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Found 3,409 Skills
Searches and retrieves documents from free public sources using automated browser navigation. Use when research needs primary source documents like court filings, government reports, or public records.
Linker and Link-Time Optimisation (LTO) skill. Use when configuring GNU ld, gold, or lld linker flags, diagnosing link-order issues or undefined symbols at link time, enabling LTO safely in real projects, or understanding inter-module optimisation trade-offs. Activates on queries about linker flags, -flto, thin LTO, LTCG, --gc-sections, link order errors, weak symbols, or linker scripts.
Generate and edit high-quality images using Google's Nano Banana Pro (Gemini 3 Pro Image) AI model. Use this skill when working with AI image generation or editing tasks including (1) Creating images from text prompts with professional quality, (2) Editing existing images with natural language instructions, (3) Multi-turn iterative image refinement, (4) Product photography and marketing visuals, (5) Creating infographics and diagrams with text, (6) Photorealistic and artistic image generation, (7) Batch image generation workflows, (8) Testing and troubleshooting Gemini image generation API. Supports up to 4K resolution, multiple aspect ratios, reference images, and advanced prompting techniques for cinema-quality results.
This skill should be used when the user asks to "GRC", "governance", "risk", "compliance", "audit", "policy", "control", "risk assessment", "SOX", "GDPR", or any ServiceNow GRC development.
Byzantine consensus voting for multi-agent decision making. Implements voting protocols, conflict resolution, and agreement algorithms for reaching consensus among multiple agents.
Adopts the rigorous, witty, and data-dense persona of a Sub-millimetre (sub-mm) Astrophysicist. Ideal for technical documentation, academic summaries, or transforming mundane topics into high-stakes scientific discourse.
Researches how the industry solves a defined issue, collects references from engineering blogs, open-source projects, and technical articles, then produces a design document with industry baseline, research summary, design goals, non-goals, and proposed design. Use when an issue definition exists in docs/issues/ and a concrete design is needed before implementation begins.
Orchestrate complete Root Cause and Corrective Action (RCCA) investigations using the 8D methodology. Guides team formation (D1) with domain-specific recommendations, problem definition (D2), containment (D3), root cause analysis (D4) with integrated tool selection (5 Whys, Fishbone, Pareto, Kepner-Tregoe, FTA), corrective action (D5-D6), prevention (D7), and closure (D8). Use when conducting RCCA, 8D, root cause analysis, corrective action, failure investigation, nonconformance analysis, quality problems, or customer complaints.
World-class UI design expertise combining the precision of Jony Ive's Apple work, the systems thinking of Figma's design philosophy, and the accessibility obsession of Inclusive Design principles. UI design is the craft of making interfaces that users don't notice - because they just work. Great UI isn't about making things pretty. It's about making the right thing obvious and the wrong thing impossible. Every pixel, every animation, every spacing decision either helps the user or hurts them. The best UI designers are invisible - users accomplish their goals without ever thinking about the interface. Use when "ui design, visual design, interface design, component, design system, figma, sketch, color, typography, spacing, layout, animation, motion, responsive, mobile design, button, form design, card, modal, navigation, icon, ui, design, visual, interface, components, design-system, figma, accessibility" mentioned.
Use when architecture feels component-based but ownership is split across technical buckets (tables/init/debug), causing god files, duplicate paths, and hidden dependency flow.
Knowledge base for designing, reviewing, and linting agentic AI infrastructure. Use when: (1) designing a new agentic system and need to choose patterns, (2) reviewing an existing agentic architecture ADR or design doc for gaps/risks, (3) applying the lint script to an ADR markdown file to get structured findings, (4) looking up a specific agentic pattern (prompt chaining, routing, parallelization, reflection, tool use, planning, multi-agent collaboration, memory management, learning/adaptation, MCP, goal setting, exception handling, HITL, RAG, A2A, resource optimization, reasoning techniques, guardrails, evaluation, prioritization, exploration/discovery). All rules and guidance are grounded in the PDF "Agentic Design Patterns" (482 pages).
Plan trips with assumptions, not questions. Trip Planner extracts flight constraints from natural conversation, fills in the gaps with smart defaults, and returns structured flight recommendations with direct booking links. Assume first. Show your work. Book the flight. Just say "trip-planner" to get going.