Results for “go-terms”

Run pathway and gene-set enrichment analysis on gene lists or ranked gene data, then interpret the results. Covers over-representation analysis (ORA), Gene Set Enrichment Analysis (GSEA), and single-sample scoring using gseapy, g:Profiler, and Enrichr libraries.

Core idioms, style guides, and best practices for writing idiomatic Go code. Use when writing Go code following official style guides and idiomatic patterns.

Accept the recommendation from the most recent A/B/C option set and execute it without re-asking. Use when the user says "按你推荐的来" / "go with your pick" — they glanced at the options, the recommendation looked right, they don't want to re-read all of them.

Query Google Places for text search, place details, resolve, reviews, or scriptable JSON via goplaces.

Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable applications.

Go Services

Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.

Use when implementing go functionality with production-grade patterns and safeguards.

Language-specific super-code guidelines for go.

Apply Go best practices, idioms, and conventions from golang.org/doc/effective_go. Use when writing, reviewing, or refactoring Go code to ensure idiomatic, clean, and efficient implementations.

Applies Go rules for packages, explicit errors, interfaces, concurrency, tests, and tooling.

Implements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with generics, interfaces, and robust error handling.

Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.

Go programming patterns and idioms

Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.

Generate go test generator operations. Auto-activating skill for Test Automation. Triggers on: go test generator, go test generator Part of the Test Automation skill category. Use when writing or running tests. Trigger with phrases like "go test generator", "go generator", "go".

Language-specific super-code guidelines for go.

Executes small ad-hoc tasks with GSD guarantees, spawning planner and executor agents, tracking tasks in .planning/quick/, and updating STATE.md. Supports composable flags for discussion, research, plan-checking, and verification.

Provides idiomatic Go patterns, best practices, and conventions for writing, reviewing, and refactoring Go code.

用于构建健壮、高效且可维护的Go应用程序的惯用Go模式、最佳实践和约定。

Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker — edges as text in one file per ticket locally, or native blocking links on a real tracker.

Go backend conventions, patterns, and test infrastructure. Use when working with Go files, go.mod projects, Go modules, Go CLI, go build, go test, BubbleTea TUI apps, Lip Gloss styling, Charm libraries, goroutines, channels, interfaces, or Go dependency management.

Breaks a plan, spec, or conversation into tracer-bullet tickets that declare their blocking edges, published to the configured tracker. Use when the user says "break this into tickets" or wants a plan decomposed into vertical slices.

Build lean, opinionated products using the 37signals philosophy from Getting Real, Rework, and Shape Up. Use when the user mentions "Getting Real", "Rework", "Shape Up", "37signals", "Basecamp method", "six-week cycles", "fixed time variable scope", "appetite vs estimates", "betting table", "breadboarding", "fat marker sketch", "build less", "underdo the competition", or "opinionated software". Also trigger when cutting scope to ship faster, running small teams, avoiding long-term roadmaps, or eliminating meetings. Covers shaping, betting, building, and the art of saying no. For MVP validation, see lean-startup. For design sprints, see design-sprint.

Query NCBI Gene via the E-utilities and Datasets APIs, searching by gene symbol or Gene ID and retrieving gene information (RefSeqs, GO terms, genomic locations, associated phenotypes) including batch lookups. Use when resolving gene symbols to IDs, annotating gene lists, or pulling functional and positional gene metadata for downstream analysis. Part of the AlterLab Academic Skills suite.