What problem does it solve?
It helps you determine the CCF level (A/B/C) and category/area for a conference or journal venue, reducing the time spent manually checking and cross-referencing ranking sources.
Core Features & Use Cases
- Venue rank lookup (conference/journal): Returns the CCF
type (conference or journal), rank (A/B/C), area, canonical venue name, and DBLP URL for a given abbreviation or full name.
- Year-partitioned reference dataset: Uses
references/<year>/rankings.json with references/<year>/excluded_venues.json to keep results aligned to a specific CCF edition/year.
- Batch and ambiguity handling: Supports filtering by
--type and --rank and surfaces top candidates when multiple matches are plausible.
Example use case: You need to confirm whether CVPR is CCF A or B for a particular year, and you want a reliable DBLP link to cite in a submission.
Quick Start
Ask the AI to run the skill by querying a venue, for example: "Look up the CCF rank and area for CVPR in 2026."