Design and implement a complete ML pipeline for: $ARGUMENTS
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sickn33
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sickn33 has published 729 AI agent skills on Agent Skill Source. The work covers 16 categories and runs on 6 runtimes.
- Published skills
- 729
- Installs recorded
- 4
- Categories covered
- 16
- Runtimes supported
- 6
- Average trust score
- 50/100
- Last updated
- First published
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Microsoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth. Triggers: "Microsoft 365 Agents SD...
Microsoft 365 Agents SDK for .NET. Build multichannel agents for Teams/M365/Copilot Studio with ASP.NET Core hosting, AgentApplication routing, and MSAL-based auth. Triggers: "Microsoft 365 Agents SDK", "Microsoft.Age...
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 evaluat...
Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer ...
You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati
Expert guidance for creating intelligent conversational interfaces, chatbots, and AI-powered applications with natural language understanding.
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting...
Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, types, stat...
Comprehensive techniques for identifying and exploiting privilege escalation paths on Linux systems, enabling elevation to root access.
This skill should be used when the user asks to "create bash scripts", "automate Linux tasks", "monitor system resources", "backup files", "manage users", or "write production shell scripts". It provides ready-to-use ...
Implement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.
Automate LinkedIn tasks: post creation, profile management, company info retrieval, commenting, and image uploads via Rube MCP.
Manage Linear issues, projects, and teams
Automate Linear tasks (issues, projects, cycles, teams, labels) via Rube MCP (Composio). Always search tools first for current schemas.
Refactor legacy codebases, migrate outdated frameworks, and
Draft legal documents like privacy policies, terms of service, and disclaimers, ensuring regulatory compliance and clarity.
Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'ear...
Senior Laravel Engineer role for production-grade, maintainable, and idiomatic Laravel solutions. Focuses on clean architecture, security, performance, and modern standards (Laravel 10/11+).
Security auditor for Laravel applications. Analyzes code for vulnerabilities, misconfigurations, and insecure practices using OWASP standards and Laravel security best practices.
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-l...
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.
Subjects sickn33 covers
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