Explore our collection of Agent Skills to enhance your AI workflow.
Executes and monitors DBT projects with intelligent error handling, performance analysis, and automated model retries.
Performs deep structural audits of knowledge systems to identify orphan files, broken links, and metadata schema violations.
Generates detailed metrics and health reports for digital gardens, knowledge graphs, and documentation repositories.
Automates the definition and configuration of dbt data quality rules using dbt-expectations and intelligent schema analysis.
Translates natural language queries into executable SQL within dbt environments to analyze data and aggregate statistics.
Streamlines dbt data modeling through automated architecture design, schema synchronization, and best-practice implementation.
Manipulates, creates, and analyzes Microsoft Word documents with professional-grade precision using tracked changes and XML-level editing.
Performs comprehensive database reverse engineering and metadata analysis to document data lineage and relationships.
Ensures App Store submission success by providing compliance checks, rejection prevention strategies, and Apple-approved implementation patterns.
Audits decision registers and individual decision notes to ensure structural integrity and high-quality logical reasoning.
Automates end-to-end browser testing, UI validation, and web interaction tasks using Playwright.
Enforces a disciplined workflow by requiring the identification and invocation of relevant skills before any task execution.
Orchestrates multi-phase knowledge workflows using isolated subagents to prevent context contamination and ensure high-fidelity output.
Generates professional business process diagrams, system workflows, and swimlane charts using Mermaid.js and Draw.io formats.
Analyzes and optimizes structural connections within markdown-based knowledge systems and documentation.
Validates document metadata, YAML frontmatter, and structural integrity against domain-specific templates and schemas.
Enforces a strict evidence-based workflow requiring command execution and output verification before any task is claimed as complete.
Automates the complete lifecycle of source processing from initial seeding and claim extraction to verification and archiving.
Synthesizes project signals to identify and recommend the single most valuable next coordination action for project management.
Enforces a strict Red-Green-Refactor workflow by requiring failing tests before any production code is implemented.
Manages Cloudflare infrastructure including Workers, KV storage, R2 buckets, and DNS records directly through Claude.
Automates the propagation of status updates, cross-links, and meta-state changes across project decision records to prevent documentation drift.
Enables natural language querying of dbt semantic layer metrics with context-aware filtering and automated data visualization.
Optimizes digital content for search engines, user engagement, and conversion performance across blogs, landing pages, and social media.
Enforces the Conventional Commits specification to ensure consistent, meaningful, and machine-readable git commit messages.
Query a multi-tier research knowledge graph for methodology guidance grounded in cognitive science and system theory.
Generates professional SAP-style UI prototype images directly from Markdown table definitions.
Facilitates high-quality code reviews by dispatching specialized subagents to analyze changes and catch issues before merging.
Identifies semantic relationships between notes and automatically updates Maps of Content (MOCs) to build a connected knowledge graph.
Automates the sequential execution of predefined operational procedures and multi-step commands directly within Claude Code.
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