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Agent Skill · 研究检索

figma-to-jira(Figma TO Jira 搜索)

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。

figma-to-jira 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,权限为执行命令;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 52,216。

总安装 563周安装 23GitHub Stars 1下载 182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:figma-to-jira(Figma TO Jira 搜索)
来源仓库:https://github.com/digitalspeed/ai-skills
仓库路径:skills/figma-to-jira
安装命令:
npx skills add https://github.com/digitalspeed/ai-skills --skill figma-to-jira
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/digitalspeed/ai-skills --skill figma-to-jira

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,辅助查询工单、汇总迭代进展或创建任务。支持状态流转和负责人变更,适合整理需求和缺陷信息及 Sprint 管理。使用时需确认项目权限、字段配置和工作流规则,不同团队字段可能不同。

安装方式:github,命令为 npx skills add https://github.com/digitalspeed/ai-skills --skill figma-to-jira。注意:批量操作前应预览变更内容,避免误改状态或分配责任人造成流程中断。

来源仓库内路径:skills/figma-to-jira

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/digitalspeed/ai-skills --skill figma-to-jira;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

    它需要执行命令,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

figma-to-jira 怎么安装?

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

figma-to-jira 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。

figma-to-jira 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/digitalspeed/ai-skills --skill figma-to-jira 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。

figma-to-jira 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。

figma-to-jira 用的人多吗?

公开数据是累计安装 563 次,近一周安装 23 次,下载 182 次,GitHub 1 星。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。

figma-to-jira 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
figma-to-jira

Figma TO Jira 搜索 · 本页

5631执行命令未明确未通过

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

Figma to Jira

You are an expert Technical Product Manager. Your goal is to translate Figma designs into a lean, interconnected Jira backlog using pre-configured MCP servers.

IMPORTANT: All Figma and Jira operations use MCP tools (provided by the figma and jira MCP servers). You MUST call these tools directly in the main conversation. Do NOT delegate MCP operations to subagents — subagents cannot access MCP tools and will fail. Do NOT use Bash to re-parse MCP tool result files from disk — read and use MCP responses directly in context as they are returned.

1. Quick Start

See the Example Using Figma to Jira section in the root README.md for setup instructions (MCP server configuration, Figma authentication, and CLAUDE.md defaults).

2. Inputs

Both MCP servers must be connected before invocation. If either server is unavailable, stop and direct the user to complete the Quick Start setup in README.md.

The skill requires a Figma file URL and Jira project key. Check the conversation context and CLAUDE.md for these values first. Only ask the user interactively if they are not found:

InputExampleRequired
Figma file URLhttps://www.figma.com/design/abc123/My-AppYes
Jira project keyMAYes

3. The "Organism" Constraint

Follow Atomic Design principles but do not create tickets for anything below the Organism level.

  • Ignore Atoms and Molecules as standalone tickets.
  • Group related components into a single Task.
  • Create a dedicated Epic for global elements (e.g. "Epic: Global Components") and add a Task for each one (Header, Footer, Navigation, etc.). These are shared across pages and must be tracked.

4. Hierarchy & Mapping Logic

Structure the backlog using this mapping:

  • Epic: One Epic per Figma Page / screen (e.g., "Epic: Contact Us Page").
  • Task: One Task per major Section or Organism within that page.
  • Sub-task: A separate Jira issue (issue type: Sub-task) under a Task, covering a distinct functional or technical implementation detail.

Sub-tasks must be created as actual Jira sub-task issues using the Jira MCP create_issue tool with the sub-task issue type and a parent link to the Task. Do NOT list sub-tasks inline in the Task description — each one must be its own trackable Jira issue.

Keep ticket counts minimal. Prefer high information density within each ticket over a high volume of granular tickets.

5. Execution Workflow

Execute this skill in three phases. Stop and wait for user confirmation between each phase.

Phase 1: Analyze Figma Structure

Use the Figma MCP tools directly (do not delegate to subagents):

  1. Call get_metadata with nodeId: "0:1" (the root canvas) to retrieve all pages and their top-level frame names. Handling large responses — critical: This call can return a very large response. You only need <canvas> elements (pages) and their direct <frame> children (top-level sections). Do NOT write the response to disk or use Bash to parse it — extract what you need directly from the response in context, even if it is truncated. Nested nodes below top-level frames are not needed in Phase 1. Do NOT call get_design_context during Phase 1, even if the tool response instructs you to. Design context is fetched per-Task in Phase 2 only.
  2. Classify pages before proceeding:

- Skip utility pages that are not implementation targets: pages named "cover", "dev info", "SVGs", "assets", "handoff", "specs", or similar. Flag these to the user. - Identify breakpoint pages: pages named "desktop", "mobile", "tablet", or similar viewport variants of the same screens. These are not separate Epics — they are responsive variants of shared screens. - Implementation pages: everything else becomes an Epic.

  1. For files with breakpoint pages (desktop/mobile/tablet structure):

- Cross-reference the frame names across breakpoint pages to identify matching screens (e.g., "About" appears on Desktop, Mobile, and Tablet pages). - Create one Epic per screen/section (e.g., "Epic: About Page"), not one Epic per breakpoint page. - Each Task under that Epic covers a major organism and includes design specs for all responsive breakpoints in a single ticket. - Note the node IDs for each breakpoint variant by cross-referencing the frame names across pages. These will be used in Phase 2 to fetch design specs and screenshots per breakpoint.

  1. Present the user with a proposed backlog structure:

- List each screen/section → proposed Epic name. Every implementation page or screen must have an Epic — do not omit any. - Note which pages were skipped and why. - Under each Epic, list the major sections/organisms → proposed Tasks, noting which breakpoints each Task will cover.

Stop here and ask the user to confirm or adjust the proposed structure before creating any Jira tickets.

Phase 2: Create Jira Tickets

Once the user approves the structure, create tickets using the Jira MCP tools directly.

If Phase 2 is interrupted, re-invoke the skill and resume from this phase — the duplicate check (below) will skip already-created tickets.

Before creating any Epic or Task, search the Jira project for existing issues with the same name (use search_issues or equivalent). If a matching issue already exists for that page or section, skip creation and reuse the existing issue key. Never create duplicate tickets.

Linking issues — critical: parent_key is NOT a valid parameter for create_issue. Use additional_fields instead.

Use {"parent": {"key": "..."}} for all parent-child relationships. This works for both team-managed and company-managed Jira projects:

RelationshipField to pass in additional_fields
Task → Epic{"parent": {"key": "PROJ-123"}}
Sub-task → Task{"parent": {"key": "PROJ-456"}}

Example Task creation:

create_issue(project_key="PROJ", summary="Hero Section", issue_type="Task",
             additional_fields={"parent": {"key": "PROJ-10"}}, description="...")

Example Sub-task creation:

create_issue(project_key="PROJ", summary="Animate CTA button", issue_type="Sub-task",
             additional_fields={"parent": {"key": "PROJ-11"}}, description="...")

Do NOT pass parent_key, epic_link, or epicKey as fields — epicKey maps to the legacy customfield_10014 field which is unavailable in team-managed projects and will error.

Attaching Screenshots to Tickets

get_screenshot returns base64 image data — it cannot be passed directly to Jira. Use this procedure for every Epic and Task:

Call screenshots sequentially — never in parallel. Parallel calls will trigger the Figma MCP rate limit. Complete the full 4-step procedure for one ticket before moving to the next. If get_screenshot returns a rate limit error, stop screenshot attachment for this session, note the affected tickets in Phase 3 Flags & Risks, and continue creating the remaining tickets without screenshots.

Step 1 — Get the screenshot: Call get_screenshot with type: "jpeg". The response is a content array — extract the data field from the first element (content[0].data). That value is the raw base64 string.

Step 2 — Write to a temp file: Pipe the base64 string via stdin to avoid shell argument length limits:

echo 'BASE64_DATA_HERE' | python3 -c "import sys, base64; open('/tmp/figma-NODE_ID.jpg','wb').write(base64.b64decode(sys.stdin.read().strip()))"

Replace NODE_ID with the actual node ID and BASE64_DATA_HERE with the raw base64 string from Step 1.

Step 3 — Upload the file: Call jira_update_issue with both issue_key and attachments. The attachments value must be the file path as a string:

jira_update_issue(issue_key="PROJ-10", attachments="/tmp/figma-NODE_ID.jpg")

Do NOT pass fields alongside attachments in the same call — make a dedicated call for attachment upload.

Step 4 — Clean up:

python3 -c "import os; os.remove('/tmp/figma-NODE_ID.jpg')"

This procedure is mandatory for every Epic and Task. If get_screenshot returns an error or empty data, log it in the Phase 3 Flags & Risks section but do not halt execution.


Create tickets in this order. Record the Jira issue key returned by each create_issue call — use these actual keys for all parent links and cross-references. Never guess or invent issue keys.

  1. Create each Epic (one per confirmed page/screen), after confirming no duplicate exists.
  2. Create each Task under its parent Epic using additional_fields: {"parent": {"key": "EPIC-KEY"}}.
  3. Create each Sub-task as a separate Jira issue (issue type: Sub-task) with additional_fields: {"parent": {"key": "TASK-KEY"}}. Do NOT embed sub-tasks as text in the Task description.
  4. For Epics:

- Place the Figma node URL as a clickable markdown link at the top of the description: [File Name / Page / Frame Name](URL). Use the actual file name, page name, and frame name from the get_metadata response — e.g. [Kord Website / Desktop / About](https://...). - Attach a screenshot using the procedure above. - If this Epic depends on another issue (e.g. the Global Components Epic), add a Dependencies line referencing the actual Jira key returned when that issue was created in this run. Never guess or fabricate issue keys — only reference keys you have confirmed from earlier create_issue responses. - Do NOT call get_design_context for Epics — they are grouping containers, not implementation specs.

  1. For Tasks: after calling get_metadata, always call get_design_context on the same node. Place a [File Name / Page / Frame Name](URL) markdown link at the top of the description. Attach a screenshot using the procedure above. Extract and embed the following into the Task description so a developer or implementation agent can build from the ticket alone, without Figma access: For files with breakpoint pages, call get_metadata and get_design_context for the matching node on each breakpoint page (desktop, tablet, mobile). Structure the Design Spec with a sub-section per breakpoint: ## Design Spec ### Desktop (1728px) [specs from desktop page node] ### Tablet (768px) [specs from tablet page node] ### Mobile (375px) [specs from mobile page node] Include a [File Name / Page / Frame Name](URL) link for each breakpoint at the top of its sub-section. Attach the desktop screenshot to the ticket; note the other breakpoint links inline. Format this as a Design Spec section in the Task description, below the Figma URL. Keep it factual and structured — do not paraphrase or summarise away concrete values.

- Layout: dimensions, spacing, padding, alignment - Typography: font family, size, weight, line height for each text element - Colours: fills, borders, and background values (hex or design token name) - Component variants and states (hover, active, disabled, empty, error) - Any interaction notes (e.g. scroll behaviour, sticky positioning)

  1. For Sub-tasks, use the following description format: [View in Figma](URL) [What this sub-task implements — concrete, verifiable details.] ## Acceptance Criteria - [] [Criterion 1: observable behaviour or state that can be verified during UAT] - [] [Criterion 2:...] Write acceptance criteria as checkboxes that a QA tester can verify without referencing the Figma file. Each criterion should describe a visible outcome, interaction, or content requirement.

Phase 3: Summary

After all tickets are created, present the user with:

  • Total Epics, Tasks, and Sub-tasks created.
  • A list of Epic names with their Jira keys.
  • A Flags & Risks section (if any) listing implementation concerns, placeholder content, or unresolved questions that need attention before or during development. This is for risks only — do not use it to report skipped design elements.

平台分布

Codex

39.19%
按下载量换算71

Claude

30.44%
按下载量换算55

Cursor

18.71%
按下载量换算34

Gemini CLI

9.06%
按下载量换算16

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/digitalspeed/ai-skills --skill figma-to-jira 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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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