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Found 183 Skills
Modern Python development with uv, ruff, mypy, and pytest. Use when: - Writing or reviewing Python code - Setting up Python projects or pyproject.toml - Choosing dependency management (uv, poetry, pip) - Configuring linting, formatting, or type checking - Organizing Python packages Keywords: Python, pyproject.toml, uv, ruff, mypy, pytest, type hints, virtual environment, lockfile, package structure
Run linting and formatting checks. Use when user asks to "run linter", "/lint", "check linting", "fix lint errors", or requests code linting/formatting.
Comprehensive toolkit for validating, linting, testing, and automating Jenkinsfile pipelines (both Declarative and Scripted). Use this skill when working with Jenkins pipeline files, validating pipeline syntax, checking best practices, debugging pipeline issues, or working with custom plugins.
Knowledge base for designing, reviewing, and linting agentic AI infrastructure. Use when: (1) designing a new agentic system and need to choose patterns, (2) reviewing an existing agentic architecture ADR or design doc for gaps/risks, (3) applying the lint script to an ADR markdown file to get structured findings, (4) looking up a specific agentic pattern (prompt chaining, routing, parallelization, reflection, tool use, planning, multi-agent collaboration, memory management, learning/adaptation, MCP, goal setting, exception handling, HITL, RAG, A2A, resource optimization, reasoning techniques, guardrails, evaluation, prioritization, exploration/discovery). All rules and guidance are grounded in the PDF "Agentic Design Patterns" (482 pages).
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.
Write AST-based code search and rewrite rules using ast-grep YAML. Create linting rules, code modernizations, and API migrations with auto-fix. Use when the user mentions ast-grep, tree-sitter patterns, code search rules, lint rules with YAML, AST matching, or code refactoring patterns.
Python linting with Ruff - an extremely fast linter written in Rust. Use when: (1) Standardizing code quality, (2) Fixing style warnings, (3) Enforcing rules in CI, (4) Replacing flake8/isort/pyupgrade/autoflake, (5) Configuring lint rules and suppressions.
Comprehensive markdown linting guidance using markdownlint-cli2. Run, execute, check, and validate markdown files. Fix linting errors (MD0XX rules). Configure .markdownlint-cli2.jsonc (rules and ignores). Set up VS Code extension and GitHub Actions workflows. Supports markdown flavors including GitHub Flavored Markdown (GFM) and CommonMark. Use when working with markdown files, encountering validation errors, configuring markdownlint, setting up linting workflows, troubleshooting linting issues, establishing markdown quality standards, or configuring flavor-specific rules for tables, task lists, and strikethrough.
Effective code search, analysis, and refactoring using ast-grep (sg). Use this skill for precise AST-based code modifications, structural search, and linting.
Professional-grade Python development with Ruff (v0.14.10) - an extremely fast Python linter and formatter. Use when working with Python codebases for (1) linting and fixing code quality issues, (2) formatting Python code, (3) configuring Ruff settings, (4) understanding and resolving specific rule violations, (5) integrating Ruff into projects or editors, (6) migrating from other tools (Black, Flake8, isort, etc.), or (7) any Ruff-related development tasks. Includes complete documentation for 937+ lint rules, formatter settings, configuration options, and editor integrations.
Comprehensive toolkit for validating, linting, testing, and analyzing Helm charts and their rendered Kubernetes resources. Use this skill when working with Helm charts, validating templates, debugging chart issues, working with Custom Resource Definitions (CRDs) that require documentation lookup, or checking Helm best practices.
Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.