Skill UI

Analyzes application logs to spot slow requests, recurring errors, and resource warnings, helping troubleshoot performance issues and inform structured logging or monitoring improvements.

Analyzes application logs to spot slow requests, recurring errors, and resource warnings, helping troubleshoot performance issues and inform structured logging or monitoring improvements.

Detect, analyze, and resolve production database deadlocks via the database-deadlock-detector plugin, which runs `/deadlock` to monitor lock contention, report transaction patterns, and suggest fixes for recurring issues.

Personalized reports that analyze recent Claude Code chats to surface recurring challenges, highlight learning gaps, curate HackerNews resources, and deliver actionable development insights directly to your Slack DMs for targeted growth.

A comprehensive guide to integrating PayPal into applications, covering all aspects of the payment lifecycle. This skill covers client-side implementations using JavaScript SDK for Express Checkout, server-side API interactions (REST API) for order creation and capture, handling recurring billing via Subscriptions, managing asynchronous updates through IPN/Webhooks, and processing refunds and payouts. Ideal for building robust e-commerce payment gateways.

Master Stripe payment processing integration for robust, PCI-compliant payment flows. This skill covers all aspects of modern billing, including one-time charges, recurring subscriptions, handling webhooks, and processing refunds. Ideal for building secure, scalable e-commerce and SaaS billing systems in web or mobile applications.

This guide outlines a systematic process for transforming any recurring technical pattern, complex debugging solution, or workflow into a standalone, portable skill. It details the multi-step extraction workflow, including pattern identification, structured documentation generation (SKILL.md), and quality control checks to ensure the skill can be reused across different projects.

This skill manages and schedules recurring, autonomous experiments. It allows users to set an experiment to run continuously at predefined intervals (e.g., every 10 minutes, daily, or weekly) using cron scheduling logic. It handles the full lifecycle, including execution, result review, strategy refinement, and state persistence.

This skill systematically audits a given project by analyzing its historical memory, rollout summaries, and local skill definitions. It identifies repeated complex workflows, recurring operational patterns, or areas where existing skills are stale. The audit process guides the user to recommend the highest-value skills to either add (if a new pattern emerges) or update (if current skills are outdated or incomplete), ensuring the AI agent operates with the most accurate and context-specific knowledge base for optimal project execution.

This skill provides a structured approach to debugging software issues by prioritizing root cause analysis over quick fixes. It guides users through four phases: investigation, pattern analysis, hypothesis verification, and implementation. Essential for resolving test failures, production bugs, and performance issues efficiently, preventing recurring problems and architectural debt.

Use the Parallel CLI for web search, URL/PDF extraction, deep research, data enrichment, entity discovery, and recurring web monitoring. Best when requests need current web evidence, academic sources, or change tracking.

Provides comprehensive guidance on scheduling AI agent runs, covering external systems like cron and systemd, and built-in schedulers (e.g., Hermes). It details best practices for setting up recurring jobs, implementing heartbeat patterns, and avoiding common pitfalls like tight timers or state loss, ensuring reliable, scheduled automation.