A Juejin technical guide explains how to implement SKILL packages as directories containing SKILL.md, scripts, and optional reference files. It describes a four-stage workflow of registration, matching, loading, and execution, in which only skill descriptions are initially registered and full instructions are loaded on demand. The author also reports failure modes observed with a 1.7B local model and recommends safeguards such as explicit tool ordering, duplicate-load tracking, path validation, execution timeouts, and output truncation.
A skill-pack developer found that a zero-dependency parser for SKILL.md frontmatter mishandled several valid YAML forms, including folded descriptions, single-quoted strings, trailing comments, and nested metadata keys. Compared with js-yaml 4.3.2 on Node 20.19.2, the parser could silently replace a skill’s trigger description with a nested value. Proposed changes explicitly reject multiline scalars, correctly handle quoted values and comments, ignore nested keys, and tighten metadata validation.
A Juejin article presents AI Skills as structured prompts and reusable work manuals that encode a specific workflow. It recommends assessing hidden dependencies, task alignment, and embedded assumptions before adapting a third-party Skill to your own business SOP and configuration. The article also includes a Python script that scans a SKILL.md file for hardcoded paths, package-manager assumptions, model bindings, and missing frontmatter.
What problem it solves
Engineers and inventors often have design documents and code but no structured way to identify patentable points, draft disclosure documents, or assemble application files. Public patent texts are also hard to read: claims are convoluted, terminology is dense, and the practical context is scattered across descriptions and drawings. The skill set addresses both sides of this …
What problem it solves
Learners need tutoring that can adapt across long-term study, use their own learning materials, and connect answers to sources. They also need a flexible environment for reading, practice, research, visualization, and other agent-assisted workflows without separating each activity from their learning history.
Key features
Personalized agent collaboration — The tutoring envir…
What problem it solves
Users need a way to discover and install plugins for Claude Code while understanding which plugins are maintained by Anthropic and which come from third parties. The directory also helps plugin authors follow a standard structure and marketplace naming requirements.
Key features
Curated Plugin Directory — The repository organizes plugins into internal Anthropic-maintained pl…
What problem it solves
Coding agents need reusable instructions for recurring tasks, but those instructions need to be discovered and installed for the coding agent in use. This project provides a CLI for finding, installing, using, creating, updating, and removing agent skills across supported coding agents.
Key features
Install and manage skills — Choose skills and coding agents during installat…
What problem it solves
AI coding agents need structured, reusable workflows to produce polished design, media, visual documentation, and knowledge-based results. The collection packages these workflows as Skills that can be installed and used across several SKILL.md-compatible agent environments.
Key features
Polished front-end design workflow — The web-design-engineer Skill guides agents through …
What problem it solves
Specialized tasks often require organization-specific guidance, reusable workflows, and supporting resources. This repository provides examples and reference implementations that teach Claude how to complete such tasks consistently.
Key features
Reusable skill structure — Each skill is self-contained in a folder with a `SKILL.md` file containing the instructions and metadata…
What problem it solves
Extracting business information from Google Maps requires collecting details such as contact information, websites, reviews, ratings, and coordinates for each place. The project addresses this workflow by providing command-line, browser, API, and self-hosted interfaces for collecting and exporting those records.
Key features
Multiple interfaces — Choose a command-line workfl…
What problem it solves
AI agents need structured access to crypto services spanning centralized and decentralized markets. The project provides reusable skills for tasks such as searching tokens, executing trades, tracking wallets, monitoring signals, and interacting with DeFi protocols through natural language.
Key features
Natural-language crypto access — Skills let AI agents search tokens, exec…
patent-disclosure-skill• Pinned
