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send-to-linearsend TO Linear 工具

Agent Skill

用于处理 Linear 项目、Issue、团队、周期和产品开发任务流。它适合让 Agent 辅助查询任务状态、整理需求队列、创建缺陷或汇总迭代进展。使用时需要确认 workspace、team、label、assignee 和状态流转规则;涉及批量创建或修改任务时,应先核对字段和目标团队,避免把草稿需求直接写入正式项目。

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3,816

周安装

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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

unknown

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:send-to-linear(send TO Linear 工具)
来源仓库:https://github.com/casper-studios/casper-marketplace
仓库路径:skills/send-to-linear
安装命令:
npx skills add https://github.com/casper-studios/casper-marketplace --skill send-to-linear
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/casper-studios/casper-marketplace --skill send-to-linear

简介

send-to-linear 用于处理 Linear 平台上的项目、Issue 和任务流。

  • 它可辅助查询任务状态、创建缺陷或汇总迭代进展,提升产品管理效率。
  • 通过 npx skills add 命令安装,需确保 workspace 和团队字段配置正确。
  • 使用时请核对 assignee、label 和状态流转规则,避免将草稿直接写入正式项目。
  • 建议在批量操作前先小范围测试,确认字段映射无误后再扩展使用。

SKILL.md

Send to Linear

Turn unstructured input into well-structured Linear tickets.

Setup

Config resolution

Look for team configuration in this order (first match wins):

  1. ~/.agents/configs/send-to-linear/config.json (user overrides)
  2. references/config.json (bundled defaults, relative to this skill file)

Use the user config if found. Otherwise fall back to the bundled config.json.

If no user config exists AND the bundled config has empty required fields (team, default_assignee), stop and prompt the user:

No local config found. The bundled references/config.json has empty defaults and will be overwritten whenever this skill updates. Create a user config at: ~/.agents/configs/send-to-linear/config.json Copy the bundled references/config.json as a starting point and fill in your team, project, assignee, labels, and conventions.

Template resolution

Same pattern for the ticket template:

  1. ~/.agents/configs/send-to-linear/ticket-template.md (user overrides)
  2. references/ticket-template.md (bundled default)

The template rarely needs customization, so no prompt if only the bundled version exists.

Phase 1: Ingest Input

Accept any combination of:

  • Slack dump — pasted messages or fetched via Slack MCP tools
  • Call transcript — from Fireflies (mcp__fireflies__* tools), pasted text, or a file
  • Screenshots — read image files with the Read tool
  • Meeting notes / docs — any markdown, text, or document content
  • User description — freeform "we need X, Y, Z"

If the user's input is ambiguous or incomplete, ask one clarifying question before proceeding. Do not over-interrogate.

For Fireflies transcripts specifically: fetch both the summary (fireflies_get_summary) and full transcript (fireflies_get_transcript). Use the summary for topic identification, the full transcript for detail extraction.

Phase 2: Extract Topics and Actionable Items

For short input (<5K chars): extract directly in the main context.

For long input (>5K chars, e.g. full call transcripts): launch parallel subagents, one per major topic or time segment, to extract:

  1. Concrete examples and use cases — the most critical output. Capture specific scenarios, companies/tickers, KPIs, exact quotes, timestamps, and reasoning chains. A ticket saying "fix interpretation errors" is useless. A ticket saying "fix interpretation errors — e.g., when commentary says 'flat to down' for Intel CapEx but consensus expects 'down', recognize this as upward revision" is actionable.
  2. Feature requirements — what needs to be built or changed
  3. Limitations/boundaries — things explicitly ruled out
  4. Acceptance criteria — testable conditions

Categorize items as:

  • Actionable tickets — clear scope, can be worked on immediately
  • Ideas / needs more thought — visionary or exploratory, tracked but not immediately actionable

Phase 3: Draft Tickets to Scratchpad

Write to .claude/scratchpad/linear-tickets-YYYY-MM-DD.md using the format from references/ticket-template.md.

Every ticket with a real-world example from the source MUST include that example verbatim — do not summarize away specifics.

Phase 4: Verification (for long-form input only)

Skip for short/simple input. For call transcripts or long Slack threads:

Launch a verification subagent that reads the full source material and the drafted tickets, then produces a gap list:

  • Use cases mentioned but missing from tickets
  • Action items assigned to people but not captured
  • Design decisions agreed upon but not in acceptance criteria
  • Any "we need to do X" statements not in any ticket

Update the draft with any gaps found.

Phase 5: User Review

STOP. Tell the user the file is ready and wait for explicit instruction before creating anything in Linear.

The user may restructure, merge, split, rename, add notes, or tell you to skip items. Apply all feedback to the scratchpad file before proceeding.

Phase 6: Create in Linear (only on explicit approval)

Read config using the resolution order from Setup, then:

  1. mcp__linear__list_teams — resolve team ID
  2. mcp__linear__list_issue_labels — resolve label IDs
  3. mcp__linear__list_projects — resolve project ID (if configured)
  4. mcp__linear__list_cycles with type: "current" — resolve current cycle (if assign_to_current_cycle is true)

Create each approved ticket with mcp__linear__create_issue:

  • team: from config
  • project: from config
  • assignee: from config
  • cycle: current cycle number
  • state: from config default_status
  • labels: matched from ticket's Labels field
  • title: from ticket
  • description: full ticket body in markdown
  • links: source link if available (e.g. Fireflies transcript URL, Slack permalink)

Report created ticket identifiers back to the user.

Key Rules

  1. Concrete examples are non-negotiable. Engineers understand what to build from specific scenarios, not abstract descriptions. Preserve full reasoning chains, exact quotes, and real-world context.
  2. Never create tickets without user approval. Always draft to scratchpad first.
  3. Config is defaults, not constraints. User can override team, assignee, labels, or any other field per invocation.
  4. Don't over-consolidate. If two items are independent work, they're separate tickets. Group only when items are truly part of the same deliverable.
  5. Standalone requirements buried in conversation are tickets too. Things said in passing like "we also need to compare dates" represent distinct work items.

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

能力概览

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能力 2

展示可复制的安装命令

能力 3

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能力 4

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

Codex

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Gemini CLI

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可疑

权限和风险

external-service

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

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来源信息

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