Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
29,772 skills from 1,220 repositories · updated 16 minutes ago
29,770 skills
- modern-javascript-patternswshobson/agentsMaster ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, efficient JavaScript code. Use when refactoring legacy code, implementing modern patterns, or optimizing JavaScript applications.WritingNo warnings★ 41.6K↓ —
- lora-qlora-recipeswshobson/agentsConfigure LoRA and QLoRA supervised fine-tuning with current best-practice hyperparameters. Use when writing or reviewing a LoRA/QLoRA training configuration, choosing rank/alpha/target modules, or deciding between LoRA, QLoRA, and full fine-tuning.WritingNo warnings★ 41.6K↓ —
- pci-compliancewshobson/agentsImplement PCI DSS compliance requirements for secure handling of payment card data and payment systems. Use when securing payment processing, achieving PCI compliance, or implementing payment card security measures.LegalNo warnings★ 41.6K↓ —
- gitlab-ci-patternswshobson/agentsBuild GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.TestingNo warnings★ 41.6K↓ —
- snowflake-semanticviewgithub/awesome-copilotCreate, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and connection setup.DataNo warnings★ 40.4K↓ —
- research-grantsK-Dense-AI/scientific-agent-skillsSupports research proposal preparation and review for NSF, NIH, DOE, DARPA, and Taiwan NSTC, including opportunity-specific requirements, aims, review criteria, budgets, broader impacts, forms, and resubmissions. Use for investigator-authored grant development, compliance matrices, and proposal critiques.ScienceNo warnings★ 54.4K↓ —
- mvvm-toolkit-messengergithub/awesome-copilotCommunityToolkit.Mvvm Messenger pub/sub for decoupled communication between ViewModels (or any objects). Covers WeakReferenceMessenger vs StrongReferenceMessenger, IRecipient<TMessage>, RequestMessage<T> / AsyncRequestMessage<T> / CollectionRequestMessage<T>, ValueChangedMessage<T>, channels (tokens), and the ObservableRecipient activation lifecycle. Use across WPF, WinUI 3, .NET MAUI, Uno, and Avalonia.OtherNo warnings★ 40.4K↓ —
- accessibility-compliancewshobson/agentsImplement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA patterns, building for screen readers, or ensuring inclusive user experiences.LegalNo warnings★ 41.6K↓ —
- ot-icssickn33/agentic-awesome-skillsAuthorized OT/ICS security assessment: Purdue-model zoning review, PLC/SCADA exposure, industrial protocol discovery, and passive-first evaluation discipline.SecurityNo warnings★ 48.4K↓ —Also in 1 other repo
- context-mapgithub/awesome-copilotGenerate a map of all files relevant to a task before making changesProductivityNo warnings★ 40.4K↓ —
- brand-landingpagewshobson/agentsBrand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML. Use when the user asks to create, design, or build a landing page, homepage, or marketing page and has no established visual direction. Skip when they have a design mockup, need a dashboard or app UI, are working at component level, building a multi-page app, or restyling with known design tokens — use frontend-design instead.DevOpsNo warnings★ 41.6K↓ —
- spark-optimizationwshobson/agentsOptimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.EngineeringNo warnings★ 41.6K↓ —
- next-intl-add-languagegithub/awesome-copilotAdd new language to a Next.js + next-intl applicationOtherNo warnings★ 40.4K↓ —
- checkpoint-promotionwshobson/agentsGate fine-tuned checkpoints with drift budgets, paired comparison, and forgetting checks before promotion. Use after a training run produces a checkpoint, when deciding whether a tuned model ships, or when a promoted model needs re-gating against updated goldens.OtherNo warnings★ 41.6K↓ —
- python-resource-managementwshobson/agentsPython resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.EngineeringNo warnings★ 41.6K↓ —
- social-publishingwshobson/agentsSchedule and publish social media posts across 13 platforms (X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, Pinterest) via the SocialClaw API. Use when the user wants to publish, schedule, or manage social media content programmatically. Requires SOCIALCLAW_API_KEY.MarketingNo warnings★ 41.6K↓ —
- multi-stage-dockerfilegithub/awesome-copilotCreate optimized multi-stage Dockerfiles for any language or frameworkOtherNo warnings★ 40.4K↓ —
- visual-design-foundationswshobson/agentsApply typography, color theory, spacing systems, and iconography principles to create cohesive visual designs. Use when establishing design tokens, building style guides, or improving visual hierarchy and consistency.DesignNo warnings★ 41.6K↓ —
- data-storytellingwshobson/agentsTransform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.DataNo warnings★ 41.6K↓ —
- context-driven-developmentwshobson/agentsCreates and maintains project context artifacts (product.md, tech-stack.md, workflow.md, tracks.md) in a `conductor/` directory. Scaffolds new projects from scratch, extracts context from existing codebases, validates artifact consistency before implementation, and synchronizes documents as the project evolves. Use when setting up a project, creating or updating product docs, managing a tech stack file, defining development workflows, tracking work units, onboarding to an existing codebase, or running project scaffolding.ProductivityNo warnings★ 41.6K↓ —
- qdrant-model-migrationgithub/awesome-copilotGuides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update to a new model', 'zero-downtime model change', 'how to re-embed my data', or 'can I use two models at once'. Also use when upgrading model dimensions, switching providers, or A/B testing models.TestingNo warnings★ 40.4K↓ —
- temporal-python-testingwshobson/agentsTest Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.TestingNo warnings★ 41.6K↓ —
- terraform-module-librarywshobson/agentsBuild reusable Terraform modules for AWS, Azure, GCP, and OCI infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.DevOpsNo warnings★ 41.6K↓ —
- python-code-stylewshobson/agentsPython code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.EngineeringNo warnings★ 41.6K↓ —
vaex
K-Dense-AI/scientific-agent-skills
DataUpdated 5 days ago
From the author
Processes large tabular scientific datasets with Vaex expressions, filtered views, streamed statistics, binned visualizations, and file conversion. Use for larger-than-RAM HDF5, Arrow, CSV, or Parquet analysis, virtual feature engineering, or Vaex ML preprocessing; distinguishes these operations from estimators and conversions that materialize data.
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill vaex -a claude-code
Installs to .claude/skills/vaex/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyUses the networkLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 95
Security100
Provenance95
Maintenance100
Licence100
Adoption73
Files (8)
- SKILL.md
- references/core_dataframes.md
- references/data_processing.md
- references/io_operations.md
- references/machine_learning.md
- references/performance.md
- references/review.md
- references/visualization.md