Token导航 LogoToken导航TokenDH.com
开发敏感数据github未标认证来源可访问许可证需确认审计提醒

linear-release-setupLinear 发布设置

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。

总安装

1,909

周安装

82

GitHub Stars

12

下载量

669
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

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:linear-release-setup(Linear 发布设置)
来源仓库:https://github.com/linear/linear-release
仓库路径:skills/linear-release-setup
安装命令:
npx skills add https://github.com/linear/linear-release --skill linear-release-setup
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/linear/linear-release --skill linear-release-setup

简介

用于处理 Linear 项目、Issue、团队、周期和产品开发任务流。

  • 适合辅助查询任务状态、整理需求队列、创建缺陷或汇总迭代进展。
  • 使用时需确认 workspace、team、label、assignee 和状态流转规则。
  • 涉及批量操作时应先核对字段和目标团队,避免误写入正式项目。
  • 安装方式:通过 npx skills add 命令从 GitHub 仓库安装。

SKILL.md

Linear Release Setup

The linear-release README is the source of truth for commands, flags, installation, environment variables, path filtering, and troubleshooting. Fetch it before generating any config — this skill focuses on the interactive setup workflow and the pipeline modeling decisions the README cannot make for the user.

Interactive Workflow

Step 1: Preflight

Before generating config, confirm:

  1. Pipeline exists in Linear — the user must have created a release pipeline in Linear first (Settings → Releases). Each pipeline has its own access key.
  2. Detect CI platform — look for .github/workflows/*.yml (GitHub Actions), .gitlab-ci.yml (GitLab CI), .circleci/config.yml (CircleCI), or other CI config.
  3. Detect default branch — check git symbolic-ref refs/remotes/origin/HEAD or the CI config. Don't assume main.

Step 2: Map pipelines, then ask

Start by listing every build the user ships independently — each becomes its own Linear pipeline. Pipeline-vs-stage confusion is the single most common setup mistake, so whenever a split isn't obvious, apply the test in "Stages vs Pipelines" below.

Ask, in order:

  1. CI platform — if not auto-detected.
  2. What do you ship, and to whom? Prompt explicitly about common split candidates: production vs. beta or TestFlight, nightly or dogfood builds, staging, per-platform builds (iOS, Android, web), per-service in a monorepo. For each candidate, apply the test: *can these hold different commits at the same time?* Yes → separate pipelines. No (same immutable build moving through gates) → one pipeline with stages.
  3. For each pipeline: continuous or scheduled?

- Continuous — every deploy completes a release. Typical for nightlies, dogfood, and web apps that ship on merge. - Scheduled — releases collect changes over time and move through stages before shipping. Typical for versioned mobile and on-prem.

  1. For each scheduled pipeline, ask explicitly:

- Branch model — just main, or main + release branches (release/*)? - Version source — calendar (2026.05), semver (1.2.0), or commit SHA? Derived from branch name, CI variable, file, or git tag? - Stages — what phases does a release move through before completion (e.g. "code freeze", "in qa")? Stages are gates on one build, not separate pipelines. - Automation — all manual via workflow_dispatch, or automated (e.g. cutting a release branch auto-promotes it)?

  1. Monorepo paths — if multiple pipelines share one repo, note which paths belong to each and wire up path filters in Linear pipeline settings or via --include-paths.

Step 3: Generate the CI configuration

Fetch the README first for the current commands, flags, install snippet, and command-targeting rules. For GitHub Actions, prefer the official action (linear/linear-release-action@v0); for other platforms, use the CLI binary per the README's Installation section.

Pick the matching example template, adapt it (branch patterns, stage names, paths, version format), and add it to an existing workflow or create a new one. Multiple pipelines mean multiple workflows or jobs, each calling the CLI with its own access key — one secret per pipeline (e.g. LINEAR_ACCESS_KEY_IOS, LINEAR_ACCESS_KEY_WEB).

PlatformPipeline TypeExample
GitHub ActionsContinuousgithub-actions-continuous/
GitHub ActionsScheduledgithub-actions-scheduled/
GitLab CIContinuousgitlab-ci-continuous/
GitLab CIScheduledgitlab-ci-scheduled/
CircleCIContinuouscircleci-continuous/
CircleCIScheduledcircleci-scheduled/

Each scheduled example includes a monorepo note in the header explaining how to split workflows for path filtering per platform.

Step 4: Remind about secrets

Tell the user to add the LINEAR_ACCESS_KEY secret to their CI environment:

  • GitHub Actions: Repository Settings → Secrets and variables → Actions → New repository secret
  • GitLab CI: Settings → CI/CD → Variables
  • CircleCI: Project Settings → Environment Variables

The access key is created in Linear from the pipeline's settings page. Each pipeline has its own access key.

Key Concepts

A Linear release pipeline is one independent stream of releases, with its own version history, current release, and access key. This is not a CI pipeline; it is the unit Linear uses to track releases, and your CI config calls the CLI to update it. Different products, environments, or distribution channels that ship independently are different pipelines.

Pipelines come in two types — continuous and scheduled. See the README's Pipeline Types section for the canonical description of each.

Stages vs Pipelines

A pipeline is one stream of releases. A stage is one phase inside a release on that pipeline. Confusing the two is the single most common setup mistake — work through the test below before writing any config.

The test: can two things be in-flight at the same time, holding different commits?

  • Yes → separate pipelines. TestFlight running on HEAD while production ships 1.2 from a release branch. Web staging auto-deploying from main while prod lags behind. A hotfix landing in one stream but not the other.
  • No, it's the same build moving through gates → one pipeline with stages. A release is cut at 1.2, goes through code freeze, QA, and RC soak, then ships. The build never changes; only the phase does.

Stages are process gates: "code freeze", "in qa", "in review", "rc soak". They only exist on scheduled pipelines.

Ambiguous cases — apply the test:

  • Beta / TestFlight. TestFlight soak before GA on the *same build* → stage on the production pipeline. A separate nightly or dogfood channel shipping *distinct builds* → its own pipeline.
  • Staging. Staging that auto-deploys from main (or runs hotfixes prod doesn't have) → separate pipeline. Staging that holds the exact same build as prod, just earlier in the promotion path → stage.
  • Per-service monorepo. Each service that ships independently → its own pipeline, scoped by path filters. Unambiguous; services are never stages.

Stages can also be frozen in Linear. A frozen stage makes sync (without --release-version) skip that release and land commits on the next one — a safety net for code freezes. This is a process tool, not a way to squeeze two pipelines into one.

Reference

Everything about commands, flags, environment variables, command targeting, path filtering, JSON output, and troubleshooting lives in the linear-release README. For GitHub Action inputs and how they map to CLI flags, see the action README. Always fetch these rather than relying on memory — they move ahead of this skill.

Checklist

  • Full clone / fetch-depth: 0
  • LINEAR_ACCESS_KEY set as a secret (one per pipeline)
  • Correct binary platform (linux-x64, darwin-arm64, or darwin-x64)
  • Triggers on the correct branches (main for continuous; main + release/* for scheduled)
  • Monorepo: path filters set (in Linear config or via --include-paths), and separate workflows if using release branches

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

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

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

34.25%
按下载量换算229

Claude

29.2%
按下载量换算195

Cursor

21.35%
按下载量换算143

Gemini CLI

9.02%
按下载量换算60

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。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

继续浏览同类 Skills