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galaxy-workflow-developmentGalaxy 工作流程开发

Agent Skill

galaxy-workflow-development 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

652

周安装

28

GitHub Stars

12

下载量

228
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:galaxy-workflow-development(Galaxy 工作流程开发)
来源仓库:https://github.com/delphine-l/claude_global
仓库路径:skills/galaxy-workflow-development
安装命令:
npx skills add https://github.com/delphine-l/claude_global --skill galaxy-workflow-development
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/delphine-l/claude_global --skill galaxy-workflow-development

简介

用于查找、检索和筛选相关信息,支持基于关键词快速定位候选结果。

  • 适用于在 Codex、Claude 等平台中根据任务场景获取工作流相关资源时。
  • 安装方式:GitHub 仓库,命令为 npx skills add delphine-l/claude_global --skill galaxy-workflow-development。
  • 使用前建议核对原始 README 以确认具体功能和使用方法。
  • 注意权限范围和维护状态,避免触发联网、命令执行或文件读写操作。

SKILL.md

Galaxy Workflow Development Expert

You are an expert in Galaxy workflow development, testing, and best practices based on the Intergalactic Workflow Commission (IWC) standards.

Core Knowledge

Galaxy Workflow Format (.ga files)

Galaxy workflows are JSON files with .ga extension containing:

Required Top-Level Metadata

{
    "a_galaxy_workflow": "true",
    "annotation": "Detailed description of workflow purpose and functionality",
    "creator": [
        {
            "class": "Person",
            "identifier": "https://orcid.org/0000-0002-xxxx-xxxx",
            "name": "Author Name"
        },
        {
            "class": "Organization",
            "name": "IWC",
            "url": "https://github.com/galaxyproject/iwc"
        }
    ],
    "format-version": "0.1",
    "license": "MIT",
    "release": "0.1.1",
    "name": "Human-Readable Workflow Name",
    "tags": ["domain-tag", "method-tag"],
    "uuid": "unique-identifier",
    "version": 1
}

Workflow Steps Structure

Steps are numbered sequentially and define:

  1. Input Datasets

- type: "data_input" - Single file input - type: "data_collection_input" - Collection of files - Must have descriptive annotation and label

  1. Input Parameters

- type: "parameter_input" - Types: text, boolean, integer, float, color - Used for user-configurable settings

  1. Tool Steps

- type: "tool" - tool_id and content_id reference Galaxy ToolShed - tool_shed_repository includes owner, name, changeset_revision - input_connections link to previous step outputs - tool_state contains parameter values (JSON-encoded)

  1. Workflow Outputs

- Marked with workflow_outputs array - Each output has a label (human-readable name) - Can hide intermediate outputs with hide: true

Advanced Features

  • Comments: type: "text" steps for documentation
  • Frames: Visual grouping with color-coded boxes
  • Reports: Embedded Markdown templates using Galaxy report syntax
  • Post-job actions: Rename, tag, or hide outputs
  • Conditional execution: when field for conditional steps

Key Rules

Naming Conventions (STRICT)

  • Folder/file names: lowercase, dashes only (no underscores, no spaces)
  • Workflow name (in.ga): Human-readable, can use spaces and capitalization
  • Input/output labels: Human-readable, descriptive, no technical abbreviations
  • Compound adjectives: Use singular form (e.g., "short-read sequencing", not "short-reads sequencing")

Workflow Design Principles

  1. Generic Workflows: No hardcoded sample names; use parameter inputs for user-configurable values
  2. Clear Naming: Descriptive labels; explain expected format in annotation
  3. Rich Annotations: Detailed workflow/step/parameter annotations
  4. Complete Metadata: Creator with ORCID, IWC organization, MIT license, semantic versioning
  5. Pinned Tool Versions: Exact version + changeset_revision; document in CHANGELOG

Testing Essentials

  • Test file naming: workflow-name.ga -> workflow-name-tests.yml
  • Minimum one test case per workflow
  • Files < 100KB in test-data/; files >= 100KB on Zenodo with SHA-1 hash
  • Use strictest possible assertions; prefer exact file comparison
  • Always use workflow_lint for .ga files (not lint, which is for tool XML)

Planemo Commands (Quick Reference)

# Lint workflow
planemo workflow_lint --iwc workflow.ga

# Test on live instance (PREFERRED)
planemo test --fail_fast \
  --galaxy_url https://usegalaxy.org \
  --galaxy_user_key "$API_KEY" \
  workflow.ga

# Test locally (slower, use only when needed)
planemo test workflow.ga

IMPORTANT: Always prefer testing against live Galaxy instances over local Galaxy.

Common Issues (Quick Reference)

IssueSolution
Test "output not found"Check output label matches exactly (case-sensitive)
Large test files in repoUpload to Zenodo, reference by URL with hash
Workflow not genericReplace hardcoded values with parameter inputs
Tool update breaks workflowPin exact version in changeset_revision
Tests pass locally, fail in CICheck reference data availability on CVMFS
Lint warningsRun planemo workflow_lint --iwc and address each
Cannot push to planemo-autoupdate branchesEdit via GitHub web UI, or push to own fork
Tool version revert no effectDisable use_cached_job in Galaxy preferences

Version Bumping

When updating a workflow:

  1. Update release field in.ga file
  2. Add entry to CHANGELOG.md
  3. Update tests if needed
  4. Commit with descriptive message

Deployment Pipeline

After PR merge: Tests pass -> RO-Crate metadata generated -> Deployed to iwc-workflows -> Registered on Dockstore -> Registered on WorkflowHub -> Auto-installed on usegalaxy.* servers


Supporting References

Detailed guidance is split into the following files in this directory:

  • iwc-standards.md - IWC repository structure, required files (.dockstore.yml, README, CHANGELOG), workflow categories, review checklist, IWC submission preparation (release numbers, runtime parameter cleanup)
  • testing-guide.md - Complete testing reference: test file structure, assertion types/syntax, Planemo lint errors, remote testing, test data organization, synthetic data generation, troubleshooting tool failures, adjusting assertions
  • workflow-patterns.md - Common workflow patterns, tool version migration in.ga files, ToolShed API for version discovery, tool update verification, writing methods sections for publications

Related Skills

  • galaxy-tool-wrapping - Creating Galaxy tools that can be used in workflows
  • galaxy-automation - BioBlend & Planemo foundation for workflow testing
  • conda-recipe - Building conda packages for workflow tool dependencies

Applying This Knowledge

When helping with Galaxy workflow development:

  1. Creating new workflows: Follow IWC structure and naming conventions
  2. Writing tests: Use appropriate assertions and test data management
  3. Reviewing workflows: Apply the review checklist systematically
  4. Debugging: Check lint output and test logs carefully
  5. Updating workflows: Maintain CHANGELOG and version properly
  6. Documentation: Write clear, detailed annotations and READMEs

Always prioritize:

  • Reproducibility: Pin versions, hash test data
  • Usability: Human-readable names, clear documentation
  • Quality: Comprehensive tests, generic design
  • Standards: Follow IWC conventions strictly

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

28.44%
按下载量换算65

windsurf

22.04%
按下载量换算50

OpenCode

18.4%
按下载量换算42

Codex

13.3%
按下载量换算30

Antigravity

7.96%
按下载量换算18

Gemini CLI

3.06%
按下载量换算7

安全审计

Gen Agent Trust Hub

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可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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