API로 Agent Skills 사용하기

client = anthropic.Anthropic()

response = client.beta.messages.create(
    model="claude-opus-5",
    max_tokens=4096,
    betas=["code-execution-2025-08-25", "skills-2025-10-02"],
    container={
        "skills": [{"type": "anthropic", "skill_id": "pptx", "version": "latest"}]
    },
    messages=[
        {"role": "user", "content": "Create a presentation about renewable energy"}
    ],
    tools=[{"type": "code_execution_20250825", "name": "code_execution"}],
)

client = anthropic.Anthropic()

# 1단계: Skill을 사용하여 파일 생성
response = client.beta.messages.create(
    model="claude-opus-5",
    max_tokens=4096,
    betas=["code-execution-2025-08-25", "skills-2025-10-02"],
    container={
        "skills": [{"type": "anthropic", "skill_id": "xlsx", "version": "latest"}]
    },
    messages=[
        {
            "role": "user",
            "content": "Create an Excel file with a simple budget spreadsheet",
        }
    ],
    tools=[{"type": "code_execution_20250825", "name": "code_execution"}],
)


# 2단계: 응답에서 파일 ID 추출
def extract_file_ids(response):
    file_ids = []
    for item in response.content:
        if item.type == "bash_code_execution_tool_result":
            content_item = item.content
            if content_item.type == "bash_code_execution_result":
                # 각 콘텐츠 항목은 file_id를 포함하는 bash_code_execution_output 블록입니다
                for file in content_item.content:
                    file_ids.append(file.file_id)
    return file_ids


# 3단계: Files API를 사용하여 파일 다운로드
for file_id in extract_file_ids(response):
    file_metadata = client.beta.files.retrieve_metadata(file_id=file_id)
    file_content = client.beta.files.download(file_id=file_id)

    # 4단계: 디스크에 저장
    file_content.write_to_file(file_metadata.filename)
    print(f"Downloaded: {file_metadata.filename}")

client = anthropic.Anthropic()
file_id = "file_011CNha8iCJcU1wXNR6q4V8w"
# 파일 메타데이터 가져오기
file_info = client.beta.files.retrieve_metadata(file_id=file_id)
print(f"Filename: {file_info.filename}, Size: {file_info.size_bytes} bytes")

# 모든 파일 나열
for file in client.beta.files.list():
    print(f"{file.filename} - {file.created_at}")

# 파일 삭제
client.beta.files.delete(file_id=file_id)

client = anthropic.Anthropic()

# 첫 번째 요청이 컨테이너를 생성합니다
response1 = client.beta.messages.create(
    model="claude-opus-5",
    max_tokens=4096,
    betas=["code-execution-2025-08-25", "skills-2025-10-02"],
    container={
        "skills": [{"type": "anthropic", "skill_id": "xlsx", "version": "latest"}]
    },
    messages=[
        {"role": "user", "content": "Create a sample sales dataset and analyze it"}
    ],
    tools=[{"type": "code_execution_20250825", "name": "code_execution"}],
)

# 동일한 컨테이너로 대화를 계속합니다
messages = [
    {"role": "user", "content": "Create a sample sales dataset and analyze it"},
    {
        # 어시스턴트의 텍스트를 이어서 전달합니다. container.id가 실행 상태를 유지합니다
        "role": "assistant",
        "content": "\n".join(
            block.text for block in response1.content if block.type == "text"
        ),
    },
    {"role": "user", "content": "What was the total revenue?"},
]

response2 = client.beta.messages.create(
    model="claude-opus-5",
    max_tokens=4096,
    betas=["code-execution-2025-08-25", "skills-2025-10-02"],
    container={
        "id": response1.container.id,  # Reuse container
        "skills": [{"type": "anthropic", "skill_id": "xlsx", "version": "latest"}],
    },
    messages=messages,
    tools=[{"type": "code_execution_20250825", "name": "code_execution"}],
)

client = anthropic.Anthropic()

messages = [{"role": "user", "content": "Generate and process a large sample dataset"}]
max_retries = 10

response = client.beta.messages.create(
    model="claude-opus-5",
    max_tokens=4096,
    betas=["code-execution-2025-08-25", "skills-2025-10-02"],
    container={
        "skills": [
            {
                "type": "custom",
                "skill_id": "skill_01AbCdEfGhIjKlMnOpQrStUv",
                "version": "latest",
            }
        ]
    },
    messages=messages,
    tools=[{"type": "code_execution_20250825", "name": "code_execution"}],
)

# 긴 작업에 대한 pause_turn 처리
for _ in range(max_retries):
    if response.stop_reason != "pause_turn":
        break

    messages.append({"role": "assistant", "content": response.content})
    response = client.beta.messages.create(
        model="claude-opus-5",
        max_tokens=4096,
        betas=["code-execution-2025-08-25", "skills-2025-10-02"],
        container={
            "id": response.container.id,
            "skills": [
                {
                    "type": "custom",
                    "skill_id": "skill_01AbCdEfGhIjKlMnOpQrStUv",
                    "version": "latest",
                }
            ],
        },
        messages=messages,
        tools=[{"type": "code_execution_20250825", "name": "code_execution"}],
    )

client = anthropic.Anthropic()

response = client.beta.messages.create(
    model="claude-opus-5",
    max_tokens=4096,
    betas=["code-execution-2025-08-25", "skills-2025-10-02"],
    container={
        "skills": [
            {"type": "anthropic", "skill_id": "xlsx", "version": "latest"},
            {"type": "anthropic", "skill_id": "pptx", "version": "latest"},
            {
                "type": "custom",
                "skill_id": "skill_01AbCdEfGhIjKlMnOpQrStUv",
                "version": "latest",
            },
        ]
    },
    messages=[
        {"role": "user", "content": "Analyze sales data and create a presentation"}
    ],
    tools=[{"type": "code_execution_20250825", "name": "code_execution"}],
)

ant beta:skills create \
  --file example_skill.zip \
  --beta skills-2025-10-02

# 파일별 업로드에는 경로가 포함된 파일 이름이 필요하지만, 현재 CLI에서는
# 이를 설정할 수 없습니다. 대신 zip 아카이브를 업로드하세요.

# 모든 Skills 나열
ant beta:skills list

# 커스텀 Skills만 나열
ant beta:skills list --source custom

ant beta:skills retrieve \
  --skill-id skill_01AbCdEfGhIjKlMnOpQrStUv

# 1단계: 버전을 나열한 다음 각 버전을 삭제합니다
ant beta:skills:versions list \
  --skill-id skill_01AbCdEfGhIjKlMnOpQrStUv \
  --transform version --raw-output

# 목록에서 반환된 각 버전 ID에 대해 반복합니다
ant beta:skills:versions delete \
  --skill-id skill_01AbCdEfGhIjKlMnOpQrStUv \
  --version 1759178010641129 >/dev/null

# 2단계: Skill을 삭제합니다
ant beta:skills delete \
  --skill-id skill_01AbCdEfGhIjKlMnOpQrStUv >/dev/null

# 새 버전 생성
VERSION_NUMBER=$(ant beta:skills:versions create \
  --skill-id skill_01AbCdEfGhIjKlMnOpQrStUv \
  --file updated_skill.zip \
  --transform version --raw-output)

# 특정 버전 사용
ant beta:messages create \
  --beta code-execution-2025-08-25,skills-2025-10-02 <<YAML
model: claude-opus-5
max_tokens: 4096
container:
  skills:
    - type: custom
      skill_id: skill_01AbCdEfGhIjKlMnOpQrStUv
      version: $VERSION_NUMBER
messages:
  - role: user
    content: Use updated Skill
tools:
  - type: code_execution_20250825
    name: code_execution
YAML

# 최신 버전 사용
ant beta:messages create \
  --beta code-execution-2025-08-25,skills-2025-10-02 <<'YAML'
model: claude-opus-5
max_tokens: 4096
container:
  skills:
    - type: custom
      skill_id: skill_01AbCdEfGhIjKlMnOpQrStUv
      version: latest
messages:
  - role: user
    content: Use latest Skill version
tools:
  - type: code_execution_20250825
    name: code_execution
YAML

from anthropic.lib import files_from_dir

client = anthropic.Anthropic()

# 커스텀 DCF 분석 Skill 생성

dcf_skill = client.beta.skills.create(
    files=files_from_dir("/path/to/dcf_skill"),
)

# Excel과 함께 사용하여 재무 모델 생성
response = client.beta.messages.create(
    model="claude-opus-5",
    max_tokens=4096,
    betas=["code-execution-2025-08-25", "skills-2025-10-02"],
    container={
        "skills": [
            {"type": "anthropic", "skill_id": "xlsx", "version": "latest"},
            {"type": "custom", "skill_id": dcf_skill.id, "version": "latest"},
        ]
    },
    messages=[
        {
            "role": "user",
            "content": "Build a DCF valuation model for a SaaS company",
        }
    ],
    tools=[{"type": "code_execution_20250825", "name": "code_execution"}],
)
print(response)

client = anthropic.Anthropic()

# 첫 번째 요청이 캐시를 생성합니다
response1 = client.beta.messages.create(
    model="claude-opus-5",
    max_tokens=4096,
    betas=[
        "code-execution-2025-08-25",
        "skills-2025-10-02",
    ],
    container={
        "skills": [{"type": "anthropic", "skill_id": "xlsx", "version": "latest"}]
    },
    messages=[{"role": "user", "content": "Analyze sales data"}],
    tools=[{"type": "code_execution_20250825", "name": "code_execution"}],
)

# Skills 추가/제거는 캐시를 무효화합니다
response2 = client.beta.messages.create(
    model="claude-opus-5",
    max_tokens=4096,
    betas=[
        "code-execution-2025-08-25",
        "skills-2025-10-02",
    ],
    container={
        "skills": [
            {"type": "anthropic", "skill_id": "xlsx", "version": "latest"},
            {
                "type": "anthropic",
                "skill_id": "pptx",
                "version": "latest",
            },  # Cache miss
        ]
    },
    messages=[{"role": "user", "content": "Create a presentation"}],
    tools=[{"type": "code_execution_20250825", "name": "code_execution"}],
)

client = anthropic.Anthropic()

try:
    response = client.beta.messages.create(
        model="claude-opus-5",
        max_tokens=4096,
        betas=["code-execution-2025-08-25", "skills-2025-10-02"],
        container={
            "skills": [
                {
                    "type": "custom",
                    "skill_id": "skill_01AbCdEfGhIjKlMnOpQrStUv",
                    "version": "latest",
                }
            ]
        },
        messages=[{"role": "user", "content": "Process data"}],
        tools=[{"type": "code_execution_20250825", "name": "code_execution"}],
    )
except anthropic.BadRequestError as e:
    if "skill" in str(e):
        print(f"Skill error: {e}")
        # 스킬별 오류 처리
    else:
        raise