/gi-chromatin
command.sh + environment.json.
$ npx -y skills add ClawBio/ClawBio --skill gi-chromatin --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/gi-chromatin
Context preview
The summary Claude sees to decide when to auto-load this skill.
command.sh + environment.json.
SKILL.md
gi-chromatin.SKILL.mdname: 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:
openclaw:
requires:
bins:
- python3
env: null
config: null
always: false
emoji: 🧶
homepage: https://docs.genomicintelligence.ai
os:
- darwin
- linux
install:
- kind: pip
package: requests
bins: null
trigger_keywords:
- chromatin
- chromatin state
- chromatin annotation
- histone mark
- histone modification
- DNase
- ATAC
- TF binding
- transcription factor binding
- DeepSEA
- epigenome
- gi chromatin
- genomic intelligence chromatin
author: ClawBio + Genomic Intelligence
demo_data:
- path: example_data/chromatin_active_promoter_chr19.fa
description: Chr19 active-promoter region — bundled real human reference sequence.
dependencies:
python: '>=3.10'
packages:
- requests>=2.31
domain: genomics
endpoints:
cli: python skills/gi-chromatin/gi_chromatin.py --input {input_file} --output {output_dir}
inputs:
- name: input_file
type: file
format:
- fa
- fasta
- fna
description: Single-record FASTA (any length; API windows automatically).
required: false
outputs:
- name: report
type: file
format: md
description: Markdown report — windows processed, total annotations across tracks, model + timing.
- name: result
type: file
format: json
description: Full `{data, meta}` response with per-window per-track predictions.
- name: reproducibility
type: directory
description: command.sh + environment.json.
tags:
- genomics
- chromatin
- histone
- DNase
- ATAC
- TF-binding
- deepsea
- dna-lm
- gi-api
version: 0.1.0🧶 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`. 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](#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` — default model `g0-deepsea` (919-track DeepSEA-style prediction head).
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
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 (50 concurrent / 120 rpm, opt-in only). From wherever the ClawBio files live on your machine:
# 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:
export GI_API_KEY=gi_yourkeyhere
Demo
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.** Don't hardcode track indices — read the names from `data.tracks`.
- **Pre-windowing is unnecessary** — 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.jsonIntegration 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 tool. Not a clinical assay.
Read more
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:
openclaw:
requires:
bins:
- python3
env: null
config: null
always: false
emoji: 🧶
homepage: https://docs.genomicintelligence.ai
os:
- darwin
- linux
install:
- kind: pip
package: requests
bins: null
trigger_keywords:
- chromatin
- chromatin state
- chromatin annotation
- histone mark
- histone modification
- DNase
- ATAC
- TF binding
- transcription factor binding
- DeepSEA
- epigenome
- gi chromatin
- genomic intelligence chromatin
author: ClawBio + Genomic Intelligence
demo_data:
- path: example_data/chromatin_active_promoter_chr19.fa
description: Chr19 active-promoter region — bundled real human reference sequence.
dependencies:
python: '>=3.10'
packages:
- requests>=2.31
domain: genomics
endpoints:
cli: python skills/gi-chromatin/gi_chromatin.py --input {input_file} --output {output_dir}
inputs:
- name: input_file
type: file
format:
- fa
- fasta
- fna
description: Single-record FASTA (any length; API windows automatically).
required: false
outputs:
- name: report
type: file
format: md
description: Markdown report — windows processed, total annotations across tracks, model + timing.
- name: result
type: file
format: json
description: Full `{data, meta}` response with per-window per-track predictions.
- name: reproducibility
type: directory
description: command.sh + environment.json.
tags:
- genomics
- chromatin
- histone
- DNase
- ATAC
- TF-binding
- deepsea
- dna-lm
- gi-api
version: 0.1.0🧶 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`. 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](#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` — default model `g0-deepsea` (919-track DeepSEA-style prediction head).
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
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 (50 concurrent / 120 rpm, opt-in only). From wherever the ClawBio files live on your machine:
# 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:
export GI_API_KEY=gi_yourkeyhere
Demo
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.** Don't hardcode track indices — read the names from `data.tracks`.
- **Pre-windowing is unnecessary** — 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.jsonIntegration 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 tool. Not a clinical assay.
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
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