Ensures Claude verifies both local tests AND remote CI before claiming completion. Use BEFORE any completion claims, commits, or pull requests. Mandatory verification with evidence.

Run comprehensive code quality checks, tests, and fixes autonomously

Comprehensive autonomous development strategies including milestone planning, incremental implementation, auto-debugging, and continuous quality assurance for full development lifecycle management

Execute implementation plans or backlog items autonomously with shared-context architecture for maximum accuracy

Manages autonomous iterative development loops that repeat until completion. Use when asked to loop, iterate, keep going until done, work autonomously, run overnight, or continue until a condition is met. Supports checkpointing, cost tracking, and safety limits.

---name: autonomous-oncology-agent

Use when starting any work session - establishes autonomous operation mode, overriding token limits and time pressure to work until goal is achieved

Autonomous homelab operations using OODA loop (Observe, Orient, Decide, Act) - use when reviewing system state, planning autonomous actions, or investigating operational issues

Use when user requests autonomous operation across multiple issues. Orchestrates parallel workers using Task tool, monitors with TaskOutput, handles SLEEP/WAKE cycles, and works until scope is complete without user intervention.

Use when user requests autonomous operation across multiple issues. Orchestrates parallel workers, monitors progress, handles SLEEP/WAKE cycles, and works until scope is complete without user intervention.

Execute a single phase from roadmap to working code autonomously

Use this skill when setting up or running autonomous stock trading operations. The system continuously researches stocks, makes trading decisions without human input, executes trades on Alpaca paper trading, and sends Telegram notifications. Based on AI-Trader's autonomous agent pattern.

Autonomous UI inspection using a dual channel: (1) visual screenshots via Playwright MCP tools, (2) numeric layout metrics via Puppeteer scripts. Includes server --check standardization so agents can start/stop reliably.

Execute 1-2+ hour tasks autonomously with minimal supervision. Requires Task Contract (OUTCOME, EXCLUSIONS, DURATION, GUARDRAILS) upfront, then executes with clarification → plan → autonomous work → session report.

Run all phases of a feature sequentially via subagents, respecting dependencies.

Full autonomous execution from idea to working code

Self-producing skill system combining ruler enforcement with skill self-evolution. Implements trifurcation-first imperative via nbb sexp invocation for idempotent agent instruction.

See the main Infrastructure Sizing skill for comprehensive coverage of right-sizing and autoscaling strategies.

Configure autoscaling for Kubernetes, VMs, and serverless workloads based on metrics, schedules, and custom indicators.

This skill analyzes coding sessions to extract durable preferences from corrections and approvals, then proposes targeted updates to Skills that were active during the session. It acts as a learning m

Search millions of new and used cars from dealers and private sellers.

Automatic exploratory data analysis and visualization with a single line of code - generates comprehensive charts, detects patterns, and exports to HTML/notebooks

Skill for adding Stripe checkout and payment flows using Autumn.

Skill for adding feature gating and usage tracking using Autumn.

Skill for integrating Autumn - the billing and entitlements layer over Stripe.

Skill for setting up Autumn billing integration and creating customers.

Extract and organize styles from Avalonia AXAML files

Review AXAML files for Avalonia best practices

Guidelines for modern Avalonia UI layout using Zafiro.Avalonia, emphasizing shared styles, generic components, and avoiding XAML redundancy.

Set up Avalonia UI project with cross-platform XAML for Windows, macOS, and Linux

Optimal ViewModel and Wizard creation patterns for Avalonia using Zafiro and ReactiveUI.

Mandatory skills, conventions, and behavioral rules for Avalonia UI development using the Zafiro toolkit.

Avalonia UI development - XAML, MVVM, styling, and patterns

Programmatically apply UGC (User-Generated Content) to characters including clothing, accessories, and avatar customization. Use when dressing NPCs, building avatar editors, or creating character customization systems.

Control the VTuber avatar system — speak through it with lip sync, change expressions, manage the avatar renderer and control server. Use when interacting with the avatar, making it speak, changing expressions, or troubleshooting avatar connection issues.

Use when building Avo admin interfaces. Creates resources, actions, filters, and dashboards following Avo conventions. Fetches latest docs dynamically.

Stop building features nobody needs. This skill helps you ship products that solve real problems without drowning in unnecessary complexity.

Avoid angle-bracket type assertions (<Type>) and use 'as Type' syntax instead

Teaches when and how to use unknown instead of any type in TypeScript. Use when working with TypeScript code that has any types, needs type safety, handling external data, or when designing APIs. Critical for preventing type safety violations.

Use this skill when validating ANY potential code review finding. Apply BEFORE classifying to verify the finding is real; can you trace incorrect behavior, is it handled elsewhere, and are you certain about framework semantics? If any answer is no, DO NOT create the finding.

Avoid non-null assertion operator (!) and use type-safe alternatives instead

Use when needing to check PR workflow status, especially under time pressure or after pushing commits - ensures verification of unpushed changes, commit correlation, and patient waiting for workflows to complete (up to 20 minutes)

Gaming landing page with GSAP scroll animations, 3D effects, and video storytelling.

The chat will provide safety guides, equipment suggestions, reviews, and techniques, with context-driven summary and multimedia tools to enhance understanding.

Expert guidance for creating GitHub Copilot customizations including custom agents, prompts, instructions, and collections. Based on the awesome-copilot community toolkit with 200+ agents, 180+ prompts, and 150+ instructions. Use when customizing GitHub Copilot, creating specialized AI agents, writing coding standards, or building developer productivity tools.

A structured framework for dynamic and reflective problem-solving through sequential thoughts. Use when tackling complex, multi-step problems that require careful analysis, revision of assumptions, or exploration of alternative approaches. Ideal for algorithm optimization, architectural decisions, debugging complex issues, or any task where initial understanding may need to evolve.

Guidance for working with Awkward Array 2.0 jagged arrays and records in Python. Use when building or debugging `awkward` workflows, including record construction with `ak.zip`, adding fields with `ak.with_field`, filtering/aggregation, combinatorics (`ak.cartesian`/`ak.combinations`), `argmin`/`argmax` slicing, flattening, sorting, and NumPy interop or common Awkward pitfalls.

Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GPU memory, when you need faster inference than GPTQ with better accuracy preservation, or for instruction-tuned and multimodal models. MLSys 2024 Best Paper Award winner.

Manage AWS accounts, organizations, IAM, and billing. Use when setting up AWS Organizations, managing IAM policies, controlling costs, or implementing multi-account strategies. Triggers on AWS Organizations, AWS IAM, AWS billing, Cost Explorer, SCPs, multi-account, AWS SSO, Identity Center.

Expert AWS Cloud Advisor for architecture design, security review, and implementation guidance. Leverages AWS MCP tools for accurate, documentation-backed answers. Use when user asks about AWS architecture, security, service selection, migrations, troubleshooting, or learning AWS. Triggers on AWS, Lambda, S3, EC2, ECS, EKS, DynamoDB, RDS, CloudFormation, CDK, Terraform, Serverless, SAM, IAM, VPC, API Gateway, or any AWS service.