Discover Data & AI skills, compare source repositories and read the instructions for each workflow.
Use this skill when the user asks to build, create, design, develop, or improve ANY frontend interface, web page, UI component, or visual element. This includes: - Building landing pages, websites, web apps, da...
Analyze any website's UI style using ChromeDevTools to extract precise CSS tokens, animations, and interaction states. Handles complex sites and anti-bot measures by guiding the user. Triggers on "analyze this...
Use the public toolbox scripts published from docs/tools via tool-runner.js. Covers listing tools, executing them safely with droid exec context, and required environment variables.
Create beautiful infographics based on the given text content. Use this when users request creating infographics.
帮助用户按照 astro-koharu 博客的规范创建新博文。自动生成正确的 frontmatter 结构、选择合适的分类路径，并提供 Markdown 内容框架建议。使用场景：写一篇博文、创建新文章、写文章、写博客、new post、create blog post。
Export and analyze VS Code Copilot chat logs for retrospective metrics. Extracts model usage, tool invocations, approval patterns, and timing data.
Simulate the UAT workflow (create PR, comment, poll) on GitHub or Azure DevOps using a minimal test artifact and simulated fixes.
Run a focused accessibility pass for website changes (WCAG 2.1 AA-oriented).
Calculate training costs for Tinker fine-tuning jobs. Use when estimating costs for Tinker LLM training, counting tokens in datasets, or comparing Tinker model training prices. Tokenizes datasets using the corr...
Fine-tune LLMs using the Tinker API. Covers supervised fine-tuning, reinforcement learning, LoRA training, vision-language models, and both high-level Cookbook patterns and low-level API usage.
Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.
Run OpenAI's Codex CLI agent in non-interactive mode using `codex exec`. Use when delegating coding tasks to Codex, running Codex in scripts/automation, or when needing a second agent to work on a task in paral...
Patterns for data loading, exploration, and statistical analysis
Patterns for data loading, exploration, and statistical analysis
Best practices for designing reproducible experiments
Best practices for designing reproducible experiments
Enforces baseline comparisons, cross-validation, interpretation, and leakage prevention for ML pipelines
Enforces baseline comparisons, cross-validation, interpretation, and leakage prevention for ML pipelines
Build features with AI coding tools (Claude Code, Lovable, Replit, Cursor). Use when implementing specs, iterating on AI code, or choosing tools. Focuses on tool selection, effective prompting, and iteration wo...
Track production app health and catch issues before users complain. Use after deploying, to check app status, or when investigating user reports. Covers error tracking, uptime monitoring, and metrics for non-te...
Protect your SaaS app from common vulnerabilities. Use when building auth, handling user data, or deploying features. Covers authentication, data protection, API security, and OWASP Top 10 for non-technical fou...
Optimize your SaaS app across four dimensions - Speed (page load, API response), Code (unused files, dead code), Database (orphaned data, schema hygiene), and Dependencies (package bloat, bundle size). Use when...
Turn ideas into clear, buildable specs for AI tools or stakeholder review. Use when starting features, planning projects, or when AI keeps building the wrong thing. Creates Quick Feature Specs (10-15 min) for i...
Fix bugs systematically instead of guessing. Use when features break, users report errors, or tests fail. Covers reproducing bugs, gathering diagnostic info, and working with AI tools to fix issues efficiently...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.