings

Strategic guidance for designing modern data platforms, covering storage paradigms (data lake, warehouse, lakehouse), modeling approaches (dimensional, normalized, data vault, wide tables), data mesh principles, and medallion architecture patterns. Use when architecting data platforms, choosing between centralized vs decentralized patterns, selecting table formats (Iceberg, Delta Lake), or designing data governance frameworks.

Semantic code search and AI-powered codebase Q&A across indexed repositories. Use when understanding code beyond local files, exploring dependencies, discovering cross-project patterns, planning features, debugging, or onboarding. Queries like "How does X work?", "Show me Y patterns", "How is library Z used?". Provides search (fast, returns file locations) and chat-with-codebase (slower, costs more, but returns synthesized answers).

Builds a protocol-based async/await networking layer with URLSession, testable abstractions, error handling, and mock support for Swift projects. Use when user says "add networking", "create an API layer", "fetch data from API", "build a network service", "add URLSession", "implement HTTP requests", "create a REST client", or "set up API calls".

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

Generate a feature design (design.md) in specs/{feature}/ with user stories, acceptance criteria, technical approach, API contracts, and research decisions.

Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.

Design, implement, debug, and harden integrations between AI agents and Bitrix24 REST API (webhooks, OAuth 2.0, scopes, events, batch, limits, and REST 3.0). Use when asked to connect AI assistants/agents to Bitrix24, automate CRM/tasks/chats, process Bitrix24 events, choose an auth model, or resolve Bitrix24 API errors and performance issues.

Secure git push with automatic secret detection, README generation, and repository setup. Scans for secrets, auto-generates README, configures repo description/topics/discussions, and pushes to GitHub.