Engineering skills for Claude Code: Terraform/IaC, FastAPI, MCP server development, modern Python, and scientific exploratory data analysis.
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.
Use when building FastAPI applications, async Python REST APIs, Pydantic V2 schemas, SQLAlchemy async database operations, JWT/OAuth2 authentication, async pytest testing, RFC 9457 error handling, cursor pagination, or API versioning strategies.
Use when building, debugging, or extending MCP servers or clients that connect AI systems with external tools and data sources. Invoke to implement tool handlers, configure resource providers, set up stdio/Streamable HTTP transport, validate schemas with Zod or Pydantic, debug protocol compliance issues, or scaffold complete MCP server/client projects using TypeScript or Python SDKs.
Use when building Python applications requiring type safety, async programming, or robust error handling. Invoke for type hints, PEP 695 generics, async/await with TaskGroup, dataclasses, Pydantic v2, uv packaging, and structured error handling.
Use when implementing infrastructure as code with Terraform on Azure. Invoke for module development (create reusable modules, manage module versioning), state management (Azure Blob backend, import existing resources, resolve state conflicts), provider configuration, multi-environment workflows, and infrastructure testing.
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A Claude Code plugin marketplace of engineering skills, built on the open Agent Skills standard - so the same skills work in Claude Code, GitHub Copilot CLI, and other compatible agents.
/plugin marketplace add corticalstack/engineering
/plugin install engineering@engineering
Restart Claude Code. The skills then appear in autocomplete as /engineering:<name> (e.g. /engineering:terraform-engineer).
The skills live in .claude/skills/, which Copilot CLI reads. Install them with the gh skill command (GitHub CLI v2.90.0+):
# all skills from this repo, available everywhere (user scope):
gh skill install corticalstack/engineering --agent github-copilot --scope user
# or just one skill:
gh skill install corticalstack/engineering terraform-engineer --agent github-copilot --scope user
In a Copilot CLI session: reload with /skills reload, confirm with /skills info terraform-engineer, then invoke by name, e.g. "Use the /terraform-engineer skill to refactor this module."
gh skill also accepts --agent claude-code, cursor, gemini-cli, codex, and many others, so the same repo serves any Agent-Skills-compatible tool. (Alternatively, copy a skill's folder into your project .claude/skills/ or personal ~/.copilot/skills/ and run /skills reload.)
Repository scaffolding (manifests, README) is MIT. Individual skills retain their own licenses: all five are MIT (exploratory-data-analysis is authored by K-Dense Inc.).
npx claudepluginhub corticalstack/engineering --plugin engineeringA cross-tool agentic-coding workflow toolkit: 11 workflow skills (research / plan / implement / validate / commit / describe-pr / handle-pr-feedback / handoffs), an optional cross-vendor code-review skill, an LLM-as-judge evaluation skill, and a tracker abstraction (GitHub Issues, Azure DevOps work items, ...). Built on the Agent Skills open standard so the same files work in Claude Code and GitHub Copilot CLI.
Thinking and reasoning skills for Claude Code: multi-perspective deliberation, scientific brainstorming, and context-engineering fundamentals.
Writing and content-creation skills for Claude Code: changelog generation, research-backed content writing, and AI-writing humanization.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review