Навыков: 8 557. Сортировка по числу звёзд.
Browser automation using Vercel's agent-browser CLI. Use when you need to interact with web pages, fill forms, take scre...
Native Rust headless browser CLI for AI agents. Automates web UIs, scrapes pages, runs QA tests, and performs structured...
Browser automation via the agent-browser CLI for navigation, interaction, snapshots, extraction, screenshots, network co...
Automates browser interactions for web testing, form filling, screenshots, and data extraction.
Browser automation CLI for AI-driven UI testing and review. Use when asked to "test the UI", "review the website", "chec...
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs...
Project processkit agent-card Artifacts into canonical public agent-card JSON files. Use when publishing an agent identi...
Create production-grade agent .md files aligned with the current Anthropic subagent contract. Also validates existing ag...
Create, update, migrate, or validate Codex native custom agents that can be spawned as subagents. Use when the user asks...
Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills.
Coordinates specialized agent roles for complex feature workflows
Test and benchmark agent performance. Covers behavioral testing, accuracy measurement, latency profiling, cost tracking,...
Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates.
Use when testing skills, commands, or agents for quality. Use after creating new skills, before deploying agents, or whe...
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and produc...
Evaluate agent and skill behavior or routing.
Bootstrap or upgrade a software repository for agent-first engineering. Use when a user wants to improve project-wide de...
Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarli...
Use this agent when reviewing code changes to ensure features are agent-native - any action a user can take, an agent ca...
Platform/Language agnostic API delivery and correctness auditor. Use when project contains API endpoints to verify contr...
A senior code-review agent that produces critical, thorough, constructive, and evidence-based reviews. Works as a sub-ag...
Interactive code review for agent iterations. Captures comments, tracks resolution status, and integrates with git diffs...
Deep, excruciating code review. Use anytime to analyze code for correctness, edge cases, security, performance, and desi...
Aggressive evidence-based audit to verify project claims match implementation reality
Pre-commit and pre-merge validation checks. Use before committing changes or declaring work complete to ensure all quali...
Agent skill for performance-analyzer - invoke with $agent-performance-analyzer
Agent skill for performance-benchmarker - invoke with $agent-performance-benchmarker
Agent skill for performance-monitor - invoke with $agent-performance-monitor
Agent skill for performance-optimizer - invoke with $agent-performance-optimizer
Audit, score, and compare repositories containing portable Agent Plugins against the official Agent Plugins specificatio...
Agent skill for production-validator - invoke with $agent-production-validator
Specialist subagent: Python best practices, type hints, async patterns, and ecosystem expertise. Use for Python-specific...
Agent skill for raft-manager - invoke with $agent-raft-manager
Enrutador de contenido de internet unificado que permite a su agente buscar y leer en 15 plataformas — Xiaohongshu, Twit...
Give your AI agent eyes to see entire internet - Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu -...
Agent skill for refinement - invoke with $agent-refinement
Agent skill for resource-allocator - invoke with $agent-resource-allocator
Launch an expert code reviewer agent with full project context.
Review agent-generated changes against project rules. Use when asked for a review, before opening a PR, after large Code...
Run a structured retrospective after development-phase runs of your product's agents — interview the owner in plain lang...
Post-run self-evaluation system that scores agent output on correctness, clarity, actionability, and conciseness. Use af...
Author, structure, document, and validate compliant, high-quality Agent Skills for OWL, Claude Code, and other Agent Ski...
Use this skill when creating, reviewing, or editing Agent Skills-format skills, or when implementing skill discovery and...
Author and improve Agent Skills following the agentskills.io specification. Use when creating new SKILL.md files, modify...
Create and maintain Agent Skills following the agentskills.io specification for AI agents
Creates and improves portable Agent Skills with a validator, routing scenarios, and evidence-based keep, cut, merge, or...
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Agent skill for tdd-london-swarm - invoke with $agent-tdd-london-swarm