「sam」の検索結果

A sample skill for demonstration

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。

Explains this repository's shared Claude Code setup to a new teammate, covering what is committed and shared, what stays personal, and what the team-kit plugin adds. Use when someone asks how the team's Claude Code setup works or what they get by cloning the repository.

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。

TODO

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。

Finds the root cause of a bug, failure or recurring problem by asking "why" until the answer is a cause you can fix. Use when the user asks why something keeps happening, or wants the root cause rather than a quick fix.

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。

[omh] Accepted plan awaiting implementation: split it into disjoint parallel lanes with per-lane acceptance criteria, verification commands, and owners; prevents two lanes editing the same file. Aliases: ulw. Use when the user says: ultrawork, parallel work, parallel implementation, parallel then integrate, high throughput, coding team, coordinated workers, finish until done.

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。

[omh] Testing an internal control -- SOX, ICFR or ITGC: define the population and the sample, name the evidence that proves each item, re-perform the control, and grade any deficiency from stated likelihood, magnitude and compensating-control criteria, never by assertion. Use when the user says: internal-audit, internal audit, internal control, internal controls, internal control audit, control testing, test of controls, tests of controls.

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。

Compatibility alias for Loopy. Use only when an existing installation or older instruction explicitly invokes loop-library; use Loopy for new installations and requests. Provides the same discovery, recommendation, audit, repair, adaptation, guided crafting, bounded execution, run debrief, project loop saving, and publication-preparation workflows.

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。

This skill should be used when the user asks to "calculate TAM", "determine SAM", "estimate SOM", "size the market", "calculate market opportunity", "what's the total addressable market", or requests market sizing analysis for a startup or business opportunity.

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。

Interactive click-to-segment using Segment Anything 2 — AI-assisted labeling for Annotation Studio

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。

AI-assisted dataset annotation with COCO export — bbox, SAM2, DINOv3 methods

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。

Quality control and assessment for proteomics data. Use when evaluating proteomics data quality before downstream analysis. Covers sample metrics, missing value patterns, replicate correlation, batch effects, and intensity distributions.

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。

Post-translational modification analysis including phosphorylation, acetylation, and ubiquitination. Covers site localization, motif analysis, and quantitative PTM analysis. Use when analyzing phosphoproteomic data or other modification-enriched samples.

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。

Detect antimicrobial resistance genes using AMRFinderPlus, ResFinder, and CARD. Screen isolates and metagenomes for resistance determinants. Use when characterizing resistance profiles in clinical isolates, surveillance samples, or metagenomic data.

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。

Tracks ctDNA dynamics over time for treatment response monitoring using serial liquid biopsy samples. Analyzes tumor fraction trends, mutation clearance kinetics, and defines molecular response criteria. Use when monitoring patients during therapy or detecting molecular relapse before clinical progression.

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。

Comprehensive quality control for flow cytometry and CyTOF data. Covers flow rate stability, signal drift, margin events, dead cell exclusion, and batch QC. Use when assessing acquisition quality or identifying problematic samples before analysis.

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。

Visualize differential expression results using DESeq2/edgeR built-in functions. Covers plotMA, plotDispEsts, plotCounts, plotBCV, sample distance heatmaps, and p-value histograms. Use when visualizing differential expression results.

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。

Generate consensus FASTA sequences by applying VCF variants to a reference using bcftools consensus. Use when creating sample-specific reference sequences or reconstructing haplotypes.

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。

Analyze transcription factor motif accessibility variability using chromVAR. Use when identifying which TF motifs show variable accessibility across samples or conditions in ATAC-seq data.

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。

Estimate causal effects between exposures and outcomes using genetic variants as instrumental variables with TwoSampleMR. Implements IVW, MR-Egger, weighted median, and MR-PRESSO methods for robust causal inference from GWAS summary statistics. Use when testing whether an exposure causally affects an outcome using genetic instruments.

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。

Differential binding analysis using DiffBind. Compare ChIP-seq peaks between conditions with statistical rigor. Requires replicate samples. Outputs differentially bound regions with fold changes and p-values. Use when comparing ChIP-seq binding between conditions.

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。

Quality control metrics for ATAC-seq data including fragment size distribution, TSS enrichment, FRiP, and library complexity. Use when assessing ATAC-seq library quality before or after peak calling to identify problematic samples.

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。

Test whether two traits share a causal variant at a genomic locus using Bayesian colocalization with coloc. Computes posterior probabilities for shared vs distinct causal variants between GWAS and eQTL signals. Use when determining if a GWAS signal and an eQTL share the same causal variant.

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。

Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.

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。

Autonomously screen NYSE, Nasdaq, and NYSE American operating-company stocks for undervalued-growth/GARP opportunities using forward same-basis valuation, driver-derived EPS/FCF forecasts, primary-source financial verification, SBC and dilution controls, sector and cycle normalization, auditable candidate-pool coverage, and fail-closed final reporting. Use when asked to find, screen, rank, or refresh US undervalued-growth stocks, including minimal requests with no ticker list or parameters.

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。