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Found 11,818 Skills
Expert Clay platform consultant for B2B data enrichment and workflow automation. Use when the user asks about Clay tables, waterfall enrichment, Clay credits, Clay pricing, Claygent, Clayscript formulas, Clay CRM sync, Clay enrichment workflows, Clay integrations, Clay Chrome extension, Clay templates, or building data pipelines in Clay. Also triggers on "Clay workflow", "enrichment waterfall", "Clay credits", "Claygent", "Clayscript", "Clay + HubSpot", "Clay + Salesforce", "Clay table", "Clay providers", "enrich in Clay", "Clay API", "Clay column", "Clay formulas", "find emails", "email waterfall", "phone waterfall", "lead scoring", "Clay debugging". Do NOT use for general CRM questions without Clay context, standalone email tools (Findymail, Hunter), or non-Clay enrichment platforms.
Map user missions from trigger to value moment, organizing features into coherent paths during PRD v0.4 User Journeys. Triggers on requests to map user journeys, define user flows, describe how users accomplish goals, or when user asks "map user journeys", "define user flows", "user missions", "how do users accomplish X?", "journey mapping", "what steps do users take?", "pain to value flow". Consumes PER- (Persona Definition), FEA- (Feature Value Planning), KPI- (Outcome Definition). Outputs UJ- entries with step flows, pain points, and value moments. Feeds v0.4 Screen Flow Definition.
Product Detail Page architecture, image gallery/carousel, caching, and add-to-cart flow. Use when modifying PDP layout, debugging gallery swipe/thumbnails, understanding LCP optimization, fixing ErrorBoundary issues, or working with variant-specific images.
[MCP WRAPPER] Programmatically create/modify Godot scenes using Godot MCP tools. Orchestrates mcp_godot_create_scene, mcp_godot_add_node, mcp_godot_load_sprite into agentic workflows. Use when user requests scene generation/automation via MCP. Keywords MCP, scene automation, programmatic scene building, node hierarchy.
CI-only Simplify & Harden workflow for pull requests using gh-aw (GitHub Agentic Workflows). Runs headless scan-and-report checks for simplify/harden/document, posts structured findings, and can block merges on critical or advisory classes. Use when: you want automated quality/security review in CI without interactive approvals.
Patterns for building robust, reproducible genomics analysis pipelines. Covers workflow managers, NGS data processing, variant calling, RNA-seq, and common bioinformatics pitfalls. Use when ", " mentioned.
Event modeling facilitation for discovering and designing event-sourced systems. Four phases: domain discovery, workflow design (9-step process), GWT scenario generation, and model validation. Activate when starting a new project, designing features, modeling domains, writing Given/When/Then scenarios, or discussing event sourcing and domain-driven design.
Adds CI/CD to a .NET project. GitHub Actions vs Azure DevOps detection, workflow templates.
AI team role manager for multi-agent development workflows. Use when the user wants to create/delete team roles, open role sessions in terminal tabs, assign tasks to roles, check team status, or merge role branches. Triggers on /agent-team commands, "create a team role", "open role session", "assign task to role", "show team status", "merge role branch".
Executes browser workflows while monitoring JavaScript console for errors, warnings, and messages. Use when you need error-free validation, debugging context during automation, or proactive error detection in web applications. Triggers on "check for console errors", "monitor JavaScript errors", "validate error-free execution", or "debug browser workflow". Works with Playwright MCP browser automation tools.
Guides users through structured three-stage collaborative documentation workflow including context gathering, iterative refinement, and reader testing. Use when asked to "write a doc", "draft a proposal", "create a spec", "write technical documentation", "create a PRD", or "draft an RFC". Implements systematic approach for PRDs, design docs, decision docs, technical specs, and proposals through clarifying questions, section-by-section iteration, and fresh-eye validation. Works with markdown documentation, technical specifications, and structured writing projects.
Safely fills web forms in Chrome with user approval and verification at every step. Use when asked to "fill this form", "complete the form for me", "fill out registration", "submit this application", or when user needs form automation with safety controls. Works with Chrome browser tabs via MCP tools (tabs_context_mcp, read_page, form_input). Enforces permission workflows, field verification, and never fills sensitive data.