duruii/ccf-rank
skills/ccf-rank/SKILL.md
Query CCF (China Computer Federation) venue rankings for conferences and journals using year-partitioned reference data. Use when users ask for CCF level (A/B/C), category/domain, or rank verification for a venue abbreviation/full name (for example ICML, CVPR, TOCS), or request batch lookup/comparison across venues or years.
development
Updated May 29, 2026
$ install --global
skillsauthnpx skillsauth add duruii/scientific-skills ccf-rankInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- ccf-rank
- description:
- Query CCF (China Computer Federation) venue rankings for conferences and journals using year-partitioned reference data. Use when users ask for CCF level (A/B/C), category/domain, or rank verification for a venue abbreviation/full name (for example ICML, CVPR, TOCS), or request batch lookup/comparison across venues or years.
ccf-rank
Use this skill to answer CCF ranking questions quickly and consistently.
Data source
- Dataset index:
references/manifest.json - Year data:
references/<year>/rankings.json - Year exclusions:
references/<year>/excluded_venues.json
Query workflow
- Run the lookup script with Node.js (preferred for installable skill compatibility):
It uses the latest available year by default. Addnode scripts/query_ccf_rank.mjs "<venue name>"--year <YYYY>to query a specific year. - For ambiguous venue names, narrow by type/rank:
node scripts/query_ccf_rank.mjs "<query>" --year 2026 --type conference --rank A --top 20 - If user asks for several venues, run the script per venue and return a compact table with:
venue,type,rank,area,url. - If there are multiple high-score matches, show the top matches and explicitly ask user to disambiguate.
Output rules
- Always include
type(conferenceorjournal) andrank(A/B/C). - Include the CCF
areacategory when available. - Include the canonical venue name and DBLP URL from the dataset.
- If no confident match is found, say so explicitly and list closest candidates.
Update workflow (new CCF version)
- Replace the PDF file with the newer official CCF version.
- Rebuild one year dataset:
python scripts/build_ccf_dataset.py "/absolute/path/to/new.pdf" --year 2028 - Update
references/<year>/excluded_venues.jsonif the PDF has deleted entries that text extraction cannot reliably detect from styling. - Spot-check representative venues (for example
ICML,NeurIPS,CVPR,TOCS) usingquery_ccf_rank.mjs --year <year>.
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