আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
Use this whenever a user wants to add a new feature or explitly states to research a feature/API or building a plan for a new feature. It itnerviews the user for feature details (if not provided), research the best API/service for their needs, confirm choice, then gather all implementation notes for their request and save them as a .claude/plans file.
Create and manage Lola modules for multi-assistant AI context distribution. Use when building portable AI skills with multi-assistant support (Claude Code, Cursor, Gemini CLI). This skill is triggered when users say "create a lola module", "build a lola skill", "write a module.yml", "add slash commands to lola", or "distribute skills to multiple assistants".
The ultimate unified development skill combining 25+ programming languages, 9+ BaaS providers, 6+ development functions, and 15+ security capabilities with AI orchestration, Context7 integration, enterprise compliance, and end-to-end project automation
Spawn and control external coding agents (Claude Code, Codex, OpenCode, Pi) for delegating tasks. Use when (1) user asks to run another coding agent, (2) delegating subtasks to a different AI tool, (3) running multiple agents in parallel on separate issues, (4) spawning an agent in an isolated environment or worktree, (5) user mentions "codex", "opencode", "pi agent", or running "another claude".
Clear description of what this skill does and when Claude should use it. Include trigger keywords users might mention.
Use when writing or refactoring Python code for LangGraph v1.x + LangChain v1: Graph API + Functional API import paths, checkpoint/store usage, and migrations off deprecated prebuilts (create_react_agent -> langchain.agents.create_agent).
TOON Format Specialist - YAML-based token-efficient agent/workflow definitions inspired by BMAD Method patterns
Sync AI coding sessions from 14 tools (Claude Code, Codex, Cursor, Aider, Cline, Gemini CLI, Continue, Copilot, Roo Code, Windsurf, Zed AI, Amp, OpenCode, OpenRouter) to Obsidian vault as markdown notes. Use when user wants to backup, export, or sync their AI chat sessions to Obsidian, set up automatic syncing, check sync status, or troubleshoot sync issues. Handles secret redaction automatically. Cross-platform (macOS, Linux, Windows).
Comprehensive FastAPI development skill for building APIs from hello world to production-ready applications. Use when building REST APIs, microservices, ML/AI APIs, or full-stack applications with FastAPI. Covers project scaffolding, database integration (PostgreSQL, MySQL, MongoDB, SQLite), testing, Docker deployment, background tasks, file uploads, and production best practices.
Routes medical education grounding requests through atomic primitive composition. Four primitives (Σ Source, Τ Textbook, Δ Dialectical, Ρ Response) combine via operators (∘ ⊗ * |) for SAQ/VIVA/Academic response generation. Integrates: limitless, research, pieces, pdf-search, pdf-brain CLIs.
Apply modern AI/LLM development best practices: staying current on models, prompt/context engineering, architecture patterns, stack decisions, evaluation, and production deployment. Use when building AI features, selecting models, writing prompts, reviewing LLM code, or discussing AI architecture.
Amazon Bedrock Runtime API for model inference including Claude, Nova, Titan, and third-party models. Covers invoke-model, converse API, streaming responses, token counting, async invocation, and guardrails. Use when invoking foundation models, building conversational AI, streaming model responses, optimizing token usage, or implementing runtime guardrails.
Comprehensive Amazon Bedrock Guardrails implementation for AI safety with 6 safeguard policies (content filters, PII redaction, topic denial, word filters, contextual grounding, automated reasoning). Use when implementing content moderation, detecting prompt attacks, preventing hallucinations, protecting sensitive data, enforcing compliance policies, or securing generative AI applications with mathematical verification.
Templates and patterns for common ML training scenarios including text classification, text generation, fine-tuning, and PEFT/LoRA. Provides ready-to-use training configurations, dataset preparation scripts, and complete training pipelines. Use when building ML training pipelines, fine-tuning models, implementing classification or generation tasks, setting up PEFT/LoRA training, or when user mentions model training, fine-tuning, classification, generation, or parameter-efficient tuning.
Deploying fine-tuned models for production inference using native kernel optimization, vLLM, or SGLang. Triggers: inference, serving, vllm, sglang, for_inference, model merging, openai api.
LangGraph development for stateful multi-agent applications, cyclic workflows, conditional routing, human-in-the-loop patterns, and persistent state management. Use for complex AI orchestration, agent coordination, and production-grade agentic systems.
Comprehensive Claude Code conversation analysis skill for deep-diving into CC session logs. Use when analyzing exported Claude Code conversations to understand: project patterns, error rates, command failures, security risks, session duration, tool usage, and workflow efficiency. Triggers: "analyze conversation", "CC analysis", "conversation analysis", "session review", "Claude Code logs", "analyze my sessions", "review CC usage", "conversation insights", "what went wrong in my session", "session forensics", "CC forensics"
PM workflow orchestrator. Analyzes user requests and automatically runs the optimal agent chain.
Expert in managing the "Memory" of AI systems. Specializes in Vector Databases (RAG), Short/Long-term memory architectures, and Context Window optimization. Use when designing AI memory systems, optimizing context usage, or implementing conversation history management.
