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Found 1,865 Skills
Enterprise Skill for advanced development
Enterprise LLM Fine-Tuning with LoRA, QLoRA, and PEFT techniques
Set up Azure Pipelines for CI/CD, configure build and release pipelines, manage Azure DevOps projects, and integrate with Azure services. Use when working with Azure DevOps Services or Server for enterprise DevOps workflows.
Provides strategic insights on AI-driven software democratization and agent-based development trends from Replit's perspective. Use when discussing the future of software engineering, AI agent infrastructure requirements, democratization of coding, or when analyzing how AI will transform software creation from expert-only to universal access. Triggers include questions about software engineering automation trends, agent sandbox environments, SWE-bench benchmarks, or strategic implications of AI coding assistants for startups and enterprises.
Use this skill when conducting customer research - designing surveys, writing interview guides, performing NPS deep-dive analysis, interpreting behavioral analytics (funnels, cohorts, retention), or building data-driven user personas. Triggers on "create a survey", "interview script", "NPS analysis", "user persona", "behavioral analytics", "customer segmentation", "voice of customer", "churn analysis", "jobs to be done", or "research plan".
Tech Stock Earnings Deep Dive Analysis and Multi-Perspective Investment Memo System (v3.0). Covers 16 major analysis modules (A-P), 6 investment philosophy perspectives, institutional-grade evidence standards, anti-bias framework, and actionable decision system. When users mention topics such as tech company earnings analysis, quarterly/annual report interpretation, earnings call, revenue growth analysis, margin changes, guidance, valuation models, DCF, reverse DCF, EV/EBITDA, PEG, Rule of 40, management analysis, competitive landscape, position sizing, whether to buy/sell/add to a tech stock position, how to interpret a company's latest earnings, doing a deep dive, multi-angle valuation, how investment masters view a company, variant view, key forces, kill conditions, ownership structure, executive team, partner ecosystem, macro policy impact, etc., this skill should be used. Even if the user simply asks "help me look at NVDA's latest earnings" or "how did META do this quarter" or "should I keep holding MSFT," this skill should be triggered to provide comprehensive earnings analysis and a multi-perspective investment memo. This skill complements the us-value-investing skill — us-value-investing focuses on long-term value four-dimensional scoring, while this skill focuses on in-depth dissection of the latest earnings, comprehensive judgment across multiple investment philosophies, and actionable position decisions.
GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific optimization, schema markup, technical SEO, content quality (E-E-A-T), and client-ready GEO report generation. Use when user says "geo", "seo", "audit", "AI search", "AI visibility", "optimize", "citability", "llms.txt", "schema", "brand mentions", "GEO report", or any URL for analysis.
Unit testing patterns for isolated business logic tests — AAA pattern, parametrized tests (test.each, @pytest.mark.parametrize), fixture scoping (function/module/session), mocking with MSW/VCR at network level, and test data management with factories (FactoryBoy, faker-js). Use when writing unit tests, setting up mocks, structuring test data, optimizing test speed, choosing fixture scope, or reducing test boilerplate. Covers Vitest, Jest, pytest.
Expert knowledge for Azure Firmware Analysis development including troubleshooting, best practices, security, integrations & coding patterns, and deployment. Use when provisioning AFA workspaces, configuring RBAC access, uploading firmware via CLI/PowerShell/Python, or interpreting SBOM results, and other Azure Firmware Analysis related development tasks.
CrewAI architecture decisions and project scaffolding. Use when starting a new crewAI project, choosing between LLM.call() vs Agent.kickoff() vs Crew.kickoff() vs Flow, scaffolding with 'crewai create flow', setting up YAML config (agents.yaml, tasks.yaml), wiring @CrewBase crew.py, writing Flow main.py with @start/@listen, or using {variable} interpolation.
Production-first enterprise skill for The Composable Architecture (TCA) with SwiftUI (iOS 16+, TCA 1.7+). This skill should be used when building new TCA features with @Reducer macro, decomposing god reducers, implementing StackState/StackAction navigation or tree-based @Presents navigation, writing TestStore tests, migrating legacy TCA code to modern @ObservableState patterns, debugging TCA performance issues, managing side effects and dependencies with @DependencyClient, or reviewing TCA code for anti-patterns. Use this skill any time someone works with TCA reducers, stores, effects, or dependencies — AI tools consistently generate outdated pre-1.7 TCA patterns, so this skill is essential for correct code.
AI-powered JavaScript reverse engineering tool. Senior JavaScript reverse engineering expert assistant. Actions: collect, search, deobfuscate, understand, summarize, detect-crypto, browser, debugger, breakpoint, debug-step, debug-eval, debug-vars, script, hook, stealth, dom, page. Capabilities: obfuscated code analysis, VM cracking, Webpack unpacking, AST transformation, Puppeteer/CDP automation, anti-detection, fingerprint spoofing, encryption identification, parameter extraction, algorithm restoration, Canvas/WebGL fingerprinting, WebDriver hiding, CDP debugging, breakpoint analysis, dynamic tracing, Hook injection, DOM inspection, page control.