SKILL RADAR · GITHUB
Useful agent skills, ranked by real adoption.
Browse verified skills from public repositories. Compare what each skill does, package contents, install activity, and source evidence before adding it to your agent.
- CATALOG SCOPE
- VERIFIED
- skills
- 10,772
- repositories
- 1711
- last synced
- Sep 23, 2026
nexscope-aiamazon-private-label
Private label launch playbook — product selection, branding, supplier management, differentiation strategy
- installs
- 1
- GitHub stars
- 663
- Updated
- Aug 26
nexscope-aiamazon-product-compliance
Product compliance and safety — certifications, labeling requirements, restricted substances, documentation
- installs
- 1
- GitHub stars
- 663
- Updated
- Aug 26
nexscope-aiamazon-rank-tracker
Amazon keyword rank tracking and performance analysis. Comprehensive ranking factor analysis, change diagnosis, improvement strategy development, and competitive position monitoring. Use when the user asks about keyword rankings, position tracking, ranking changes, or competitive analysis.
- installs
- 1
- GitHub stars
- 663
- Updated
- Aug 26
nexscope-aiamazon-repricing-strategy
Amazon repricing strategy and Buy Box optimization. Competitive pricing analysis, dynamic pricing rules, margin protection strategies, repricing tool selection, and automated pricing workflows. Use when the user asks about Amazon repricing, pricing strategy, Buy Box optimization, competitive pricing, or dynamic pricing.
- installs
- 1
- GitHub stars
- 663
- Updated
- Aug 26
nexscope-aiamazon-review-strategy
Review generation strategy — Request a Review, follow-up emails, insert cards, Vine, early reviewer programs
- installs
- 1
- GitHub stars
- 663
- Updated
- Aug 26
nexscope-aiamazon-search-optimization
Amazon search ranking optimization and A9 algorithm mastery. Comprehensive SEO strategy, indexing optimization, keyword ranking improvement, and search visibility enhancement. Use when the user asks about Amazon SEO, A9 algorithm, search ranking, or product discoverability.
- installs
- 1
- GitHub stars
- 663
- Updated
- Aug 26
nexscope-aiamazon-seasonal-planning
Seasonal sales calendar — Prime Day, Black Friday, Q4 prep, inventory planning, promotion scheduling
- installs
- 1
- GitHub stars
- 663
- Updated
- Aug 26
nexscope-aiamazon-shipping-calculator
Amazon FBA and FBM shipping cost calculator and fulfillment optimization. Dimensional weight analysis, storage fee calculation, removal cost estimation, and fulfillment method comparison. Use when the user asks about Amazon shipping costs, FBA fees, fulfillment costs, storage fees, or shipping calculations.
- installs
- 1
- GitHub stars
- 663
- Updated
- Aug 26
nexscope-aiamazon-storefront-design
Amazon Store builder — page layouts, brand story, shoppable images, traffic driving, conversion optimization
- installs
- 1
- GitHub stars
- 663
- Updated
- Aug 26
nexscope-aiamazon-subscribe-save
Subscribe & Save optimization — enrollment, discount tiers, frequency optimization, retention analysis
- installs
- 1
- GitHub stars
- 663
- Updated
- Aug 26
nexscope-aiamazon-trending-products
Trending products and rising categories discovery for Amazon sellers. Analyzes Best Seller Rank patterns, seasonal trends, new release momentum, and emerging niches. Identifies product opportunities before they peak. Use when the user asks about what's trending on Amazon, hot products, rising categories, seasonal opportunities, viral products, what to sell next, emerging niches, or early-mover opportunities. Also trigger for questions like 'what should I sell now?', 'what products are doing well?', 'find me trending niches', or 'what's hot on Amazon?'.
- installs
- 1
- GitHub stars
- 663
- Updated
- Aug 26
nexscope-aiamazon-variation-strategy
Parent-child variation planning — when to merge/split, color/size variations, ranking benefits
- installs
- 1
- GitHub stars
- 663
- Updated
- Aug 26
nexscope-aiamazon-wholesale-sourcing
Wholesale product sourcing — supplier discovery, negotiation, MOQ optimization, margin analysis
- installs
- 1
- GitHub stars
- 663
- Updated
- Aug 26
kangarookingbook-illustration-workflow
用于处理写书过程中的章节截图与插图工作流。适用于：梳理某一章需要哪些截图、逐步给出 Claude Code 实操提示词、规定截图文件名与图号映射、回填本地 Markdown 中的图片位置、清理作者备注为读者版正文、以及把章节和图片按正确位置同步到 Feishu 文档。用户如果提到“书的截图”“章节配图”“图号对应”“放到原文里”“上传飞书文档”“按刚才那套流程来”，应触发此 skill。
- installs
- 1
- GitHub stars
- 613
- Updated
- Sep 7
avdleeswift-testing-expert
Expert guidance for Swift Testing: test structure, expect/require macros, traits and tags, parameterized tests, test plans, parallel execution, async waiting patterns, and XCTest migration. Use when writing new Swift tests, modernizing XCTest suites, debugging flaky tests, or improving test quality and maintainability in Apple-platform or Swift server projects.
- installs
- 1
- GitHub stars
- 450
- Updated
- Aug 7
ailabs-393docker-containerization
This skill should be used when containerizing applications with Docker, creating Dockerfiles, docker-compose configurations, or deploying containers to various platforms. Ideal for Next.js, React, Node.js applications requiring containerization for development, production, or CI/CD pipelines. Use this skill when users need Docker configurations, multi-stage builds, container orchestration, or deployment to Kubernetes, ECS, Cloud Run, etc.
- installs
- 1
- GitHub stars
- 445
- Updated
- Nov 11
microsoftrubber-duck
High-signal feedback on plans, designs, implementations, and partial progress. Catches bugs, logic errors, and design flaws that may not be apparent to the original author. Call this skill for any non-trivial task to get a second opinion — the best time is after planning but before implementing. Call it early and often during development to course correct before problems compound. Will NOT comment on style, formatting, or trivial matters.
- installs
- 1
- GitHub stars
- 56
- Updated
- Aug 15
eyadkellehsecurity-fuzzing
Essential fuzzing payloads: SQL injection, command injection, special characters. Curated essentials for vulnerability testing.
- installs
- 1
- GitHub stars
- 383
- Updated
- Jun 8
eyadkellehsecurity-passwords
Top password lists for authorized security testing: common passwords, darkweb leaks, worst passwords. Curated essentials (<10MB).
- installs
- 1
- GitHub stars
- 383
- Updated
- Jun 8
eyadkellehsecurity-patterns
Sensitive data patterns for security testing: API keys, credit cards, emails, SSNs, phone numbers, IPs, and more. Use for data discovery and validation.
- installs
- 1
- GitHub stars
- 383
- Updated
- Jun 8
eyadkellehsecurity-payloads
Essential exploitation payloads: anti-virus test files, file name exploits, malicious files. Curated for testing.
- installs
- 1
- GitHub stars
- 383
- Updated
- Jun 8
eyadkellehsecurity-webshells
Web shell samples for detection and analysis: PHP, ASP, ASPX, JSP, Python, Perl shells. Use for security research and detection system testing.
- installs
- 1
- GitHub stars
- 383
- Updated
- Jun 8
giuseppe-trisciuogliodrizzle-orm-patterns
Provides comprehensive Drizzle ORM patterns for schema definition, CRUD operations, relations, queries, transactions, and migrations. Proactively use for any Drizzle ORM development including defining database schemas, writing type-safe queries, implementing relations, managing transactions, and setting up migrations with Drizzle Kit. Supports PostgreSQL, MySQL, SQLite, MSSQL, and CockroachDB.
- installs
- 1
- GitHub stars
- 345
- Updated
- Sep 10
senlindesigntaste
- Reverse-engineer the design taste of any website. Given a URL, captures DOM data and a screenshot via real browser, then runs a 4-step analysis to produce {domain}.md + {domain}.json with practical design tokens (colors, typography, spacing, radii, shadows, grid) AND taste DNA (Trigger → Decision → Reason → Evidence trade-offs explaining WHY the design works). Use whenever the user wants to extract a site's design system, study a competitor's visual language, port an aesthetic to a new project, or generate design guidance for an AI coding agent. Triggers on '/taste ', 'analyze the design of X', 'what makes X's site good', 'extract design tokens from X', 'give me X's design DNA', 'build something in the style of X', 'I want my app to feel like X'. Output rejects AI slop ('clean', 'modern', 'user-friendly') in favor of concrete px/hex values and restraint trade-offs. Do NOT use for scraping data, summarizing page content, or tasks unrelated to visual design.
- installs
- 1
- GitHub stars
- 340
- Updated
- Jul 7