Loading...
Loading...
Found 3,140 Skills
AI SDLC security testing workflow. Use when an AI assistant is asked for OWASP review, security testing, abuse-case analysis, authz/authn review, input validation review, secret exposure review, or security-focused validation of a diff, endpoint, workflow, or subsystem. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution.
Creates GitHub pull requests with properly formatted titles that pass the check-pr-title CI validation. Use when creating PRs, submitting changes for review, or when the user says /pr or asks to create a pull request.
Python data validation using type hints and runtime type checking with Pydantic v2's Rust-powered core for high-performance validation in FastAPI, Django, and configuration management.
Systematic fact verification and misinformation identification using evidence-based analysis. Use when: verifying claims, checking facts, identifying misinformation, evaluating source credibility, or when user asks to "fact check", "verify", "is this true", or mentions claims that need validation.
This skill should be used when the user asks to "generate documentation", "validate docs", "check doc coverage", "find missing docs", "create code-map", "sync documentation", "update docs", or needs guidance on documentation generation and validation for any repository type. Triggers: doc, documentation, code-map, doc coverage, validate docs.
This skill should be used when the user asks to "validate a plugin", "optimize plugin", "check plugin quality", "review plugin structure", or mentions plugin optimization and validation tasks.
Analyze propositions from multiple expert perspectives. Dynamically generates 4-6 relevant expert roles, then performs validation, comprehensive analysis, or debate-style examination. Use when user wants to examine ideas critically, find blindspots, or explore different viewpoints on a topic.
A professional tool for generating customized checklists for current features based on user requirements. Specifically designed for requirement quality validation, it creates "English-style unit tests" to verify the completeness, clarity, and consistency of requirements. Trigger words: speckit-checklist, checklist, requirements validation, quality check, quality review, spec review
Validate WCAG 2.1 compliance, screen reader compatibility, and Universal Design for Learning (UDL) principles implementation throughout curriculum materials. Use when checking accessibility, validating UDL, or ensuring compliance. Activates on "accessibility check", "WCAG validation", "UDL review", or "screen reader test".
Builds flexible API filtering and sorting systems with query parameter parsing, validation, and security. Use when implementing search endpoints, building data grids, or creating dynamic query APIs.
Security best practices for backend development, microservices, and secure coding patterns with emphasis on input validation and authentication
Workflows for generating terraform solution that are the composition of one or several Terraform IBM Modules (TIM). Use when working with IBM Cloud infrastructure as code, Terraform modules, infrastructure automation, or cloud resource provisioning. Provides workflows for module discovery, composition patterns, code generation, and validation. Essential for tasks involving IBM Cloud VPC, compute, networking, security, databases, observability, or any IBM Cloud service deployment. Triggers on keywords like "terraform", "IBM Cloud", "infrastructure", "IaC", "modules", "deploy", "provision", or specific IBM Cloud services (VPC, VSI, OpenShift, etc.).