Search Skills

Automates creation and posting of ASCII art voting status diagrams to GitHub issues and Discord for real-time voting updates.

Diagnoses AI model errors in Pollinations services by analyzing logs, identifying error patterns, and pinpointing affected users.

Deploys and manages text/image services on AWS EC2 and Cloudflare Workers using SSH, sops, and wrangler.

Automates creation of GitHub issues adhering to Pollinations team conventions for work tracking and feature planning.

Analyzes GitHub profiles to evaluate MLOps and engineering candidates, generating hiring assessments for CONTRIBUTORS.md updates.

Analyzes revenue, pack purchases, and tier spending patterns by querying Polar for payment history and Tinybird for usage data.

Manages user tier evaluations, balance checks, developer upgrades, and batch processing for Pollinations user accounts.

Automates the review and processing of app submissions for the Pollinations showcase, including issue parsing, validation, PR creation, and user correction handling.

Generates and publishes structured changelog announcements for features, bug fixes, and improvements, ensuring compliance with project documentation standards.

Automates API reference documentation updates by fetching OpenAPI specs and regenerating Docusaurus docs.

Adds announcement cards to Agenta's sidebar banner system for changelogs, features, updates, and promotions, supporting simple and custom banners.

Provides a syntax guide for writing prompts in the Latitude platform, covering variables, conditionals, loops, chains, tools, and agents for effective LLM prompt engineering.

Provides best practices, patterns, and anti-patterns for designing goal-driven AI agents with hybrid workflows and pause/resume architecture.

Provides core concepts for building goal-driven AI agents, including architecture, node types, tool discovery, and workflow overview.

Provides goal-based testing for AI agents to verify goal achievement, debug failures, and iteratively improve agent performance.

Step-by-step guide for constructing goal-driven AI agents, including package setup, goal definition, node addition, and agent class finalization.

Provides end-to-end workflow guidance for creating, implementing, and testing goal-driven AI agents, orchestrating related skills for new projects.

Guides creation of new setting items and configuration options within Project Graph projects for development workflows.

Analyzes GitHub PR review comments to extract and structure writing feedback, comparing original text with suggested improvements for documentation refinement.

Analyzes fast-agent session and history files to diagnose unexpected terminations, tool loops, and conversation flow issues via metadata and message structure.

Automates GitHub pull request reviews to identify bugs and assess code quality, ensuring maintainable and reliable code.

Guides users through a 3-step workflow (requirements, layout, visualization) for designing Vizro dashboards, ensuring effective visual data representation before implementation.

Builds interactive dashboards and simple applications from design specifications, handling implementation and testing phases.

Intelligently selects optimal chart type from 26 options and generates chart image from data specifications using Python.