investigate-to-confluence
Investigate-to-confluence runs an evidence-based investigation using the core han-coding:investigate skill, presents the resulting report for user review, and publishes it to a Confluence page at a user-specified location. The skill orchestrates the investigation workflow by validating inputs (including Atlassian MCP connectivity), executing the investigation to a temporary file, obtaining user approval, and delegating publishing to han-atlassian:markdown-to-confluence.
git clone --depth 1 https://github.com/testdouble/han /tmp/investigate-to-confluence && cp -r /tmp/investigate-to-confluence/han-atlassian/skills/investigate-to-confluence ~/.claude/skills/investigate-to-confluenceSKILL.md
# Investigate to Confluence This skill runs an evidence-based investigation with the core `han-coding:investigate` skill, lets the user review the resulting report, and then publishes it to a Confluence location that **the user must specify**. It is a thin orchestrator: the investigation work belongs to `han-coding:investigate`, and the publishing work belongs to `han-atlassian:markdown-to-confluence`. This skill only validates its inputs, runs the investigation to a temporary file, gets the user's review and publish choice, and hands the file to the publisher. `han-coding:investigate` produces a **single** report file (the investigation plan: problem statement, evidence summary, root cause analysis, planned fix, validation results, and summary). It does not produce companion artifacts, so this skill publishes that one file as a single Confluence page — the single-page sibling of `han-atlassian:project-documentation-to-confluence`, not the parent-plus-children tree of `han-atlassian:plan-a-feature-to-confluence`. 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 on an investigation: 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 a local-only investigation, point them at `han-coding:investigate`. This preflight runs first so a missing server fails before any investigation work begins. 2. **A symptom or question to investigate.** Confirm the request names a bug, failure, error, integration, or unexpected behavior to investigate. This — together with any relevant conversation context — is forwarded to `han-coding:investigate` verbatim in Step 2. If the request is too thin to start, let `han-coding:investigate` run its own investigation rather than pre-empting it here. 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 Investigation Report to a Temporary File Invoke the `han-coding:investigate` skill with the **Skill** tool, **forwarding all provided context** verbatim: the symptom or question, any known reproduction steps or error messages, any suspected entry points, and the relevant conversation context. Do not summarize, trim, or reinterpret the user's context; pass it through so `han-coding:investigate` runs exactly as it would on its own (parallel investigators, conditional specialist analysts, adversarial validation, and the final report) — **except** add two explicit instructions: - It must write the resulting investigation report to a file under `/tmp/` (for example `/tmp/<symptom-slug>.md`) rather than into the project's docs or plans directory. This keeps the working report out of the repo until the user decides to publish it. - It must **stop after producing the report**. `han-coding:investigate` normally ends by presenting the plan for approval and can trigger the fix's implementation on approval; this skill wants the report only, so instruct it not to implement the fix or change any code — this skill publishes findings, it does not ship them. Let `han-coding:investigate` complete its full investigation process. **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 investigation report so they can open and review it before deciding whether to publish. State plainly that the content has not been published anywhere yet, and that no code was changed. ## 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/` report 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 **publis
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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.