review
SkillDev toolsReview, either de-novo, or augment the review of an existing one. A list of deep research providers may be specified.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the review skill
What this skill tells your AI
The instructions your AI receives, as published by ai4curation/ai-gene-review in .claude/skills/review/SKILL.md and read by ahel’s review.
Review the gene specified in $ARGUMENTS.
- ORGANISM should typically be a uniprot species code (in a few cases we use lowercase GO names)
- GENE_SYMBOL should be the human readable gene symbol for that org
IMPORTANT: you MUST consult the annotation-reviewer.md subagent for this task.
Step 1: Ensure gene data is fetched
Run just fetch-gene ORGANISM GENE_SYMBOL if the gene directory doesn't exist yet.
Step 2: Run deep research AND publication caching in parallel
Publication caching only needs the GOA file (created by fetch-gene), so it can run concurrently with deep research. Launch both at the same time:
- Deep research: If the user specifies a deep research provider(s), use that provider(s),
otherwise default to falcon. Use
--fallback perplexity-liteso that if the primary provider times out, it automatically retries with perplexity-lite. E.g.just deep-research-falcon ORGANISM GENE_SYMBOL --fallback perplexity-lite - Publication caching:
just fetch-gene-pmids ORGANISM GENE_SYMBOL
Run these two steps in parallel (e.g. as concurrent background agents or shell jobs). Do NOT wait for deep research to finish before starting publication caching.
Step 3: Fetch additional data (bacterial organisms)
For bacterial organisms (e.g. PSEPK, ECOLI, SALTY, or any prokaryote), after deep research, also fetch FEBA/RB-TnSeq fitness data if available:
just fetch-fitness ORGANISM GENE_SYMBOL
This creates a GENE-fitness.md file with mutant fitness phenotypes and cofitness partners. The annotation-reviewer agent will use this data as additional evidence when reviewing annotations.
Step 4: Run annotation review
Invoke the annotation-reviewer subagent to systematically review all annotations.
Signals
- GitHub stars
- 24
- Forks
- 4
- Last commit
- Sep 2026
- Hacker News mentions
- 20
Advanced
- Catalog kind
- skill
- Gateway key
review-ai4curation- Source
- github.com/ai4curation/ai-gene-review