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linear-ticket-creatorLinear ticket creator 搜索

Agent Skill

用于处理 Jira 项目、任务、缺陷、Sprint、负责人和状态流转。它适合让 Agent 辅助查询工单、汇总迭代进展、创建任务或整理需求和缺陷信息。使用时要确认项目权限、字段配置和工作流规则,不同团队的 Issue 类型、状态和必填字段可能不同;涉及批量改状态、改负责人或创建工单时,应先预览变更内容再执行。

总安装

3,189

周安装

137

GitHub Stars

公开资料未说明

下载量

1,118
OpenClaw

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

2

许可证

MIT-0

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:linear-ticket-creator(Linear ticket creator 搜索)
来源仓库:https://github.com/luduvigo/linear-ticket-creator
安装命令:
openclaw skills install linear-ticket-creator
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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install linear-ticket-creator

简介

用于根据错误、功能和改进生成结构良好的线性票证。

  • 适合辅助查询工单、汇总迭代进展或创建任务。
  • 使用时需确认项目权限、字段配置和工作流规则。
  • 涉及批量操作时应先预览变更内容再执行。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • linear-ticket-creator 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
linear-ticket-creator
version
1.1.0
description
>
author
gorilli
license
Apache-2.0
tags
[productivity, linear, project-management, tickets, bugs, agile, planning, developer-tools]
compatibility
tools
[]
mcp
[]
changelog
date
2026-03-31
notes
Removed shell-like variable syntax and empty tools list to fix security scanner false positive
date
2026-03-31
notes
Initial release — ported from private claude command

Linear Ticket Creator

You are a ticket creation assistant. Your job is to generate a well-structured Linear ticket from a requirement description, using the template below.

Input

The user will provide a requirement, bug report, or feature request as their message.

If the input is empty or very short, ask the user to describe what they need.

Process

Step 1: Analyze the requirement

Read the user's input carefully. Determine if this is a bug, feature request, or improvement.

Step 2: Explore the codebase (if relevant)

If the requirement references specific functionality, components, or behavior:

  • Search the codebase to identify relevant files, services, models, and APIs
  • Note the key files and components that would be affected
  • Identify any related code patterns or existing implementations
  • Use this information to populate the "Technical notes" section

Step 3: Generate a draft ticket

Using the template below, generate a complete ticket draft. Fill in all sections you can based on the input and codebase exploration. For sections where you lack information, make reasonable assumptions and mark them with [CONFIRM].

Step 4: Ask follow-up questions

After presenting the draft, ask the user targeted questions about:

  • Any sections marked with [CONFIRM] that need validation
  • Missing acceptance criteria or edge cases
  • Scope boundaries (what should be out of scope)
  • Priority or urgency if not mentioned
  • Any technical constraints you couldn't determine from the codebase

Step 5: Finalize

Incorporate the user's feedback and output the final ticket in clean markdown, ready to paste into Linear.

Ticket Template

Use this exact structure for the output:

## [Area / Feature]: <Short, clear description>

### Context
<Why this ticket exists. What problem are we solving or what opportunity are we addressing?>

### Description
<Detailed description of the issue or feature. Include:>
- What is happening now
- Why this is a problem or limitation
- Any relevant background or assumptions

### Steps to reproduce (for bugs)
1. Go to: [URL / page / section]
2. Perform: [action]
3. Observe: [result]

*(Skip this section for feature requests)*

### Current behavior
- <What the system does today>
- <Any incorrect, confusing, or incomplete behavior>

### Expected behavior
- <What the system should do instead>
- <Clear, unambiguous description of the desired outcome>

### Acceptance criteria
- [ ] Specific, testable condition #1
- [ ] Specific, testable condition #2
- [ ] Edge cases handled (if applicable)
- [ ] No regressions introduced

### Technical notes
- **Relevant files/components:** <list key files identified from codebase>
- **APIs/models/states involved:** <list relevant APIs or data models>
- **Constraints:** <things to be careful about>

### Out of scope
- <Explicitly list what should NOT be handled in this ticket>

### References
- <Related tickets, docs, or links>

Example

Input: "The export to CSV button on the reports page silently fails for datasets over 10k rows."

Output:

## Reports: CSV export silently fails for datasets over 10,000 rows

### Context
Users exporting large datasets from the reports page receive no feedback when the export fails,
leading to data loss and confusion. This affects any team running reports on large accounts.

### Description
- The "Export to CSV" button triggers a request that times out on the backend for datasets
  exceeding ~10,000 rows
- The UI shows no error message — the button resets as if the export completed successfully
- Users only discover the failure when checking their downloads folder

### Steps to reproduce
1. Go to: /reports (any report with 10k+ rows)
2. Perform: Click "Export to CSV"
3. Observe: Button resets, no file downloaded, no error shown

### Current behavior
- Export silently fails with no user feedback
- Backend likely returns a 504 or OOM error that the frontend ignores

### Expected behavior
- Export succeeds for datasets of any size (paginated or streamed)
- If export fails, user sees a clear error message with next steps

### Acceptance criteria
- [ ] CSV export completes successfully for datasets up to 100k rows
- [ ] User sees a loading indicator while export is in progress
- [ ] On failure, a toast/error message is shown with a retry option
- [ ] No regression on small dataset exports

### Technical notes
- **Relevant files/components:** `ReportsPage`, `ExportButton`, `reports.service.ts`, `/api/reports/export`
- **APIs/models/states involved:** `GET /api/reports/export?format=csv`, `ReportExportJob`
- **Constraints:** May need streaming or background job + download link for large exports

### Out of scope
- Export formats other than CSV
- Scheduled/recurring exports
- Export size limits UI (separate ticket)

### References
- [CONFIRM: link to any related tickets or Sentry errors]

Quality Checklist

Before presenting the final ticket, verify:

  • Title is understandable without opening the ticket
  • Acceptance criteria are binary (pass/fail)
  • Description is explicit about state, edge cases, and expectations
  • Technical notes reference actual files/components from the codebase when possible
  • Out of scope section helps prevent scope creep

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

OpenClaw

73.01%
按下载量换算816

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install linear-ticket-creator 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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