Create or revise repository `AGENTS.md` files using a progressive-disclosure, dispatcher-style structure.
Score 70/100
Guide for using and supporting the AGENTS.md standard in VS Code. Use this when asked about AGENTS.md, custom instructions, or repo-level AI agent configuration.
Score 70/100
Keeps repo-local agent instructions consistent by proposing updates to AGENTS.md when a user corrects the coding agent or asks to change AGENTS.md, CLAUDE.md, .claude/CLAUDE.md,…
Score 70/100
Create or update root and nested AGENTS.md files that document scoped conventions, monorepo module maps, cross-domain workflows, and (optionally) per-module feature maps (feature…
Score 70/100
Create, optimize, update, and validate AGENTS.md files with maximum token efficiency. Use when the user asks to (1) create new AGENTS.md files for any repository, (2)…
Score 70/100
Capture learnings from the current session into the project-rules file (AGENTS.md, CLAUDE.md, or local override) so future sessions benefit.
Score 70/100
Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
Score 70/100
Use when editing agentsmd files, creating skills/agents/rules, or working in ai-assistant-instructions
Score 70/100
Bootstrap AgentV in the current workspace after plugin-manager install. Ensures CLI availability, runs workspace init, and verifies setup artifacts.
Score 70/100
Automate Agenty tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
Collapse multiple change sources into one caller-facing boolean so headless bootstraps know whether a downstream refresh is necessary.
Score 70/100
Aggregate pre-computed metrics (gauge, counter, delta types) using OPAL. Use when analyzing request counts, error rates, resource utilization, or any numeric metrics over time.
Score 70/100
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple sources.
Score 70/100
Aggregation Helper - Auto-activating skill for Data Analytics. Triggers on: aggregation helper, aggregation helper Part of the Data Analytics skill category.
Score 70/100
AGI-level autonomous controller — self-healing, self-optimizing, constitutionally governed by arifOS F1-F13
Score 70/100
Orchestrate multiple worker agents to implement groomed tasks. Use when multiple ready tasks need implementation, when you want autonomous multi-task execution, or when…
Score 70/100
生成面向敏捷开发团队的精炼设计文档。MVP导向，避免过度设计。使用场景：(1) 需要为新功能或系统模块生成设计文档 (2) 需要明确功能边界和交互流程 (3) 需要提供实现思路和关键方法 (4) 需要阐述技术难点和解决方案。该skill会先分析项目技术栈和现有组件，然后生成精炼、重点突出的设计文档。
Score 70/100
Master agile metrics with velocity, burn-down charts, cycle time, and team health indicators for data-driven improvement.
Score 70/100
Automate Agiled tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
Automate Agility CMS tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
Agno AI agent framework. Use for building multi-agent systems, AgentOS runtime, MCP server integration, and agentic AI development.
Score 70/100
Install, share, sync, and create AI agent skills across coding tools (Claude Code, Cursor, Codex, OpenCode, Copilot, Antigravity) using the agr CLI.
Score 70/100
Help users with agr/agrx CLI questions, troubleshooting, and best practices. Use when users ask about installing resources, syncing, local authoring, dependency management,…
Score 70/100
Use para implementar serviços de agregação que calculam os eixos de Performance e Potencial a partir de evidências.
Score 70/100
Expert in negotiating utility easements with farmers including farm operation impact assessment (crop production, livestock, equipment), compensation structure design (one-time…
Score 70/100
Permanently activates the .ah (Teleological Semantic Format) for any LLM. Required for all .ah skills.
Score 70/100
Comprehensive ahooks React hooks library specialist. Expert in all 76+ ahooks hooks including state management, effects, data fetching, performance optimization, DOM utilities,…
Score 70/100
Identifies keyword opportunities by comparing competitor rankings using Ahrefs' /v3/site-explorer/organic-keywords API endpoint.
Score 70/100
Build AI agents with tools, memory, and multi-step reasoning - ChatGPT, Claude, Gemini integration patterns
Score 70/100
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
Score 70/100
Step-by-step checklist and best practices for implementing new AI agent tools in the omer-akben portfolio.
Score 70/100
Step-by-step checklist and best practices for implementing new AI agent tools in the omer-akben portfolio.
Score 70/100
Эксперт по оркестрации AI агентов. Используй для multi-agent systems, agent coordination, task delegation и agent workflows.
Score 70/100
Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and…
Score 70/100
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
Score 70/100
Command-line tools that delegate analysis tasks to AI models. Includes image description, screenshot comparison, essay generation from text, and boolean condition evaluation.
Score 70/100
Эксперт по data annotation. Используй для ML labeling, annotation workflows и quality control.
Score 70/100
Generate images via Nano Banana with 129 curated prompts. Mandatory validation interview refines style/mood/colors (use --skip to bypass). 3 modes: search, creative, wild.
Score 70/100
Leveraging AI coding assistants and tools to boost development productivity, while maintaining oversight to ensure quality results.
Score 70/100
AI-powered issue operations via gh-models. TRIGGERS - issue summarization, auto-labeling, issue insights.
Score 70/100
Workflow automation skills using AI. Build chatbots, automate repetitive tasks, integrate LLMs into pipelines, design intent-based assistants.
Score 70/100
باك إند مدعوم بالذكاء الاصطناعي للحلول التلقائية. استخدم هذا الـ skill عند: تصنيف تلقائي للمستندات/التذاكر، استخراج بيانات ذكي، تحليل المشاعر، محرك توصيات، كشف الشذوذ، ملخصات…
Score 70/100
Designs AI-powered API features, LLM tool/function definitions, MCP server tool schemas, natural language to API conversion, and agentic API workflows.
Score 70/100
Advanced multi-agent reasoning system for complex questions requiring maximum accuracy. Uses adaptive technique selection, adversarial validation, multi-agent debate, and deep…
Score 70/100
Evaluate AI capability sourcing options across build, buy, fine-tune, and partner archetypes using a structured decision matrix.
Score 70/100
Use AI to merge individual page HTML files into a unified chapter document. Creates continuous document format for improved reading experience and semantic consistency.
Score 70/100
Full-featured AI chatbot with Next.js 15, Auth.js, Drizzle ORM, and multi-model support.
Score 70/100
Canonical Claude Code authoring kit covering Skills, sub-agents, plugins, slash commands, hooks, memory, settings, sandboxing, headless mode, and advanced agent patterns.
Score 70/100
Multi-turn conversational AI for intent extraction, clarification, and generation readiness detection.
Score 70/100
Design co-learning experiences using the Three Roles Framework (AI as Teacher/Student/Co-Worker). Use when teaching AI-driven development workflows, spec-first collaboration, or…
Score 70/100
Design co-learning experiences using the Three Roles Framework (AI as Teacher/Student/Co-Worker). Use when teaching AI-driven development workflows, spec-first collaboration, or…
Score 70/100
Prevent AI hallucination and ensure evidence-based responses when analyzing code or making suggestions.
Score 70/100
Use when collaborating with other AI assistants (Codex, Gemini, Aider, Cursor, OpenCode), delegating tasks, or requesting code review.
Score 70/100
AIコーディング支援ツールのコンテキストファイル（CLAUDE.md等）を最適化するスキル。 以下の状況で使用: (1) ユーザーが「CLAUDE.mdを改善して」「コンテキストファイルを最適化して」と依頼した時 (2) ユーザーが明示的に「/ai-context」を実行した時-optimizer (3) AI向けドキュメントの品質改善を求められた時
Score 70/100
Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict.
Score 70/100
Deep, interactive variant of ai-council with three user-in-the-loop checkpoints (clarify, surface assumptions, iterate). Same five advisors and anonymous peer review.
Score 70/100
Cross-verify Claude-generated plans and code using OpenAI Codex and Google Gemini CLI. Provides code review, plan validation, and comparative analysis.
Score 70/100
Fetches AI news from smol.ai RSS and generates structured markdown with intelligent summarization and categorization.
Score 70/100
Protecting personal and sensitive data throughout the machine learning lifecycle, from training to inference.
Score 70/100
Define a data strategy for AI products covering training data requirements, data quality, labeling strategy, feedback loops, and continuous retraining.
Score 70/100