
Developed and integrated advanced Twitter data tooling across multiple repositories, including davila7/claude-code-templates and PipedreamHQ/pipedream, focusing on scalable social data workflows and automation. Delivered features such as tweet search, user lookup, and trend detection by leveraging API development, asynchronous programming, and data extraction techniques in JavaScript and Python. Implemented production-grade scraping skills, read-only toolkits, and orchestration-ready integrations, enabling seamless data access and experimentation. Enhanced documentation, error handling, and version control practices to improve reliability and adoption. Addressed UI accuracy and documentation bugs, while collaborating across teams to ensure maintainable, adoption-ready solutions for social media data integration.
June 2026 highlights: Delivered core Xquik Twitter data integration features and support for follower/media actions, established an X/Twitter Intelligence Analyst agent for proactive social listening, and expanded toolings with TweetClaw routing and API tooling examples. Strengthened documentation and governance across multiple repos to improve discoverability and reliability.
June 2026 highlights: Delivered core Xquik Twitter data integration features and support for follower/media actions, established an X/Twitter Intelligence Analyst agent for proactive social listening, and expanded toolings with TweetClaw routing and API tooling examples. Strengthened documentation and governance across multiple repos to improve discoverability and reliability.
May 2026 monthly summary focusing on feature-driven delivery and cross-repo integrations around Xquik-based Twitter data tooling. Highlights include production-grade scraping, read-only data access, and orchestration-ready integrations that accelerate data discovery, experimentation, and pipeline automation across five repositories. The work demonstrates strong collaboration, documentation, and adoption-ready patterns for data access and processing.
May 2026 monthly summary focusing on feature-driven delivery and cross-repo integrations around Xquik-based Twitter data tooling. Highlights include production-grade scraping, read-only data access, and orchestration-ready integrations that accelerate data discovery, experimentation, and pipeline automation across five repositories. The work demonstrates strong collaboration, documentation, and adoption-ready patterns for data access and processing.
For 2026-04, delivered MCP-based features and fixed UI accuracy issues, focusing on business value and reliability. The work centers on punkpeye/awesome-mcp-servers, enabling scalable social data workflows and accurate metric displays.
For 2026-04, delivered MCP-based features and fixed UI accuracy issues, focusing on business value and reliability. The work centers on punkpeye/awesome-mcp-servers, enabling scalable social data workflows and accurate metric displays.
February 2026: Delivered X (Twitter) Data Integration via the Xquik REST API within the Claude Code Templates project, enabling capabilities such as tweet search, user lookup, giveaway draws, account monitoring, trending topics, and follow checks. Implemented as part of the Xquik-powered data layer with MCP server and HMAC webhooks, leveraging a suite of 19 extraction tools.
February 2026: Delivered X (Twitter) Data Integration via the Xquik REST API within the Claude Code Templates project, enabling capabilities such as tweet search, user lookup, giveaway draws, account monitoring, trending topics, and follow checks. Implemented as part of the Xquik-powered data layer with MCP server and HMAC webhooks, leveraging a suite of 19 extraction tools.

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