debugging
Standardized debugging and diagnostic guidelines for AI coding agents.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
351 skills found
Standardized debugging and diagnostic guidelines for AI coding agents.
Query the Pollinations text API with web-search enabled models like Gemini and Perplexity for grounded, real-time research.
Intelligently migrate existing brownfield projects to the AgenticDev structure using AI-powered analysis to reorganize documentation, generate rich frontmatter, and preserve git history.
Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.
Rigorous research skill that enforces source verification via WebFetch and content analysis to prevent hallucinated citations.
Apply reality-first coding standards: intentional naming, focused functions, guard clauses, and deterministic side effects, with no speculative features.
Create and edit Obsidian Bases (.base files) with database-like views, complex filters, custom formulas, and data summaries.
Create, alter, and validate Snowflake semantic views via the CLI. Automate the generation, documentation, and testing of semantic layer definitions to ensure model accuracy and star schema compliance.
Skill for managing MCP-based research, documentation lookups, and coordination between external search tools and plugin-backed memory systems.
Implements frontend forms and actions in Kirby CMS, including contact forms, file uploads, email handling, and page creation from the frontend.
Advanced QE reporting, quality dashboards, and predictive analytics for test metrics, code coverage, and deployment readiness to drive data-informed quality decisions.
Interface design guidance for utilitarian apps, focusing on dashboards, admin panels, and data-heavy UIs using a component-library-first approach.