/gi-splice
command.sh + environment.json for exact-rerun reproducibility.
$ npx -y skills add ClawBio/ClawBio --skill gi-splice --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-splice
Context preview
The summary Claude sees to decide when to auto-load this skill.
command.sh + environment.json for exact-rerun reproducibility.
SKILL.md
gi-splice.SKILL.mdname: gi-splice
description: Detect splice donor and acceptor sites in DNA sequences using the Genomic Intelligence G0 BigBird transformer, via the hosted /v1/tasks/splice/predict API. Returns per-position site probabilities
and called sites.
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:
- splice
- splice site
- splice donor
- splice acceptor
- splicing prediction
- intron exon boundary
- cryptic splice site
- GT-AG site
- gi splice
- G0 splice
- genomic intelligence splice
author: ClawBio + Genomic Intelligence
demo_data:
- path: example_data/splice_hbb.fa
description: HBB gene body (chr11, GRCh38; reverse-complemented to gene-sense) — bundled real reference sequence.
dependencies:
python: '>=3.10'
packages:
- requests>=2.31
domain: genomics
endpoints:
cli: python skills/gi-splice/gi_splice.py --input {input_file} --output {output_dir}
inputs:
- name: input_file
type: file
format:
- fa
- fasta
- fna
description: Single-record FASTA, typically a gene body (5'UTR → 3'UTR including introns).
required: false
outputs:
- name: report
type: file
format: md
description: Markdown report — sequence + model metadata, called splice sites (position, kind, strand, probability).
- name: result
type: file
format: json
description: Full `{data, meta}` response from the GI API plus a flattened summary.
- name: reproducibility
type: directory
description: command.sh + environment.json for exact-rerun reproducibility.
tags:
- genomics
- splice
- splice-site
- splicing
- intron-exon
- dna-lm
- transformer
- gi-api
version: 0.1.0✂️ gi-splice
You are **gi-splice**, a ClawBio agent that calls the **Genomic Intelligence** splice-site model. Given a gene-body sequence, it returns called donor/acceptor sites and per-position probabilities 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](#authentication) below.
Trigger
**Fire this skill when the user says any of:**
- "predict splice sites in this gene"
- "find splice donors/acceptors"
- "score this for cryptic splice sites"
- "splice site prediction"
- "gi-splice", "G0 splice"
- "where does this transcript splice?"
**Do NOT fire when:**
- The user asks for full transcript structure (multi-exon annotation) → `gi-annotation`
- The user asks about variant effect on splicing → use `variant-annotation` (VEP) or chain `gi-splice` ref/alt comparisons
Why This Exists
- **Without it**: SpliceAI / similar require local GPU + weights + careful preprocessing.
- **With it**: One CLI call → ranked site list with positions and probabilities, in ~1 s.
- **Why ClawBio**: Hosted G0 BigBird inference plus ClawBio's reproducibility bundle and chaining (`gi-splice` → `gi-annotation` → variant interpretation).
API Backed
`POST https://api.genomicintelligence.ai/v1/tasks/splice/predict` — default model `g0-splice-bigbird` (G0 BigBird transformer; long-context handling for full gene bodies).
Workflow
1. **Parse**: single-record FASTA via `clawbio.gi.gi_client.read_fasta`. 2. **POST** the full gene body to `/v1/tasks/splice/predict`. 3. **Render**: `report.md` + `result.json` + `reproducibility/`.
CLI Reference
# Demo — bundled HBB gene body
python skills/gi-splice/gi_splice.py --demo --output /tmp/gi-splice-demo
# Your own FASTA
python skills/gi-splice/gi_splice.py --input my_gene.fa --output report_dir
# Via ClawBio runner
python clawbio.py run gi-splice --demo
Demo
python clawbio.py run gi-splice --demo
Bundled fixture is HBB (β-globin) gene body, reverse-complemented to gene-sense. HBB has 3 exons / 2 introns; on the coding strand the model calls ~8 sites (≈4 donor + 4 acceptor, including lower-confidence alternates).
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
Gotchas
- **Submit gene-sense, not genomic-sense.** Minus-strand genes need RC'd input. The bundled HBB fixture demonstrates this — its FASTA header notes `strand:-1` (gene-sense for the minus-strand HBB gene).
- **Full gene body, not just an exon.** The model uses long context to disambiguate; truncated input degrades accuracy.
- **Donor/acceptor pairs.** The model emits independent site calls. Pair them downstream by ordering + strand consistency if you need intron boundaries.
- **Hackathon key is shared** — `GI_API_KEY` for serious work.
Output Structure
output_dir/
├── report.md # Site table (position, kind, strand, probability)
├── result.json # Full {data, meta} envelope
└── reproducibility/Read more
name: gi-splice
description: Detect splice donor and acceptor sites in DNA sequences using the Genomic Intelligence G0 BigBird transformer, via the hosted /v1/tasks/splice/predict API. Returns per-position site probabilities
and called sites.
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:
- splice
- splice site
- splice donor
- splice acceptor
- splicing prediction
- intron exon boundary
- cryptic splice site
- GT-AG site
- gi splice
- G0 splice
- genomic intelligence splice
author: ClawBio + Genomic Intelligence
demo_data:
- path: example_data/splice_hbb.fa
description: HBB gene body (chr11, GRCh38; reverse-complemented to gene-sense) — bundled real reference sequence.
dependencies:
python: '>=3.10'
packages:
- requests>=2.31
domain: genomics
endpoints:
cli: python skills/gi-splice/gi_splice.py --input {input_file} --output {output_dir}
inputs:
- name: input_file
type: file
format:
- fa
- fasta
- fna
description: Single-record FASTA, typically a gene body (5'UTR → 3'UTR including introns).
required: false
outputs:
- name: report
type: file
format: md
description: Markdown report — sequence + model metadata, called splice sites (position, kind, strand, probability).
- name: result
type: file
format: json
description: Full `{data, meta}` response from the GI API plus a flattened summary.
- name: reproducibility
type: directory
description: command.sh + environment.json for exact-rerun reproducibility.
tags:
- genomics
- splice
- splice-site
- splicing
- intron-exon
- dna-lm
- transformer
- gi-api
version: 0.1.0✂️ gi-splice
You are **gi-splice**, a ClawBio agent that calls the **Genomic Intelligence** splice-site model. Given a gene-body sequence, it returns called donor/acceptor sites and per-position probabilities 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](#authentication) below.
Trigger
**Fire this skill when the user says any of:**
- "predict splice sites in this gene"
- "find splice donors/acceptors"
- "score this for cryptic splice sites"
- "splice site prediction"
- "gi-splice", "G0 splice"
- "where does this transcript splice?"
**Do NOT fire when:**
- The user asks for full transcript structure (multi-exon annotation) → `gi-annotation`
- The user asks about variant effect on splicing → use `variant-annotation` (VEP) or chain `gi-splice` ref/alt comparisons
Why This Exists
- **Without it**: SpliceAI / similar require local GPU + weights + careful preprocessing.
- **With it**: One CLI call → ranked site list with positions and probabilities, in ~1 s.
- **Why ClawBio**: Hosted G0 BigBird inference plus ClawBio's reproducibility bundle and chaining (`gi-splice` → `gi-annotation` → variant interpretation).
API Backed
`POST https://api.genomicintelligence.ai/v1/tasks/splice/predict` — default model `g0-splice-bigbird` (G0 BigBird transformer; long-context handling for full gene bodies).
Workflow
1. **Parse**: single-record FASTA via `clawbio.gi.gi_client.read_fasta`. 2. **POST** the full gene body to `/v1/tasks/splice/predict`. 3. **Render**: `report.md` + `result.json` + `reproducibility/`.
CLI Reference
# Demo — bundled HBB gene body python skills/gi-splice/gi_splice.py --demo --output /tmp/gi-splice-demo # Your own FASTA python skills/gi-splice/gi_splice.py --input my_gene.fa --output report_dir # Via ClawBio runner python clawbio.py run gi-splice --demo
Demo
python clawbio.py run gi-splice --demo
Bundled fixture is HBB (β-globin) gene body, reverse-complemented to gene-sense. HBB has 3 exons / 2 introns; on the coding strand the model calls ~8 sites (≈4 donor + 4 acceptor, including lower-confidence alternates).
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
Gotchas
- **Submit gene-sense, not genomic-sense.** Minus-strand genes need RC'd input. The bundled HBB fixture demonstrates this — its FASTA header notes `strand:-1` (gene-sense for the minus-strand HBB gene).
- **Full gene body, not just an exon.** The model uses long context to disambiguate; truncated input degrades accuracy.
- **Donor/acceptor pairs.** The model emits independent site calls. Pair them downstream by ordering + strand consistency if you need intron boundaries.
- **Hackathon key is shared** — `GI_API_KEY` for serious work.
Output Structure
output_dir/
├── report.md # Site table (position, kind, strand, probability)
├── result.json # Full {data, meta} envelope
└── reproducibility/🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
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