backtest-expert
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating…
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
$ npx -y skills add BaggaT236/AI-Trading-Skills --skill trading-skills-navigator --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/trading-skills-navigatorContext 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
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.
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.
skill/workflow to use ("どれを使えばいい", "where do I start").
"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.
From the user's message, extract:
(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.
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
(`skills-index.yaml` + `workflows/*.yaml`) automatically.
falls back to the bundled `assets/metadata_snapshot.json`. The recommendation is byte-identical in both environments — no behavior change for the user.
Parse the JSON and explain, in the user's language:
`api_profile`. State plainly what it does and when to run it.
check first, then this when it allows risk").
`manifest_status: active` means a curated `skillsets/<id>.yaml` bundle ships for this category (market-regime, core-portfolio, swing-opportunity, trade-memory) — 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.
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").
this intent. Say so directly, then present `suggested_skills` from the relevant category and relay the `note`. Never invent a workflow.
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.
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.
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}` w
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