Tushare Data
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
Implement Series-style batch indicators (To{Name}() in {Name}.Series.cs), the canonical numerical reference every BufferList and StreamHub must match exactly.
$ npx skills add facioquo/stock-indicators-dotnet --skill indicator-series -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install facioquo/stock-indicators-dotnet indicator-series --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/indicator-series .claude/skills/indicator-series && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "indicator-series" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/indicator-series into .claude/skills/indicator-series/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indicator-series", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/indicator-seriesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add facioquo/stock-indicators-dotnet --skill indicator-series -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install facioquo/stock-indicators-dotnet indicator-series --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/indicator-series .agents/skills/indicator-series && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "indicator-series" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/indicator-series into .agents/skills/indicator-series/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indicator-series", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add facioquo/stock-indicators-dotnet --skill indicator-series -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install facioquo/stock-indicators-dotnet indicator-series --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/indicator-series .cursor/skills/indicator-series && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "indicator-series" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/indicator-series into .cursor/skills/indicator-series/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indicator-series", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/facioquo/stock-indicators-dotnet.git --path .agents/skills/indicator-series--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add facioquo/stock-indicators-dotnet --skill indicator-series -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install facioquo/stock-indicators-dotnet indicator-series --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/indicator-series .gemini/skills/indicator-series && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "indicator-series" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/indicator-series into .gemini/skills/indicator-series/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indicator-series", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install facioquo/stock-indicators-dotnet indicator-seriesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add facioquo/stock-indicators-dotnet --skill indicator-series -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/indicator-series .github/skills/indicator-series && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "indicator-series" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/indicator-series into .github/skills/indicator-series/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indicator-series", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add facioquo/stock-indicators-dotnet --skill indicator-series -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install facioquo/stock-indicators-dotnet indicator-series --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/indicator-series .opencode/skills/indicator-series && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "indicator-series" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/indicator-series into .opencode/skills/indicator-series/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indicator-series", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
indicator-seriesImplement Series-style batch indicators (To{Name}() in {Name}.Series.cs), the canonical numerical reference every BufferList and StreamHub must match exactly.
Indicator Series is an agent skill from facioquo/stock-indicators-dotnet. Implement Series-style batch indicators (To{Name}() in {Name}.Series.cs), the canonical numerical reference every BufferList and StreamHub must match exactly. Owns the full per-indicator file set and the completion checklist across all styles, tests, catalog, docs, regression baseline, and benchmark. Use when adding a new indicator, creating or editing a src/Indicators//{Name}.Series.cs, {Name}Result.cs, or {Name}.Utilities.cs file, choosing a result or input interface, optimizing a Series calculation, or…
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/decision-tree.md`).
It sits in Business, Finance & HR, covering Trading and backtesting. The repository describes itself as: Stock Indicators for .NET is a C NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading… The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 009b4c9. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
dotnetFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Indicator Series loads about 1.6k tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 146 tokens; SKILL.md has 622 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from facioquo/stock-indicators-dotnet at commit 009b4c9, republished under its Apache-2.0 licence (© facioquo). 622 words, ~1,560 tokens.
.claude/skills/indicator-series/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Series results are the source of truth. A BufferList or StreamHub that disagrees with Series is wrong unless the Series result is proven wrong against reference data.
Load result interface selection before writing a {Name}Result.cs record or choosing the this parameter type of To{Name}().
Source files live in src/Indicators/{folder}/{Name}/, where {folder} is the alphabetical bucket a-b, c-d, e-j, k-q, r-s, or t-z:
| File | Contents |
|---|---|
{Name}.Series.cs | public static partial class {Name} with the To{Name}() extension |
{Name}List.cs | {Name}List BufferList class plus the To{Name}List() extension |
{Name}Hub.cs | {Name}Hub class with an internal constructor plus the To{Name}Hub() extension |
{Name}.Catalog.cs | CommonListing, SeriesListing, BufferListing, StreamListing |
{Name}Result.cs | Positional result record |
{Name}.Utilities.cs | internal static void Validate(...), any shared Increment(...) kernel, and any RemoveWarmupPeriods() overload |
I{Name}.cs | Public interface of configuration properties (LookbackPeriods, derived constants such as K); never result properties |
Add a RemoveWarmupPeriods() overload only when values keep converging after the first calculated one (see Ema.Utilities.cs) or the result is not IReusable; otherwise the generic PruningExtensions.RemoveWarmupPeriods<T>() covers it.
Tests live in tests/Library/Indicators/{folder}/{Name}/: {Name}SeriesTests.cs, {Name}BufferListTests.cs, {Name}HubTests.cs, {Name}CatalogTests.cs, {Name}RegressionTests.cs, and the {Name}.Calc.xlsx spreadsheet holding the manually calculated reference values.
An indicator is complete when every item holds. Series-only indicators skip the List, Hub, and their tests, listings, and benchmarks.
{Name}List.cs and {Name}Hub.cs); the indicator-buffer and indicator-stream skills own the List and Hub specifics.{Name}SeriesTests inherits StaticSeriesTestBase and asserts spot values from {Name}.Calc.xlsx; assert a documented value range with IsBetween where the indicator has one. The testing-standards skill owns base classes, required methods, and precision constants.{Name}BufferListTests and {Name}HubTests assert IsExactly parity with the Series output.src/Common/Catalog/Catalog.Listings.cs, the catalog shape snapshot is regenerated, and {Name}CatalogTests covers each listing; the indicator-catalog skill owns listing rules, registration order, and the catalog shape snapshot.tests/Library/TestData/results/{uiid-lowercase}.standard.json exists, generated by dotnet run --project tools/baselining -- --indicator {UIID}.{Name}RegressionTests inherits RegressionTestBase<TResult>, carries [TestClass, TestCategory("Regression")], passes the baseline filename to the base constructor, and calls each style with the catalog default parameters, because the baseline is generated from those defaults.tools/performance/Perf.Series.cs, Perf.Buffer.cs, and Perf.Stream.cs; the performance-testing skill owns their shape.docs/indicators/{kebab-name}.md exists or is updated; the documentation skill owns page structure.docs/migration/v3.md is updated when the indicator existed in v2 and its API or results changed.ArgumentNullException.ThrowIfNull(source), then Validate(...), which throws ArgumentOutOfRangeException naming the parameter and offending value.double, use double.NaN for incalculable internal state, and convert with .NaN2Null() only when constructing the result.denom != 0 ? num / denom : double.NaN, comparing to exactly zero.Increment(...) kernel in {Name}.Utilities.cs and call it from every style instead of re-deriving the formula (see Ema.Increment).When the result count equals the input count, fill a preallocated array, then copy it into the returned list:
TResult[] results = new TResult[length];
// results[i] = new TResult(...);
return new List<TResult>(results);Benchmark this against List<T>.Add() before committing to it; some indicators, such as ADL, are faster with Add().
src/Indicators/r-s/Sma/Sma.Series.cssrc/Indicators/e-j/Ema/Ema.Series.cssrc/Indicators/a-b/Adx/Adx.Series.csISeries result: src/Indicators/a-b/Alligator/Alligator.Series.cs{Name}.Calc.xlsx or the reference publication.© facioquo, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in .agents/skills/indicator-series of facioquo/stock-indicators-dotnet.
Open the folder on GitHubat commit 009b4c9
Indicator Series next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Indicator Series this skillfacioquo/stock-indicators-dotnet | 1.2k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Tushare Datazillionare/zillionare | 321 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Digital Oraclekomako-workshop/digital-oracle | 878 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Polyclawchainstacklabs/polyclaw | 359 | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Openmobius SkillMobiusQuant/OpenMobius-skill | 697 | — | ~7.2k | Automated safety check: Pass | Apache-2.0 |
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
atilaahmettaner/tradingview-mcp
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and…
komako-workshop/digital-oracle
Answer prediction questions using market trading data, not opinions.
chainstacklabs/polyclaw
Trade on Polymarket via split + CLOB execution. An agent skill from chainstacklabs/polyclaw.
MobiusQuant/OpenMobius-skill
Provides multi-school trading Q&A, chart/OHLCV analysis, annotation, and fresh-market workflows covering ICT/SMC, ChanLun, Wyckoff, Price Action, Order Flow, VSA, and Elliott Wave.
BlockRunAI/ClawRouter
A skill your agent uses when the user wants to actually PLACE, manage, or redeem bets on Polymarket (not just read odds — that's the blockrunpredexon data tools).
facioquo/stock-indicators-dotnet
Format and lint Markdown in this repository against GitHub Flavored Markdown and its markdownlint-cli2 configuration — headers, lists, code fences, callouts (VitePress containers on docs-site pages…
facioquo/stock-indicators-dotnet
Implement StreamHub real-time indicators — base-class choice (ChainHub, BarProvider, StreamHub), constructor and ToIndicator conventions, RollbackState overrides, per-tick performance rules…
facioquo/stock-indicators-dotnet
Benchmark indicators with BenchmarkDotNet in tools/performance — add Series, Buffer, Stream, and style-comparison benchmarks, spot-check one indicator against committed baselines, evaluate the full…
facioquo/stock-indicators-dotnet
Author indicator reference pages on the VitePress documentation site — page section order, parameter and result tables, warmup and convergence wording, chaining and streaming examples, the…
facioquo/stock-indicators-dotnet
Implement BufferList incremental indicators ({Name}List, a BufferList<TResult subclass) — increment interface choice, constructor and To{Name}List() conventions, rolling-buffer helpers, pruning and…
facioquo/stock-indicators-dotnet
Write {Name}.Catalog.cs listings with CatalogListingBuilder — parameters, results, chart panes, isRequired and isReusable rules — register them in Catalog.Listings.cs, refresh the catalog shape…
Categories
Implement Series-style batch indicators (To{Name}() in {Name}.Series.cs), the canonical numerical reference every BufferList and StreamHub must match exactly. Indicator Series is an agent skill from facioquo/stock-indicators-dotnet.cs), the canonical numerical reference every BufferList and StreamHub must match exactly.
Indicator Series fits situations like: adding a new indicator; editing a src/Indicators//{Name}.Series.cs; {Name}Result.cs; {Name}.Utilities.cs file.
Run `npx skills add facioquo/stock-indicators-dotnet --skill indicator-series -a claude-code`. Or copy the skill folder (.agents/skills/indicator-series in facioquo/stock-indicators-dotnet) into .claude/skills/indicator-series in your project. Claude Code loads it when a task matches its description.
Run `npx skills add facioquo/stock-indicators-dotnet --skill indicator-series -a codex`. Or copy the skill folder (.agents/skills/indicator-series in facioquo/stock-indicators-dotnet) into .agents/skills/indicator-series in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add facioquo/stock-indicators-dotnet --skill indicator-series -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/indicator-series, .gemini/skills/indicator-series, .github/skills/indicator-series and .opencode/skills/indicator-series in your project.
Going by SKILL.md and its folder, Indicator Series needs the command-line tools its instructions call (dotnet).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Indicator Series is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 514 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Indicator Series: Tushare Data (zillionare/zillionare, 321 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 878 stars) and Polyclaw (chainstacklabs/polyclaw, 359 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
facioquo (a GitHub organization) maintains it in facioquo/stock-indicators-dotnet, which has 1,247 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 10, 2026.
Source: facioquo/stock-indicators-dotnet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.