trading-skills-navigator — скилл для Claude Code: как установить
Подбирает подходящие воркфлоу и скиллы для трейдинга по вашему запросу. Помогает понять, с чего начать работу и какие цепочки запустятся без платных API-ключей.
npx skills add tradermonty/claude-trading-skills --skill trading-skills-navigator -a claude-codeЧто делает trading-skills-navigator
Скилл служит маршрутизатором по репозиторию tradermonty/claude-trading-skills, где собраны 74 скилла и 12 воркфлоу. Пользователь передаёт свою цель на обычном языке, уровень опыта или бюджет по времени: 15m, 30m, 60m или 90m. В ответ инструмент выдаёт точный набор компонентов для запуска.
Внутри работает детерминированный скрипт scripts/recommend.py. В среде Claude Code он читает метаданные напрямую из файлов skills-index.yaml и workflows/*.yaml. Рекомендатор сразу отделяет полностью бесплатные сценарии от цепочек, требующих платных интеграций вроде FMP.
Этот инструмент не отправляет ордера на биржу и не запускает торговлю на счёте. Он только объясняет архитектуру и даёт рекомендации. Если нужная функция ещё не готова (например, разбор портфеля из CSV пока не реализован), скрипт прямо сообщит о блокировке.
Какие задачи решает
- выбрать подходящий торговый воркфлоу под свой уровень опыта
- найти сценарии анализа рынка без платных API-ключей
- определить состав пакета скиллов под ограничение по времени
- проверить доступность инструментов перед настройкой интеграций
Примеры запросов агенту
- С чего мне начать свинг-трейдинг, если нет платных API-ключей?
- Посоветуй воркфлоу для проверки режима рынка с лимитом 30 минут в день.
- Какой скилл нужен для бэктеста идей начинающему инвестору?
Как установить trading-skills-navigator
1Через Skills CLI (Vercel)
npx skills add tradermonty/claude-trading-skills --skill trading-skills-navigator -a claude-code2Вручную: положить файлы
~/.claude/skills/trading-skills-navigator/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/trading-skills-navigator/
1Через Skills CLI (Vercel)
npx skills add tradermonty/claude-trading-skills --skill trading-skills-navigator -a codex2Вручную: положить файлы
.agents/skills/trading-skills-navigator/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add tradermonty/claude-trading-skills --skill trading-skills-navigator -a cursor2Вручную: положить файлы
.cursor/skills/trading-skills-navigator/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install tradermonty/claude-trading-skills trading-skills-navigator2Вручную: положить файлы
.github/skills/trading-skills-navigator/SKILL.md1Через Skills CLI (Vercel)
npx skills add tradermonty/claude-trading-skills --skill trading-skills-navigator -a gemini-cli2Командой платформы
gemini skills install https://github.com/tradermonty/claude-trading-skills --path skills/trading-skills-navigatorВручную: положить файлы
.devin/skills/trading-skills-navigator/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add tradermonty/claude-trading-skills --skill trading-skills-navigator -a opencodeClaude.ai
Упакуйте папку в zip и загрузите в Settings → Capabilities → Skills
По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов
Вопросы о trading-skills-navigator
Как установить trading-skills-navigator в Claude Code?
Выполните команду npx skills add tradermonty/claude-trading-skills --skill trading-skills-navigator -a claude-code.
Что делает trading-skills-navigator?
Он сопоставляет цель пользователя с каталогом из 74 скиллов и 12 воркфлоу. Инструмент называет нужный набор шагов, категорию связки и сообщает, понадобятся ли платные API-ключи.
Может ли скилл сам совершать сделки на бирже?
Нет, он не размещает заявки и не открывает позиции. Это навигатор, который подбирает конфигурацию и объясняет ограничения репозитория.
Исходный текст
SKILL.md · MIT
---
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
```bash
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, except when `no-api-path` is a constraint
on another matched goal. For `fallback`, state that no persona
matched and ask the user to rephrase; never present the beginner fallback as
an exact intent match. `unavailable` means the matched goal is blocked;
retain the original persona in the explanation.
- **Goal availability** — read `goal_match.workflow`, `runnability`, and
`missing_requirements` before describing a recommendation. `eligible` means
metadata and specified constraints permit that workflow; it does not confirm
that data or input files are ready. If `alternative_workflow` is present,
label it a **different-goal** on-ramp.
- **Secondary workflows** — if any, how they relate (e.g. "run the regime
check first, then this when it allows risk"). If `dropped_secondary_workflows`
is non-empty, say which follow-on workflows were omitted under no-API mode
and why; they never make the goal blocked.
- **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` → no usable path for the requested goal. (`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** — `honest_gap: true` means no usable path for this goal. If
`goal_match.runnability` is `unshipped`, no dedicated workflow exists and
`suggested_skills` may help. If it is `blocked`, a matching workflow exists
but is unavailable: explain each missing requirement. CSV portfolio review
is not shipped; offering a CSV as the portfolio source does not make it
runnable. Any CSV mention is read as the source unless it is clearly an
output (export/save/send; CSVに出力) with no input wording; naming Alpaca
alone never clears the gap.
- **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 API keys those skills need.
### Step 5 — Point to the learning loop
Close by pointing the user at `trader-memory-core` and the
`trade-memory-loop` / `monthly-performance-review` workflows so every
recommended path feeds the Plan → Trade → Record → Review → Improve loop.
## Output Format
The JSON the recommender emits (stable, idempotent, `sort_keys`):
| Field | Meaning |
|---|---|
| `primary_workflow` | Recommended workflow object, or `null` on an honest gap |
| `secondary_workflows` | Supporting workflows (ordered, time-budget filtered) |
| `skillset` | `{id, source: skills-index.category, manifest_status, manifest}`. `manifest_status` is `active` when `skillsets/<id>.yaml` ships, else `deferred`. `manifest` is the 5-key view `{display_name, required_skills, recommended_skills, optional_skills, related_workflows}` when active, else `null`. Describes the **primary skillset only** — not the install list |
| `setup_bundle` | `{required, recommended, optional, sources}` — the actionable install union over the primary skillset **and every secondary workflow** (deterministic, tier-deduped). **This is what to install.** All-empty on an honest gap (use `suggested_skills`) |
| `suggested_skills` | Skills to use when no workflow shipped (honest gap); else `[]` |
| `operational_roles` | Skill id → `{type, rationale?}` for every setup-bundle skill, or every `suggested_skills` item on an honest gap |
| `no_api` | Request-side: was no-API constraint mode active (flag or persona) |
| `no_api_path` | Path-side: does the **whole** recommendation (primary + every secondary) work without paid API keys? `true`/`false`; `null` on an honest gap. This is the DoD's API-vs-no-API separation — narrate it explicitly |
| `honest_gap` | `true` when no usable workflow can serve the matched goal (`unshipped` or `blocked`) |
| `goal_match` | Original `{persona, workflow, runnability, missing_requirements}`; `eligible` only means metadata/constraint eligibility |
| `alternative_workflow` | Separate `{workflow, relationship: different_goal, no_api_path, explanation}` or `null`; never substitutes for the goal |
| `dropped_secondary_workflows` | `[{id, reason}]` — secondary workflows removed because they need a paid API under `--no-api`; `[]` otherwise. Not a blocker: narrate it so the user knows a follow-on step was omitted |
| `note` | Plain-language explanation for gaps / unmapped input |
| `rationale` | Ordered list of why-this-was-recommended strings |
| `routing_diagnostics` | `{status, selected_persona, candidate_personas, explanation}`. `status` is `exact`, `ambiguous`, `fallback`, or `unavailable`; candidates are all pre-constraint persona matches in deterministic order |
| `setup_path_ref` | Pointer to the setup-path reference |
## Resources
- `scripts/recommend.py` — the deterministic recommender (single source of
truth for routing).
- `scripts/build_snapshot.py` — regenerates `assets/metadata_snapshot.json`
from the SSoT; `--check` guards drift (pre-commit + CI).
- `scripts/intent_benchmark.py` — validates the fail-closed bilingual routing
corpus, persona shadowing contracts, and metamorphic invariants.
- `references/intent_routing.md` — the persona table, the 10-question contract,
the `--no-api` credential rule, and scoring tie-breaks.
- `references/setup_paths.md` — Claude Web App vs Claude Code setup steps.
- `assets/metadata_snapshot.json` — generated SSoT digest for the Web App
fallback. Never edit by hand; run `build_snapshot.py`.
- `assets/intent_benchmark_v1.json` — 211 explicitly labeled EN/JA routing
cases with 1.0 precision/recall and per-persona/workflow coverage gates.
© tradermonty · MIT · tradermonty/claude-trading-skills