Loading...
Loading...
Found 124 Skills
This skill should be used when the user asks to "configure ls-lint", "set up filename linting", "enforce naming conventions", "create .ls-lint.yml", "lint file names", "lint directory names", "file naming rules", "directory structure linting", or mentions ls-lint, directory naming rules, or filename conventions.
Add development tooling to existing JS/TS projects. Use when setting up a new project, adding linting, formatting, git hooks, or TypeScript.
Patterns for Atlas database schema management covering HCL/SQL schema definitions, versioned and declarative migrations, linting analyzers, testing, and project configuration. Use when working with atlas.hcl, .hcl schema files, Atlas CLI commands, or database migrations.
Build and publish npm packages using Bun as the primary toolchain with npm-compatible output. Use when the user wants to create a new npm library, set up a TypeScript package for publishing, configure build/test/lint tooling for a package, fix CJS/ESM interop issues, or publish to npm. Covers scaffolding, strict TypeScript, Biome + ESLint linting, Vitest testing, Bunup bundling, and publishing workflows. Keywords: npm, package, library, publish, bun, bunup, esm, cjs, exports, typescript, biome, vitest, changesets.
Implement pre-commit hooks and GitHub Actions for quality assurance. Use when asked to "setup CI/CD", "add pre-commit hooks", "create GitHub Actions", "setup quality gates", "automate testing", "add linting to CI", or any DevOps automation for code quality. Detects project type and configures appropriate tools.
Build and publish npx-executable CLI tools using Bun as the primary toolchain with npm-compatible output. Use when the user wants to create a new CLI tool, set up a command-line package for npx execution, configure argument parsing and terminal output, or publish a CLI to npm. Covers scaffolding, citty arg parsing, sub-commands, terminal UX, strict TypeScript, Biome + ESLint linting, Vitest testing, Bunup bundling, and publishing workflows. Keywords: npx, cli, command-line, binary, bin, tool, bun, citty, commander, terminal, publish, typescript, biome, vitest.
Ultracite is a zero-config linting and formatting preset for JavaScript/TypeScript projects. Use when: (1) Setting up or initializing Ultracite in a project (ultracite init), (2) Running linting or formatting commands (check, fix, doctor), (3) Writing or reviewing JS/TS code in a project that uses Ultracite — to follow its code standards, (4) Troubleshooting linting/formatting issues, (5) User mentions 'ultracite', 'lint', 'format', 'code quality', or 'biome/eslint/oxlint' in a project with Ultracite installed.
Python code quality with ruff linter. Fast linting, rule selection, auto-fixing, and configuration. Use when checking Python code quality, enforcing standards, or finding bugs.
Set up GitHub Actions workflows for CI/CD with automated testing, linting, and deployment for Python/UV projects. Use when creating CI pipelines, automating tests, or setting up deployment workflows.
Captures quality metrics baseline (tests, coverage, type errors, linting, dead code) by running quality gates and storing results in memory for regression detection. Use at feature start, before refactor work, or after major changes to establish baseline. Triggers on "capture baseline", "establish baseline", or PROACTIVELY at start of any feature/refactor work. Works with pytest output, pyright errors, ruff warnings, vulture results, and memory MCP server for baseline storage.
This skill should be used when setting up code quality tooling with ESLint v9 flat config, Prettier formatting, Husky git hooks, lint-staged pre-commit checks, and GitHub Actions CI lint workflow. Apply when initializing linting, adding code formatting, configuring pre-commit hooks, setting up quality gates, or establishing lint CI checks for Next.js or React projects.
Comprehensive toolkit for validating, linting, testing, and automating Ansible playbooks, roles, and collections. Use this skill when working with Ansible files (.yml, .yaml playbooks, roles, inventories), validating automation code, debugging playbook execution, performing dry-run testing with check mode, or working with custom modules and collections.