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Found 652 Skills
Generate videos from text and image prompts via Together AI. 15+ models including Veo 2/3, Sora 2, Kling 2.1, Hailuo 02, Seedance, PixVerse, Vidu. Supports text-to-video, image-to-video, keyframe control, and reference images. Use when users want to generate videos, create video content, animate images, or work with any video generation task.
Kotlin for Android: ViewModel, LiveData/StateFlow, coroutines viewModelScope, Gradle KTS, KTX
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
Active Directory ACL abuse playbook. Use when exploiting misconfigured AD permissions including GenericAll, WriteDACL, DCSync rights, shadow credentials, LAPS reading, GPO abuse, and BloodHound-guided attack paths.
Qualtrics XM platform help — CX surveys (NPS/CSAT/CES), Employee Experience (EX) pulse surveys, Strategy & Research, Experience Agents AI, XM Directory, dashboards, REST API v3, MCP servers. Use when surveys aren't getting responses, dashboards won't show the right data, API calls return errors, you're setting up Qualtrics for the first time, confused by XM Directory contact management, need to export response data, comparing Qualtrics vs Medallia, or Qualtrics is too complex and you need guidance. Do NOT use for general NPS/CSAT strategy across tools (use /sales-customer-feedback) or product review collection like Trustpilot or G2 (use /sales-customer-reviews).
Customer feedback, NPS, CSAT, CES, Voice of Customer strategy across platforms — survey design, response rate optimization, closed-loop feedback, text analytics, benchmarking, program governance. Use when NPS scores are stagnant, survey response rates are low, feedback isn't driving action, unsure which CX metric to use, need to design a VoC program, comparing feedback tools (Medallia vs Qualtrics vs SurveyMonkey vs Typeform), or customers feel over-surveyed. Do NOT use for product review collection like Trustpilot or G2 (use /sales-customer-reviews) or in-app message surveys (use /sales-in-app-messaging).
Production recipes for GSAP SVG animations. Companion to official gsap-plugins skill (API reference). Triggers: SVG animation, GSAP SVG, path drawing, strokeDashoffset, DrawSVG, drawSVG, SVG morph, MorphSVGPlugin, circuit tree, circuit board, CTAHud, HUD animation, pulse ring, scallop wave, SVG stagger, SVG fill, SVG stroke, SVG cleanup, feGaussianBlur, SVG glow, SVG blink, shape overlay, page transition, section transition, smooth morph, morph interpolation, dynamic morphing, SVG curtain, shape transition. Non-triggers: Not for text animation (use gsap-text), scroll reveals without SVG (use gsap-scroll), mouse interactions (use gsap-interact), or non-SVG visual effects (use gsap-vfx). Outcome: Produces SVG animations — path drawing, morphing, circuit board patterns, HUD systems, pulse rings, and scallop waves.
7 education research skills. Trigger: pedagogical research, course design, learning analytics, assessment. Design: evidence-based teaching methods and educational measurement tools.
Configurable gate validation skill. Use when running repository-local gate rules from gate_rules.yaml (command/structural/eda-contract), checking legacy experiment registry safety, or enforcing close-gate fail-closed validation.
Generate and edit images using Google's Gemini image generation models (Nano Banana family). Supports style presets, platform-specific sizing (YouTube/slides/blog), variants, image editing via inlineData, reference images for style transfer, and organized output with metadata. Default model is Nano Banana 2 (gemini-3.1-flash-image-preview). Key is auto-decrypted via SOPS.
Configure Shadcn UI theme and color schemes (ShadThemeData, ShadColorScheme), override colors, use ShadColorScheme.fromName for theme switchers, and add custom colors. Use when theming a Flutter shadcn_ui app, changing color scheme, or adding custom theme colors.
Turn approved storyboard logic, beat sheets, or prompt plans into provider-ready short-form video requests. Use this when the segment structure is already known and you need a model-agnostic request architecture that can later map cleanly into Seedance or other video generators.