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Agent Skills with tag: tools

26 skills match this tag. Use tags to discover related Agent Skills and explore similar workflows.

ms-agent

>-

[researchcodegentoolsmcp]
modelscope
modelscope
4,421539

laudex

Find the right MCP server, API, SaaS product, or developer tool for a task using the Laudex catalog (laudex.dev), then report back whether it actually worked. Use this whenever the user needs an external service or tool to get something done and hasn't settled on one — "is there an MCP server for X", "what API should I use to Y", "find me a tool that can Z", "I need something to scrape / automate a browser / store memory / query a database / send email" — or whenever you are about to pick a third-party service yourself. Also use it after you have installed, called, or integrated a service found through Laudex, to report the outcome so other agents benefit, and whenever the user asks to report on or rate a service.

service-discoverymcpapitools
Laudex
Laudex
0

agent_orchestration

Transform clarified user requests into structured delegation prompts optimized for specialist agents (cto-architect, strategic-cto-mentor, cv-ml-architect). Use after clarification is complete, before routing to specialist agents. Ensures agents receive complete context for effective work.

[agentorchestrationagentsalgorithms
vuralserhat86
vuralserhat86
4211

audience_intelligence

Analyzes target audience demographics, psychographics, behaviors, and platform preferences to inform influencer selection and campaign strategy. Essential foundation for effective influencer marketing.

[agentsalgorithmsanalyticsartificial
vuralserhat86
vuralserhat86
4211

cold_email

Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof. Creates multi-touch campaigns optimized for response rates. Use when users need outbound email campaigns, sales sequences, or lead generation emails.

[agentsalgorithmsartificialintelligence
vuralserhat86
vuralserhat86
4211

competitor_intelligence

Analyzes competitor SEO and GEO strategies including their ranking keywords, content approaches, backlink profiles, and AI citation patterns. Reveals opportunities to outperform competition.

[agentsalgorithmsartificialintelligence
vuralserhat86
vuralserhat86
4211

debugging_tools

Debugging araçları - console, debugger, network, profiling.

[architectureautomationbestpractices
vuralserhat86
vuralserhat86
4211

email_composer

Profesyonel e-posta yazma, business communication ve template oluşturma rehberi.

[agentsalgorithmsartificialintelligence
vuralserhat86
vuralserhat86
4211

llm_evaluation

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

[accuracyagentsalgorithmsartificial
vuralserhat86
vuralserhat86
4211

multi_agent_patterns

Çoklu agent mimarisi tasarımı, orchestration patterns ve agent collaboration rehberi.

[agentsalgorithmsartificialintelligence
vuralserhat86
vuralserhat86
4211

platform_engineering

Design and implement Internal Developer Platforms (IDPs) with self-service capabilities, golden paths, and developer experience optimization. Covers platform strategy, IDP architecture (Backstage, Port), infrastructure orchestration (Crossplane), GitOps (Argo CD), and adoption patterns. Use when building developer platforms, improving DevEx, or establishing platform teams.

[bigdatacleaningcloud
vuralserhat86
vuralserhat86
4211

prompt_engineering

Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).

[agentsalgorithmsartificialintelligence
vuralserhat86
vuralserhat86
4211

prompt_optimizer

Mevcut promptların token kullanımını ve başarı oranını optimize etme.

[agentsalgorithmsartificialintelligence
vuralserhat86
vuralserhat86
4211

rag_architecture

Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.

[agentsalgorithmsartificialintelligence
vuralserhat86
vuralserhat86
4211

rag_implementation

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

[agentsalgorithmsartificialintelligence
vuralserhat86
vuralserhat86
4211

tailwind_mastery

Tailwind CSS v4, design tokens, responsive patterns ve utility-first CSS best practices.

[agentsalgorithmsartificialintelligence
vuralserhat86
vuralserhat86
4211

agents_md

AGENTS.md dosyaları oluşturma, monorepo yapılandırma ve agent instruction yönetimi rehberi.

[agentsagentsmdalgorithms
vuralserhat86
vuralserhat86
4211

mcp-builder

>-

mcptoolsagents
shipshitdev
shipshitdev
353

tool-design

Design tools that agents can use effectively, including when to reduce tool complexity. Use when creating, optimizing, or reducing the set of tools available to an agent.

toolsagentsarchitecture
shipshitdev
shipshitdev
353

x-is

>

[shellclitoolsvalidation
X-CMD
X-CMD
245

x-cmd

|

[shellclitoolspackage-management
Li Junhao
Li Junhao
245

x-env

|

[shellclitoolspackage-manager
X-CMD
X-CMD
245

x-install

|

[shellclitoolsinstall
X-CMD
X-CMD
245

x-mirror

|

[shellclitoolsmirror
X-CMD
X-CMD
245

x-rfc

|

[shellclitoolsrfc
X-CMD
X-CMD
245

plugin-development

Guide to creating gptme plugins with tools, hooks, and commands — covers ToolSpec, lifecycle hooks, custom /commands, testing, and pyproject.toml setup.

[pluginstoolshookscommands
bob
bob
1412