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Found 5,131 Skills
Runbook Creator - Auto-activating skill for Technical Documentation. Triggers on: runbook creator, runbook creator Part of the Technical Documentation skill category.
Session Security Checker - Auto-activating skill for Security Fundamentals. Triggers on: session security checker, session security checker Part of the Security Fundamentals skill category.
Security Headers Generator - Auto-activating skill for Security Fundamentals. Triggers on: security headers generator, security headers generator Part of the Security Fundamentals skill category.
Service Account Manager - Auto-activating skill for GCP Skills. Triggers on: service account manager, service account manager Part of the GCP Skills skill category.
Sklearn Pipeline Builder - Auto-activating skill for ML Training. Triggers on: sklearn pipeline builder, sklearn pipeline builder Part of the ML Training skill category.
Route53 Record Manager - Auto-activating skill for AWS Skills. Triggers on: route53 record manager, route53 record manager Part of the AWS Skills skill category.
Sla Monitor Setup - Auto-activating skill for Enterprise Workflows. Triggers on: sla monitor setup, sla monitor setup Part of the Enterprise Workflows skill category.
Xss Vulnerability Scanner - Auto-activating skill for Security Fundamentals. Triggers on: xss vulnerability scanner, xss vulnerability scanner Part of the Security Fundamentals skill category.
Guide for using Shopify Polaris Icons in Shopify Apps. Covers icon usage patterns, accessibility, tone variants, and common icon categories for commerce applications.
Guide for understanding and contributing to the awesome-skills curated resource list. Use this skill when adding resources, organizing categories, or maintaining README.md consistency (no duplicates).
Audit an LLM eval pipeline and surface problems: missing error analysis, unvalidated judges, vanity metrics, etc. Use when inheriting an eval system, when unsure whether evals are trustworthy, or as a starting point when no eval infrastructure exists. Do NOT use when the goal is to build a new evaluator from scratch (use error-analysis, write-judge-prompt, or validate-evaluator instead).
Skill for creating custom lint rules by leveraging the existing linter ecosystems of various programming languages. This is a linter designed for AI Agents rather than humans, and its error messages function as correction instruction prompts for AI. Create custom rules in the `lints/` directory using standard methods for each language, including Rust (dylint), TypeScript/JavaScript (ESLint), Python (pylint), Go (golangci-lint), etc. Use this skill in the following scenarios: (1) When you want AI to enforce project-specific coding rules; (2) When you want to create lint rules that output AI-readable correction instructions when violations occur; (3) When you want to enforce naming conventions, structural patterns, and consistency rules through AI-driven linting. Triggers: "Create a linter rule", "Add a lint rule", "Enforce this pattern", "AI linter", "Custom lint", "Code rules", "Naming rules", "Structural rules", "create a linter rule", "add a lint rule", "enforce this pattern", "AI linter".