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Found 3,041 Skills
Author or modify Azure TypeSpec API specifications. USE FOR: Any task that creates, modifies, or troubleshoots .tsp files or TypeSpec API specifications — including but not limited to API versioning evolution(add new preview version, add new stable version), ARM resource type(tracked, proxy, extension, child resources) or data-plane resource definitions, resource operations (CRUD, PATCH, custom actions, paging, async/Long Running Operations), models, enums, unions, properties, decorators, constraints, parameters, and swagger-to-TypeSpec conversion. DO NOT USE FOR: SDK generation from TypeSpec, releasing SDK packages, single MCP tool calls that do not require multi-step workflows. TOOLS/COMMANDS: azsdk_typespec_generate_authoring_plan, azsdk_run_typespec_validation
Lead Développeur pour coordination technique opérationnelle et code review. Utilise ce skill quand: (1) coordination d'une équipe de développeurs, (2) code review et qualité de code, (3) mentoring technique, (4) résolution de problèmes techniques complexes, (5) planification des sprints techniques, (6) validation des merge requests.
Convert and validate acceptance criteria for Playwright test automation. Use when user asks to (1) review/evaluate/check if AC are ready for automation, (2) assess if AC can be converted as-is, (3) validate AC quality for Playwright, (4) turn AC into tests, (5) generate tests from acceptance criteria, (6) convert .md bullets or .feature Gherkin files to Playwright specs, (7) create test automation from requirements. Handles both bullet-style markdown and Gherkin syntax with JSON test plan generation and validation.
Analyze what customers truly need by discovering the "job" they hire your product to do. Use when the user mentions "customer discovery", "why customers churn", "what job does this solve", "competing against luck", or "product-market fit". Covers JTBD interviews, competition analysis, and jobs-oriented roadmaps. For product positioning, see obviously-awesome. For rapid validation, see design-sprint. Trigger with 'jobs', 'to', 'be'.
Expert micro-interaction architect for mobile apps, web applications, and responsive websites. Use this skill when the user asks to add, build, fix, audit, or consult on micro-interactions, animations, transitions, motion design, gesture feedback, haptics, loading states, skeleton screens, pull-to-refresh, swipe actions, scroll animations, button states, form validation feedback, toast notifications, modals, dropdowns, toggles, progress indicators, shared element transitions, spring physics, easing curves, motion tokens, or any interaction that provides visual/haptic/auditory feedback to user actions. Triggers on: "micro-interaction", "animation", "transition", "motion", "easing", "spring", "gesture", "haptic", "feedback", "loading state", "skeleton", "shimmer", "pull to refresh", "swipe", "drag", "hover effect", "press state", "focus ring", "scroll animation", "parallax", "stagger", "orchestration", "reduced motion", "View Transitions", "layout animation", "shared element", "hero animation", "morphing", "Framer Motion", "GSAP", "Lottie", "Rive", "React Spring", "anime.js", or any request to make an interface "feel better", "feel alive", "feel snappy", "feel responsive", or "feel polished".
SafetyMails platform help — bulk email verification (up to 2M emails, 19-step algorithm), real-time API validation (JavaScript embed for forms), Email Finder (B2B corporate lookup), list cleaning, spamtrap/disposable/catch-all detection, integrations. Use when asking 'how do I do X in SafetyMails', verifying emails with SafetyMails, cleaning email lists in SafetyMails, setting up SafetyMails API/JavaScript embed, using SafetyMails Email Finder, or managing SafetyMails integrations. Do NOT use for general deliverability strategy across tools (use /sales-deliverability), general enrichment strategy (use /sales-enrich), building prospect lists (use /sales-prospect-list), or connecting tools generically (use /sales-integration).
Build single-line and multi-line text input fields using Syncfusion React TextBox. Trigger when user needs text inputs with floating labels, validation states, adornments (icons/buttons via prependTemplate/appendTemplate), sizing options, rounded corners (e-corner), disabled/read-only states, RTL support, or custom styling. Use for forms, user profiles, search bars, comments, addresses, or any text data collection in React applications.
Learn to implement Syncfusion WinUI NumberBox (SfNumberBox) control for numeric input with validation, custom formatting, and value restrictions. Use this skill when you need numeric input fields with currency, percentage, or decimal formatting in WinUI applications.
Business analysis expert who drives project discovery, market research, and requirements validation within the BMAD methodology
Expert Mermaid diagram creation, validation, and rendering with dual-engine output (SVG/PNG/ASCII). Supports all 20+ diagram types including C4 architecture, AWS architecture-beta with service icons, flowcharts, sequence, ERD, state, class, mindmap, timeline, git graph, sankey, and more. Features code-to-diagram analysis, batch rendering, 15+ themes, and syntax validation. Use when users ask to create diagrams, visualize architecture, render mermaid files, generate ASCII diagrams, document system flows, model databases, draw AWS infrastructure, analyze code structure, or anything involving "mermaid", "diagram", "flowchart", "architecture diagram", "sequence diagram", "ERD", "C4", "ASCII diagram". Do NOT use for non-Mermaid image generation, data plotting with chart libraries, or general documentation writing.
PR-backed and current-main optimization manual for `moonshotai/Kimi-K2*` and `moonshotai/Kimi-K2.5*` in SGLang. Use when Codex needs to recover, extend, or audit Kimi optimizations, including K2 router/MoE fast paths, K2 thinking Marlin paths, K2.5 wrapper/multimodal/runtime plumbing, W4AFP8/W4A16 quant tracks, parser contracts, LoRA coverage, and backend-specific validation.
Ultra-lightweight channel for refactor processes - used when changes are obviously too small to justify the full scan → design → apply three-stage workflow. AI directly identifies 1-3 low-risk optimization points, confirms with the user once, modifies in-place using classic methods, and validates itself by running tests. No scan checklist, no design documentation, no multi-step HUMAN verification required. Trigger scenarios: When the user says "quick refactor", "small refactor", "simply optimize XX function", "modify directly", "skip all those steps", and the scope of changes is clearly limited to a single function/single component, with tests available for self-validation.