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spillwavesolutions/confluence-skill · updated Apr 8, 2026

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$npx skills add https://github.com/spillwavesolutions/confluence-skill --skill confluence
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summary

Manage Confluence documentation through Claude Code: download pages to Markdown, upload large documents with images, convert between formats, and integrate Mermaid/PlantUML diagrams.

skill.md

Confluence Management Skill

Manage Confluence documentation through Claude Code: download pages to Markdown, upload large documents with images, convert between formats, and integrate Mermaid/PlantUML diagrams.

Table of Contents

Quick Decision Matrix

Task Tool Notes
Read pages MCP tools confluence_get_page, confluence_search
Small text-only uploads (<10KB) MCP tools confluence_create_page, confluence_update_page
Large documents (>10KB) upload_confluence_v2.py REST API, no size limits
Documents with images upload_confluence_v2.py Handles attachments automatically
Git-to-Confluence sync mark CLI Best for CI/CD workflows
Download pages to Markdown download_confluence.py Converts macros, downloads attachments

MCP Size Limits

MCP tools have size limits (10-20KB) for uploads. For large documents or pages with images, use the REST API via upload_confluence_v2.py:

# Upload large document
python3 ~/.claude/skills/confluence/scripts/upload_confluence_v2.py \
    document.md --id 780369923

# Dry-run preview
python3 ~/.claude/skills/confluence/scripts/upload_confluence_v2.py \
    document.md --id 780369923 --dry-run

MCP works for reading pages but not for uploading large content.

Prerequisites

Required

  • Atlassian MCP Server (mcp__atlassian-evinova) with Confluence credentials

Optional

  • mark CLI: Git-to-Confluence sync (brew install kovetskiy/mark/mark)
  • Mermaid CLI: Diagram rendering (npm install -g @mermaid-js/mermaid-cli)

Core Workflows

Download Pages to Markdown

# Single page
python3 ~/.claude/skills/confluence/scripts/download_confluence.py 123456789

# With child pages
python3 ~/.claude/skills/confluence/scripts/download_confluence.py --download-children 123456789

# Custom output directory
python3 ~/.claude/skills/confluence/scripts/download_confluence.py --output-dir ./docs 123456789

See Downloading Guide for details.

Upload Pages with Images

  1. Convert diagrams to images first using design-doc-mermaid or plantuml skills
  2. Reference images with standard markdown: ![Description](./images/diagram.png)
  3. Upload via REST API:
python3 ~/.claude/skills/confluence/scripts/upload_confluence_v2.py \
    document.md --id PAGE_ID

See Image Handling Best Practices for details.

Search Confluence

mcp__atlassian-evinova__confluence_search({
  query: 'space = "DEV" AND text ~ "API"',
  limit: 10
})

Create/Update Pages (Small Documents)

// Create page
mcp__atlassian-evinova__confluence_create_page({
  space_key: "DEV",
  title: "API Documentation",
  content: "h1. Overview\n\nContent here...",
  content_format: "wiki"
})

// Update page
mcp__atlassian-evinova__confluence_update_page({
  page_id: "123456789",
  title: "Updated Title",
  content: "h1. New Content",
  version_comment: "Updated via Claude Code"
})

Sync from Git (mark CLI)

Add metadata to Markdown files:

<!-- Space: DEV -->
<!-- Parent: Documentation -->
<!-- Title: API Guide -->

# API Guide
Content...

Sync to Confluence:

mark -f documentation.md
mark --dry-run -f documentation.md  # Preview first

See mark Tool Guide for details.

Convert Between Formats

See Conversion Guide for the complete conversion matrix.

Quick reference:

Markdown Wiki Markup
# Heading h1. Heading
**bold** *bold*
*italic* _italic_
`code` {{code}}
[text](url) [text|url]

Reference Documentation

Detailed guides in the references/ directory:

Guide Purpose
Wiki Markup Reference Complete syntax for Confluence Wiki Markup
Conversion Guide Markdown to Wiki Markup conversion rules
Storage Format Confluence XML storage format details
Image Handling Workflows for images, Mermaid, PlantUML
mark Tool Guide Git-to-Confluence sync with mark CLI
Troubleshooting Common errors and solutions

Available MCP Tools

Tool Description
confluence_search Search using CQL or text
confluence_get_page Retrieve page by ID or title
confluence_create_page Create new page
confluence_update_page Update existing page
confluence_delete_page Delete page
confluence_get_page_children Get child pages
confluence_add_label Add label to page
confluence_get_labels Get page labels
confluence_add_comment Add comment to page
confluence_get_comments Get page comments

Utility Scripts

Script Purpose
scripts/upload_confluence_v2.py Upload large documents with images
scripts/download_confluence.py Download pages to Markdown
scripts/convert_markdown_to_wiki.py Convert Markdown to Wiki Markup
scripts/convert_wiki_to_markdown.py Convert Wiki Markup to Markdown
scripts/render_mermaid.py Render Mermaid diagrams

Version: 2.1.0 | Last Updated: 2025-01-21

how to use confluence

How to use confluence on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add confluence
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/spillwavesolutions/confluence-skill --skill confluence

The skills CLI fetches confluence from GitHub repository spillwavesolutions/confluence-skill and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/confluence

Reload or restart Cursor to activate confluence. Access the skill through slash commands (e.g., /confluence) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.6★★★★★34 reviews
  • ★★★★★Kofi Sanchez· Dec 28, 2024

    confluence is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Xiao Malhotra· Dec 20, 2024

    confluence reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Isabella Rahman· Nov 19, 2024

    Keeps context tight: confluence is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Min Verma· Nov 11, 2024

    confluence has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Isabella Diallo· Oct 10, 2024

    I recommend confluence for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Min Menon· Oct 2, 2024

    confluence fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Oshnikdeep· Sep 25, 2024

    Keeps context tight: confluence is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Meera Wang· Sep 17, 2024

    confluence reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Lucas Sanchez· Sep 1, 2024

    confluence has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Zara Thomas· Aug 20, 2024

    confluence fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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