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Found 2,772 Skills
Computational text analysis for sociology research using R or Python. Guides you through topic models, sentiment analysis, classification, and embeddings with systematic validation. Supports both traditional (LDA, STM) and neural (BERT, BERTopic) methods.
Markdown accessibility rule library covering ambiguous links, anchor validation, emoji handling (remove or translate to English), Mermaid and ASCII diagram replacement templates, heading structure, table descriptions, and severity scoring. Use when auditing or fixing markdown documentation for accessibility.
SendGrid platform help — transactional email via Email API (REST + SMTP), Marketing Campaigns (drag-and-drop editor, automations, A/B testing, signup forms, segmentation), Email Validation API, Dynamic Templates (Handlebars), Event Webhooks, Inbound Parse, domain authentication (SPF/DKIM/DMARC), dedicated IPs, suppressions, Design Library, email testing, statistics. Use when asking 'how do I do X in SendGrid', sending transactional email with SendGrid, setting up Marketing Campaigns, configuring Event Webhooks, managing SendGrid domain authentication, using Dynamic Templates, or troubleshooting SendGrid deliverability. Do NOT use for general email marketing strategy (use /sales-email-marketing), cross-platform email deliverability (use /sales-deliverability), or email open/click tracking strategy (use /sales-email-tracking).
Deploys agent skill collections from any GitHub repository with a /skills folder to one or more distribution surfaces: GitHub releases, Claude Code marketplace, VS Code plugin marketplace, and Copilot CLI plugin marketplace. Handles pre-flight validation, conventional commit analysis, version bumping across surface configs, and surface-specific publishing with dry-run support. Use when releasing, publishing, or deploying a skills collection to any supported marketplace or creating a GitHub release for a skills repository. Don't use for deploying non-skill packages, npm modules, Docker images, or Azure resources.
Add bot protection with Turnstile (CAPTCHA alternative). Use when: protecting forms, securing login/signup, preventing spam, migrating from reCAPTCHA, integrating with React/Next.js/Hono, implementing E2E tests, or debugging CSP errors, token validation failures, Chrome/Edge first-load issues, multiple widget rendering bugs, timeout-or-duplicate errors, or error codes 100*/106010/300*/600*.
Interact with Google's Gemini model via CLI. Use when needing a second opinion from another LLM, cross-validation, or leveraging Gemini's Google Search grounding. Supports multi-turn conversations with session management.
Use when building secure AI pipelines or hardening LLM integrations. Defense-in-depth implements 8 validation layers from edge to storage with no single point of failure.
Creates comprehensive disaster recovery procedures with automated backup scripts, restore procedures, validation checks, and role assignments. Use for "database backup", "disaster recovery", "data restore", or "DR planning".
Pragmatic patterns for building multiplayer games: matchmaking, tick loops, realtime state, interest management, and validation.
Create a new plugin for Claude Code marketplace with validation, ADR, and release automation. TRIGGERS - create plugin, new plugin, scaffold plugin, add plugin, plugin-dev create.
INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.