wayback-submit
Submit a URL to the Wayback Machine for archiving. Use when the user wants to archive a webpage, save a page to the Internet Archive, preserve a URL, or create a snapshot.
Browse published AI skills maintained by Mearman. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
32Repository stars across indexed skills
64Repository forks
0Average repository stars per indexed skill
2Repository stars may repeat across skills from the same repository.
Submit a URL to the Wayback Machine for archiving. Use when the user wants to archive a webpage, save a page to the Internet Archive, preserve a URL, or create a snapshot.
Find the most recent archived version of a URL from the Wayback Machine. Use when the user wants to see the latest capture, newest archive, or current version of a webpage.
Find the earliest archived version of a URL from the Wayback Machine. Use when the user wants to see the first capture, oldest archive, or original version of a webpage.
Analyze Wayback Machine capture frequency and rate for a URL. Use when the user wants to see how often a URL is archived, capture statistics, or archive density over time.
Show the archive time span for a URL from the Wayback Machine. Use when the user wants to see both the oldest and newest captures, the archive range, or how long a URL has been archived.
Validate that a JSON Schema is well-formed and conforms to the JSON Schema specification. Use when the user asks to check if a schema is valid, verify schema syntax, validate schema structure, or check a JSON S...
Validate JSON data against a JSON Schema. Use when the user asks to validate JSON against a schema, check if JSON conforms to a schema, test JSON data validity, or verify JSON structure matches a schema definit...
Validate a JSON file against the schema referenced in its $schema property. Use when the user asks to check JSON against its own schema, validate self-describing JSON, auto-validate JSON files, or verify JSON w...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.