// مهارات راجعها الذكاء الاصطناعي
مهارات قيّمها الذكاء الاصطناعي وسجّلها من حيث الجودة والفائدة
تُقيّم كل مهارة بواسطة مراجع ذكاء اصطناعي وفق معيار منظم: جودة التعليمات، الفائدة، السلامة التقنية، ودقة الوصف. تتراوح الدرجات من ٠ إلى ١٠٠. المهارات بدرجة ٧٥+ عالية الجودة، ودرجات ٥٠-٧٤ قوية وذات قيمة محددة.
عرض إحصاءات المراجعاتعرض ١-١٢ من ٩٨٤٩ مهارة
Generate personalized status briefings on demand. Pulls from your configured data sources (GitHub, email, Teams, Slack, and more), synthesizes across them, and drafts updates in your own communication style for any audience you define.
Automate Proxiedmail tasks via Rube MCP (Composio). Always search tools first for current schemas.
Generates custom design system rules for the user's codebase. Use when user says "create design system rules", "generate rules for my project", "set up design rules", "customize design system guidelines", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.
CLAWP Agent - AI token creation advisor powered by OpenClaw
Use this skill alongside figma-use when the task involves translating an application page, view, or multi-section layout into Figma. Triggers: 'write to Figma', 'create in Figma from code', 'push page to Figma', 'take this app/page and build it in Figma', 'create a screen', 'build a landing page in Figma', 'update the Figma screen to match code'. This is the preferred workflow skill whenever the user wants to build or update a full page, screen, or view in Figma from code or a description. Discovers design system components, variables, and styles via search_design_system, imports them, and assembles screens incrementally section-by-section using design system tokens instead of hardcoded values.
jq — JSON Querying and Transformation workflow skill. Use this skill when the user needs Expert jq usage for JSON querying, filtering, transformation, and pipeline integration. Practical patterns for real shell workflows and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
Statistical visualization on matplotlib with native pandas support. Auto aggregation, CIs, grouping for distributions (histplot, kdeplot), categorical (boxplot, violinplot), relational (scatterplot, lineplot), regression (regplot, lmplot), matrix (heatmap, clustermap), grids (pairplot, FacetGrid). Use for quick statistical summaries; matplotlib for fine control; plotly for interactive HTML.
Jest testing patterns, factory functions, mocking strategies, and TDD workflow. Use when writing unit tests, creating test factories, or following TDD red-green-refactor cycle.
Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when deciding whether to maintain or sunset existing code.
The technique catalog: five velocity-matched SEAMS (zoom-through, INVERSE zoom-through, cut-the-curve, waterfall cut, rack-focus blur-cut) plus the two in-scene techniques — waterfall ENTRY (staggered arrival cascades for title cards / segment openers) and the nudge curve (slow-fast-slow three-phase group slides). Covers partial-travel (~12% of frame) velocity matching via mirrored power4 eases, the Z scale-sign rule, size-scaled blur (10px text / 18-20px full-frame), word-by-word staggered cuts, cascade pacing by element weight, and the 10/65/25 slide ratio. Read before authoring any transition, text-beat handoff, kinetic text entry, or group reposition. [depth, zoom, inverse-zoom, scale-sign, mirrored-zoom, rack-focus, pacing, velocity, cut-the-curve, waterfall, stagger, cascade, kinetic-text, title-card, segment-opener, nudge, slide, easing, group-motion, z-depth, motion-graphics, cinematic, transition, blur, directional-continuity]
Stop Codex, GitHub Copilot, Claude Code, and Cursor from shipping generic UI. Use UIZZE’s public catalogue of 800,000+ real web and iOS screens to extract product-specific design decisions and enforce a hard finish gate for web and iOS interfaces.
Automate Templated tasks via Rube MCP (Composio). Always search tools first for current schemas.
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