All Skills

[AUTO-INVOKE] MUST be invoked BEFORE writing or modifying any Solidity contract (.sol files). Covers pragma version, naming conventions, project layout, OpenZeppelin library selection standards, oracle integration, and anti-patterns. Trigger: any task involving creating, editing, or reviewing .sol source files.

Sprint Board atomic operations: add Story, update Task, archive completed Stories

Google Search Console indexing assistant. Use when the user wants to track page indexing status, compare sitemap against GSC indexed pages, manage submission tracking, or move false positives (pages indexed per URL Inspection but not yet in GSC export) to the indexed list. Maintains two tracking files (indexed.md, to-index.md) with prioritization support.

Common testing mistakes to avoid for reliable, maintainable tests

Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.

Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.

Reviews draft tweets and provides engagement optimization recommendations with improved alternatives. Use when the user has a draft tweet or thread and wants feedback on how to maximize reach, replies, and engagement on Twitter/X. Primarily niche-agnostic with additional guidance for tech Twitter.

Adaptive brainstorming-style dialogue for all spec phases (Understand, Propose Approaches, Confirm & Store)

Tail logs from Docker containers to check for errors and monitor application behavior; keywords: docker, error. Use only on explicit request; skip in routine implementation discussions.

Testing machine learning models including accuracy validation, bias detection, drift monitoring, A/B testing, and model regression testing.

REQUIRED for all image generation requests. Generate and edit images using Nano Banana (Gemini CLI). Handles blog featured images, YouTube thumbnails, icons, diagrams, patterns, illustrations, photos, visual assets, graphics, artwork, pictures. Use this skill whenever the user asks to create, generate, make, draw, design, or edit any image or visual content.

Get best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven tests

Guides unit testing for Python DDD + Onion Architecture apps (Domain Entities/Value Objects and UseCases) using pytest and repository mocks, based on the dddpy reference. Use when adding tests, choosing what to mock, or structuring test folders for a DDD FastAPI project.

Evaluates and sharpens content hooks using The Hook Stack™ framework. Use when scoring headlines, refining hooks for video/social/newsletter, or when asked to "evaluate this hook", "run through hook stack", or "score my headline".

Get best practices for NUnit unit testing, including data-driven tests

Configures ESLint, Prettier, Ruff, mypy, and .NET analyzers

Execute work units through the rigorous 4-phase Metaswarm cycle (Implement -> Validate -> Adversarial Review -> Commit) with independent quality gate enforcement.

Audience intelligence analyst for deriving segmentation, persona profiles, and decision-journey insights from brand and product context. Use when users request market targeting, buyer persona definition, or messaging-angle analysis.

Use when the user needs detailed hcloud CLI reference documentation beyond what the focused skills provide, or when looking up obscure commands, flags, or advanced usage patterns. This skill provides an index to the full bundled reference manual.

Token-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find functions, or explore a codebase efficiently.

Manage issues, projects & team workflows in Linear. Use when the user wants to read, create or updates tickets in Linear.

Ensure .NET/C# code meets best practices for the solution/project.

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.

Get best practices for TUnit unit testing, including data-driven tests