Machine Learning

This skill generates a comprehensive index page for MicroSims in an intelligent textbook project. Use this skill when working with an MkDocs-based textbook that has MicroSims in a /docs/sims/ directory and needs an updated index page with screenshots, descriptions, and navigation. The skill captures missing screenshots, generates alphabetically-sorted grid cards using mkdocs-material format, and updates the mkdocs.yml navigation.

Creates or updates skills with proper YAML frontmatter, progressive disclosure, and best practices per the open Agent Skills specification. Supports simple, tool-restricted, multi-file, and script-based skills. Use when creating new skills, authoring skills, extending agent capabilities, or when `--create-skill` or `--new-skill` flag is mentioned.

Validates and reviews skills against the Agent Skills specification. Checks YAML syntax, naming conventions, description quality, file structure, and best practices. Provides improvement suggestions with before/after examples and optionally applies fixes. Use when validating skills, reviewing skill quality, checking skills before commit, or when `--check-skill`, `--validate-skill`, or `--review-skill` is mentioned.

Universal classification system for checker and fixer agents using orthogonal criticality (CRITICAL/HIGH/MEDIUM/LOW importance) and confidence (HIGH/MEDIUM/FALSE_POSITIVE certainty) dimensions. Covers priority matrix (P0-P4), execution order, dual-label pattern for verification status, standardized report format, and domain-specific examples. Essential for implementing checker/fixer agents and processing audit reports

Manages OpenAI Codex CLI configuration including config.toml settings, MCP servers, model profiles, sandbox modes, approval policies, and skill paths. Use when configuring Codex CLI, setting up model profiles, managing MCP server integrations, troubleshooting Codex configuration issues, or optimizing Codex for different workflows.

This skill generates interactive Causal Loop Diagram (CLD) MicroSims using the vis-network JavaScript library. Use this skill when users need to create causal loop diagrams for systems thinking education, showing feedback loops, reinforcing and balancing dynamics. The skill creates a complete MicroSim package with index.md, main.html, JavaScript, JSON data, and CSS files in the /docs/sims/ directory. This skill should be used when users request creating CLDs, causal diagrams, feedback loop visualizations, or systems thinking diagrams.

Guidelines for producing accurate and maintainable documentation for the Hex1b TUI library. Use when writing XML API documentation comments, creating end-user guides, or updating existing documentation.

Create an interactive educational MicroSim using the p5.js JavaScript library with distinct regions for drawing and interactive controls. Each MicroSim is a directory located in the /docs/sims folder. It has a main.html file that references the javascript code and the main.html can be referenced as an iframe from the index.md. The metadata.json contains Dublin core metadata about the MicroSim.

This skill generates interactive timeline visualizations using the vis-timeline JavaScript library. Use this skill when users need to create historical timelines, project timelines, event sequences, or any chronological data visualization with optional category filtering. The skill creates a complete MicroSim package with HTML, CSS, JSON data, and documentation.

Systematically bump package versions in pnpm monorepos by analyzing pnpm-lock.yaml, walking dependency trees, and finding the optimal parent package to upgrade. Use when the user asks to bump a package to meet a specific version requirement (e.g., "bump tmp to >=0.2.4", "upgrade package X to meet requirement Y", or "resolve version conflict for package Z"). Handles transitive dependencies and suggests overrides when needed.

Universal methodology for verifying factual correctness in documentation using WebSearch and WebFetch tools. Covers command syntax verification, version checking, code example validation, API correctness, confidence classification system ([Verified], [Error], [Outdated], [Unverified]), source prioritization, and update frequency rules. Essential for maintaining factual accuracy in technical documentation and educational content

Migrating OCaml projects from ocamlbuild/topkg to dune. Use when discussing _tags files, .mllib files, pkg/pkg.ml, topkg, or build system migration.

The model must apply when tasks involve .gitlab-ci.yml configuration, GitLab Flavored Markdown (GLFM) syntax, gitlab-ci-local testing, CI/CD pipeline optimization, GitLab CI Steps composition, Docker-in-Docker workflows, or GitLab documentation creation. Triggers include modifying pipelines, writing GitLab README/Wiki content, debugging CI jobs locally, implementing caching strategies, or configuring release workflows.

This skill provides comprehensive documentation for Hatchling, the modern Python build backend that implements PEP 517/518/621/660 standards. Use this skill when working with Hatchling configuration, build system setup, Python packaging, pyproject.toml configuration, project metadata, dependencies, entry points, build hooks, version management, wheel and sdist builds, package distribution, setuptools migration, and troubleshooting Hatchling build errors.

Create, validate, and manage Kubernetes and OpenShift YAML manifests. Use this skill when: (1) Creating any K8s/OCP resources: Deployments, StatefulSets, DaemonSets, Jobs, CronJobs, Pods (2) Creating networking resources: Services, Ingress, NetworkPolicies, OCP Routes (3) Creating config/storage: ConfigMaps, Secrets, PVCs, PVs, StorageClasses (4) Creating RBAC: ServiceAccounts, Roles, RoleBindings, ClusterRoles, ClusterRoleBindings (5) Creating OCP-specific: DeploymentConfigs, BuildConfigs, ImageStreams, SCCs, Templates (6) Validating or reviewing existing manifests for best practices (7) Converting between K8s and OCP resource types (8) Generating Helm charts or Kustomize overlays

Standards for OCaml project metadata files. Use when initializing a new OCaml library/module, preparing for opam release, setting up CI, or discussing project structure. Not for normal code edits.

Configure environment via mise [env] SSoT. TRIGGERS - mise env, mise.toml, environment variables, centralize config, Python venv, mise templates.

Generate browser-viewable HTML previews from markdown, plain text, and Mermaid diagrams. Auto-validates diagrams, applies professional styling, and opens in default browser. Use when agents need to preview documentation, visualizations, or formatted content.

Create an educational MicroSim using the vis-network JavaScript library. Each MicroSim is a directory located in the /docs/sims folder. It has a main.html file that can be referenced with an iframe. The main.html file imports the main JavaScript code to run the educational MicroSim.

Create new event scraping scripts for websites. Use when adding a new event source to the Asheville Event Feed. ALWAYS start by detecting the CMS/platform and trying known API endpoints first. Browser scraping is NOT supported (Vercel limitation). Handles API-based, HTML/JSON-LD, and hybrid patterns with comprehensive testing workflows.