菜单
针对中国A股的行情与数据查询（基于本地 akshare 源代码与API映射）。当用户请求获取A股实时行情、历史K线（日/周/月）、分钟级分时（1/5/15/30/60）、复权数据（前复权/后复权）、股东户数（含详情）、以及巨潮资讯公告披露结果时使用本Skill。默认优先使用东方财富(EM)接口；如用户指定新浪(Sina)来源或需要特定接口，则按映射调用对应函数。可使用内置脚本输出CSV/JSON，或内联Python调用。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | akshare-a-shares |
| description | 针对中国A股的行情与数据查询（基于本地 akshare 源代码与API映射）。当用户请求获取A股实时行情、历史K线（日/周/月）、分钟级分时（1/5/15/30/60）、复权数据（前复权/后复权）、股东户数（含详情）、以及巨潮资讯公告披露结果时使用本Skill。默认优先使用东方财富(EM)接口；如用户指定新浪(Sina)来源或需要特定接口，则按映射调用对应函数。可使用内置脚本输出CSV/JSON，或内联Python调用。 |
本Skill指导如何基于本地 akshare 源码目录的数据接口完成 A 股数据查询，并提供一个可直接运行的脚本以便快速拉取数据。
目录约定：本地 akshare 源位于 Recents/akshare（相对当前工作目录）。如不一致，请在执行脚本前修改脚本内 AK_PATH。
scripts/akshare_fetch.py 拉取数据，支持 CSV 或 JSON 输出。
references/examples.mdreferences/endpoints.md 的“意图→接口”映射与参数说明stock_feature.stock_hist_em.stock_zh_a_spot_em()stock_feature.stock_hist_em.stock_zh_a_hist(symbol, period, start_date, end_date, adjust)stock_feature.stock_hist_em.stock_zh_a_hist_min_em(symbol, start_date, end_date, period, adjust)stock_feature.stock_gdhs.stock_zh_a_gdhs(symbol)；详情：stock_feature.stock_gdhs.stock_zh_a_gdhs_detail_em(symbol)stock_feature.stock_disclosure_cninfo.stock_zh_a_disclosure_report_cninfo(...)、stock_zh_a_disclosure_relation_cninfo(...)stock.stock_zh_a_sina.stock_zh_a_spot()、日线/复权 stock.stock_zh_a_sina.stock_zh_a_daily(...)、分钟线 stock.stock_zh_a_sina.stock_zh_a_minute(...)详细参数、示例与注意事项见 references/endpoints.md 与 references/examples.md。
脚本路径：scripts/akshare_fetch.py
python3 scripts/akshare_fetch.py spot --source em --format csvpython3 scripts/akshare_fetch.py hist --symbol 600519 --period daily --start 20200101 --end 20251231 --adjust qfq --format csvreferences/examples.md脚本特性：
Recents/akshare 加入 sys.path，直接导入本地 akshare 源--format json 输出JSONpython3、pandas、requests（Sina 接口还需 py_mini_racer）EM 接口通常使用纯数字代码：沪市以 6 开头（如 600519），深市以 0/3 开头（如 000001）Sina 接口部分函数使用带交易所前缀的代码（如 sh600519、sz000001）YYYYMMDD（日/周/月K）；分钟分时使用 YYYY-MM-DD HH:MM:SSadjust 取值 { "": 不复权, "qfq": 前复权, "hfq": 后复权 }references/endpoints.md：接口清单、参数与返回字段概述references/examples.md：常见请求的可直接运行示例及脚本命令请按需加载参考文件，避免无关内容占用上下文。
Capture a Mac app window as agent context. Use when the user asks to snap, inspect, read, capture, summarize, or work from the current Mac window, a visible app, a selected window, or an app screenshot. Strongly prefer for Appshot-like requests, "what is on this window", "use this app as context", and "grab the window text". SKIP for remote websites/files that can be fetched directly, for controlling the UI, clicking, typing, automating actions, or extracting hidden Google Docs/Sheets/Slides/Gmail canvas text beyond what macOS Accessibility exposes.
Adaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
Load when the user or an agent wants to use Grok/xAI locally with their own SuperGrok / X Premium account instead of a paid xAI API key — chat with Grok, generate images or videos with Grok Imagine, or search X/Twitter posts via Grok. Triggers on "用 Grok 聊天/问 Grok", "Grok 生成图片/视频", "grok imagine", "搜一下推特/X 上怎么说", "grok-cli ...", "log in to Grok with my X Premium", "Grok image/video generation", "search tweets with Grok". Uses browser OAuth (no API key needed); image/video generation is paid. Do NOT load for non-Grok LLMs or for the paid xAI API key SDK workflow.
Load when the user wants to view, sync, or analyze multi-agent activity across multiple devices — Claude Code / Codex / Cursor / Maestri / browser-use sessions captured to a shared GitHub-synced pool, OR wants a distilled per-project context document so a fresh agent in a different tool can pick up where another left off. Triggers on "agentlog X" commands, "what did I do today across all my agents", "show me my pool", "sync the pool", "拉一下另一台机器上的 agent 记录", "看看 vps 上跑的", "跨设备 agent log", "跨工具上下文", "switch from Codex to Claude Code", "AGENTS.md / CLAUDE.md", "项目状态文档", "agent context". Do NOT load for single-machine tweet material capture (use `seed`) or one-off project planning.
Use when the user wants a real data analysis on a dataset — finding what drives a metric, testing whether a difference is real, building a predictive model, reducing many variables to a few, or interpreting what numbers mean for the business. Trigger phrases include "analyze this data", "what drives X", "is this significant", "build a model to predict", "find the factors", "do a proper analysis", "what does this data mean". Skip when the user only wants a chart, only wants raw data pulled with no question, asks a closed factual question with no data, or just wants APA-formatted stats output.
Expert cooking assistant for Chinese and Western cuisine. Provides step-by-step recipes grounded in real data from scraped websites (xiachufang, allrecipes, BBC Good Food, etc.), free APIs (TheMealDB, Open Food Facts), and Kaggle datasets (Food.com, Epicurious). Use when user asks to cook a specific dish, wants suggestions based on ingredients they have, asks about technique/substitution/pairing, or wants nutrition info. Recipes are cached as Markdown files in data/recipes/ with YAML frontmatter — never re-fetch what's already there.