Retrieve human architect review comments from APIView for a date range. Use for: architect comments, human comments, reviewer comments, board comments, architect comments for March, what did architects say, human review comments.
npx skills add https://github.com/Azure/azure-sdk-tools --skill report-architect-comments
This command returns comments written by human language board approvers in APIView. It excludes:
The set of approvers is determined from the APIView Permissions container — members of groups whose roles include "Architect" or "Deputy Architect" for the specified language. When no language is specified, all architect and deputy-architect group members are included.
Use --all-commenters to skip approver filtering and return comments from all users.
Unless the user says otherwise, always apply these defaults:
production--language unless user specifies one)--format)The user will typically specify a calendar month by name (e.g. "March", "January 2025"). Resolve to the full month date range:
| User says | start_date | end_date |
|-----------|-----------|----------|
| "March" (current year) | YYYY-03-01 | YYYY-03-31 |
| "January 2025" | 2025-01-01 | 2025-01-31 |
| "March 1 to March 15" | YYYY-03-01 | YYYY-03-15 |
When only a month name is given without a year, use the current year. Be careful with month lengths (28/29/30/31 days).
Show the resolved command and run it immediately in a foreground terminal with a 120-second timeout (timeout: 120000). Redirect to a file since output can be very large.
Full terminal command (cleanup + run):
New-Item -ItemType Directory -Path output -Force | Out-Null; if (Test-Path output/architect_comments_output.json) { Remove-Item output/architect_comments_output.json }; python cli.py report architect-comments -s <start_date> -e <end_date> | Out-File -Encoding UTF8 output/architect_comments_output.json
After the command completes, read the output file with read_file to get the JSON results. Summarize the findings for the user (total count, languages covered, common themes, etc.).
For follow-up questions about the same data (filtering, counting, searching), read the output file with read_file instead of re-running the command. The file is at output/architect_comments_output.json.
# All architect comments for March 2026
python cli.py report architect-comments -s 2026-03-01 -e 2026-03-31
# Python architect comments only
python cli.py report architect-comments -s 2026-03-01 -e 2026-03-31 -l python
# All commenters (not just approvers)
python cli.py report architect-comments -s 2026-03-01 -e 2026-03-31 -l python --all-commenters
# Include reply comments (by default only first comment per thread is returned)
python cli.py report architect-comments -s 2026-03-01 -e 2026-03-31 -l java --include-replies
# YAML output
python cli.py report architect-comments -s 2026-03-01 -e 2026-03-31 --format yaml
# Staging environment
python cli.py report architect-comments -s 2026-03-01 -e 2026-03-31 --environment staging
| Flag | Type | Default | Description |
|------|------|---------|-------------|
| --start-date / -s | string | required | Start date (YYYY-MM-DD) |
| --end-date / -e | string | required | End date (YYYY-MM-DD) |
| --language / -l | string | all | Language to filter by (e.g., python, Go, C#) |
| --environment | string | production | production or staging |
| --format / -f | string | json | Output format: json or yaml |
| --all-commenters | flag | false | Include comments from all users, not just approvers |
| --include-replies | flag | false | Include reply comments. By default only the first comment per thread is returned |
read_file rather than relying on terminal output.python cli.py not .\avc: The avc.bat script may resolve to system Python.2>&1: Merges stderr into stdout, corrupting JSON. Only redirect stdout.>: Produces UTF-16 in PowerShell 5.1. Use | Out-File -Encoding UTF8.Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
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Take azure/report-architect-comments from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.