Financial Router logo

Financial Router

CommunityPopular
daymade
financial-router

Routes finance: Bigdata/RavenPack, US fundamentals/yfinance, A-share news/policy, sector Top N/公告, Gangtise/岗底斯 setup. Reads one bundled specialist. Pharma reporting and general argument review keep their own direct entries.

Overview

Publisherdaymade
Repositoryclaude-code-skills
Skill namefinancial-router
Stars
1.4K
Forks
222
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by daymade on GitHub. Read the source before you install it.

Installation

Install the Financial Router AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/daymade/claude-code-skills/tree/main/daymade-financial/financial-router
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/daymade/claude-code-skills.git /tmp/claude-code-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-skills/daymade-financial/financial-router .claude/skills/financial-router
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Financial Router in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Financial Router on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Financial Router is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Financial data router

Choose a specialist only when the requested result matches a row below. Find the path of this loaded financial-router/SKILL.md in the active catalog or invocation, follow symlinks to its canonical path, and verify its parent is financial-router. Its parent's parent is the suite root. Resolve the selected relative path against the router directory and verify it is a direct sibling SKILL.md inside that root. Do not use the task's working directory or a remembered plugin cache path. Claude Code may provide ${CLAUDE_PLUGIN_ROOT}; the route must also work without it in Codex. If the loaded path is ambiguous, stop instead of guessing which installation to read.

Read the selected child SKILL.md in full before acting. Continue any truncated read, then read the references that child requires for this task. The children remain installed but are absent from automatic discovery; open their files directly. Claude users can still invoke the original /daymade-financial:<child> commands manually.

Requested resultRead this exact file
Use Bigdata.com/RavenPack's SDK or REST API for structured financials, prices, analyst estimates, sentiment, search, or screeners../bigdata-skill/SKILL.md
Collect US company fundamentals and market data from free public sources into structured JSON for downstream analysis../financial-data-collector/SKILL.md
Install or diagnose the Gangtise official Skill suite, configure its credentials, or repair Gangtise authentication../gangtise-copilot/SKILL.md
Collect A-share company news, policy announcements, or stock-forum sentiment as sourced data../ashare-news-fetcher/SKILL.md
Produce an A-share sector's board-wide Top N gainers, recent announcements, and evidence-graded market-sentiment report../daymade-sector-research/SKILL.md

Decide from the requested output and named provider. A sector Top N plus announcement analysis selects daymade-sector-research; a news/policy feed selects ashare-news-fetcher. Gangtise research use belongs to an installed Gangtise runtime specialist or gangtise-router; the copilot row is for setup and diagnosis. Generic equity analysis does not silently switch to Bigdata, yfinance, or Gangtise. Use the installed market-research owner and ask for a source preference only when it changes the result and none is given.

devils-advocate and benchmark-due-diligence are general reasoning workflows, so they retain their direct automatic entries. pharma-daily-report also stays direct: its current pipeline requires a Feishu target and sends the report, so this router must not direct an analysis-only question into it. Selecting a child does not authorize a paid API call or credential change; follow the selected child's gates and the user's authorization.

Frequently asked questions

What does the Financial Router AI skill do?

Routes finance: Bigdata/RavenPack, US fundamentals/yfinance, A-share news/policy, sector Top N/公告, Gangtise/岗底斯 setup. Reads one bundled specialist. Pharma reporting and general argument review keep their own direct entries.

Why use Financial Router on TypingMind?

Because you install it once and use it with any model. Financial Router is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Financial Router in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/daymade/claude-code-skills/tree/main/daymade-financial/financial-router. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Financial Router?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Financial Router?

As many as you like. As long as a model supports skills, you can use Financial Router with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Financial Router AI skill free?

Yes. It is published on GitHub by daymade under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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