Agent skill · Backend & API

trading-skills-navigator

Recommend the right trading workflow, skillset, API profile, and setup path from a natural-language goal. Use this as the on-ramp when a user expresses a trading or investing goal and needs to know which skill/workflow to use, where to start, or whether something works without paid API keys — e.g. "where do I start", "which skill should I use", "I want to swing trade only when the market is favorable", "what works without API keys", "どれを使えばいい", "API キー無しで 使えるものは". Routes and explains only; it never executes trades or auto-runs other skills, and it is honest when no workflow has shipped yet.

BaggaT236github.com/BaggaT236GitHub ↗
claude-codeships scriptsMIT
Install
npx skills add BaggaT236/AI-Trading-Skills --skill trading-skills-navigator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 8
SKILL.md size: 7 KB
Bundled scripts: yes
Path: skills/trading-skills-navigator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 118
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Trading Skills Navigator The interactive on-ramp for this repository. It turns a user's goal into a concrete recommendation: which **workflow** to run, which **skillset** (skills-index category) it belongs to, the **API requirement**, and the **setup path** for Claude Web App or Claude Code. A new user faces 54 skills + 5 workflows with no router. This skill is that router. It is **deterministic** — a Python recommender (`scripts/recommend.py`) consumes the repo metadata; this SKILL.md narrates the result conversationally. ## When to Use - The user expresses a trading/investing goal and asks where to start or which skill/workflow to use ("どれを使えばいい", "where do I start"). - The user asks what works **without paid API keys**. - The user wants the no-API vs API path separated, or a beginner path. - The user describes a persona ("part-time swing trader", "dividend investor", "I want to short", "I want to backtest ideas") and needs routing. Do **not** use this skill to execute trades, place orders, or auto-run other skills. It recommends and explains only. ## Workflow ### Step 1 — Capture the goal and constraints From the user's message, extract: - The natural-language **goal** (verbat

What's inside
Steps it walks through
  1. When to Use
  2. Workflow
  3. Step 1 — Capture the goal and constraints
  4. Step 2 — Run the recommender
  5. Step 3 — Narrate the result conversationally
  6. Step 4 — Explain the setup path
  7. Step 5 — Point to the learning loop
  8. Output Format
  9. Resources
Ships with 7 files
  • assets/metadata_snapshot.json
  • references/intent_routing.md
  • references/setup_paths.md
  • scripts/build_snapshot.py
  • scripts/recommend.py
  • scripts/tests/conftest.py
  • scripts/tests/test_recommend.py
Commands it runs
python3 skills/trading-skills-navigator/scripts/recommend.py \
More from AI-Trading-Skills
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About this skill
What does the trading-skills-navigator skill do?

Recommend the right trading workflow, skillset, API profile, and setup path from a natural-language goal. Use this as the on-ramp when a user expresses a trading or investing goal and needs to know which skill/workflow to use, where to start, or whether something works without paid API keys — e.g. "where do I start", "which skill should I use", "I want to swing trade only when the market is favorable", "what works without API keys", "どれを使えばいい", "API キー無しで 使えるものは". Routes and explains only; it never executes trades or auto-runs other skills, and it is honest when no workflow has shipped yet.

How do I install it?

Run `npx skills add BaggaT236/AI-Trading-Skills --skill trading-skills-navigator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going