Find, evaluate, and download low-level common standard CAD parts from step.parts, such as screws, bolts, nuts, washers, bearings, standoffs, electronics parts, motors, connectors, and other off-the-shelf components. Use when Codex needs to search the hosted step.parts catalog, resolve fuzzy part names, standards, aliases, or dimensions, choose a matching part, fetch a canonical .step file, verify checksums, or use the step.parts API/OpenAPI/catalog endpoints for standard part discovery.
npx skills add https://github.com/earthtojake/step.parts --skill step-parts
Use the hosted step.parts machine endpoints instead of scraping HTML or relying on local repository files. Treat https://api.step.parts as the canonical API origin and https://www.step.parts as the site/static-asset origin unless the user provides a different hosted mirror. If the domain does not resolve or the API is unavailable, report that the hosted service is not reachable yet instead of falling back to repo-specific assumptions.
q for fuzzy tokens, standards, aliases, dimensions, source/product URLs, and attribute names/values.category, family, standard, or tag when the user gives an exact facet./v1/parts and inspect items, total, and facets.id, name, standard, and key attributes before choosing. If one result clearly matches, return the selected record details without downloading unless the user asked for a local STEP file.stepUrl, then verify the file with the record's sha256 when present.Use scripts/download_step_part.py for deterministic search, download, and checksum verification:
python skills/step-parts/scripts/download_step_part.py "M3 socket head 12" --download --out-dir /tmp/step-parts
python skills/step-parts/scripts/download_step_part.py --id iso4762_socket_head_cap_screw_m3x12 --download --out-dir /tmp/step-parts
python skills/step-parts/scripts/download_step_part.py "bearing 608zz" --limit 5
Useful options:
--origin: override https://api.step.parts only when the user provides another hosted API origin.--tag, --category, --family, --standard: repeatable facet filters.--out-dir: directory for downloaded STEP files. Defaults to /tmp/step-parts.--all: with --download, download every result on the returned page as individual STEP downloads.--overwrite: replace an existing output file.The script prints JSON to stdout. For searches, it prints matched records. For downloads, it prints saved file paths, checksums, and source URLs.
Read references/step-parts-api.md when you need endpoint details, field meanings, or query semantics. Prefer:
/v1/parts for filtered search with absolute asset URLs./v1/parts/{id} for one enriched record.stepUrl for STEP downloads./v1/catalog/parts.index.json for a compact discovery index./v1/catalog/schema for field and family attribute meanings./v1/openapi.json when generating a client or tool.M3 SHCS 12 before adding exact family and standard filters.tag, category, family, and standard fields are ANDed together. Use exact facets to narrow within known categories, then rank manually by name and attributes.ISO 4762, ISO4762, or the exact standard.designation.attributes object contains family-specific facts such as thread, lengthMm, bore1Mm, material, profileSeries, slotSizeMm, and dimensions in millimeters.https://www.step.parts; STEP URLs are environment-aware and may resolve to GitHub LFS media in production. Use catalog/API stepUrl for downloads.Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take earthtojake/step-parts from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.