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Found 1,518 Skills
Implements Syncfusion Flutter Circular Charts (SfCircularChart) for pie, doughnut, and radial bar data visualizations in Flutter. Use when working with PieSeries, DoughnutSeries, or RadialBarSeries using the syncfusion_flutter_charts package. This skill covers chart setup, data labels, legends, tooltips, selection, annotations, gradients, animation, accessibility, and chart export.
This skill should be used when the user needs to convert documents between formats (Office to PDF, PDF to images, image to PDF), perform PDF operations (merge, split, rotate, encrypt, decrypt), or run OCR on scanned documents. Uses local free tools — LibreOffice, ghostscript, pdftk, tesseract, and imagemagick — with no API key required. Trigger when the user says "convert this document", "export to PDF", "merge PDFs", "split PDF", "rotate PDF", "OCR this scan", "convert PPTX to PDF", "convert DOCX to PDF", or any document format conversion request.
Create the perception of cultural depth through strategic juxtaposition of familiar and unfamiliar elements. Use when settings feel shallow, when you need centuries of implied history without exposition, or when worldbuilding lacks the texture of real cultural evolution.
Implements Syncfusion Flutter Cartesian Charts (SfCartesianChart) for a wide range of 2D chart types in Flutter apps. Use when working with line, column, bar, area, spline, scatter, bubble, financial, stacked, or histogram charts. This skill covers axis types (NumericAxis, CategoryAxis, DateTimeAxis), zoom and pan, tooltip, trackball, legend, annotations, technical indicators, trendlines, and chart export.
Review Next.js security audit patterns for App Router and Server Actions. Use for auditing NEXT_PUBLIC_* exposure, Server Action auth, and middleware matchers. Use proactively when reviewing Next.js apps. Examples: - user: "Scan Next.js env vars" → find leaked secrets with NEXT_PUBLIC_ prefix - user: "Audit Server Actions" → check for missing auth and input validation - user: "Review Next.js middleware" → verify matcher coverage for protected routes - user: "Check Next.js API routes" → verify auth in app/api and pages/api - user: "Secure Next.js headers" → audit next.config.js for security headers
Publication-ready matplotlib figures for Nature/high-impact journals and academic papers. Covers bar charts, grouped bars, heatmaps, line/trend plots, forest plots, microscopy-style image panels, schematic + quantitative composites, radar plots, and multi-panel layouts with Nature-style typography (Arial/sans-serif), restrained color systems, and SVG/PDF export conventions. Use when creating scientific figures that must match Nature publication standards. Do NOT use for interactive dashboards (Plotly, Bokeh) or Illustrator/Figma-first infographic workflows.
CenterPose for keypoint / pose estimation. Detects object centers and regresses keypoint locations for 6-DoF object pose estimation. Use when training, evaluating, exporting, or running inference for a TAO CenterPose model. Trigger phrases include "train CenterPose", "6-DoF object pose", "keypoint estimation", "object pose regression".
Create or modify a konsistent.json configuration file that enforces structural conventions in a TypeScript codebase. Use when the user wants to enforce consistent code structure, validate exports/imports across files, ensure directories contain required files, enforce naming patterns, add/remove/update convention rules, configure case map overrides for acronyms or special casing (kebabToPascalMap, kebabToCamelMap), or troubleshoot why konsistent is reporting violations. Triggers on: "konsistent", "konsistent.json", "enforce conventions", "structural consistency", "consistent exports", "consistent structure", "code conventions config", "add convention", "update convention", "fix konsistent errors", "case map", "case override", "acronym casing".
IDA Pro plugin that exposes static analysis capabilities via MCP HTTP server for reverse engineering workflows
Controls a cloud browser from a sandboxed remote machine. Use when the agent is running in a sandbox (no GUI) and needs to navigate websites, interact with web pages, fill forms, take screenshots, or expose local dev servers via tunnels.
Complete the full loop of "Data → Fine-tuning Training → Export → Deployment → Inference" using Bailian CLI (`bl`), or deploy base models directly without training. Supports fine-tuning of text models (SFT/DPO/CPT), audio TTS models (CosyVoice), and image generation models (Wan2.7). Covers dataset validation/upload, creating fine-tuning tasks, waiting for training completion, exporting the best checkpoint, creating inference deployments, waiting for readiness, and providing inference examples. This skill should be activated when users mention actions like "training models", "fine-tuning", "fine-tune", "finetune", "deploying models", "model launch", "running/calling fine-tuned models", "training an inference model", "continuing pre-training", "LoRA/SFT/DPO training", "speech synthesis models", "TTS fine-tuning", "CosyVoice", "voice cloning", "image generation fine-tuning", "text-to-image", "image-to-image", "Wan2.7", "image model training" on Bailian / DashScope / Alibaba Cloud Model Studio — even if users don't explicitly mention "using bl", as long as the intention is training or deployment on the Bailian platform, use this skill and do not assemble commands on your own.
Run knip to find and remove unused files, dependencies, and exports. Use for cleaning up dead code and unused dependencies.