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Found 1,464 Skills
Interactive browser automation via Chrome DevTools Protocol. Use when you need to interact with web pages, test frontends, or when user interaction with a visible browser is required.
Automate GitHub workflows with AI assistance. Includes PR reviews, issue triage, CI/CD integration, and Git operations. Use when automating GitHub workflows, setting up PR review automation, creating GitHub Actions, or triaging issues.
Interact with X (Twitter) API v2. Post tweets, search, engage, moderate, and analyze — all from your AI agent. Full 31-command skill for Twitter/X automation.
Decision-making framework for software development, Y Combinator / Silicon Valley style. Based on real principles from Paul Graham, Sam Altman, Michael Seibel, Patrick Collison, and Brian Chesky. Use when: - Developing features or products - Making technical decisions (what to do, how, when) - Prioritizing work (P0, P1, P2) - Evaluating whether to refactor or patch - Deciding on technical debt - Evaluating whether to add tests, CI/CD, or automation - Any architecture or engineering decision Triggers: development, code, feature, refactor, architecture, prioritize, technical decision, what to do first, technical debt, tests, CI/CD, sprint, backlog
This skill should be used when users need help designing content workflows, creating process documentation, implementing automation rules, designing approval processes, or optimizing content pipelines. It activates when users ask about workflow design, process documentation, automation, approval workflows, or content pipeline optimization.
ISO 42001 AI Management System compliance automation. Assesses organizational readiness for AIMS certification, evaluates AI system impacts, validates governance structures, and checks Annex A controls. Use for ISO 42001 readiness assessments, AI governance planning, AI impact assessments, responsible AI implementation, and AIMS certification preparation.
Expert knowledge for Azure DevTest Labs development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing DevTest Labs VMs, images/artifacts, ARM/CLI automation, RBAC/Key Vault security, or hub-spoke lab setups, and other Azure DevTest Labs related development tasks. Not for Azure Dev Box (use azure-dev-box), Azure Lab Services (use azure-lab-services), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Desktop (use azure-virtual-desktop).
Lemlist platform help — multichannel sequences, lead database, enrichment, Lemwarm, unified inbox, AI personalization, LinkedIn automation, calls, WhatsApp, API, integrations. Use when asking 'how do I do X in Lemlist', configuring Lemlist settings, setting up sequences, managing leads, using Lemwarm warmup, connecting integrations, using the People Database, or using the Lemlist API. Do NOT use for building prospect lists (use /sales-prospect-list), designing cadence strategy (use /sales-cadence), cross-platform deliverability (use /sales-deliverability), or enriching contacts outside Lemlist (use /sales-enrich).
MUST activate when the project contains a uiBundles/*/src/ directory and the task involves ANY Salesforce record operation — reading, creating, updating, or deleting. Use this skill when building forms that submit to Salesforce, pages that display Salesforce records, or any code that touches Salesforce objects or custom objects. Activate when files under uiBundles/*/src/ import from @salesforce/sdk-data, or when *.graphql files or codegen.yml exist. This skill owns all Salesforce data access patterns in UI bundles. Does not apply to authentication/OAuth setup, schema changes, Bulk/Tooling/Metadata API, or declarative automation.
Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.
Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.
Pulumi infrastructure as code performance and reliability guidelines. This skill should be used when writing, reviewing, or refactoring Pulumi code to ensure optimal deployment performance and infrastructure reliability. Triggers on tasks involving Pulumi stacks, components, state management, secrets configuration, resource lifecycle options, or CI/CD automation.