This skill should be used when analyzing, profiling, or optimizing Telegram bots built with Python/Telethon, especially for performance bottlenecks, rate limits, caching, API usage, or when the user asks for a full repo review or best practices.
PostgreSQL monitoring - metrics, alerting, observability
Patterns for optimizing database queries and preventing connection pool exhaustion. Use when writing batch operations, debugging slow queries, or reviewing code for performance.
Use PROACTIVELY when users ask about React project structure, Bulletproof React patterns, or need architecture guidance. Covers structure setup, codebase auditing, anti-pattern detection, and feature-based migration planning. Triggers on "bulletproof react", "React structure help", "organize React app", or "audit my architecture".
Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions.
⚡ PRIMARY TOOL for: 'what's the architecture', 'system design', 'how are layers organized', 'find design patterns', 'audit structure', 'map dependencies'. Uses claudemem v0.3.0 AST structural analysis with PageRank. GREP/FIND/GLOB ARE FORBIDDEN.
Query code architecture using README_AI.md index files. Use when user asks about project structure, where features are implemented, how modules work, or wants to understand codebase architecture. Triggered by questions like "what does this do", "where is X implemented", "how does module Y work".
Container debugging and troubleshooting techniques for production issues
Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.
Debug .NET/ABP and React applications with systematic root cause analysis. Use when: (1) investigating bugs or errors, (2) analyzing stack traces, (3) diagnosing N+1 queries, (4) fixing async deadlocks, (5) resolving React state issues.
Comprehensive distributed tracing with Jaeger, Zipkin, OpenTelemetry, correlation IDs, and span design.
Track architectural decisions and detect drift from ADRs (Architecture Decision Records). Calculate alignment score (0.00-1.00) showing code-to-design conformance. Auto-detect architectural violations and suggest refactoring. Integrate with Serena for architectural health monitoring. Use when: maintaining architectural integrity, reviewing large changes, documenting decisions, detecting drift, enforcing standards.
This skill should be used when the user asks to "analyze local-first patterns", "review offline support", "check sync implementation", "audit conflict resolution", "review optimistic updates", "check offline capabilities", or mentions local-first architecture, CRDTs, offline-first, sync patterns, or data synchronization.
⚡ PRIMARY TOOL for: 'why is X broken', 'find bug source', 'root cause analysis', 'trace error', 'debug issue', 'find where X fails'. Uses claudemem v0.3.0 AST with context command for call chain analysis. GREP/FIND/GLOB ARE FORBIDDEN.
This skill should be used when the user asks to "analyze error handling", "review exception handling", "check error patterns", "audit error recovery", "review logging", "check error boundaries", or mentions error handling patterns, exception management, graceful degradation, or error reporting.
Comprehensive brownfield architecture analysis for existing codebases. Discovers structure, identifies patterns, assesses quality, calculates production readiness, and provides actionable recommendations. Use when analyzing existing codebases to understand architecture, assess quality, or prepare for modernization.
FLEXIBLE skill orchestrating comprehensive analysis workflows. Adapts to analysis type (codebase, architecture, technical debt, complexity) and automatically invokes appropriate sub-skills (spec-analysis, project-indexing, confidence-check). Applies Shannon patterns (8D framework, waves, NO MOCKS) with Serena historical context. Produces quantitative, actionable results with structured outputs and MCP recommendations.
Production observability with structured logging, metrics collection, distributed tracing, and alerting
Use when optimizing performance, profiling bottlenecks, or architecting for scale
Knowledge and patterns for identifying and resolving performance issues.
⚡ PRIMARY TOOL for: 'what's the architecture', 'system design', 'how are layers organized', 'find design patterns', 'audit structure', 'map dependencies'. Uses claudemem v0.3.0 AST structural analysis with PageRank. GREP/FIND/GLOB ARE FORBIDDEN.
