/winui-session-report

name: winui-session-report
description: "Analyze the current or a recent agent session (GitHub Copilot CLI or Claude Code) and generate a diagnostic report. Use only when the user explicitly asks for session feedback, agent debugging, or a review of what happened during a build session. Do not inspect session data automatically."

Session Analysis Report

Generate a diagnostic report for an agent session by running the `Analyze-Session.ps1` script included with this skill. The script auto-detects whether the current session was produced by GitHub Copilot CLI or Claude Code from environment variables and on-disk file format, and dispatches to the appropriate parser. If neither harness can be detected, the script exits with a clear error.

> [!IMPORTANT] > Run this skill only when the user explicitly asks for session analysis or a report. If it is loaded without an explicit request, do not inspect session data; explain what the report contains and wait for confirmation.

Privacy and sensitivity — surface this guidance to the user

`Analyze-Session.ps1` always:

1. **Embeds a "Privacy and sensitivity" section at the top of the generated `session-report.md`** (right above the Overview table), and 2. **Prints a yellow PRIVACY NOTICE banner to the console** when it finishes writing the file.

**You (the agent) must surface this guidance to the user in your response — do not let it stay buried in script output the user might not have read.** When you finish running the script and reporting the findings, include a short privacy reminder in your reply to the user, in plain second-person language. Use this template, adapting wording as needed:

> ⚠️ **Heads-up before you share `session-report.md`** — this file contains your unredacted session transcript: file contents and paths the agent read or edited, your prompts verbatim (including any secrets you may have pasted), tool output, environment values, and local paths under `C:\Users\<you>\…`. You're responsible for what you share — please open the file in your editor and read it end-to-end before attaching it to a public issue, posting it in chat, or sending it outside your organization. Redact anything sensitive. If you only need to share the high-level metrics, ask me to summarize the file instead of attaching it.

If the user only wants the high-level metrics (turn counts, skill usage, build success rate) without the per-turn detail, summarize the report and share the summary instead of the file — and tell the user that's what you're doing so they don't have to read it themselves to confirm.

Steps

1. **Run the analysis script** to generate the report:

# Analyze the most recent session (auto-detects harness) and save report
.\Analyze-Session.ps1 -OutputFile session-report.md

# Or analyze a specific session by ID (searched in both harness locations)
.\Analyze-Session.ps1 -SessionId "<session-id>" -OutputFile session-report.md

# Or analyze a transcript file directly (format sniffed from content)
.\Analyze-Session.ps1 -EventsFile <path-to-transcript.jsonl> -OutputFile session-report.md

# Force a specific format if auto-detection picks the wrong harness
.\Analyze-Session.ps1 -Format ClaudeCode -OutputFile session-report.md

# Skip subagent transcripts (Claude Code only) for a parent-only view
.\Analyze-Session.ps1 -SkipSubagents -OutputFile session-report.md

Detection rules:

• The current session is preferred when an explicit ID is available: `COPILOT_AGENT_SESSION_ID` (Copilot CLI) or `CLAUDE_SESSION_ID` (Claude Code) take priority over "most recently modified" so a parallel session in another terminal can't shadow the one the skill was invoked from.
• Environment first: `CLAUDECODE=1` or `CLAUDE_CODE_ENTRYPOINT` -> Claude Code; `COPILOT_*` env vars -> Copilot.
• For Claude Code, the most-recent JSONL whose `cwd` matches the current working directory is preferred.
• For an explicit `-EventsFile`, the format is sniffed from the first events.
• If neither harness is detected, the script exits with a non-zero status and a message naming both supported locations.

2. **Review the generated report** — read `session-report.md` and summarize key findings for the user:

• How many turns, how long, token usage
• What skills were loaded and when
• Build/run workflow and command-failure pattern
• Any stuck patterns or tooling issues detected

3. **Add your own observations** — append a section to the report with any additional context:

• Was the final app working? What's missing?
• Quality assessment of the generated code
• Suggestions specific to what went wrong

4. Include any tooling improvements or recommendations based on the analysis.

• Are there rules that need to be added to the Roslyn analyzer to prevent common mistakes detected during the session?
• Were there bugs or issues with `winapp new`, project-mode `winapp run`, `winapp find-ui`, or the BuildAndRun.ps1 wrapper?
• Are there features that could be added to lower the number of turns required to complete a task?

What the Report Covers

| Section | Details | |---------|---------| | Overview | Harness, session ID, model, duration, turns, tokens (incl. cache tokens for Claude Code) | | Prompt | The original user request | | Turn Breakdown | Turns and tokens by category (building, coding, exploring, subagent dispatch, etc.) | | Skills | Which were invoked and when, including from inside subagent transcripts | | Subagents | (Claude Code only) Per-agent breakdown of dispatched subagents and their work | | Build Analysis | Build-capable workflow attempts, command failures/errors, and whether project-mode winapp run / BuildAndRun.ps1 was used | | Stuck Patterns | Build loops, repeated file reads, obj/ clean cycles | | Tooling Issues | Auto-detected improvement opportunities | | Turn Detail | Every turn with tools used and errors flagged, parent and subagent transcripts shown separately |

When to Use

• When the user asks