developer-growth-analysis
Analyzes Claude Code chat history to identify coding patterns and skill gaps, curates personalized learning resources from HackerNews, and sends progress reports to Slack.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
496 skills found
Analyzes Claude Code chat history to identify coding patterns and skill gaps, curates personalized learning resources from HackerNews, and sends progress reports to Slack.
Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.
DevOps and platform engineering patterns: Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, and cloud-native ops.
Fetch real-time financial signals, transmission-chain reasoning, and market confidence metrics directly from the DeepEar Lite platform.
Perform rigorous code reviews for FastMCP projects, focusing on API design, dependency management, and codebase consistency.
Multi-perspective AI consultation for technical architecture, complex refactoring, and structured debugging.
Expert database design and access patterns: schema architecture, indexing strategies, query optimization, repository patterns, and transaction management for SQL and NoSQL databases.
Validate n8n expression syntax, perform context-aware testing, detect common pitfalls, and optimize data transformations within your workflows.
Expert code review agent that performs systematic audits of git changes for SOLID violations, security vulnerabilities, performance regressions, and architectural smells.
Handles large-scale tasks by automatically breaking them down into manageable, recursive sub-tasks to overcome context window limits and improve reasoning accuracy on large codebases and document sets.
Detect and resolve TypeScript/JavaScript circular import dependencies. Solves runtime errors like 'Cannot access X before initialization' and 'undefined' imports caused by module cycle initialization order.
Systematic methodology for reproducing published academic papers using provided data, including sample selection, statistical verification, and automated reporting.