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Data & AI

Master Retrieval-Augmented Generation (RAG) to build LLM applications that provide grounded responses using external knowledge sources. Implement Q&A systems, reduce hallucinations, and integrate LLMs with knowledge bases.

Data & AI

Executes SQL queries against a Supabase PostgreSQL database for SELECT, INSERT, UPDATE, and DELETE operations. It connects using the DATABASE_URL from .env and accepts raw SQL or natural language descriptions of queries. Useful for interacting with tables like competition, team, race, admin, flight, halfflight, and feedback.

Development

This skill automates safely merging a feature branch into its configured base branch by committing changes, rebasing onto the base branch (handling conflicts), and merging with a notification. It prevents accidental merges into main/master and avoids force pushes, making branch integration safer for developers.

Development

Objective evaluation procedure to verify deliverables meet requirements and quality standards. Includes a checklist covering accuracy, maintainability, security, and conformance to project rules. Outputs 'Approved' or 'Needs Changes' with specific constructive feedback.

Development

Analyzes project tech stack and recommends optimal rule configuration. Detects frameworks from config files like package.json, requirements.txt, go.mod. Generates custom manifest.yaml profiles for your specific stack.

Development

This skill compiles the OrderParserProcessor C++ backend using CMake. Use it when you need to build, rebuild, or address compilation or linking errors. It supports standard builds, test builds, and parallel compilation.

Development

Detects the active skill from conversation context, analyzes errors or outdated instructions in its SKILL.md file, proposes specific fixes with before/after diffs, and applies changes after user approval with optional git commit. Helps maintain skill definitions when they contain wrong API references or incorrect directives.

Development

Provides strategic guidance for planning automation projects, evaluating tech stacks (Shopify, HubSpot, etc.), and deciding between n8n and custom code. Helps users design production-ready automation systems that are reliable, maintainable, and aligned with business needs.

Productivity

Displays real-time efficiency report with token savings, cache performance, and session metrics. Makes Navigator's value quantifiable and shareable with baseline comparisons.

Development

Monitors and reports on Ralph Wiggum loop progress. Provides real-time status, iteration summaries, and progress tracking via Archon state. Use to check on running or completed loops, view iteration history, and diagnose issues.

Data & AI

Provides patterns for organizing dbt models into staging, intermediate, and marts layers, along with incremental strategies and testing. Helps structure scalable dbt projects with clear separation of concerns.

Data & AI

This skill scans news and upcoming events to identify stock catalysts such as earnings, product launches, or regulatory changes. It helps traders anticipate price movements by categorizing each catalyst's potential impact.