aka. Agent Skills
Discover skills for AI coding agents. Works with Claude Code, OpenAI Codex, Gemini CLI, Cursor, and more.
Align architecture and team structure using inverse Conway maneuver
Apply systematic test case design techniques including equivalence partitioning, boundary value analysis, decision tables, and state transition testing.
Define team interfaces, contracts, and communication boundaries
Four fundamental team types and interaction modes from Team Topologies
Explains code, algorithms, system design using ASCII diagrams. Trigger phrases - "explain visually", "I don't get it", "show me", "ascii diagram", "help me understand". Produces diagram-first explanations ending with TL;DR tables.
PROACTIVE skill - Claude invokes automatically when user messages exhibit anti-patterns. Detects recursive nesting, scope creep, buried asks, assumed context, stream dumps, imprecise descriptions. Disable with "coach off" or "raw mode".
C4 model architecture visualization and documentation
Gets, checks, and verifies the current UTC date and time for unambiguous temporal reference. Use when starting tasks, verifying temporal context, ensuring date awareness before time-sensitive operations, or when incorrect date assumptions are detected.
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
AI governance and responsible AI planning including EU AI Act classification, NIST AI RMF, and AI ethics frameworks
GDPR compliance planning including lawful bases, data subject rights, DPIA, and implementation patterns
Use when implementing editorial workflows, approval chains, scheduled publishing, or role-based content permissions. Covers workflow states, transitions, notifications, and workflow APIs for headless CMS.
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
Creates and validates Azure Resource Manager (ARM) templates for infrastructure deployment. Use when creating ARM templates, deploying Azure infrastructure as code, or validating Azure templates.
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.
Comprehensive guide to GPG commit signing. Set up, configure, and troubleshoot GPG commit signing. Fix GPG signing errors, configure passphrase caching, verify commit signatures. Use when working with Git commit signing, GPG keys, commit verification, signature verification, GPG configuration, or when encountering GPG signing errors. Covers Windows (Gpg4win), macOS (GPG Suite), Linux (gnupg), and WSL installation and setup.
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.
Central authority for Gemini CLI sandboxing and isolation. Covers Docker, Podman, macOS Seatbelt profiles, and security boundaries. Use when enabling sandboxing, choosing sandbox methods, configuring Seatbelt profiles, or troubleshooting sandbox issues. Delegates 100% to gemini-cli-docs for official documentation.
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.
Choose optimal Next.js rendering strategy (SSR, SSG, ISR, CSR) based on content type, update frequency, and performance requirements. Use when deciding how to render pages, optimizing performance, or implementing data fetching. Trigger words include "rendering", "SSR", "SSG", "ISR", "static", "server-side".