通过实际操作产品验证交付内容,记录用户可查看的证据,并发布验收报告。可检查已有验证计划或创建检查项,选择合适的操作界面,并使用 `lh` CLI 发布结果。
- 实际检查更改后的产品行为
- 收集截图或其他验证证据
- 编写验证计划和报告
此技能帮助你在 Linear 中检查课题正文、图片和子课题,更新状态并记录进展与完成结果;也可将大型工作拆成按顺序组织、依赖关系清晰的子课题树。
Use for Linear issues, LOBE-xxx links, status updates, completion comments and sub-issue trees.
实测评分 未实测
查看安装方法此技能为 Linear 课题从开始前检查到完成收尾提供操作指引。开始工作前,先查看课题正文、附件图片以及父子课题关系,并在着手规划或实现时更新状态。创建或编辑课题时,内容应使用当前对话的语言。完成后,可添加简短评论,记录已完成的工作和验证结果。
拆分大型任务时,此技能帮助建立子课题树:用带编号的标题表示执行顺序,按逻辑设置父子关系,并记录依赖课题的 ID。每个子课题都应独立说明目标、涉及文件、验收条件、依赖关系和验证步骤。
如果你希望在实现前先了解 Linear 课题内容,或在完成工作前持续向团队同步进展,可以参考此技能。需要把较大的工作拆成多个任务,并让执行顺序和依赖关系清晰可见时,它也很适用。
先确认可用工具是否支持搜索课题、查看图片、创建或更新子课题以及发表评论。创建课题时,若用户没有另行指定,默认添加 claude code 标签,并将负责人设为自己。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月26日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
Before using Linear workflows, discover the available Linear tools, including deferred tools, and inspect their current schemas. Select tools by capability (issue lookup, images, sub-issues, create/update, comments), not a fixed MCP prefix or historical tool name. Report a missing capability only after discovery.
When creating issues, add the claude code label. Reason: the label is how the team filters/audits AI-generated issues; without it those issues vanish into the general backlog and the team loses visibility into AI contribution patterns.
Unless the user explicitly specifies another assignee or asks for the issue to remain unassigned, pass assignee: "me" so the issue is assigned to the authenticated Linear user. Always honor explicit assignment instructions over this default.
Match the issue language to the conversation that produced it — if you're discussing in 中文,write the issue in 中文;if discussing in English, write it in English. Reason: the issue is a continuation of the conversation, and forcing a language switch creates translation friction for the collaborator who started the thread.
Specifics:
When breaking a parent issue into a tree of sub-issues (e.g., task decomposition for LOBE-xxx), follow these conventions and check the available tool capabilities.
Linear supports sub-issue ordering, but tool support varies. Check the discovered create/update schema for ordering fields rather than assuming a particular MCP tool exposes them.
Workaround: encode execution order in the title itself:
[1] [db] add schema fields
[2] [db] new table + repository
[3] [service] business logic layer
[4] [api] REST endpoints
[4.1] [sdk] client SDK wrapper
[4.1.1] [app] consumer integration
[4.1.2] [app] UI surface
[4.2] [ui] dashboard page
Even when the panel shuffles, the reader can mentally reconstruct the dependency graph at a glance. Dotted numbering [n.m.k] should mirror the parent-child nesting so the index and the tree agree.
Linear supports unlimited sub-issue depth. A flat list of 8+ siblings under one root is hard to scan. Group by main-subordinate logic:
Set the parent relation when creating or moving an issue using the discovered schema (for example, parentId: "LOBE-xxxx" when supported). Moving the parent does not require rewriting blockedBy relations.
blockedByblockedBy requires the blocker to exist first (you need its LOBE-id). So:
blockedBy is append-only; passing it again does not overwrite — safe to re-runCollect blocker IDs before creating dependent issues. Do not assume parallel execution from how tool calls appear in a message; use the active tool's supported execution behavior.
Each sub-issue should state:
LOBE-xxxx)The implementer may open only the sub-issue, not the parent — don't rely on context that lives only in the parent description.
Close out each issue before starting the next; do not defer all Linear updates to the end. Reuse existing authorization for that issue's status updates and comments without asking again.
AGENTS.md (bun run check in LobeHub).Fixes LOBE-123 (or Closes / Resolves) in the PR body so Linear can link it and close the issue on merge.还没有评价。欢迎分享你的使用感受。
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还没有评论。来写第一条吧。
通过实际操作产品验证交付内容,记录用户可查看的证据,并发布验收报告。可检查已有验证计划或创建检查项,选择合适的操作界面,并使用 `lh` CLI 发布结果。
本技能指导在 LobeHub 中接入 AI 模型提供商,涵盖运行时、模型信息、设置、品牌展示、文档和验收,并帮助判断新增模型是否需要新的提供商集成。
本技能指导如何用服务器端环境变量设置用户偏好默认值,涵盖变量校验、服务器配置、写入用户状态,以及更新 `.env.example` 和自托管文档。
说明如何在智能体执行步骤、工具调用、人工审批、上下文压缩和子智能体调用时注册钩子。钩子可观察事件、模拟本地工具结果,也可通过 Webhook 按配置策略允许或拒绝工具调用。
此技能用于为智能体设计事件驱动的后台工作流,划分来源、信号、动作和策略的职责,并处理异步交接、去重、执行范围、完成记录与运行观测。
本技能在 macOS 桌面聊天应用中测试机器人频道:打开应用、进入频道或联系人、发送消息、等待回复并截图。支持 Discord、Slack、Telegram、微信、飞书和 QQ;iMessage 使用 BlueBubbles 桥接。