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Research standards/patterns via MCP Ref. Generates Standards Research for Story Technical Notes subsection. Reusable worker.

This skill guides writing Infrastructure as Code using OpenTofu (open-source Terraform fork). Use when creating .tf files, managing cloud infrastructure, configuring providers, or designing reusable modules.

Maintain README files with setup instructions, features, tech stack, and usage examples. Use when updating project documentation, adding new features, or improving onboarding.

Guidance for optimizing numerical linear algebra computations, particularly finding eigenvalues of small dense matrices faster than standard library implementations. This skill applies when the task involves performance optimization of matrix operations, beating numpy/scipy performance baselines, or writing high-performance numerical code with Cython/LAPACK.

This skill provides guidance for creating polyglot files that are valid in both C and Python. It should be used when tasks require writing code that compiles and runs correctly as both a C program and a Python script, producing identical or specified output from each interpreter/compiler.

Generate or update component documentation with usage examples, props tables, and Storybook stories. Use when documenting new components or improving existing component docs.

Guidance for creating polyglot source files that compile and run correctly as both Rust and C or C++. This skill applies when tasks require writing code that is valid in multiple languages simultaneously, exploiting comment syntax differences or preprocessor directives to create dual-language source files. Use this skill for polyglot programming challenges, CTF tasks, or educational exercises involving multi-language source compatibility.

Capture solved problems as categorized documentation with YAML frontmatter for fast lookup

Builds interactive HTML presentation with 6 tabs (Overview, Requirements, Architecture/C4, Tech Spec, Roadmap, Guides). Creates presentation/README.md hub. L2 Worker under ln-100-documents-pipeline.

Coordinates project documentation creation. Gathers context once, detects project type, delegates to 5 L3 workers (ln-111-115). L2 Coordinator invoked by ln-100.

Run automated post-release workflow (eval baselines, dashboard, docs) for AILANG releases. Executes 46-benchmark suite (medium/hard/stretch) + full standard eval with validation and progress reporting. Use when user says "post-release tasks for vX.X.X" or "update dashboard". Fully autonomous with pre-flight checks.

This skill guides writing cloud-init configurations for VM provisioning. Use when creating user_data blocks in Terraform/OpenTofu, or cloud-init YAML for AWS, DigitalOcean, GCP, or Azure instances.

Use when writing or changing tests, adding mocks - prevents testing mock behavior, production pollution with test-only methods, and mocking without understanding dependencies

Research and analysis skill for in-depth technical investigation.Use when: analyzing technical problems, exploring solutions, investigating issues, comparing technologies, understanding root causes.Keywords: research, analyze, investigate, technical problem, comparison, evaluation, deep dive, root cause analysis.This is the optional first step of the spec-driven development workflow, before create-prd.

This skill guides writing DigitalOcean infrastructure with OpenTofu/Terraform. Use when provisioning Droplets, VPCs, Managed Databases, Firewalls, or other DO resources.

Creates 3 core project docs (requirements.md, architecture.md, tech_stack.md). L3 Worker invoked by ln-110-project-docs-coordinator. ALWAYS created.

Comprehensive testing strategies with Vitest, React Testing Library, and Jest. Use when writing tests for React components, hooks, and integration testing.

Sync AILANG documentation website with codebase reality. Use after releases, when features are implemented, or when website accuracy is questioned. Checks design docs vs website, validates examples, updates feature status.

Use when defining new features, gathering requirements, or writing specifications. Invoke for feature definition, requirements gathering, user stories, EARS format specs. Keywords: requirements, specifications, user stories, EARS, feature planning.

Comprehensive documentation generation through automated codebase analysis, pattern detection, and diagram creation.