Run AI-powered code reviews using Cubic CLI to detect bugs, security vulnerabilities, and style issues in local changes. Use when the user says "review my code," "check my changes for bugs," "run cubic review," "review this diff," "pre-commit check," "find issues before I push," "analyze my branch changes," or "code quality check." Triggers on mentions of cubic, code review, diff review, pre-commit checks, bug detection, and code quality validation.

Answer questions about the Mastra AI framework and help build agents, workflows, tools, memory, and RAG features. Use when developers: (1) ask about Mastra APIs like `Mastra`, `Agent`, `createWorkflow`, `createTool`, `createStep`, `Memory`, or run the `mastra` CLI; (2) wire up agents, workflows, or step-based orchestration; (3) integrate `@mastra/*` packages (`@mastra/core`, `@mastra/memory`, `@mastra/rag`, `@mastra/evals`, `@mastra/deployer`, `@mastra/server`, `@mastra/pg`, `@mastra/libsql`, `@mastra/mcp`); (4) debug TypeScript errors from Mastra APIs or model-router strings. Triggers on: "Mastra", "@mastra/core", "mastra agent", "mastra workflow", "createWorkflow", "createTool", "createStep", "mastra memory", "semantic recall", "mastra rag", "mastra deployer", "mastra evals", "mastra studio", "provider/model".

Triage an academic paper into a structured reference summary for the agentic-context research repo. Use when given an arxiv ID, arxiv URL, DOI, or paper PDF to assess context management relevance. Creates references/{slug}.md; adds REVIEWED.md entry and REFERENCE_INDEX.md row. Triggers: triage paper, add paper, analyse paper, arxiv, context window, prompt compression, token budget, token reduction, context injection, context summarisation, RAG injection, eviction policy, long context, LLM context, context overflow, tiered context, context pruning, sliding window, KV cache, attention sink, survey paper, benchmark paper, deep dive paper.

Triage a context management tool or library into a structured reference summary for the agentic-context research repo. Use when given a GitHub URL, npm package, PyPI package, CLI tool, MCP server, or library name to assess context management relevance. Creates references/{slug}.md with architecture overview and scope assessment; adds REVIEWED.md entry and REFERENCE_INDEX.md row. Triggers: triage tool, add tool, analyse tool, context window tool, prompt compression library, token budgeting cli, context injection framework, session lifecycle tool, MCP context server, context daemon, context sandbox, context vault, rolling summary tool, context compressor, eviction policy tool, context pruning library, token counter, sliding window manager.

Produce Metis Strategy whitepapers — thought leadership PDFs with a specific structure, visual style, and editorial voice. Use this skill whenever a user asks to create, draft, or structure a whitepaper, thought leadership paper, playbook, or long-form research report for Metis Strategy. Also trigger when the user mentions "whitepaper," "white paper," "playbook," "thought leadership piece," "long-form report," or asks to produce a publishable document that looks like existing Metis research. Output is a polished, print-ready PDF generated from HTML via Playwright — matching the look and feel of published Metis whitepapers. Do NOT use this skill for short reports, proposals, one-pagers, or presentations — use metis-brand-identity for those. Always use this skill for whitepaper requests, even if the user just says "write a whitepaper on X" without further specification.

Use when asked to review a MR/PR on GitHub or GitLab. Checks for XSS vulnerabilities, validates ARIA attributes and WCAG compliance, identifies render-blocking issues and race conditions, enforces semantic HTML. Produces actionable feedback.

Apply this skill when building error handling, error boundaries, logging, monitoring, or observability in a Next.js + TypeScript + Drizzle application. Triggers on requests like "handle errors", "add error boundary", "add logging", "add monitoring", "set up Sentry", "why is this failing silently", "add a 404 page", or any time you are building features that need to handle failure gracefully. Use proactively — every new feature should account for error states.

Comprehensive toolkit for generating best-practice Terragrunt configurations (HCL files) following current standards and conventions. Generates terragrunt.hcl files, root configurations, child modules, stacks, and environment setups; configures remote state backends, dependency blocks, include blocks, feature flags, exclude blocks, and errors blocks; supports DRY Terraform patterns, multi-environment layouts (dev/staging/prod), and OpenTofu engine integration. Use when creating new Terragrunt projects or resources, scaffolding multi-environment infrastructure, implementing DRY Terraform wrapper configurations, setting up terragrunt.hcl files with remote state or provider config, managing module dependencies, or building infrastructure modules with Terragrunt stacks.

Comprehensive toolkit for validating, optimizing, and understanding Prometheus Query Language (PromQL) queries. Use this skill when working with PromQL queries, prometheus queries, metrics queries, alerting rules, recording rules, or grafana dashboards to check syntax, detect anti-patterns, identify optimization opportunities, and interactively plan queries with users.

Generate GNU Make build systems that define build targets, configure dependencies, set up phony targets, and implement parallel builds. Use when creating make/Makefile/.mk files, implementing compile rules, or building production-ready build automation for C/C++, Go, Python, and Java projects.