Markdown To Confluence logo

Markdown To Confluence

Organization
testdouble
markdown-to-confluence

Publishes a local Markdown file to a user-specified Confluence location, creating a new page or updating an existing one through the Atlassian MCP server. Use when the user wants to post, publish, push, or sync a Markdown file to a Confluence space or page. Requires a configured Atlassian MCP server. Does not write or generate the Markdown itself — point it at an existing file, or use project-documentation-to-confluence for the document-then-publish flow, or plan-a-feature-to-confluence for the plan-then-publish flow. Does not publish to Jira — use work-items-to-jira.

Overview

Publishertestdouble
Repositoryhan
Skill namemarkdown-to-confluence
Stars
320
Forks
26
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by testdouble on GitHub. Read the source before you install it.

Installation

Install the Markdown To Confluence AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/testdouble/han/tree/main/han-atlassian/skills/markdown-to-confluence
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/testdouble/han.git /tmp/han
mkdir -p .claude/skills
cp -r /tmp/han/han-atlassian/skills/markdown-to-confluence .claude/skills/markdown-to-confluence
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Markdown To Confluence in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Markdown To Confluence on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Markdown To Confluence is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Project Context

  • personal config directory: !bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh" 2>/dev/null || echo "$HOME/.claude"
  • project .han/config.md: !cat .han/config.md 2>/dev/null || echo ""

As your first action, use the Read tool on .han/config.md inside the personal config directory path above. A read that returns no file is no personal configuration: continue silently. When that file or the project .han/config.md probe supplies content, apply it per config-rule.md, which governs precedence between the two files, relative-path resolution, and what to do with a file that reads but cannot be used.

Markdown to Confluence

This skill takes one local Markdown file and publishes it to a Confluence location that the user must specify — creating a new page or updating an existing one through the Atlassian MCP server. It owns everything about the posting itself: the MCP preflight, resolving the destination, reading the file, the create-or-update call, and reporting the result. It does not write the Markdown; the caller supplies an existing file.

Callers that supply an explicit publish mode and location (for example han-atlassian:project-documentation-to-confluence) run this skill straight through without re-asking. Invoked on its own with pieces missing, it asks for them and defaults to a safe unpublished draft.

Step 0: Atlassian MCP Preflight (hard requirement)

This skill cannot run without a configured and connected Atlassian MCP server.

Confirm the server is reachable by calling mcp__claude_ai_Atlassian__getAccessibleAtlassianResources to retrieve the cloud ID(s). If the tool is not available, the call errors, or it returns no accessible resources (typically an authentication or configuration problem), stop immediately. Tell the user this skill requires the Atlassian MCP server to be installed, configured, and authenticated, and that they can re-run the skill once it is connected.

If more than one cloud / site is accessible, note which sites are available; you will confirm the correct one while resolving the location in Step 2.

Step 1: Confirm the Source Markdown File

Resolve the Markdown file path from the arguments or conversation. Read it and confirm it exists and has content. If no file path was provided, or the path does not resolve to a readable file, ask the user for the path with AskUserQuestion and do not proceed without one. This is the exact content that will be posted; do not rewrite, summarize, or restructure it.

A body may legitimately contain embedded Confluence storage macros mixed into the Markdown — for example, an orchestrating skill such as han-atlassian:plan-a-feature-to-confluence rewrites its cross-page links into title-based page-link macros (the <ac:link><ri:page ri:content-title="..."/>…</ac:link> form, link body included) before handing the file over. Post these verbatim along with the rest of the body; do not strip or escape them.

Step 2: Resolve the Target Confluence Location (required)

This skill does not search Confluence for the right place. A typical Confluence instance is large and full of duplicate or similarly-named pages, so guessing the destination is unreliable. The user must name the exact location.

  1. Find a location in the request. Check the arguments and conversation for either of:
    • a Confluence page URL (to update that page, or to create a child page under it), or
    • a space (key or name) plus an optional parent page (title, ID, or URL).
  2. If no location was provided, ask for one. Use AskUserQuestion to request it, and explain plainly that the skill needs an exact destination because it does not search Confluence. Offer both accepted forms (a page URL, or a space plus parent page). This is required: do not proceed without a location.
  3. Resolve the location concretely now, so failures surface early. Use the cloud ID from Step 0 for every call.
    • From a page URL: extract the page ID from the /pages/<id>/ segment and call mcp__claude_ai_Atlassian__getConfluencePage to confirm it exists and to read its space and title. Then determine the intent: update that page, or create a new child page under it. If the user did not already say, ask with AskUserQuestion.
    • From a space (+ parent): call mcp__claude_ai_Atlassian__getConfluenceSpaces to resolve the space ID from the key or name. If a parent page was named, find it with mcp__claude_ai_Atlassian__getPagesInConfluenceSpace or mcp__claude_ai_Atlassian__getConfluencePageDescendants (or by page ID/URL) to get the parent page ID. With no parent, the new page is created at the space root.
  4. Record the resolved target: cloud ID, space (ID + human name), parent page ID (if any), existing page ID (if updating), the mode (create a new page, or update an existing one), and the intended page title. If updating, default the title to the existing page's title unless the user asked to rename it.

Step 3: Determine the Publish Mode

The publish mode controls whether the page goes live or is saved as an unpublished draft.

  • If the caller supplied an explicit mode (draft or live), use it. A caller that already confirmed the choice with the user (such as han-atlassian:project-documentation-to-confluence) passes the mode through; do not ask again.
  • If no mode was supplied, default to draft so nothing is published live unintentionally. The user can re-run for live, or you may confirm with AskUserQuestion whether to save a draft (recommended default) or publish live now.

Step 4: Publish to Confluence

Read the Markdown file from Step 1 and publish it with the Atlassian MCP server. The Confluence MCP tools accept Markdown directly via contentFormat: "markdown", so post the document body as-is — no manual conversion to storage/XHTML is needed. Any embedded storage macros (such as the ac:link page-link macros described in Step 1) ride along in the same body; post them verbatim.

Apply the publish mode from Step 3 with the create/update tool's status parameter: draft → status: "draft" (unpublished draft), live → status: "current" (immediately visible). Confirm the exact field against the tool's input schema when you call it, and use whatever the tool exposes for draft-vs-published.

  • Create mode: call mcp__claude_ai_Atlassian__createConfluencePage with the cloud ID, space ID, title, the markdown body, contentFormat: "markdown", the chosen status ("draft" or "current"), and the parent page ID when one was resolved.
  • Update mode: call mcp__claude_ai_Atlassian__getConfluencePage first to read the current page (for its version and existing content), then call mcp__claude_ai_Atlassian__updateConfluencePage with the cloud ID, page ID, title, the markdown body, contentFormat: "markdown", and the chosen status. If the user chose draft for a page that is already published and the tool cannot hold an unpublished draft over a live page, do not silently publish it live: tell the user, and ask whether to publish the update live or keep the changes local only.

Diagram note: Markdown produced by Han's documentation skills emits Mermaid diagrams in fenced mermaid code blocks. Confluence does not render Mermaid natively without a Mermaid macro, so these blocks publish as code, not rendered diagrams. Leave them intact — do not silently strip them — and tell the user the diagrams posted as Mermaid source, in case their space has a macro that renders them or they want to convert them by hand.

On success, report the created or updated page's URL, and state whether it was published live or saved as a draft. For a draft, make clear the user still needs to review and publish it in Confluence. On failure, report the error and confirm the source Markdown file is unchanged and intact.

Step 5: Verification

  1. MCP preflight passed: the Atlassian server was reachable, or the skill stopped before doing any work.
  2. Source file confirmed: a readable Markdown file was supplied and read.
  3. Location was user-specified: the destination came from the user, never from an automated Confluence search.
  4. Publish reported: the page was created or updated in the chosen mode (live or draft) and its URL was returned.

Frequently asked questions

What does the Markdown To Confluence AI skill do?

Publishes a local Markdown file to a user-specified Confluence location, creating a new page or updating an existing one through the Atlassian MCP server. Use when the user wants to post, publish, push, or sync a Markdown file to a Confluence space or page. Requires a configured Atlassian MCP server. Does not write or generate the Markdown itself — point it at an existing file, or use project-documentation-to-confluence for the document-then-publish flow, or plan-a-feature-to-confluence for the plan-then-publish flow. Does not publish to Jira — use work-items-to-jira.

Why use Markdown To Confluence on TypingMind?

Because you install it once and use it with any model. Markdown To Confluence is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Markdown To Confluence in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/testdouble/han/tree/main/han-atlassian/skills/markdown-to-confluence. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Markdown To Confluence?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Markdown To Confluence?

As many as you like. As long as a model supports skills, you can use Markdown To Confluence with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Markdown To Confluence AI skill free?

Yes. It is published on GitHub by testdouble under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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