Skill UI

A comprehensive toolkit for Product Owners covering the entire agile product lifecycle. It guides the generation of INVEST-compliant user stories, defining detailed acceptance criteria using Given-When-Then, structuring sprint plans, estimating story points, and systematically decomposing large epics into manageable, deliverable tasks. It supports structured backlog management and successful sprint execution following Scrum principles.

This skill provides comprehensive methods for building event-driven integrations with Apollo.io. Since Apollo lacks native webhooks, it covers advanced techniques like polling the Contacts API, tracking contact stage changes, monitoring sequence engagement, and automating follow-up tasks. Ideal for achieving real-time CRM data synchronization and workflow automation.

This skill provides comprehensive methods for building event-driven integrations with Apollo.io. Since Apollo lacks native webhooks, it covers advanced techniques like polling the Contacts API, tracking contact stage changes, monitoring sequence engagement, and automating follow-up tasks. Ideal for achieving real-time CRM data synchronization and workflow automation.

This meta-skill is designed to guide and execute structured developmental workflows, enabling continuous skill improvement and knowledge transfer. It is applicable when a task requires following a defined developmental process. Users must ensure all necessary inputs, permissions, and success criteria are provided, and must treat the output as a guide, supplementing professional validation.

This comprehensive guide provides a structured process for safely upgrading the `exa-js` SDK. It covers checking current vs. latest versions, handling potential breaking changes, and validating API compatibility (e.g., search, getContents, findSimilar). Follow these steps to ensure a smooth and reliable migration across different SDK versions.

This guide details the setup and management of the Juicebox AI platform across multiple isolated environments: Development, Staging, and Production. It ensures workspace isolation, controls data access, and maintains data integrity by differentiating sample datasets (Dev), full datasets with restricted exports (Staging), and full-featured production environments. Follow this workflow to safely deploy and test analyses from development to live production.

Automate Linkup operations through Composio's Linkup toolkit by orchestrating Rube MCP calls (search tools, manage connections, execute multi-tool workflows) while strictly following schema discovery, connection validation, memory handling, and pagination guidance.

This comprehensive guide teaches the best practices for writing effective, blameless postmortem reports following technical incidents. It provides a structured approach to documenting timelines, conducting root cause analysis (RCA), identifying systemic failures, and creating actionable follow-up items. Mastering this skill is crucial for fostering organizational learning and preventing future service disruptions.

Guides teams through the security incident response lifecycle by classifying attacks, generating containment/remediation playbooks, directing evidence collection, and coordinating post-incident follow-up to minimize damage.

Provides automated guidance for setting up responsive breakpoint analysis, follows frontend best practices, validates configurations, and supports React/Vue/CSS accessibility and performance scenarios.

Provides systematic steps for using Shodan’s web, CLI, and API tools to enumerate exposed hosts, services, and vulnerabilities during penetration tests, with guidance on filtering, scanning, and exporting data for follow-up analysis.

A comprehensive toolkit for automating and testing local web applications using Python and Playwright. It supports complex dynamic interactions, managing server lifecycles, identifying stable selectors, capturing visual evidence (screenshots), and debugging UI behavior. The guides follow a robust 'Reconnaissance-Then-Action' pattern for reliable end-to-end testing.