All Skills

Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

This skill should be used when the user mentions "scope", "MVP", "minimum viable", "too much", "overwhelmed", "where do I start", "feature creep", "simplify", "cut scope", "what's essential", or when a conversation reveals expanding complexity, multiple possible approaches, or analysis paralysis. Counterbalances the tendency to over-analyse and over-build.

Use when you have a spec or requirements for a multi-step task, before touching code

Review daily logs and promote entries to registers or working memory.

Use this skill when the user asks to simplify code or reduce complexity. Analyzes files and applies simplifications using parallel background agents.

Derive security requirements from threat models and business context. Use when translating threats into actionable requirements, creating security user stories, or building security test cases.

Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.

# Env & Secrets Manager **Tier:** POWERFUL **Category:** Engineering **Domain:** Security / DevOps / Configuration Management --- ## Overview Complete environment and secrets management workflow: .env file lifecycle across dev/staging/prod, .env.example auto-generation, required-var validation,

Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.

Automate time tracking workflows in Toggl Track -- create time entries, manage projects, clients, tags, and workspaces through natural language commands.

'Prevents sycophantic reasoning through checklist-based analysis, categorical

Update all project documentation after code changes.

Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.

This skill should be used when writing Ruby gems following Andrew Kane's proven patterns and philosophy. It applies when creating new Ruby gems, refactoring existing gems, designing gem APIs, or when clean, minimal, production-ready Ruby library code is needed. Triggers on requests like "create a gem", "write a Ruby library", "design a gem API", or mentions of Andrew Kane's style.

Orchestrate comprehensive planning phase from ideation to development-ready specifications using 4 specialized agents

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

Automate All Images AI tasks via Rube MCP (Composio). Always search tools first for current schemas.

Quantum computing framework for building, simulating, optimizing, and executing quantum circuits. Use this skill when working with quantum algorithms, quantum circuit design, quantum simulation (noiseless or noisy), running on quantum hardware (Google, IonQ, AQT, Pasqal), circuit optimization and compilation, noise modeling and characterization, or quantum experiments and benchmarking (VQE, QAOA, QPE, randomized benchmarking).

Enterprise-level Go architecture patterns including clean architecture,

Implement HIPAA security and privacy rules. Configure PHI protections and BAA requirements. Use when handling healthcare data.

Apply VueUse composables where appropriate to build concise, maintainable Vue.js / Nuxt features.

Refine a feature specification by identifying gaps, ambiguities, and edge cases. Use when the user says 'clarify spec', 'find ambiguity', 'what's missing', 'review spec for gaps', or wants to tighten a spec before planning. Runs after /sdd:specify.

Research customer questions by searching across documentation, knowledge bases, and connected sources, then synthesize a confidence-scored answer. Use when a customer asks a question you need to investigate, when building background on a customer situation, or when you need account context.