Total 46,618 skills
Showing 12 of 46618 skills
Guide spec-driven feature development using a structured three-phase workflow: Requirements → Design → Tasks. Use this skill whenever the user wants to plan a feature, write a spec, or do structured design before coding. Trigger on phrases like "let's spec this out", "write a specification" or "help me think through this feature".
Secure GitHub Actions to AWS authentication using OIDC without long-lived credentials. CRITICAL PATTERN. Apply when setting up CI/CD pipelines that deploy to AWS.
Create and launch benchmark test projects to exercise vercel-plugin skill injection across realistic scenarios. Sets up isolated directories, installs the plugin, and spawns WezTerm panes running Claude Code with crafted prompts.
Hypothesis → Prediction → Test → Revise with explicit falsification. Use for debugging, feature experimentation, performance investigation, and A/B testing design.
Structured logging strategy including log levels, correlation IDs, context propagation, and PII avoidance. Use when designing logging, reviewing log statements, or setting up log aggregation.
Create and manage Infrahub Generators. Use when building design-driven automation that creates infrastructure objects from templates, topology definitions, or any design-to-implementation workflow in Infrahub.
Create and manage Infrahub custom menus. Use when designing navigation menus, organizing node types in the UI, or customizing the Infrahub web interface sidebar.
Shared references and cross-cutting rules used by all Infrahub skills. Contains GraphQL query syntax, .infrahub.yml configuration format, and common rules for git integration, display label caching, and Python environment setup. DO NOT TRIGGER directly — loaded automatically by other Infrahub skills when they need shared references.
Create and manage Infrahub transforms. Use when building data transformations, config generation, or any workflow that converts Infrahub data into a different format (JSON, text, CSV, device configs) using Python or Jinja2 templates.
[QwenCloud] Understand images and videos with Qwen vision models. TRIGGER when: user wants to analyze, describe, or extract information from images or videos, OCR text extraction, chart/table reading, visual reasoning, multi-image comparison, screenshot understanding, video comprehension, or explicitly invokes this skill by name (e.g. use qwencloud-vision). DO NOT TRIGGER when: user wants to generate/create images (use qwencloud-image-generation), generate videos (use qwencloud-video-generation), text-only tasks without visual input, or non-Qwen vision tasks.
Create, validate, and modify Infrahub schemas. Use when designing data models, creating schema nodes with attributes and relationships, validating schema definitions, or planning schema migrations for Infrahub.
Audit an Infrahub repository against all best practices and rules. Use when reviewing a project for compliance, onboarding to an existing repo, or before deployment to catch issues early.