Audit an Anthropic Cookbook notebook based on a rubric. Use whenever a notebook review or audit is requested.
Creates a WorkPlan (Schedule of Intent) and logs U.Work.
Mandatory workflow for creating LLM-facing content. Follow the 4-step process (objective → draft → verify → adjust) before writing any prompt, skill, tool description, or system instruction. Triggers on requests to create or revise skills, prompts, agent workflows, or any content that will be sent to an LLM repeatedly.
Core BMAD Method orchestrator and workflow manager
Implement ASP.NET Identity user and refresh token stores backed by RavenDB
**Version:** 1.0
Check comprehensive platform health including ArgoCD apps, pods, services, certificates, and resources across the Kagenti platform
Code review and audit agent for pull requests and code quality
Run an MCP evaluation using mcpbr on SWE-bench or other datasets.
Generate and validate mcpbr configuration files for MCP server benchmarking.
Quick-start command to run SWE-bench Lite evaluation with sensible defaults.
Analyze MongoDB collection schemas, infer data types, detect inconsistencies, and recommend schema design improvements. Use when the user asks about database structure, data modeling, schema validation, or wants to understand their MongoDB collections.
Reference guide for MongoDB performance patterns: index strategies (ESR rule, compound, partial, TTL), explain plan interpretation, and performance checklists. Use as background knowledge when advising on indexing or performance. For hands-on optimization of a specific slow query, trigger the query-advisor agent instead.
Monitor use when deploying monitoring stacks including Prometheus, Grafana, and Datadog. Trigger with phrases like "deploy monitoring stack", "setup prometheus", "configure grafana", or "install datadog agent". Generates production-ready configurations with metric collection, visualization dashboards, and alerting rules.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
AWS Prescriptive Guidance for best practices and architectural patterns. Use for AWS architecture recommendations, SageMaker AI endpoints guidance, deployment patterns, and AWS solution architectures.
Logging, error messages, and debugging patterns for React. Use when adding logging, designing error messages, debugging production issues, or improving code observability. Works for both React web and React Native.
Set up common Claude Code hooks - auto-formatting after edits, blocking dangerous commands, and notifications. Interactive setup for your project.
This skill should be used when the user asks to "write a post", "check my voice", "look up contact", "prepare for meeting", "weekly review", "track goals", or mentions personal brand, content creation, network management, or voice consistency.
A two-phase repair skill that analyzes errors and suggests fixes before executing repairs. Phase one: user describes error, agent analyzes and proposes solution. Phase two: upon approval, executes the repair action.