Explore our collection of Agent Skills to enhance your AI workflow.
Conducts deep-dive performance analysis to identify code bottlenecks, memory leaks, and database inefficiencies.
Breaks down complex software features into structured, context-efficient implementation phases optimized for AI sub-agent execution.
Streamlines the creation of high-quality Jira Requests for Enhancement (RFEs) with standardized business justification and technical mapping.
Implements a defense-in-depth, fake-driven testing strategy for Python applications to improve test speed and reliability.
Automates the identification, clustering, and prioritization of search keywords based on intent and business impact.
Analyzes OpenShift installation failures in Prow CI jobs by automatically downloading and examining installer logs, bundles, and reports.
Automatically configures Claude Code security permissions by detecting project technologies and blocking access to sensitive files and build artifacts.
Standardizes the creation, testing, and scaling of social media creative assets to combat ad fatigue and optimize campaign performance.
Recursively discovers Jira issues and extracts all associated GitHub Pull Request links for comprehensive tracking and documentation.
Guides the creation of high-level Jira features by structuring market problems, strategic value, and measurable success criteria.
Fetches OpenShift release timelines, GA dates, and development metadata from the Sippy API.
Creates and manages Claude Code Skills according to Anthropic's best practices for structure, activation, and maintenance.
Interacts with web pages by remote controlling Chrome or Chromium browsers using the Chrome DevTools Protocol.
Debugs and fixes Playwright end-to-end tests for browser extensions while minimizing flakiness in dynamic environments.
Builds reliable, event-driven background jobs and durable serverless workflows without managing complex infrastructure or queues.
Manages Jira tickets, backlogs, and issue lifecycles directly through natural language commands within Claude.
Guides users through the automated setup, project detection, and configuration of the Agentic Loop autonomous coding toolkit.
Performs comprehensive automated reviews of High-Level Design notes against architectural standards, ADRs, and requirements.
Generates distinctive, production-grade frontend interfaces with high design quality and unique creative character.
Exports and lists Page Designer content from Salesforce B2C Commerce libraries using the B2C CLI.
Conducts comprehensive code reviews focusing on security vulnerabilities, performance bottlenecks, and architectural best practices.
Automates the synchronization and translation of multilingual UI strings across multiple locales using next-intl patterns.
Automates the end-to-end GitHub pull request process including branch management, rebasing, and PR creation.
Optimizes data retrieval in Salesforce B2C Commerce using index-backed search APIs and performance-first querying patterns.
Streamlines Salesforce B2C Commerce development by generating standardized cartridges, controllers, hooks, and custom APIs from templates.
Streamlines the creation of high-quality unit and integration tests for Litestar-Vite integrations using pytest and Vitest.
Analyzes Claude Code interaction history and Git data through SQL queries to reveal developer productivity patterns.
Empowers Claude with semantic code navigation and IntelliSense-like capabilities using the Language Server Protocol.
Transitions GitHub milestones from planning to active by bulk-updating issue labels and project board statuses.
Guides product positioning strategy using the Obviously Awesome framework to define differentiation and market categories.
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