Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.
日本語の概要は準備中です。原文の説明を表示しています。
Publication-quality PDF report generation using Typst templates. Produces professional scientific reports with colored section bands, styled tables, figure captions, callout boxes, and page headers/footers.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Generate publication-quality PDF reports using the BioClaw Typst template engine.
import sys
sys.path.insert(0, "/home/node/.claude/skills/report-template")
from report_builder import (
ReportBuilder, typst_table, typst_callout, typst_image,
typst_metadata_block, typst_metric_cards, typst_pagebreak,
typst_text, typst_list, typst_bold, typst_italic,
)
report = ReportBuilder(
title="My Analysis Report",
subtitle="Project XYZ",
author="BioClaw",
)
# Add sections with Typst markup
report.add_section("Background", "Description of the project...")
# Add tables
table = typst_table(
["Sample", "Value", "Status"],
[["A", "92.3", "Pass"], ["B", "87.1", "Pass"]],
caption="Summary of results",
)
report.add_section("Results", table)
# Compile to PDF
report.compile("output/report.pdf")
typst_table(headers, rows, caption=None)
typst_callout(text, title="Note", kind="note")
# kind: "note" (blue), "warning" (yellow), "success" (green), "danger" (red)
typst_image(path, caption=None, width="100%")
# path is relative to the output directory
typst_metadata_block([("Key", "Value"), ("Date", "2026-04-15")])
typst_metric_cards([
{"label": "Samples", "value": "6"},
{"label": "Quality", "value": "A+"},
])
typst_text("Plain paragraph")
typst_bold("Bold text")
typst_italic("Italic text")
typst_list(["Item 1", "Item 2"])
typst_enum(["Step 1", "Step 2"])
typst_pagebreak()
typst (pip install typst)まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.
日本語の概要は準備中です。原文の説明を表示しています。
Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.
日本語の概要は準備中です。原文の説明を表示しています。
AlphaFold2 / AlphaFold-Multimer structure prediction for validation and confidence scoring. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm2-sequence-scoring. For QC thresholds, use protein-design-qc.
日本語の概要は準備中です。原文の説明を表示しています。
Workflow for event-level and isoform-level splicing analysis with sashimi-ready outputs and splice QC.
日本語の概要は準備中です。原文の説明を表示しています。
ATAC-seq processing with assay QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up.
日本語の概要は準備中です。原文の説明を表示しています。
End-to-end binder design using BindCraft hallucination. Use this skill when: (1) Designing protein binders with built-in AF2 validation, (2) Running production-quality binder campaigns, (3) Using different design protocols (fast, default, slow), (4) Need joint backbone and sequence optimization, (5) Want high experimental success rate. For backbone-only generation, use rfdiffusion. For QC thresholds, use protein-qc. For tool selection guidance, use binder-design.
日本語の概要は準備中です。原文の説明を表示しています。