author-contributions

작성자: microsoft

특정 작성자가 브랜치와 상위 브랜치에서 기여한 모든 파일을 식별하며, 이름 변경을 추적합니다. 누가 무엇을 편집했는지, 어떤 코드를 물어볼 때 사용합니다.

npx skills add https://github.com/microsoft/vscode --skill author-contributions

When asked to find all files a specific author contributed to on a branch (compared to main or another upstream), follow this procedure. The goal is to produce a simple table that both humans and LLMs can consume.

Run as a Subagent

This skill involves many sequential git commands. Delegate it to a subagent with a prompt like:

Find every file that author "Full Name" contributed to on branch <branch> compared to <upstream>. Trace contributions through file renames. Return a markdown table with columns: Status (DIRECT or VIA_RENAME), File Path, and Lines (+/-). Include a summary line at the end.

Procedure

1. Identify the author's exact git identity

git log --format="%an <%ae>" <upstream>..<branch> | sort -u

Match the requested person to their exact --author= string. Do not guess — short usernames won't match full display names (resolve via git log or the GitHub MCP get_me tool).

2. Collect all files the author directly committed to

git log --author="<Exact Name>" --format="%H" <upstream>..<branch>

For each commit hash, extract touched files:

git diff-tree --no-commit-id --name-only -r <hash>

Union all results into a set (author_files).

3. Build rename map across the entire branch

For every commit on the branch (not just the author's), extract renames:

git diff-tree --no-commit-id -r -M <hash>

Parse lines with R status to build a map: new_path → {old_paths}.

4. Get the merge diff file list

git diff --name-only <upstream>..<branch>

These are the files that will actually land when the branch merges.

5. Classify each file in the merge diff

For each file in step 4:

  • If it's in author_files → DIRECT
  • Else, walk the rename map transitively (follow chains: current → old → older) and check if any ancestor is in author_files → VIA_RENAME
  • Otherwise → not this author's contribution

6. Get diff stats

git diff --stat <upstream>..<branch> -- <file1> <file2> ...

7. Return the table

Format the result as a markdown table:

| Status | File | +/- |
|--------|------|-----|
| DIRECT | src/vs/foo/bar.ts | +120/-5 |
| VIA_RENAME | src/vs/baz/qux.ts | +300 |
| ... | ... | ... |

**Total: N files, +X/-Y lines**

Important Notes

  • Use Python for the heavy lifting. Shell loops with inline comments break in zsh. Write a temp .py script, run it, then delete it.
  • Author matching is exact. Always run step 1 first. --author does substring matching but you must verify the right person is matched (e.g., don't match "Joshua Smith" when looking for "Josh S."). Use the GitHub MCP get_me tool or git log output to resolve the correct full name.
  • Renames can be multi-hop. A file may have moved contrib/chat/ → agentSessions/ → sessions/. The rename map must be walked transitively.
  • Only report files in the merge diff (step 4). Files the author touched that were later deleted entirely should not appear — they won't land in the upstream.
  • The rename map must include all authors' commits, not just the target author's. Other people often do the rename commits (e.g., bulk refactors/moves).

Example Python Script

import subprocess, os

os.chdir('<repo_root>')
UPSTREAM = 'main'
AUTHOR = '<Author Name>'  # Resolve via `git log` or GitHub MCP `get_me`

# Step 2: author's files
commits = subprocess.check_output(
    ['git', 'log', f'--author={AUTHOR}', '--format=%H', f'{UPSTREAM}..HEAD'],
    text=True).strip().split('\n')
author_files = set()
for h in (c for c in commits if c):
    files = subprocess.check_output(
        ['git', 'diff-tree', '--no-commit-id', '--name-only', '-r', h],
        text=True).strip().split('\n')
    author_files.update(f for f in files if f)

# Step 3: rename map from ALL commits
all_commits = subprocess.check_output(
    ['git', 'log', '--format=%H', f'{UPSTREAM}..HEAD'],
    text=True).strip().split('\n')
rename_map = {}  # new_name -> set(old_names)
for h in (c for c in all_commits if c):
    out = subprocess.check_output(
        ['git', 'diff-tree', '--no-commit-id', '-r', '-M', h],
        text=True, timeout=5).strip()
    for line in out.split('\n'):
        if not line:
            continue
        parts = line.split('\t')
        if len(parts) >= 3 and 'R' in parts[0]:
            rename_map.setdefault(parts[2], set()).add(parts[1])

# Step 4: merge diff
diff_files = subprocess.check_output(
    ['git', 'diff', '--name-only', f'{UPSTREAM}..HEAD'],
    text=True).strip().split('\n')

# Step 5: classify
results = []
for f in (x for x in diff_files if x):
    if f in author_files:
        results.append(('DIRECT', f))
    else:
        # walk rename chain
        chain, to_check = set(), [f]
        while to_check:
            cur = to_check.pop()
            if cur in chain:
                continue
            chain.add(cur)
            to_check.extend(rename_map.get(cur, []))
        chain.discard(f)
        if chain & author_files:
            results.append(('VIA_RENAME', f))

# Step 6: stats
if results:
    stat = subprocess.check_output(
        ['git', 'diff', '--stat', f'{UPSTREAM}..HEAD', '--'] +
        [f for _, f in results], text=True)
    print(stat)

# Step 7: table
for kind, f in sorted(results, key=lambda x: x[1]):
    print(f'| {kind:12s} | {f} |')
print(f'\nTotal: {len(results)} files')

Alternative Script

After following the process above, run this script to cross-check files touched by an author against the branch diff. You can do this both with an without src/vs/sessions.

AUTHOR=""

# 1. Find commits by author on this branch (not on main)
git log main...HEAD --author="$AUTHOR" --format="%H"

# 2. Get unique files touched across all those commits, excluding src/vs/sessions/
git log main...HEAD --author="$AUTHOR" --format="%H" \
  | xargs -I{} git diff-tree --no-commit-id -r --name-only {} \
  | sort -u \
  | grep -v '^src/vs/sessions/'

# 3. Cross-reference with branch diff to keep only files still changed vs main
git log main...HEAD --author="$AUTHOR" --format="%H" \
  | xargs -I{} git diff-tree --no-commit-id -r --name-only {} \
  | sort -u \
  | grep -v '^src/vs/sessions/' \
  | while read f; do git diff main...HEAD --name-only -- "$f" 2>/dev/null; done \
  | sort -u

microsoft의 다른 스킬

oss-growth
microsoft
OSS 성장 해커 페르소나
agent-framework-azure-ai-py
microsoft
Microsoft Agent Framework Python SDK(agent-framework-azure-ai)를 사용하여 Azure AI Foundry 에이전트를 구축합니다. AzureAIAgentsProvider로 지속적 에이전트를 만들 때, 호스팅 도구(코드 인터프리터, 파일 검색, 웹 검색)를 사용할 때, MCP 서버를 통합할 때, 대화 스레드를 관리할 때, 또는 스트리밍 응답을 구현할 때 사용합니다. 함수 도구, 구조화된 출력, 다중 도구 에이전트를 다룹니다.
development
airunway-aks-setup
microsoft
AKS에서 AI Runway 설정 — 빈 클러스터에서 실행 중인 모델까지. 클러스터 검증, 컨트롤러 설치, GPU 평가, 공급자 설정, 첫 배포를 다룹니다. 시기: "AI Runway 설정", "AKS 클러스터 온보딩", "AI Runway 설치", "airunway 설정", "AKS에 모델 배포", "AKS에서 GPU 추론", "AKS에서 KAITO 설정", "AKS에서 LLM 실행", "AKS에서 vLLM", "AKS에서 모델 서빙 설정", "AI Runway 컨트롤러".
devops
appinsights-instrumentation
microsoft
Azure Application Insights로 웹앱을 계측하기 위한 지침입니다. 원격 분석 패턴, SDK 설정, 구성 참조를 제공합니다. WHEN: 앱 계측 방법, App Insights SDK, 원격 분석 패턴, App Insights란 무엇인가, Application Insights 지침, 계측 예시, APM 모범 사례.
devops
applicationinsights-web-ts
microsoft
브라우저/웹 앱을 Application Insights JavaScript SDK(@microsoft/applicationinsights-web)로 계측합니다. Real User Monitoring(RUM) — 페이지 뷰, 클릭, AJAX/fetch 종속성, 예외, 사용자 지정 이벤트, 백엔드 OpenTelemetry 트레이스와 상관관계가 있는 브라우저 측 GenAI 에이전트 트레이스에 사용합니다. SDK Loader Script 및 npm 설정, 프레임워크 확장(React, React Native, Angular), Click Analytics, 텔레메트리 이니셜라이저, 브라우저에서 생성된 에이전트/도구/모델 스팬에 대한 OTel GenAI 의미론적 규칙을 다룹니다.
devops
azure-ai-anomalydetector-java
microsoft
Azure AI Anomaly Detector SDK for Java로 이상 탐지 애플리케이션을 구축하세요. 단변량/다변량 이상 탐지, 시계열 분석 또는 AI 기반 모니터링을 구현할 때 사용하세요.
development
azure-ai-language-conversations-py
microsoft
azure-ai-language-conversations Python SDK를 사용하여 대화형 언어 이해(CLU)를 구현합니다. ConversationAnalysisClient로 대화 의도와 엔터티를 분석하거나, NLP 기능을 구축하거나, 애플리케이션에 언어 이해를 통합할 때 사용합니다.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python. ML 작업 영역, 작업, 모델, 데이터 세트, 컴퓨팅 및 파이프라인에 사용합니다. 트리거: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development