$ show VoltAgent/awesome-openclaw-skills
This repository is a curated directory/registry of 5,300+ community-built skills for OpenClaw, an AI agent platform. It is not a software application — it contains no runtime code, no API, and no executable logic. Instead, it is a structured catalog of markdown files organized into 30+ categories (DevOps, Search & Research, Coding Agents, etc.), where each entry links to a skill hosted on ClawHub (OpenClaw's public skills registry). The repo functions as a discovery and navigation layer: users browse categories to find skills, and contributors submit new skills via pull requests validated by a CI workflow. The repository also documents filtering criteria (excluding spam, duplicates, low-quality, crypto, and malicious entries), security considerations (VirusTotal scanning partnership), and contribution guidelines. While it shares some characteristics with a data_research repo (structured metadata, no application code), it is best classified as a curated content registry — the 'application' label applies only in the sense that it is not a data pipeline or research project. Key patterns include a consistent category taxonomy, a PR validation workflow, and documented quality gates. The main risks are link rot (5,300+ external links with no automated checking), quality variance across entries, and the manual effort required to maintain a list at this scale.
The LLM identified 3 files worth highlighting for reuse:
A consistent, alphabetized category listing format used across 30+ category files. Each file follows the same structure: a category title, a link to the main README section, and a bulleted list of skills with name, ClawHub link, and one-line description. This pattern is directly reusable for any project that needs to organize and present a large registry of external resources in a maintainable, browsable format.
A lightweight GitHub Actions workflow that validates pull request descriptions contain a ClawHub link. This enforces a minimum quality bar for contributions to a curated registry. The pattern is extractable to any project that wants to automate PR validation for content submissions without requiring a full test suite.
Documents a structured contribution workflow: skills must be published on ClawHub first, pass tests, avoid crypto/malicious content, and include a valid link. The filtering criteria (spam, duplicates, low quality, crypto, malicious) represent a reusable quality-gate pattern for community-curated registries.