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/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

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claude-trading-skills
3k74 skills2 agents2 commands
Install
$ npx -y skills add tradermonty/claude-trading-skills --skill trading-skills-navigator --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/trading-skills-navigator

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

trading-skills-navigator.SKILL.md
name: trading-skills-navigator
description: >-
  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.

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 74 skills + 12 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** (verbatim is fine).
  • Optional constraints: **no-API** only? a daily **time budget**

(15m/30m/60m/90m)? **experience** level (beginner/intermediate/advanced)?

Ask at most one brief clarifying question only if the goal is empty or has no discernible intent. Otherwise proceed — the recommender degrades gracefully.

Step 2 — Run the recommender

python3 skills/trading-skills-navigator/scripts/recommend.py \
  --query "<the user's goal, verbatim>" \
  --format json
  # optional: --no-api  --time-budget 15m|30m|60m|90m|any
  #           --experience beginner|intermediate|advanced
  • In **Claude Code** the script reads the repo-root SSoT

(`skills-index.yaml` + `workflows/*.yaml`) automatically.

  • In the **Claude Web App** there is no repo root; the script transparently

falls back to the bundled `assets/metadata_snapshot.json`. The recommendation is byte-identical in both environments — no behavior change for the user.

Step 3 — Narrate the result conversationally

Parse the JSON and explain, in the user's language:

  • **Primary workflow** — `display_name`, `cadence`, `~estimated_minutes`,

`api_profile`. State plainly what it does and when to run it.

  • **Routing diagnostics** — read `routing_diagnostics.status`. For

`ambiguous`, name every `candidate_personas` entry and explain that the ordered first match was selected. For `fallback`, state that no persona matched and ask the user to rephrase; never present the beginner fallback as an exact intent match.

  • **Secondary workflows** — if any, how they relate (e.g. "run the regime

check first, then this when it allows risk").

  • **Skillset** — the `skillset.id` (skills-index category).

`manifest_status: active` means a curated `skillsets/<id>.yaml` bundle ships for this category (market-regime, core-portfolio, swing-opportunity, trade-memory, strategy-research) — mention it as the install bundle for the recommended workflow. `manifest_status: deferred` means no manifest yet (e.g. honest-gap categories); the recommendation is workflow-based only.

  • **No-API vs API** — read `no_api_path`: `true` → the entire recommended path

works without paid API keys (state this plainly); `false` → tell the user which paid key(s) the path needs; `null` → honest gap, no path. (`no_api` is the *request* flag — whether no-API mode was active — not whether the path is free; always narrate `no_api_path`.) If a workflow was excluded under `--no-api`, surface the `rationale` entry naming the paid integration (e.g. "swing-opportunity-daily needs FMP").

  • **Honest gap** — if `honest_gap` is true there is **no shipped workflow** for

this intent. Say so directly, then present `suggested_skills` from the relevant category and relay the `note`. Never invent a workflow.

  • **Backtest execution request** — relay the `note` when the research workflow

is recommended for a request containing backtest terms. It can evaluate separately measured metrics but does not execute the backtest. Its `no_api_path` does not describe the separate backtest tool or data.

  • **Operational roles** — narrate the `operational_roles` entry for every

skill in the setup bundle or honest-gap suggestion. Explain standalone rationale when present; keep enum values unchanged.

  • Always read the `rationale` array and explain *why* this was recommended.

Step 4 — Explain the setup path

Read `references/setup_paths.md` and walk the user through installing **`setup_bundle`** — the recommender's deterministic install union over the primary skillset **and every secondary workflow** (so nothing is dropped for a multi-workflow recommendation). Enumerate `setup_bundle.required` → `recommended` → `optional`, cite `setup_bundle.sources` to explain *why* each skill is needed, and name `skillset.manifest.related_workflows` for *how* the bundle is run. Narrate `skillset.manifest` (when present) as "what the recommended skillset is". On an honest gap install `suggested_skills`. Do this for whichever environment the user is in (Claude Web App `.skill` upload, or Claude Code folder copy); call out any paid A

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Ships withclaude-trading-skills

Claude Trading Skills started as a personal project to use AI to improve my own trading process. Claude Trading Skills is a Claude Skills-based trading workflow toolkit for time-constrained individual investors.

Get the whole plugin

Other skills on claude-trading-skills.