আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
Generate a new sub-agent configuration file from a user's description. Use when user says "let's create a new agent", "let's create a new subagent", "create a subagent for...", or asks to build/make a new agent/sub-agent.
Canonical Claude Code authoring kit covering Skills, sub-agents, plugins, slash commands, hooks, memory, settings, sandboxing, headless mode, and advanced agent patterns. Use when creating Claude Code extensions or configuring Claude Code features.
Toolkit for performing deep research on complex topics using multiple AI research providers (OpenAI, Falcon, Perplexity, Consensus). Emphasizes explicit speed vs depth trade-offs.
Track and optimize agent specialization during methodology development. Use when agent specialization emerges (generic agents show >5x performance gap), multi-experiment comparison needed, or methodology transferability analysis required. Captures agent set evolution (Aₙ tracking), meta-agent evolution (Mₙ tracking), specialization decisions (when/why to create specialized agents), and reusability assessment (universal vs domain-specific vs task-specific). Enables systematic cross-experiment learning and optimized M₀ evolution. 2-3 hours overhead per experiment.
Achieve 3-4 iteration methodology convergence (vs standard 5-7) when clear baseline metrics exist, domain scope is focused, and direct validation is possible. Use when you have V_meta baseline ≥0.40, quantifiable success criteria, retrospective validation data, and generic agents are sufficient. Enables 40-60% time reduction (10-15 hours vs 20-30 hours) without sacrificing quality. Prediction model helps estimate iteration count during experiment planning. Validated in error recovery (3 iterations, 10 hours, V_instance=0.83, V_meta=0.85).
Firebase Firestore specialist covering NoSQL patterns, real-time sync, offline caching, and Security Rules. Use when building mobile-first apps with offline support, implementing real-time listeners, or configuring Firestore security.
Supabase specialist covering PostgreSQL 16, pgvector, RLS, real-time subscriptions, and Edge Functions. Use when building full-stack apps with Supabase backend.
Scala 3.4+ development specialist covering Akka, Cats Effect, ZIO, and Spark patterns. Use when building distributed systems, big data pipelines, or functional programming applications.
Enterprise context and session management with token budget optimization and state persistence
Java 21 LTS development specialist covering Spring Boot 3.3, virtual threads, pattern matching, and enterprise patterns. Use when building enterprise applications, microservices, or Spring projects.
Go 1.23+ development specialist covering Fiber, Gin, GORM, and concurrent programming patterns. Use when building high-performance microservices, CLI tools, or cloud-native applications.
Strategic thinking framework integrating First Principles Analysis, Stanford Design Thinking, and MIT Systems Engineering for deeper problem-solving and decision-making
Enterprise code quality orchestrator with TRUST 5 validation, proactive analysis, and automated best practices enforcement
Use when facing hard architectural decisions, multiple valid approaches exist, need diverse perspectives before committing, or want M-of-N synthesis on complex problems
Problem and solution validation methodologies, assumption testing, and MVP validation experiments
Systematic API design methodology with 6 validated patterns covering parameter categorization, safe refactoring, audit-first approach, automated validation, quality gates, and example-driven documentation. Use when designing new APIs, improving API consistency, implementing breaking change policies, or building API quality enforcement. Provides deterministic decision trees (5-tier parameter system), validation tool architecture, pre-commit hook patterns. Validated with 82.5% cross-domain transferability, 37.5% efficiency gains through audit-first refactoring.
Convex real-time backend specialist covering TypeScript-first reactive patterns, optimistic updates, server functions, and file storage. Use when building real-time collaborative apps, implementing reactive queries, or integrating with Clerk/Auth0.
Railway container deployment specialist covering Docker, multi-service architectures, persistent volumes, and auto-scaling. Use when deploying containerized full-stack applications, configuring multi-region deployments, or setting up persistent storage.
Enterprise template management with code boilerplates, feedback templates, and project optimization workflows
Use when rough ideas need design before code, requirements are fuzzy, multiple approaches exist, or you need to explore options before implementation
