Agent Skills Hub

debugging-strategies

Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.

server-components

Guidance on React Server Components (RSC) in Next.js, covering server/client component boundaries, data fetching, and composition patterns.

shift-right-testing

Production-grade testing strategy implementing feature flags, canary releases, synthetic monitoring, and chaos engineering for continuous reliability in live environments.

firecrawl-scraper

Advanced web scraping using Firecrawl API for deep content extraction, page interaction, screenshots, and PDF parsing.

iterate

Autonomous improvement loop for codebase optimization. Automatically modifies, measures, and iterates on code based on a specific goal and mechanical metric.

agent-database

PostgreSQL schema and migration expert for Diddit. Manages idempotent SQL files, tables, indexes, and constraints following strict camelCase conventions and transactional safety.

comps

Perform comprehensive trading comparables analysis using peer multiples, operational KPIs, and valuation modeling to assess company relative value.

scientific-writing

Draft and format scientific manuscripts using IMRAD structure, major citation styles (APA, AMA, Vancouver), and standardized reporting guidelines (CONSORT, STROBE, PRISMA).

Project Context Analyzer

Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.

Documenting Code

Synchronize project documentation with code. Maintains feature specs, API contracts, and READMEs using init-project standards to ensure traceability and completeness.

text-to-sql

Convert natural language queries to safe, optimized SQL. Automates database interactions with schema awareness and parameterized query generation.

matlab-live-script

Generate professional MATLAB plain text Live Scripts (.m files) with rich text documentation, mathematical equations, and visualization code following specific formatting standards.