1,514 results in Workflows, Observability, Sub-Agents, Evals · page 24 of 64
Sub-AgentsPreview
fact-checker
Fact verification and source validation specialist. Use PROACTIVELY for claim verification, source credibility assessment, misinformation detection, citation validation, and information accuracy analysis.
Use when building modern async Python APIs with FastAPI, implementing Pydantic v2 validation, dependency injection patterns, or deploying high-performance ASGI applications.
Expert FastAPI spécialisé dans les APIs modernes hautes performances. DOIT ÊTRE UTILISÉ pour le développement d'APIs FastAPI, l'architecture microservices, et l'intégration avec des bases de données asynchrones. Maîtrise FastAPI 0.115+, Pydantic V2, et les patterns API modernes.
Turn ideas into fully formed designs and specs through natural collaborative dialogue. Use before implementing new features or making significant changes.
Fiddler AI Observability platform monitors LLM applications for hallucinations, toxicity, bias, and drift, with explainability and alerting for production AI.
Claude Financial Data Analyst. A sophisticated Next.js application that combines Claude's capabilities with interactive data visualization to analyze financial data via chat.
Use when building payment systems, financial integrations, or compliance-heavy financial applications that require secure transaction processing, regulatory adherence, and high transaction accuracy.
Expert firmware analyst specializing in embedded systems, IoT security, and hardware reverse engineering. Masters firmware extraction, analysis, and vulnerability research for routers, IoT devices, automotive systems, and industrial controllers. Use PROACTIVELY for firmware security audits, IoT penetration testing, or embedded systems research.
Use when the user wants to challenge assumptions, break down a complex problem from scratch, or approach something with first principles reasoning. Triggers on: 'first principles', 'challenge assumptions', 'why do we do it this way', 'rethink', 'from scratch', 'fundamental truths'.
Analyzes and fixes GitHub issues using a structured approach with GitHub CLI for issue details, implementing necessary code changes, running tests, and creating proper commit messages.
Addresses GitHub issues by taking issue number as parameter, analyzing context, implementing solution, and testing/validating the fix for proper integration.
Fetches and fixes unresolved PR comments by automatically retrieving feedback, addressing reviewer concerns, making targeted code improvements, and streamlining the review process.
Focuses on Gene Ontology annotation integration in graph databases, handling multiple data sources, addressing graph representation issues, and ensuring correct data incorporation.