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Dados do Mercado Chinês AShareHub

Consulte dados de ações A chinesas, ETFs, índices, demonstrativos financeiros, valuation, fluxo de capital e indicadores técnicos por meio do SDK Python do AShareHub e da API hospedada. Use esta skill quando um agente precisar de dados estruturados do mercado chinês como DataFrames pandas.

O que é Dados do Mercado Chinês AShareHub?

A skill AShareHub fornece uma interface documentada para agentes de IA acessarem dados do mercado de ações A e ETFs chineses. Ela suporta consultas naturais para preços diários e em tempo real, valuations, demonstrativos financeiros de empresas, dividendos, dados de analistas, participações do Stock Connect, fluxo de capital, constituintes de índices, participações de ETFs, notícias e indicadores técnicos. A skill mapeia solicitações em linguagem natural para 47 interfaces da API e do SDK Python, documentando cada método com seus parâmetros de entrada e campos de resposta. Os identificadores de segurança públicos usam o formato `symbol`, como `000001.SZ`, `600519.SH` ou `000300.SH`, e as chamadas do SDK retornam DataFrames pandas para análise, gráficos ou exportação. O acesso é feito por meio da API hospedada do AShareHub, exigindo que o usuário crie uma chave de API; o nível gratuito oferece 100 requisições por dia. A skill é compatível com agentes como Claude Code, Codex e Cursor, e também pode ser usada diretamente com o SDK Python ou via MCP (Model Context Protocol). É a escolha ideal para agentes de IA que precisam integrar dados estruturados do mercado chinês em fluxos de trabalho de análise quantitativa, automação de relatórios ou visualização de dados.

Funciona com✓Claude Code✓Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/asharehub

Perguntar na sua IA favorita

Abre um novo chat com esta habilidade de agente já pré-carregada.

Documentação

O que Dados do Mercado Chinês AShareHub faz?

O AShareHub fornece a agentes de IA de codificação uma interface documentada para dados do mercado de ações A e ETFs chineses. Use-o quando um fluxo de trabalho precisar de preços diários ou em tempo real, valuations, demonstrativos financeiros de empresas, dividendos, dados de analistas, participações do Stock Connect, fluxo de capital, constituintes de índices, participações de ETFs, notícias ou indicadores técnicos. A skill oficial mapeia solicitações em linguagem natural para 47 interfaces da API e do SDK Python e documenta os parâmetros de entrada e campos de resposta de cada método. Os identificadores de segurança públicos usam symbol, como 000001.SZ, 600519.SH ou 000300.SH, e as chamadas do SDK retornam DataFrames pandas para análise, gráficos ou exportação. O acesso é feito por meio da API hospedada do AShareHub, portanto, os usuários devem criar uma chave de API; o nível gratuito oferece 100 requisições por dia. Consulte o site da skill, a documentação da API e a configuração do MCP.

Instalação

Instale o SDK Python e defina a chave de API fornecida pelo AShareHub:

pip install asharehub
export ASHAREHUB_API_KEY="ash_your_key_here"

Codex

git clone --depth 1 https://github.com/ChuYiCui1/AshareHub-skills.git
mkdir -p ~/.codex/skills/asharehub
cp -R AshareHub-skills/skills/en/. ~/.codex/skills/asharehub/

Claude Code

git clone --depth 1 https://github.com/ChuYiCui1/AshareHub-skills.git
mkdir -p .claude/skills/asharehub
cp -R AshareHub-skills/skills/en/. .claude/skills/asharehub/

Exemplo

Peça ao agente: "Use o AShareHub para buscar os preços diários do CSI 300 desde 2024-01-01 e resuma os retornos mensais."

A chamada subjacente do SDK é:

from asharehub import AShareHub
import os

client = AShareHub(api_key=os.environ["ASHAREHUB_API_KEY"], version="v2")
prices = client.index_daily(symbol="000300.SH", start_date="20240101")
print(prices[["trade_date", "close", "pct_chg"]])
client.close()

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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ACF to Gutenberg Block Migrator

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Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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