By labrinyang
Connect PM, Dev, and QA context in AI-native development. Shared Jira, Confluence, and Figma context across Claude Code sessions — for teams and solo developers working in multiple terminals.
Use when the user works with or mentions Figma designs, prototypes, mockups, UI specs, design tokens, or design-to-code workflows
Use when the user works with or mentions Jira issues, tickets, stories, bugs, tasks, sprints, epics, or any agile workflow
Guides MCP setup for Atlassian and Figma integration. Use when the user needs to set up, configure, or troubleshoot MCP server connections for Jira, Confluence, or Figma.
Use when the user works with or mentions Confluence wiki, product docs, documentation pages, or knowledge base content
Executes bash commands
Hook triggers when Bash tool is used
Uses power tools
Uses Bash, Write, or Edit tools
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Connect PM, Dev, and QA context in AI-native development. Brings Jira issues, Confluence docs, Figma designs, and code into one workflow loop inside Claude Code — so the AI agent understands what to build, why, and when to close the loop.
Works for teams and solo developers. A single developer running multiple Claude Code terminals gets shared context across sessions — every terminal can pull the same Jira tasks, wiki specs, and Figma designs without copy-pasting URLs or issue numbers between windows.
When developers work with AI agents, the agent only sees code. It doesn't know what the PM specified, what tasks are in the sprint, what the product docs say, or what the design looks like. This plugin bridges that gap:
From marketplace:
/plugin marketplace add labrinyang/cowork-with-marketplace
/plugin install cowork-with@cowork-with-marketplace
Local development:
claude --plugin-dir /path/to/cowork-with
This plugin requires two MCP servers installed at the user level. Run these in your terminal (outside Claude Code):
claude mcp add --transport sse -s user atlassian https://mcp.atlassian.com/v1/sse
claude mcp add --transport http -s user figma https://mcp.figma.com/mcp
Restart Claude Code after installing, then run:
/cowork-with:cowork-with-onboarding
This walks you through:
/mcp -> atlassian -> OAuth/mcp -> figma -> OAuth/cowork-with:cowork-with-jira <- activate Jira workflow
Create a story for... <- issues follow conventions automatically
What's in my sprint? <- sprint-aware queries
Fix the bug in... <- commit triggers task closure check
/cowork-with:cowork-with-wiki <- activate Wiki workflow
What does the product spec say about... <- reads product docs
Search the wiki for... <- CQL-powered search
/cowork-with:cowork-with-figma <- activate Figma workflow
Implement this design: <figma-url> <- reads design context, generates code
Extract the design tokens from... <- colors, spacing, typography
| Skill | Command | Purpose |
|---|---|---|
| Jira | /cowork-with:cowork-with-jira | Issue CRUD, sprints, epics, status transitions |
| Wiki | /cowork-with:cowork-with-wiki | Read product docs, search Confluence, manage personal pages |
| Figma | /cowork-with:cowork-with-figma | Design-to-code, design tokens, Code Connect, screenshots |
| Onboarding | /cowork-with:cowork-with-onboarding | Setup: global MCP servers + authentication |
Everyone uses Claude Code. Everyone stays in their lane. The plugin connects the context.
PM Dev QA
Claude Code Claude Code Claude Code
+------------------+ +------------------+ +------------------+
| Figma designs | | Jira tasks | | Wiki specs |
| Wiki specs | | Wiki specs | | Figma designs |
| Jira issues | | Figma designs | | Code + git |
| | | Code + git | | Jira issues |
| | | | | |
| Focus: | | Focus: | | Focus: |
| Product design, | | Engineering, | | Full-context |
| docs, logic | | implementation | | quality review |
+--------+---------+ +--------+---------+ +--------+---------+
| | |
+-------------------------+--------------------------+
Shared: Jira + Confluence + Figma
PM focuses on product — designs in Figma, specs in Confluence. When reviewing implementation, PM uses Claude Code to brainstorm, analyze the code, and inspect the running result. Then creates rich, context-aware Jira issues with background, acceptance criteria, and Figma links — all without writing code.
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