zeta-data-source — community zeta-data-source, zetaterminal, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0

이 스킬 정보

REST, aiohttp, 속도 제한을 통해 여러 데이터 소스와 통합하고 포괄적인 콘텐츠 분석이 필요한 데이터 집중형 AI 에이전트에 적합합니다. Integrate a new external data source (market data, API, feed) following zetaterminal async patterns. Use when connecting to new APIs, adding data providers, or building data ingestion pipelines.

russiankendricklamar russiankendricklamar
[2]
[0]
Updated: 3/14/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
7/11
Quality Score
33
Canonical Locale
ru
Detected Body Locale
ru

REST, aiohttp, 속도 제한을 통해 여러 데이터 소스와 통합하고 포괄적인 콘텐츠 분석이 필요한 데이터 집중형 AI 에이전트에 적합합니다. Integrate a new external data source (market data, API, feed) following zetaterminal async patterns. Use when connecting to new APIs, adding data providers, or building data ingestion pipelines.

이 스킬을 사용하는 이유

REST, aiohttp, 속도 제한을 사용하여 새로운 데이터 소스를 통합하고 yfinance와 같은 라이브러리, 인증 서비스 및 공개 API와의 무결점 상호 작용을 제공하며 RuData/Interfax와 같은 서비스에 대한 속도 제한을 지원합니다.

최적의 용도

REST, aiohttp, 속도 제한을 통해 여러 데이터 소스와 통합하고 포괄적인 콘텐츠 분석이 필요한 데이터 집중형 AI 에이전트에 적합합니다.

실행 가능한 사용 사례 for zeta-data-source

yfinance 라이브러리를 사용하여 야후 파이낸스에서 금융 데이터를 가져옵니다.
REST 및 aiohttp를 사용하여 MOEX ISS에서 데이터를 가져옵니다.
인증된 액세스를 사용하여 RuData/Interfax의 속도 제한 요청을 처리합니다.

! 보안 및 제한 사항

  • Python 환경이 필요합니다.
  • 외부 데이터 소스의 가용성 및 인증에 의존합니다.
  • RuData/Interfax와 같은 특정 데이터 소스에는 속도 제한 제약이 적용됩니다.

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Labs Demo

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Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is zeta-data-source?

REST, aiohttp, 속도 제한을 통해 여러 데이터 소스와 통합하고 포괄적인 콘텐츠 분석이 필요한 데이터 집중형 AI 에이전트에 적합합니다. Integrate a new external data source (market data, API, feed) following zetaterminal async patterns. Use when connecting to new APIs, adding data providers, or building data ingestion pipelines.

How do I install zeta-data-source?

Run the command: npx killer-skills add russiankendricklamar/zetaterminal/zeta-data-source. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for zeta-data-source?

Key use cases include: yfinance 라이브러리를 사용하여 야후 파이낸스에서 금융 데이터를 가져옵니다., REST 및 aiohttp를 사용하여 MOEX ISS에서 데이터를 가져옵니다., 인증된 액세스를 사용하여 RuData/Interfax의 속도 제한 요청을 처리합니다..

Which IDEs are compatible with zeta-data-source?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for zeta-data-source?

Python 환경이 필요합니다.. 외부 데이터 소스의 가용성 및 인증에 의존합니다.. RuData/Interfax와 같은 특정 데이터 소스에는 속도 제한 제약이 적용됩니다..

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add russiankendricklamar/zetaterminal/zeta-data-source. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use zeta-data-source immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

zeta-data-source

Install zeta-data-source, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

Zeta Terminal — New Data Source Integration

Existing Sources (reference patterns)

SourceFilePattern
MOEX ISSservices/zcyc_service.pyREST + aiohttp, public API, no auth
RuData/Interfaxservices/rudata_service.pyREST + rate limiting (5 req/s), auth token
Yahoo Financeservices/spectral_regime_service.pyyfinance library, sync wrapped in to_thread

Service Template

backend/src/services/{source}_service.py:

python
1""" 2{Source Name} data service. 3 4API docs: {url} 5Rate limits: {X req/s} 6Auth: {method} 7""" 8import logging 9import aiohttp 10from typing import Any 11 12logger = logging.getLogger(__name__) 13 14# Constants 15BASE_URL = "https://api.example.com" 16TIMEOUT = aiohttp.ClientTimeout(total=30) 17MAX_RETRIES = 3 18 19 20class {Source}Service: 21 """Async client for {Source} API.""" 22 23 def __init__(self, api_key: str | None = None): 24 self.api_key = api_key 25 self._session: aiohttp.ClientSession | None = None 26 27 async def _get_session(self) -> aiohttp.ClientSession: 28 if self._session is None or self._session.closed: 29 headers = {"Content-Type": "application/json"} 30 if self.api_key: 31 headers["Authorization"] = f"Bearer {self.api_key}" 32 self._session = aiohttp.ClientSession( 33 base_url=BASE_URL, 34 headers=headers, 35 timeout=TIMEOUT, 36 ) 37 return self._session 38 39 async def fetch_data(self, params: dict[str, Any]) -> dict[str, Any]: 40 """ 41 Fetch data from {Source}. 42 43 Parameters 44 ---------- 45 params : dict 46 Query parameters. 47 48 Returns 49 ------- 50 dict with keys: data, metadata 51 52 Raises 53 ------ 54 ValueError 55 If API returns an error or invalid data. 56 RuntimeError 57 If connection fails after retries. 58 """ 59 session = await self._get_session() 60 61 for attempt in range(MAX_RETRIES): 62 try: 63 async with session.get("/endpoint", params=params) as resp: 64 if resp.status != 200: 65 text = await resp.text() 66 logger.error("{Source} API error %d: %s", resp.status, text) 67 if resp.status == 429: # Rate limited 68 await asyncio.sleep(2 ** attempt) 69 continue 70 raise ValueError(f"{Source} API returned {resp.status}") 71 72 data = await resp.json() 73 return self._parse_response(data) 74 except aiohttp.ClientError as e: 75 logger.error("{Source} connection error (attempt %d): %s", attempt + 1, e) 76 if attempt == MAX_RETRIES - 1: 77 raise RuntimeError(f"{Source} unavailable after {MAX_RETRIES} retries") from e 78 79 def _parse_response(self, raw: dict) -> dict[str, Any]: 80 """Parse and validate API response.""" 81 # Transform to standard format 82 return { 83 "data": raw, 84 "metadata": { 85 "source": "{source}", 86 "timestamp": datetime.now(datetime.UTC).isoformat(), 87 } 88 } 89 90 async def close(self): 91 if self._session and not self._session.closed: 92 await self._session.close()

Router Pattern

python
1@router.get("/api/{source}/fetch") 2async def fetch_data( 3 param: str = Query(..., description="Query parameter"), 4): 5 service = {Source}Service(api_key=os.environ.get("{SOURCE}_API_KEY")) 6 try: 7 result = await service.fetch_data({"param": param}) 8 return result 9 except ValueError as e: 10 raise HTTPException(status_code=400, detail=str(e)) from e 11 except RuntimeError as e: 12 raise HTTPException(status_code=503, detail="Data source unavailable") from e 13 finally: 14 await service.close()

Data Source Priorities (Aladdin Data Platform roadmap)

SourceDataPriority
CBR (ЦБ РФ)Ключевая ставка, инфляция, денежная массаP1
FREDUS macro (GDP, CPI, Fed Funds Rate)P1
BinanceCrypto prices, order bookP2
MOEX ISS (расширение)Акции, фьючерсы, индексыP1
FinamИсторические данные российских акцийP2

Checklist Before Done

  • Async client with aiohttp (not requests)
  • Retry logic with exponential backoff
  • Rate limiting respected (429 handling)
  • API key from os.environ, never hardcoded
  • Timeout configured (aiohttp.ClientTimeout)
  • Session cleanup (close() method)
  • Response parsed into standard format (data + metadata)
  • Router with proper error handling (400/503)
  • API docs URL in docstring
  • ruff check passes

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