Token导航 LogoToken导航

Agent Skill · 研究检索

ticket-creator(票证创建者)

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。

ticket-creator 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 50,882。

总安装 605周安装 26GitHub Stars 公开资料未说明下载 212核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:ticket-creator(票证创建者)
来源仓库:https://github.com/sylla-bv/sylla-skills
仓库路径:skills/ticket-creator
安装命令:
npx skills add https://github.com/sylla-bv/sylla-skills --skill 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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/sylla-bv/sylla-skills --skill ticket-creator

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于处理 Jira 项目、任务和缺陷流转。适合查询工单、汇总迭代进展或创建新任务。使用时需确认项目权限、字段配置和工作流规则。

安装命令:npx skills add https://github.com/sylla-bv/sylla-skills --skill ticket-creator 涉及批量改状态或负责人时应先预览变更内容。

来源仓库内路径:skills/ticket-creator

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/sylla-bv/sylla-skills --skill ticket-creator;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ticket-creator 怎么安装?

在终端执行 npx skills add https://github.com/sylla-bv/sylla-skills --skill ticket-creator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ticket-creator 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ticket-creator 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

ticket-creator 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

ticket-creator 用的人多吗?

公开数据是累计安装 605 次,近一周安装 26 次,下载 212 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ticket-creator 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ticket-creator

票证创建者 · 本页

605—调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Ticket Creator

Create well-structured Linear tickets optimized for AI agent (Claude Code) implementation. Follow a pattern-first, template-driven workflow that ensures the implementing agent can plan and execute without making open-ended architectural decisions. Consult references/guidelines.md for detailed quality criteria and writing guidelines.

Core Principle: Pattern-First

The strongest predictor of ticket success is whether the implementing agent can copy-and-adapt from an existing pattern. Every ticket MUST reference an existing code pattern or explicitly flag it as a first-time pattern requiring extra specification.

AskUserQuestion Usage

Only invoke AskUserQuestion when the answer cannot be deduced from the current conversation context, the codebase, or prior responses. If the information is available or can be inferred, proceed without asking. This applies to all stages — classification, deduplication, information gathering, anti-pattern resolution, splitting, and confirmation.

Workflow

Use TaskCreate at the start to plan the workflow steps, and TaskUpdate to mark each step as you complete it. This keeps progress visible and survives /compact.

1. Gather Context & Classify

Extract as much information as possible from the current conversation before asking any questions. If work has been discussed, use that context to pre-fill ticket details.

Classify the ticket:

  • Normal (feature, improvement, refactor) → references/template-normal.md
  • Bug (error, broken behavior) → references/template-bug.md

Identify the domain from context or keywords:

DomainKeywords
UIpage, component, layout, frontend, table, form, modal, sidebar
Backendserver action, API, endpoint, database, schema, query, migration, job
Data-Engineharvester, actor, pipeline, scraper, PDF, Python, data-engine

If classification is ambiguous, use AskUserQuestion to clarify.

2. Check for Duplicates

Use Task with subagent_type general-purpose to search Linear for existing similar tickets. Pass the ticket description, key terms, and domain as context, along with the instructions from references/duplicate-checker.md. The subagent handles all list_issues calls and returns a concise summary.

If the subagent surfaces matching tickets, present them to the user and ask whether to proceed, update an existing ticket, or link as related.

3. Load Template & Gather Information

Load the appropriate template from references/. Gather missing required information conversationally, 1-2 questions at a time, in this priority order:

  1. What are we building/fixing and why? What's the scope?
  2. Is there an existing pattern to follow? (most critical)
  3. Technical details — types, contracts, file paths
  4. Side effects, integration points, permissions
  5. Acceptance criteria and verification hints

For bug tickets: if a Sentry issue ID or URL is available, use Task with subagent_type general-purpose to fetch the Sentry error details. Instruct the sub-agent to return only the fields needed for the ticket: error message, affected file/line, root cause (if determinable), frequency/user impact, and any relevant breadcrumbs. See references/template-bug.md for the full field list. This prevents verbose Sentry payloads (stack traces, raw breadcrumbs) from flooding the main context.

4. Pattern Discovery

Use Task with subagent_type Explore to search the codebase for:

  • Existing implementations to reference as patterns
  • Relevant Claude Code skills (scan .claude/ directories for SKILL.md files)

Include discovered patterns in the ticket's "Existing pattern to follow" field. Include discovered skills in the Implementation Toolkit section using the format: skills: [skill-name-1, skill-name-2]

5. Quality Gate

Run all anti-pattern checks from references/anti-patterns.md. Surface any warnings and resolve them with the user before proceeding.

Evaluate whether the ticket should be split (see Ticket Splitting below).

6. Draft & Confirm

Compile the ticket using the loaded template. Present a concise preview — title, summary, key fields, acceptance criteria — not the full ticket body.

Ask the user to confirm or request changes before creating.

7. Create in Linear

Create the ticket using create_issue with: team ("Sylla Tech"), title, description, priority. Only set assignee if the user specifies one.

If dependencies exist, use blockedBy or blocks fields. Link related tickets found during deduplication using relatedTo.

Share the ticket link with the user after creation.

Ticket Splitting

When splitting, use TaskCreate with blockedBy to model the dependency order between split tickets (e.g., backend before UI). Use TaskList to review progress and TaskUpdate to track each ticket through stages 3-7.

Multi-Category Split

If work spans multiple domains (e.g., UI + Backend + Data-Engine), create separate linked tickets — one per domain. Run stages 3-7 for each, carrying forward shared context (priority, description, related tickets). Cross-link tickets using relatedTo.

File-Based Split

If a ticket would modify more than 8 files, suggest splitting into smaller, focused tickets. Each split ticket should be independently implementable.

Title Conventions

TypeFormat
FeatureImplement [thing] for [purpose]
UI PageCreate [page name] page at [route]
UI ComponentAdd [component] to [location]
API/EndpointAdd [method] [endpoint] endpoint
RefactorRefactor [what] to [improvement]
BugFix [symptom] in [location]

Reference Files

FilePurpose
references/template-normal.mdTemplate for features, improvements, refactors (with conditional UI/Backend/Data-Engine sections)
references/template-bug.mdTemplate for bug fixes (with Sentry MCP integration)
references/anti-patterns.mdAnti-pattern detection rules to run before ticket creation
references/guidelines.mdQuality criteria, writing guidelines, and verification rules
references/layout-patterns.mdUI layout pattern decision table and component reference
references/duplicate-checker.mdSubagent prompt for Linear duplicate search (used in step 2)

Example Tickets

Consult these real ticket examples to calibrate structure and detail level:

ExampleDomainBased On
examples/backend-ticket.mdBackend (server action + API)S-1176
examples/bug-ticket.mdBug fix (root cause known)S-1222
examples/data-engine-ticket.mdData-engine harvesterS-1149
examples/ui-ticket.mdUI page creationS-1163

Quality Test

Before creating, verify: *"Could the implementing agent create a complete plan from this ticket without making any open-ended architectural decisions?"*

If the answer is no, identify what's ambiguous and ask for it. See references/guidelines.md for the full quality checklist.

平台分布

Codex

38.18%
按下载量换算81

Claude

29.59%
按下载量换算63

Cursor

19.36%
按下载量换算41

Gemini CLI

10.5%
按下载量换算22

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills