project-documentation-to-confluence
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git clone --depth 1 https://github.com/testdouble/han /tmp/project-documentation-to-confluence && cp -r /tmp/project-documentation-to-confluence/han.atlassian/skills/project-documentation-to-confluence ~/.claude/skills/project-documentation-to-confluenceSKILL.md
# Project Documentation to Confluence This skill produces project documentation with the core `han.core:project-documentation` skill, lets the user review the result, and then publishes it to a Confluence location that **the user must specify**. It is a thin orchestrator: the documentation work belongs to `han.core:project-documentation`, and the publishing work belongs to `han.atlassian:markdown-to-confluence`. This skill only validates its inputs, runs the documentation to a temporary file, gets the user's review and publish choice, and hands the file to the publisher. The five steps below are the whole skill. It does not resolve Confluence pages or call the Confluence MCP create/update tools itself; `han.atlassian:markdown-to-confluence` owns all of that. ## Step 1: Validate Inputs Confirm the skill has everything it needs before spending effort producing documentation: 1. **Atlassian MCP reachable (hard requirement).** Call `mcp__claude_ai_Atlassian__getAccessibleAtlassianResources` to confirm the server is connected and 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 it once it is connected. Do not fall back to a local-only run; for local-only documentation, point them at `han.core:project-documentation`. This preflight runs first so a missing server fails before any documentation is generated. 2. **A documentation subject.** Confirm the request names a feature, system, component, or existing doc to document. This is forwarded to `han.core:project-documentation` verbatim in Step 2. 3. **A Confluence destination.** Confirm the request provides a target location: a **Confluence page URL** (to update that page, or create a child under it), or a **space** (key or name) plus an optional **parent page**. If none was provided, ask for one with `AskUserQuestion`, explaining plainly that the skill needs an exact destination because it does not search Confluence. Do not resolve the page tree here — only confirm a location was given. Carry it through to Step 5; `han.atlassian:markdown-to-confluence` resolves it. ## Step 2: Produce the Documentation to a Temporary File Invoke the `han.core:project-documentation` skill with the **Skill** tool, **forwarding all provided context** verbatim: the feature name or document path argument, the scope, any known entry points, and the relevant conversation context. Do not summarize, trim, or reinterpret the user's context; pass it through so `han.core:project-documentation` runs exactly as it would on its own — **except** add one explicit instruction: it must write the resulting documentation to a file under `/tmp/` (for example `/tmp/<feature-slug>.md`) rather than into the project's docs directory. This keeps the working draft out of the repo until the user decides to publish it. Let `han.core:project-documentation` complete its full process (codebase exploration, writing the doc, content audit, information-architecture review, and verification). **Capture the exact `/tmp/` file path it wrote.** That markdown file is the source content for Confluence. Proceed to Step 3 once it finishes. ## Step 3: Show the File for Review Tell the user the exact `/tmp/` path of the generated documentation so they can open and review it before deciding whether to publish. State plainly that the content has not been published anywhere yet. ## Step 4: Confirm the Publish Choice Publishing to Confluence puts the content where other people can see it, so require an explicit choice before posting. Ask with `AskUserQuestion`, restating the **`/tmp/` file path** and the **Confluence destination** the user provided. Offer three options, listing the draft option first as the recommended default: - **"Yes, save it as a draft to edit later (recommended)"** — published as an unpublished Confluence draft for the user to review, edit, and publish themselves. This is the default. (Publish mode: **draft**.) - **"Yes, publish it live now"** — the page goes live immediately. (Publish mode: **live**.) - **"No, keep it local only"** — nothing is published. If the user keeps it local only, **stop**. Report the `/tmp/` doc path and state clearly that nothing was published to Confluence. Otherwise, record the chosen publish mode (draft or live) for Step 5. ## Step 5: Publish with markdown-to-confluence Invoke the `han.atlassian:markdown-to-confluence` skill with the **Skill** tool, forwarding: - the **`/tmp/` markdown file path** captured in Step 2, - the **Confluence destination** the user provided in Step 1 (the page URL, or the space plus optional parent page), passed through verbatim, and - the **publish mode** the user chose in Step 4 (`draft` or `live`), stated explicitly so `han.atlassian:markdown-to-confluence` does not re-ask. `han.atlassian:markdown-to-confluence` resolves the location, reads the file, creates or updates the page in the chosen mode, handles Mermaid diagrams, and reports the resulting page URL. Relay its result to the user: the created or updated page's URL and whether it went live or was saved as a draft. If publishing fails, report the error and confirm the `/tmp/` markdown file is unchanged and intact. ## Verification 1. **Inputs validated:** the Atlassian server was reachable, a documentation subject was present, and a Confluence location was provided — or the skill stopped before doing any work. 2. **Doc produced to /tmp:** `han.core:project-documentation` ran with the full forwarded context and wrote the documentation to a `/tmp/` file whose path was captured. 3. **User reviewed:** the `/tmp/` path was shown to the user before any publish. 4. **Explicit choice obtained:** the user chose draft, live, or loc
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Performs deep architectural analysis of a specified module, directory, or feature area by examining structural coupling, data flow, concurrency patterns, risk, and SOLID alignment. Use when the user wants to assess, evaluate, or review the architecture, design quality, dependency structure, coupling, cohesion, or technical debt of an existing part of the codebase. Not for investigating specific bugs, runtime errors, or failures — use investigate. Not for test planning — use test-planning. Not for file-level code review — use code-review. Not for researching open-ended options, prior art, or how something works — use research. Not for writing documentation or architectural decision records.
Run a comprehensive code review on local source files. Use this skill when the user asks to review, audit, inspect, evaluate, or check code, even if they never use the word \"review.\" Does not post comments to GitHub pull requests — use post-code-review-to-pr for that. Does not analyze architectural structure or module boundaries — use architectural-analysis for that. Does not capture feedback on Han's own skills — use han-feedback for that.
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