aka. Agent Skills
Discover skills for AI coding agents. Works with Claude Code, OpenAI Codex, Gemini CLI, Cursor, and more.
This skill should be used when the user asks "how do I model my products?", "what attributes should I use?", "product vs variant attributes", "when to use dropdown vs multiselect", "how to structure my product types", "attribute type selection", "variant matrix design", "when to use Models vs Attributes", "how to create custom entities", "Categories vs Collections", "navigation structure", "Structures (Menus)", or needs guidance on designing their Saleor catalog. Provides decision frameworks for products, Models (Pages), Structures (Menus), Categories, and Collections.
Provides comprehensive guidance for transforming external product data into Saleor config.yml format. This skill should be invoked when the user needs to import products from CSV files, Excel spreadsheets, Shopify exports, or any external data source. Covers file format detection, column mapping strategies, variant grouping, and output validation.
Multi-persona stakeholder simulation for solo requirements work. Generates diverse perspectives from simulated End User, Technical, Business, Compliance, and Operations stakeholders when real stakeholders are unavailable.
Generates API documentation from code including OpenAPI specs, JSDoc, and Python docstrings. Use when documenting APIs, REST endpoints, or library functions.
Configures SSL/TLS certificates, implements secure protocols and ciphers, and sets up security headers. Use when setting up HTTPS, SSL certificates, TLS configuration, or web security hardening.
Single source of truth and librarian for ALL Claude official documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Claude documentation; discovering docs by keywords, category, tags, or natural language queries; scraping from sitemaps or docs maps; managing index metadata (keywords, tags, aliases); or rebuilding index from filesystem. Run scripts to scrape, find, and resolve documentation. Handles doc_id resolution, keyword search, natural language queries, category/tag filtering, alias resolution, sitemap.xml parsing, docs map processing, markdown subsection extraction for internal use, hash-based drift detection, and comprehensive index maintenance.
Meta-skill for improving and optimizing prompts using Anthropic's prompt engineering best practices. Provides the 4-step improvement workflow (example identification, initial draft, chain of thought refinement, example enhancement), keyword registries for documentation lookup, and decision trees for improvement strategies. Use when improving prompts, optimizing for accuracy, adding chain of thought reasoning, structuring with XML tags, enhancing examples, or iterating on prompt quality. Delegates to docs-management skill for official prompt engineering documentation.
Adaptive Python development guide with tiered complexity levels (Minimal/Standard/Full). Automatically selects appropriate guidance based on project context - from simple scripts (just clean Python code) to full production systems (complete tooling ecosystem). Covers modern conventions, testing, tooling, security, and best practices. Use when writing Python code, converting scripts, setting up projects, or building production systems. Keywords: PEP-8, Ruff, pytest, mypy, simple scripts, project structure, PyPI, packaging, type hints, clean code
Use when designing category hierarchies, tag systems, faceted classification, or vocabulary management for content organization. Covers flat vs hierarchical taxonomies, term relationships, multi-taxonomy content, and taxonomy APIs for headless CMS.
Operational runbook templates for incident response and procedures
Wardley Mapping for strategic positioning and situational awareness. Covers value chain mapping, evolution stages, landscape analysis, gameplay patterns, and strategic decision-making. Use for technology strategy, competitive analysis, and architectural investment decisions.
Analyzes Azure costs and provides optimization recommendations including reserved instances, rightsizing, and unused resources. Use when optimizing Azure spending or analyzing Azure costs.
Advanced GPG multi-key management strategies for consultants, CI/CD automation, and enterprise teams. Configure, set up, run, and execute multi-key GPG workflows. Use when managing multiple GPG keys (personal + automation, per-client keys, enterprise keys), configuring CI/CD commit signing, implementing per-client key isolation, using conditional Git includes, setting up automated signing, or scaling GPG key strategies beyond single-key setups.
Configures Google Cloud Build pipelines with caching, parallel builds, and optimization. Use when setting up Cloud Build, optimizing build performance, or configuring CI/CD pipelines.
Generates dbt tests including schema tests, data quality tests, and freshness checks. Use when adding tests to dbt models or implementing data quality validation.
Expert guide for executing the Google Gemini CLI in non-interactive and headless modes. Covers command syntax, piping input, output handling, and automation patterns. Use when running gemini commands, piping context to Gemini, scripting Gemini workflows, or using interactive shell mode. Delegates to gemini-cli-docs for official command references.
Synchronization patterns for CLAUDE.md and GEMINI.md memory files. Covers import syntax, drift detection, and one-way sync. Use when setting up GEMINI.md, detecting context drift between memory files, understanding @import syntax, or troubleshooting sync issues.
Create custom React Native native modules for iOS and Android. Use when integrating native SDKs, optimizing performance-critical code, or accessing platform-specific APIs. Trigger words include "native module", "bridge", "native code", "iOS bridge", "Android bridge", "Turbo Module".
Central authority for Claude-Gemini shared workspace architecture. Defines directory structure, artifact exchange, and file naming conventions. Use when setting up dual-CLI workflows, deciding where to store AI artifacts, or managing cross-CLI file exchange.
Developer environment setup guides for Windows, macOS, Linux, and WSL. Use when setting up development machines, installing tools, configuring environments, or following platform-specific setup guides. Covers package management, shell/terminal, code editors, AI tooling, containerization, databases, and more.