Agents

Agents d’IA i automatització

Skills: 1537–1560 de 5701
piotrski

react-devtools

piotrski

React DevTools CLI for AI agents. Use when the user asks you to debug a React or React Native app at runtime, inspect component props/state/hooks, diagnose render performance, profile re-renders, find slow components, or understand why something re-renders. Triggers include "why does this re-render", "inspect the component", "what props does X have", "profile the app", "find slow components", "debug the UI", "check component state", "the app feels slow", or any React runtime debugging task.

Agents 252 fa 8 mesos
kevintsengtw

dotnet-testing

kevintsengtw

.NET 測試基礎技能總覽與引導中心。當使用者詢問「如何寫 .NET 測試」、「.NET 測試入門」、「需要哪些測試工具」、「測試最佳實踐」、「從零開始學測試」等一般性測試需求時觸發。會根據具體需求推薦適合的子技能組合,涵蓋測試基礎、測試資料、斷言、模擬、特殊場景等 19 個基礎技能。 Keywords: dotnet testing, .NET 測試, 測試入門, 如何寫測試, 測試最佳實踐, unit test, 單元測試, xunit, 3A pattern, FIRST 原則, assertion, 斷言, mock, stub, NSubstitute, test data, AutoFixture, Bogus, validator, FluentValidation, TimeProvider, IFileSystem, code coverage, ITestOutputHelper, test naming

Agents 30 fa 8 mesos
NeverSight

appfactory-builder

NeverSight

Build and deploy production apps using AppFactory's 7 pipelines (websites, mobile, dApps, AI agents, plugins, mini apps, bots). One prompt → live URL.

Agents 218 fa 8 mesos
LerianStudio

ring:dev-cycle-frontend

LerianStudio

Frontend development cycle orchestrator with 9 gates. Loads tasks from PM team output or backend handoff and executes through implementation → devops → accessibility → unit testing → visual testing → E2E testing → performance testing → review → validation.

Accessibilitat 218 fa 8 mesos
p-wegner

orchestrator

p-wegner

Delegating orchestrator — breaks work into sub-tasks and delegates to subagents or board tickets instead of doing everything itself

Agents 9 fa 5 mesos
p-wegner

board-navigator

p-wegner

Comprehensive guide for agents to interact with the kanban board using MCP tools

Agents 9 fa 2 mesos
frankxai

agent-implementer

frankxai

Implementation guidance for creating individual agents in the Arcanea system with proper structure, capabilities, and integration.

Agents 9 fa 8 mesos
iamzifei

xiaohongshu-publisher

iamzifei

Publish images to Xiaohongshu (小红书) via CDP browser. Always saves as draft.

Agents 9 fa 9 mesos
p-wegner

architecture-improvement

p-wegner

Analyzes the codebase using parallel subagents to identify high-value architecture improvement opportunities and produce a prioritized action plan.

Agents 9 fa 5 mesos
89jobrien

context-management

89jobrien

Context management specialist for multi-agent workflows and long-running

Agents 4 fa 10 mesos
membranehq

build-product-integrations

membranehq

Add integrations to your product — let users connect to Slack, HubSpot, Salesforce, GitHub, Jira, and 100,000+ APIs. Connection UI, OAuth, actions, data sync, webhooks, and AI agent tools via Membrane.

Agents 4 fa 8 mesos
platxa

platxa-skill-generator

platxa

Autonomous skill creator for Claude Code CLI. Uses multi-phase orchestrated workflow with Task tool subagents to research domains, design architecture, generate content, and validate quality. Creates production-ready skills following Anthropic's Agent Skills specification.

Agents 4 fa 9 mesos
willau95

ATLAST ECP — Agent Skill

willau95

MIT License — https://github.com/willau95/atlast-ecp

Agents 4 fa 7 mesos
griffinwork40

polish

griffinwork40

"Iteratively refines any artifact (prose, spec, prompt, API design, SKILL.md, code snippet) by running a decoupled evaluator → generator loop until explicit criteria are met or an iteration cap is reached. Locks criteria in Wave 1, isolates the evaluator from generation history to prevent sycophancy, and emits the best version with any remaining gaps flagged at cap."

Agents 62 fa 2 mesos
oldwinter

ai-product-strategy

oldwinter

"Create an AI Product Strategy Pack (thesis, prioritized use cases, system plan, eval + learning plan, agentic safety plan, roadmap). Use for AI product strategy, LLM/agent strategy, AI roadmap, AI-first product direction."

Àmbit acadèmic 10 fa 9 mesos
oldwinter

finding-mentors-sponsors

oldwinter

"Build a Mentor & Sponsor Plan Pack (mentor portfolio, sponsor strategy, target list, outreach scripts, meeting agenda, tracking + cadence). Use for finding a mentor, finding a sponsor, mentorship, sponsorship, career advisor, career coaching, networking outreach. Category: Career."

Agents 10 fa 7 mesos
oldwinter

building-with-llms

oldwinter

"Produce an LLM Build Pack (prompt+tool contract, data/eval plan, architecture+safety, launch checklist). Use for building with LLMs, GPT/Claude apps, prompt engineering, RAG, and tool-using agents."

Agents 10 fa 9 mesos
nguyenthienthanh

lazy-agent-loader

nguyenthienthanh

"Load agent definitions on-demand to reduce context usage. Only loads full agent when needed."

Agents 25 fa 8 mesos
wcygan

clone-research

wcygan

Comprehensive product research for building an MVP clone. Spawns 4 parallel research agents to produce 9 standardized documents: Product Thesis, Feature Priority Matrix, MVP Scope Contract, Core User Journeys, Domain Model, System Architecture, Revenue & Pricing Model, API Surface Spec, and Design System Brief. Use when planning a clone, building a competitor alternative, scoping an MVP, or analyzing a product to replicate. Keywords: clone, MVP, product research, teardown, feature matrix, domain model, reverse engineer, competitor clone

Àmbit acadèmic 194 fa 8 mesos
wcygan

Product Discovery

wcygan

Example queries and expected outputs

Àmbit acadèmic 194 fa 8 mesos
wcygan

deep-dive

wcygan

Deep dive into a codebase to understand specific topics, patterns, or implementations. Spawns parallel agents with distinct investigation strategies (breadth-first mapping, depth-first tracing, optional history/boundary analysis) then synthesizes findings into a layered summary. Use for understanding how something works, exploring unfamiliar code, or building a mental model of a large system. Keywords: deep dive, explore, understand, how does, architecture, codebase exploration, trace, investigate, mental model

Agents 194 fa 8 mesos
wcygan

business-review

wcygan

Launch a multi-function business review team to evaluate product ideas, features, or applications from stakeholder perspectives. Agents represent product management, marketing, engineering, finance, data science, data engineering, sales, and synthesis roles. Use when evaluating a new feature, assessing product viability, planning launches, or need cross-functional input on business decisions. Keywords: business review, product evaluation, feature assessment, stakeholder analysis, cross-functional review, product viability, go-to-market, unit economics, technical feasibility

Agents 194 fa 8 mesos
wcygan

plan-mode

wcygan

Research, analyze, and create a detailed implementation plan without making any code changes. Read-only planning mode with sub-agent exploration. Use when planning implementation, designing approach, creating technical plans, or analyzing before building. Keywords: plan, design, approach, implementation plan, analyze, research, strategy, read-only planning

Agents 194 fa 8 mesos
nguyenthienthanh

session-continuation

nguyenthienthanh

"Manage workflow state across sessions with handoff and resume. TOON-based state persistence."

Agents 25 fa 9 mesos