Coding & Dev Tools

aradotso-trending-skills Skill

童锦程视角 Skill — 用深情祖师爷的思维框架分析人际关系、恋爱问题与人性洞察

aradotso-trending-skills Skill

Async Python bot for Polymarket that buys "No" on all standalone non-sports yes/no markets using the "nothing ever happens" strategy.

aradotso-trending-skills Skill

Claude Code skill that designs and builds high-converting questionnaire-style app onboarding flows modelled on proven conversion patterns from top subscription apps like Noom, Headspace, and Duolingo.

oimiragieo Bundle

C++ coding standards and best practices.

oimiragieo Bundle

Auto-evolution skill to initialize a new repository with AGENTS.md localized context.

oimiragieo Bundle

Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. Best for proteomics, comprehensive MS data processing. For simple spectral comparison and metabolite ID use matchms.

oimiragieo Bundle

This rule enforces the single responsibility principle, ensuring functions are short and focused.

oimiragieo Bundle

Structured interactive questionnaire framework for gathering requirements from users. Uses A/B/C/D/E multiple choice patterns with additive vs exclusive question classification.

oimiragieo Bundle

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

g1joshi Skill

Deno secure JavaScript/TypeScript runtime. Use for modern JS backend.

g1joshi Skill

Echo high-performance Go web framework. Use for Go APIs.

g1joshi Skill

Hono ultrafast web framework for edge computing. Use for edge APIs.

g1joshi Skill

COBOL for mainframe and legacy business systems. Use for .cob files.

g1joshi Skill

Julia scientific computing for numerical analysis and data science. Use for .jl files.

g1joshi Skill

Scala functional and OOP programming on the JVM with Akka. Use for .scala files.

g1joshi Skill

Swift development for iOS/macOS with SwiftUI, async/await, and Combine. Use for .swift files.

g1joshi Skill

Visual Basic .NET for legacy .NET applications. Use for .vb files.

g1joshi Skill

Cypress end-to-end testing for web apps. Use for E2E testing.

g1joshi Skill

Gatling load testing for APIs. Use for load testing.

g1joshi Skill

PHPUnit PHP testing framework. Use for PHP testing.

g1joshi Skill

Bitbucket Git repository hosting with Pipelines. Use for Atlassian teams.

g1joshi Skill

TablePlus modern database GUI. Use for database management.

g1joshi Skill

Turbopack Rust-powered bundler. Use for fast builds.

g1joshi Skill

Matplotlib data visualization library. Use for plotting.

g1joshi Skill

Midjourney AI image generation. Use for creative AI.

gptomics Bundle

Predicts RNA secondary structure with ViennaRNA, treating the Boltzmann ensemble (partition function, base-pair probabilities, centroid, MEA, stochastic samples) as the object rather than a single MFE fold. Covers consensus folding from alignments (RNAalifold), SHAPE-constrained folding, RNA-RNA interaction (RNAcofold/RNAduplex/RNAup), local and linear-time methods for long RNA, and pseudoknot-aware tools. Use when folding an RNA and choosing between MFE, centroid, MEA, or ensemble sampling; judging whether a single structure is well-defined; folding long RNAs where a global MFE is meaningless; handling suspected pseudoknots; or weighing thermodynamic versus comparative versus deep-learning prediction.

gptomics Bundle

Implements multiplicity control for confirmatory clinical trials using graphical procedures (Bretz-Maurer-Hommel), gatekeeping (parallel, serial, mixed), Hochberg/Hommel/Holm with PRDS, and the closed-testing principle (Marcus-Peritz-Gabriel; Goeman 2021 admissibility). Covers FDA Multiple Endpoints Final Guidance (October 2022), graphical procedures via R gMCP, primary + key-secondary + subgroup hierarchies, and FWER vs FDR distinction. Use when designing the multiplicity strategy for confirmatory trials with multiple primary or key secondary endpoints.

gptomics Bundle

Reconstruct ancestral states at internal phylogenetic nodes for sequences (PAML codeml, IQ-TREE --ancestral, GRASP, FastML), discrete traits (corHMM hidden-rate Markov, ape::ace, phytools::make.simmap stochastic mapping, BayesTraits), and continuous traits (phytools::fastAnc, geiger Brownian/OU, RPANDA). Use when designing constructs for ancestral protein resurrection, tracing trait evolution along a tree, performing stochastic character mapping, testing models of trait evolution (BM vs OU vs EB), inferring ancestral genome content via Dollo or DTL reconciliation, or quantifying ancestral-state uncertainty for downstream comparative analyses.

gptomics Bundle

Interactive cell annotation and image QC for IMC/MIBI using napari, napari-imc, Mantis Viewer, and cytomapper, covering the pixels-to-cell-table bridge, overlaying masks to catch segmentation/spillover artifacts, inter-annotator variability as the accuracy ceiling, contrast-as-threshold, and building class-balanced ground-truth label sets. Use when manually labeling cells, generating training data for a classifier, QC-ing segmentation on the image, confirming clusters are spatially real, or choosing an annotation viewer.

gptomics Bundle

Predicts whether a DNA variant alters mRNA splicing using sequence-based deep-learning tools — SpliceAI (10kb context dilated CNN, clinical default), Pangolin (multi-tissue), MMSplice (modular per-region CNN with calibrated ΔPSI), SpliceTransformer/TrASPr (tissue-aware transformers), SpliceVault (empirical 300K-RNA lookup of likely mis-splicing outcomes), CADD-Splice (composite score). Applies the ClinGen SVI 2023 framework for ACMG/AMP variant interpretation (PVS1, PP3, BP4 evidence codes), HGVS splicing nomenclature (c.123+1G>A, c.123-3T>G, r.spl?), extended-window scoring for deep-intronic pseudoexons, tissue-specific predictions, branchpoint variant detection (BPHunter, LaBranchoR), and splice-switching ASO design. Use when interpreting splice impact of clinical variants, prioritizing VUS, identifying deep-intronic pathogenic variants, or designing ASOs.

oimiragieo Bundle

Enhanced code search with custom ripgrep binary supporting ES module extensions and advanced patterns.

oimiragieo Bundle

Systematic 4-phase debugging with root cause investigation. Use when fixing bugs to prevent random fixes.

oimiragieo Bundle

Strictly adheres to specified user flow and game rules, making sure to follow documented features.

oimiragieo Bundle

Applies best practices for logging (zerolog/zap), project structure (cmd/internal/pkg), middleware registration order, and environment configuration in Go Fiber v2/v3 applications.

g1joshi Skill

TensorFlow machine learning platform with Keras. Use for ML models.

g1joshi Skill

Server-Sent Events one-way real-time. Use for live updates.