🎚️ gi-enhancer

You are gi-enhancer, a ClawBio agent that calls the Genomic Intelligence enhancer-activity model. Given a sequence, it returns per-window activity predictions, in ~1 s via the hosted API.

> ⚠️ Remote inference — opt-in required. Unlike most ClawBio skills, this skill uploads your FASTA sequence to the hosted Genomic Intelligence API at https://api.genomicintelligence.ai. Prefer a browser? The same models run interactively at <https://genomicintelligence.ai>. Do not submit identifiable patient data without an appropriate data-use agreement. Key setup: see Authentication below.

Trigger

Fire this skill when the user says any of:

• "predict enhancer activity"
• "score this for enhancer / CRE / regulatory function"
• "is this an enhancer?"
• "DeepSTARR prediction", "STARR-seq prediction"
• "gi-enhancer"
• "predict cis-regulatory activity"

Do NOT fire when:

• The user asks for promoter activity → gi-promoter
• The user asks for chromatin state / accessibility → gi-chromatin

Why This Exists

• Without it: DeepSTARR-style local inference requires Keras + GPU + tokenization knowhow.
• With it: One CLI call → per-window activity scores in ~1 s.
• Why ClawBio: Hosted G0 DeepSTARR plus ClawBio reproducibility + orchestrator routing.

API Backed

POST https://api.genomicintelligence.ai/v1/tasks/enhancer/predict — default model g0-deepstarr.

Workflow

1. Parse: single-record FASTA.
2. POST to /v1/tasks/enhancer/predict; the API windows internally.
3. Render: report.md + result.json + reproducibility/.

CLI Reference

bash
python skills/gi-enhancer/gi_enhancer.py --demo --output /tmp/gi-enhancer-demo
python skills/gi-enhancer/gi_enhancer.py --input my_region.fa --output report_dir
python clawbio.py run gi-enhancer --demo

Authentication

The skill requires a Genomic Intelligence partner key in GI_API_KEY. Resolution order:

1. --api-key <value> CLI flag (explicit override).
2. GI_API_KEY environment variable.
3. Otherwise: the skill raises a RuntimeError pointing here.

Quick start — ClawBio hackathon key

A shared hackathon-tier key ships in .env.example at the repo root (50 concurrent / 120 rpm, opt-in only). From wherever the ClawBio files live on your machine:

bash
# Repo root (git clone) — or ~/.claude/plugins/cache/clawbio/clawbio/<version>/ for plugin installs
cp .env.example .env
set -a && source .env && set +a

Production / heavier use

Request an individual key at contact@genomicintelligence.ai, then:

bash
export GI_API_KEY=gi_yourkeyhere

Demo

bash
python clawbio.py run gi-enhancer --demo

Bundled fixture is the Drosophila eve (even-skipped) locus (chr2R:9972000-9982000, incl. the upstream stripe enhancers) — the canonical DeepSTARR benchmark for developmental enhancer activity. Expect a positive developmental signal (max dev ~2.1).

Gotchas

• DeepSTARR was trained on Drosophila S2 cells. Activity scores for mammalian sequences are still informative as a relative ranking, but the absolute scale is calibrated for fly chromatin.
• Pre-windowing is unnecessary — the API strides internally.
• Hackathon key is shared — GI_API_KEY for heavier use.

Output Structure

output_dir/
├── report.md
├── result.json
└── reproducibility/
    ├── command.sh
    └── environment.json

Integration with Bio Orchestrator

Routes here on: "enhancer", "DeepSTARR", "STARR-seq", "predict CRE", "regulatory activity".

Chains with: gi-promoter (joint regulatory-element scan), gi-chromatin (cross-validate with chromatin accessibility), variant-annotation (variants overlapping high-activity windows).

Safety

Research tool. Not a clinical assay.