Навыки: Данные

Create, use, and manage Agent Skills for Claude. Use when working with Skills, creating custom capabilities, or understa...

Intelligent financial management skill for Claude Code that provides comprehensive PocketSmith API integration with AI-p...

Guide creation of focused single-purpose agents following the One Agent One Prompt One Purpose principle. Use when desig...

Expert SQL developer specializing in complex query optimization, database design, and performance tuning across PostgreS...

Designs multi-agent systems with coordinated agent swarms, task distribution, inter-agent communication, and emergent co...

Create tailored resume from job + source resume. Orchestrates the rewriting of bullet points to emphasize relevant exper...

Create or modify an OpenAI Agents SDK tool with Zod params, caching, metrics, and agent registration. Use when adding to...

Reference for configuring tool permissions when launching Claude Code agents. Use when setting up --allowedTools flags,...

Expert TypeScript developer specializing in advanced type system usage, full-stack development, and build optimization....

Web Scraper IA — Expert en extraction web (Scrapy, BeautifulSoup, Playwright, anti-bot, proxy rotation, data extraction)

Complete workflow for building, implementing, and testing goal-driven agents. Orchestrates building-agents-* and testing...

Build multi-agent AI workflows with orchestration, tool use, and state management

AI agent workflow patterns including ReAct agents, multi-agent systems, loop control, tool orchestration, and autonomous...

Guide plan → instrument → execute → validate with explicit checkpoints and questions. Use for ambiguous tasks or when en...

Build CLI tools using Go with Cobra and Viper. Use for implementing agentctl commands, interactive prompts, configuratio...

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hyb...

AgentDB Persistent Memory Patterns operates on 3 fundamental principles:

AgentDB Reinforcement Learning Training operates on 3 fundamental principles:

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Persistent state management using AgentDB (DuckDB) for workflow analytics and checkpoints. Provides read-only analytics...

AgentDB Vector Search Optimization operates on 3 fundamental principles:

Use this skill in the scenario of intelligent agent application development.

Asistente especializado en investigación académica, redacción científica, ACD, metodología cualitativa y análisis de dat...

Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages mult...

Enforces high-level architectural thinking, separation of concerns, and scalability checks before coding.

Semantic diffusion model for code. Turns generation into iterative denoising using four distinct roles (Orchestrator, Ge...

Transition from a hands-on "bricklayer" to a high-level "architect" by managing a fleet of autonomous AI agents. Use thi...

Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique...

Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordinat...

Dependency management guidelines for Jarvy - crate selection criteria, feature flag best practices, version management,...

Performance optimization guidelines for Rust CLI tools. Covers efficient command execution, parallel processing, lazy in...

Testing guidelines for Jarvy CLI - unit testing patterns, integration tests with assert_cmd, test environment variables,...

Track and measure agentic coding KPIs for ZTE progression. Use when measuring workflow effectiveness, tracking Size/Atte...

Provides the "how-to" for workflow / task execution orchestration. Defines methods for planning multi-phase task/workflo...

Build functional software prototypes and MVPs without deep technical skills by using AI agents as "developers in your po...

Gemini 3 Flash Agentic Vision - The Sandwich Architecture for pixel-perfect UI generation. Phase 1: SURVEYOR measures la...

Transition from static LLM chats to autonomous agents that execute multi-step tasks. Use this when you need to automate...

エージェントワークフローの設計・レビュー・改善ガイド。SSOT, SRP, Fail Fast, Iterative Refinement 等の設計原則に基づき、ワークフローを構築・検証。Prompt Chaining, Paralleli...

Agentica server + Claude proxy setup - architecture, startup sequence, debugging

Spawn Agentica multi-agent patterns

Spawn Agentica multi-agent patterns

Agent Lightning를 사용하여 AI 에이전트를 자동으로 최적화하는 방법을 제공합니다.

Persistent cross-session memory for AI coding agents. Use when working across multiple sessions, recalling past context,...

Real-time observability dashboard for multi-agent Claude Code sessions. Visualize agent interactions, tool usage, and s...

Assess recurrence risk for agent behavior using local Codex/Claude Code transcripts and recommend evidence-backed durabl...

Patterns and architectures for building AI agents and workflows with LLMs. Use when designing systems that involve tool...

Branch skill for building and improving agents. Use when creating new agents, adapting marketplace agents, validating ag...

This skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up C...