Agent skill

Indicator Series

by facioquo in 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.

Apache-2.0Auto-check passedBusiness, Finance & HR

Install Indicator Series

skills CLI
$ npx skills add facioquo/stock-indicators-dotnet --skill indicator-series -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install facioquo/stock-indicators-dotnet indicator-series --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
indicator-series
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
622 words
Files
2 (incl. references)
Skills in repo
10
Repo updated
First seen
Licence
Apache-2.0

At a glance

Implement Series-style batch indicators (To{Name}() in {Name}.Series.cs), the canonical numerical reference every BufferList and StreamHub must match exactly.

  • Adding a new indicator
  • SKILL.md covers Per-indicator file set, Completion checklist, Implementation rules and Reference examples, plus 1 more section
  • Calls dotnet
  • Editing a src/Indicators//{Name}.Series.cs

What it does

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.

When your agent uses it

  • Adding a new indicator
  • Editing a src/Indicators//{Name}.Series.cs
  • {Name}Result.cs
  • {Name}.Utilities.cs file

Example prompts

  • “/indicator-series”

What it can do on your machine

Read from SKILL.md and the folder at commit 009b4c9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • dotnet

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~146
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.1k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from facioquo/stock-indicators-dotnet at commit 009b4c9, republished under its Apache-2.0 licence (© facioquo). 622 words, ~1,560 tokens.

Download SKILL.mdSave it as .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.
name
indicator-series
description
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 checking whether an indicator is complete.

Series indicator development

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}().

Per-indicator file set

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:

FileContents
{Name}.Series.cspublic 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.csCommonListing, SeriesListing, BufferListing, StreamListing
{Name}Result.csPositional result record
{Name}.Utilities.csinternal static void Validate(...), any shared Increment(...) kernel, and any RemoveWarmupPeriods() overload
I{Name}.csPublic 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.

Completion checklist

An indicator is complete when every item holds. Series-only indicators skip the List, Hub, and their tests, listings, and benchmarks.

  • Every applicable source file in the table above exists (Series-only indicators omit {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.
  • Catalog listings are registered in 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.
  • Benchmarks exist in 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.
Show full SKILL.md (239 more words)Show less

Implementation rules

  • Validate arguments first: ArgumentNullException.ThrowIfNull(source), then Validate(...), which throws ArgumentOutOfRangeException naming the parameter and offending value.
  • Calculate in double, use double.NaN for incalculable internal state, and convert with .NaN2Null() only when constructing the result.
  • Accept NaN inputs and let them propagate. Guard every variable denominator with denom != 0 ? num / denom : double.NaN, comparing to exactly zero.
  • Keep the calculation single-pass O(n) and allocate only the result array plus minimal working buffers.
  • When the List or Hub repeats the per-step math, put it in an 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:

csharp
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().

Reference examples

  • Single value, chainable: src/Indicators/r-s/Sma/Sma.Series.cs
  • Exponential smoothing with an SMA seed: src/Indicators/e-j/Ema/Ema.Series.cs
  • Multi-stage from bars: src/Indicators/a-b/Adx/Adx.Series.cs
  • Multi-value ISeries result: src/Indicators/a-b/Alligator/Alligator.Series.cs

Do not do these

  • Do not verify a formula against anything but an authoritative reference publication.
  • Do not change a test's expected value or loosen its precision constant to make a failing calculation pass; fix the formula.
  • Do not reject or filter NaN inputs; downstream chaining depends on propagation.
  • Do not use epsilon comparisons for zero checks.
  • Do not fix a BufferList or StreamHub mismatch by changing Series unless the Series value is shown wrong against {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

Files

SKILL.md and 1 other file (references) in .agents/skills/indicator-series of facioquo/stock-indicators-dotnet.

  • SKILL.md
  • references/decision-tree.md

Open the folder on GitHubat commit 009b4c9

Compare with similar skills

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.

Indicator Series compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Indicator Series this skillfacioquo/stock-indicators-dotnet1.2k—~1.6kAutomated safety check: PassApache-2.0
Tushare Datazillionare/zillionare3212 repos~2.3kAutomated safety check: PassNone
Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
Digital Oraclekomako-workshop/digital-oracle878—~5.9kAutomated safety check: PassMIT
Polyclawchainstacklabs/polyclaw3591 repos~2kAutomated safety check: PassApache-2.0
Openmobius SkillMobiusQuant/OpenMobius-skill697—~7.2kAutomated safety check: PassApache-2.0

Similar skills

  • 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。

    321 GitHub starsUsed in 2 repos~2.3k tokens
    Business, Finance & HRAuto-check passed
  • Tradingview MCP

    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…

    5k GitHub stars~1.3k tokensUpdated today
    Business, Finance & HRAuto-check passed
  • Digital Oracle

    komako-workshop/digital-oracle

    Answer prediction questions using market trading data, not opinions.

    878 GitHub stars~5.9k tokensUpdated 2 mo ago
    Business, Finance & HRAuto-check passed
  • Polyclaw

    chainstacklabs/polyclaw

    Trade on Polymarket via split + CLOB execution. An agent skill from chainstacklabs/polyclaw.

    359 GitHub starsUsed in 1 repo~2k tokens
    Business, Finance & HRAuto-check passed
  • Openmobius Skill

    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.

    697 GitHub stars~7.2k tokensUpdated 1 mo ago
    Business, Finance & HRAuto-check passed
  • Polymarket Trading

    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).

    6.6k GitHub stars~1.4k tokensUpdated 4 days ago
    Business, Finance & HRAuto-check passed

More from facioquo/stock-indicators-dotnet

All 10 skills in this repo
  • Markdown

    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…

    1.2k GitHub stars~812 tokensUpdated today
    Auto-check passed
  • Indicator Stream

    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…

    1.2k GitHub stars~1.6k tokensUpdated today
    Auto-check passed
  • Performance Testing

    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…

    1.2k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Documentation

    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…

    1.2k GitHub stars~2.6k tokensUpdated today
    Auto-check passed
  • Indicator Buffer

    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…

    1.2k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Indicator Catalog

    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…

    1.2k GitHub stars~1.6k tokensUpdated today
    Auto-check passed

Questions about Indicator Series

What does Indicator Series do?

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.

When should I use Indicator Series?

Indicator Series fits situations like: adding a new indicator; editing a src/Indicators//{Name}.Series.cs; {Name}Result.cs; {Name}.Utilities.cs file.

How do I install Indicator Series in Claude Code?

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.

How do I install Indicator Series in Codex?

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.

Can I use Indicator Series in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Indicator Series need to run?

Going by SKILL.md and its folder, Indicator Series needs the command-line tools its instructions call (dotnet).

Does Indicator Series access the network?

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.

Is Indicator Series safe to install?

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.

What licence does Indicator Series use?

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.

How many tokens does Indicator Series use?

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.

What are the alternatives to Indicator Series?

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.

Who maintains Indicator Series?

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.