/bio-clip-seq-binding-site-annotation
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$ npx -y skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-clip-seq-binding-site-annotation --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 →
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/bio-clip-seq-binding-site-annotation
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SKILL.md
bio-clip-seq-binding-site-annotation.SKILL.md<!--
COPYRIGHT NOTICE
This file is part of the "Universal Biomedical Skills" project.
Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
All Rights Reserved.
#
This code is proprietary and confidential.
Unauthorized copying of this file, via any medium is strictly prohibited.
#
Provenance: Authenticated by MD BABU MIA
-->
--- name: bio-clip-seq-binding-site-annotation description: Annotate CLIP-seq binding sites to genomic features including 3'UTR, 5'UTR, CDS, introns, and ncRNAs. Use when characterizing where an RBP binds in transcripts. tool_type: mixed primary_tool: ChIPseeker measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:
- read_file
- run_shell_command
---
Binding Site Annotation
Using ChIPseeker (R)
library(ChIPseeker)
library(TxDb.Hsapiens.UCSC.hg38.knownGene)
txdb <- TxDb.Hsapiens.UCSC.hg38.knownGene
peaks <- readPeakFile('peaks.bed')
anno <- annotatePeak(peaks, TxDb = txdb)
plotAnnoPie(anno)Using BEDTools
# Annotate to UTRs
bedtools intersect -a peaks.bed -b 3utr.bed -wa -wb > peaks_3utr.bed
Python Annotation
import pandas as pd
def annotate_peaks(peaks_bed, annotation_gtf):
'''Annotate peaks to genomic features'''
# Load peaks and annotations
# Intersect and categorize
passRelated Skills
- clip-peak-calling - Get peaks
- genome-intervals/interval-arithmetic - Intersect peaks with genomic features
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->
Read more
<!--
COPYRIGHT NOTICE
This file is part of the "Universal Biomedical Skills" project.
Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
All Rights Reserved.
#
This code is proprietary and confidential.
Unauthorized copying of this file, via any medium is strictly prohibited.
#
Provenance: Authenticated by MD BABU MIA
-->
--- name: bio-clip-seq-binding-site-annotation description: Annotate CLIP-seq binding sites to genomic features including 3'UTR, 5'UTR, CDS, introns, and ncRNAs. Use when characterizing where an RBP binds in transcripts. tool_type: mixed primary_tool: ChIPseeker measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:
- read_file
- run_shell_command
---
Binding Site Annotation
Using ChIPseeker (R)
library(ChIPseeker)
library(TxDb.Hsapiens.UCSC.hg38.knownGene)
txdb <- TxDb.Hsapiens.UCSC.hg38.knownGene
peaks <- readPeakFile('peaks.bed')
anno <- annotatePeak(peaks, TxDb = txdb)
plotAnnoPie(anno)Using BEDTools
# Annotate to UTRs bedtools intersect -a peaks.bed -b 3utr.bed -wa -wb > peaks_3utr.bed
Python Annotation
import pandas as pd
def annotate_peaks(peaks_bed, annotation_gtf):
'''Annotate peaks to genomic features'''
# Load peaks and annotations
# Intersect and categorize
passRelated Skills
- clip-peak-calling - Get peaks
- genome-intervals/interval-arithmetic - Intersect peaks with genomic features
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->
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