gi-chromatin
Predict chromatin state — histone marks, DNase, TF binding — across 919 tracks (DeepSEA-style) for DNA sequences, via the hosted Genomic Intelligence…
Skill by ClawBio + Genomic Intelligence
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/clawbio-gi-chromatin
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: backend
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/gi-chromatin
What's inside
- Skill name
gi-chromatin- Description
- Predict chromatin state — histone marks, DNase, TF binding — across 919 tracks (DeepSEA-style) for DNA sequences, via the hosted Genomic Intelligence /v1/tasks/chromatin/predict API.
- License
- MIT
- Metadata
- author: ClawBio + Genomic Intelligence · domain: genomics · version: 0.1.0
- Instructions
- 111 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (6)
- SKILL.md
- api.py
- chromatin_active_promoter_chr19.fa · example_data/
- gi_chromatin.py
- __init__.py · tests/
- test_gi_chromatin.py · tests/
SKILL.md (first lines)
# 🧶 gi-chromatin
You are **gi-chromatin**, a ClawBio agent that calls the **Genomic Intelligence** chromatin-annotation model (DeepSEA-style, 919 tracks: histone marks + DNase + TF binding across ENCODE cell types).
> ⚠️ **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`. The same models also run interactively at <https://genomicintelligence.ai>. **Do not submit identifiable patient data** without an appropriate data-use agreement. Key setup: see [Authentication](#authentication) below.
## Trigger
**Fire this skill when the user says any of:**
- "predict chromatin state for this sequence"
- "histone mark prediction", "DNase prediction", "ATAC prediction"
- "TF binding prediction"
- "DeepSEA"
- "gi-chromatin", "predict epigenome"
- "is this region accessible?"
**Do NOT fire when:**
- The user asks specifically about enhancer activity → `gi-enhancer`
- The user asks for promoter prediction → `gi-promoter`
## Why This Exists
- **Without it**: Running DeepSEA / similar locally needs custom torch envs + weight wrangling.
- **With it**: One CLI call → 919 track predictions per window, in seconds.
- **Why ClawBio**: Hosted G0 DeepSEA inference plus ClawBio reproducibility and chaining.
## API Backed
`POST https://api.genomicintelligence.ai/v1/tasks/chromatin/predict`. Omit `model` and the API resolves the default — a 919-track DeepSEA-style prediction head. `GET /v1/tasks/chromatin/models` is the current list.
> **Contract note.** The Genomic Intelligence API publishes one operation per task, each with its own request schema: per-task `minLength`/`maxLength` on `sequence`, and a typed, closed `options` object (an unknown option key is a `422 validation_failed`, not a silent ignore). The bounds quoted in this file are the published ones, but the authority is always the served schema: `GET https://api.genomicintelligence.ai/v1/openapi.json`.
## Workflow
1. **Parse**: single-record FASTA.
2. **POST** to `/v1/tasks/chromatin/predict`.
3. **Render**: `report.md` (window + total-annotation counts; per-track detail in `result.json`).
## CLI Reference
```bash
python skills/gi-chromatin/gi_chromatin.py --demo --output /tmp/gi-chromatin-demo
python skills/gi-chromatin/gi_chromatin.py --input my_region.fa --output report_dir
python clawbio.py run gi-chromatin --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 (opt-in only). Caps are per-key and are not published as a fixed number — read `RateLimit-Limit` / `RateLimit-Remaining` on any `/v1/tasks/` response for the live allowance. The runner keeps them for you: they are in `result.json` under `rate_limit`, and a `429` names them on the error line. 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-chromatin --demo
```
Bundled fixture is an active-promoter region from chr19. Expect dense annotation across active-promoter tracks (H3K4me3, H3K27ac, DNase, etc.) and many called windows.
## Gotchas
- **Big response.** 919 tracks × N windows → multi-MB `result.json`. The report.md summarizes; mine `result.json` programmatically for specific tracks.
- **Track labels are in the response.** Do not hardcode track indices — read the names from `data.tracks`.
- **Length bounds are 200–500,000 bp**, published as `minLength` / `maxLength` on `ChromatinPredictRequest` and counted after whitespace is stripped. Both ends are a `422 validation_failed` (over-max is *not* a 413 — 413 is the separate 16 MiB raw-body cap). The skill rejects either locally before spending a request.
- **200 bp is admission control, not regime.** The model's context window is 1,000 bp (`bio_spec.context_window_bp` on `GET /v1/tasks/chromatin/models`), so 200–999 bp is accepted and scored — against a window padded out to 1,000 bp. The skill warns when you are under it.
- **Pre-windowing is unnecessary** — the API windows and 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: "chromatin", "histone marks", "DNase", "ATAC", "TF binding", "DeepSEA".
Chains with: `gi-enhancer` (cross-validate enhancer calls against H3K27ac), `gi-promoter` (active-promoter signature: high H3K4me3 + DNase), `variant-annotation` (variants in accessible chromatin).
## Safety
Research and development use. Not for clinical or diagnostic decisions.From ClawBio/ClawBio, MIT.
More from ClawBio/ClawBio
- 0.825score
polars-bio
ClawBio (adapted from K-Dense scientific-agent-skills/polars-bio)
Fast genomic interval operations (overlap, nearest, merge, coverage, cluster, complement, subtract, count-overlaps), multi-format bioinformatics I/O…
SkillAFreshness: A★ 1.2KClaude Code +9 - 0.822score
ena-fetch
Nikolai Hecker, UK Dementia Research Institute
Query metadata and download sequencing data from the European Nucleotide Archive (ENA) via the Portal and Browser APIs.
SkillAFreshness: A★ 1.2KClaude Code +9 - 0.822score
gi-expression
ClawBio + Genomic Intelligence
Predict tissue / cell-type expression (log TPM + TPM) from 9,198–500,000 bp of DNA around a TSS, at least 4,599 bp each side (anything but exactly 9,198 bp…
SkillAFreshness: A★ 1.2KClaude Code +9 - 0.822score
geo-fetch
Nikolai Hecker, UK Dementia Research Institute
Query metadata and download data from the NCBI Gene Expression Omnibus (GEO).
SkillAFreshness: A★ 1.2KClaude Code +9 - 0.822score
ukb-ppp-region-fetch
ClawBio
Fetch a regional slice of plasma pQTL summary statistics from the UK Biobank Pharma Proteomics Project (UKB-PPP; Sun 2023 Nature) for a specific (protein…
SkillAFreshness: A★ 1.2KClaude Code +9 - 0.822score
eqtl-catalogue-region-fetch
ClawBio
Fetch a region of cis-eQTL summary statistics from EBI eQTL Catalogue v7+ via tabix-on-FTP.
SkillAFreshness: A★ 1.2KClaude Code +9 - 0.822score
protocols-io
ClawBio Contributors
Search, browse, and retrieve scientific protocols from protocols.io via REST API.
SkillAFreshness: A★ 1.2KClaude Code +9 - 0.822score
gwas-sumstats-harmonize
AlsammanAlsamman
Harmonize GWAS summary statistics from any common format (GWAS-Catalog SSF, PLINK 1.9/2, REGENIE, METAL, BOLT, SAIGE) to one canonical table (SNP CHR BP EA…
SkillAFreshness: A★ 1.2KClaude Code +9 - 0.822score
prs-applicability-gate
Rinat Rizvanov
Deterministic gate for ONE already-computed polygenic score result and ONE person: returns SUPPORTED (raw score, standardised score and reference percentile…
SkillAFreshness: A★ 1.2KClaude Code +9 - 0.822score
pride-fetch
Nikolai Hecker, UK Dementia Research Institute
Query metadata and download data from the PRIDE Archive, EMBL-EBI's proteomics identifications database, via the PRIDE Archive REST API v3.
SkillAFreshness: A★ 1.2KClaude Code +9 - 0.822score
wgs-prs
David de Lorenzo
End-to-end WGS to polygenic risk score pipeline.
SkillAFreshness: A★ 1.2KClaude Code +9 - 0.822score
biostudies-fetch
Nikolai Hecker, UK Dementia Research Institute
Query metadata and download data from EMBL-EBI BioStudies, the database that describes biological studies and links their data across collections…
SkillAFreshness: A★ 1.2KClaude Code +9
Signals
- Stars
- 1,166
- Forks
- 288
- Open issues
- 27
- Last commit (this folder)
- Aug 21, 2026 (2 months ago)
- Last release
- Sep 11, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 0.1.0
- License
- MIT
- Repository
- github.com/ClawBio/ClawBio
- Website
- clawbio.github.io/ClawBio/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from ClawBio + Genomic Intelligence
- 0.822score
gi-expression
ClawBio + Genomic Intelligence
Predict tissue / cell-type expression (log TPM + TPM) from 9,198–500,000 bp of DNA around a TSS, at least 4,599 bp each side (anything but exactly 9,198 bp…
SkillAFreshness: A★ 1.2KClaude Code +9 - 0.773score
gi-annotation
ClawBio + Genomic Intelligence
Predict gene and transcript structure (intervals, exons, strand) from a DNA sequence using the Genomic Intelligence DNA Annotation model, via the hosted…
SkillBFreshness: B★ 1.2KClaude Code +9 - 0.773score
gi-enhancer
ClawBio + Genomic Intelligence
Predict enhancer activity in DNA sequences using the Genomic Intelligence G0 DeepSTARR model, via the hosted /v1/tasks/enhancer/predict API.
SkillBFreshness: B★ 1.2KClaude Code +9 - 0.773score
gi-splice
ClawBio + Genomic Intelligence
Detect splice donor and acceptor sites in DNA sequences using the Genomic Intelligence G0 BigBird transformer, via the hosted /v1/tasks/splice/predict API.
SkillBFreshness: B★ 1.2KClaude Code +9 - 0.773score
gi-promoter
ClawBio + Genomic Intelligence
Detect promoter regions in DNA sequences using the Genomic Intelligence G0 transformer (GENA-LM BERT Large), via the hosted /v1/tasks/promoter/predict API.
SkillBFreshness: B★ 1.2KClaude Code +9
Cite this page
gi-chromatin skill. Agent Mart. https://agentmart.dev/skills/clawbio-gi-chromatin (last updated 2026-10-24)