Skills strategy-translator
install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/ahuserious/strategy-translator" ~/.claude/skills/openclaw-skills-strategy-translator && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/ahuserious/strategy-translator" ~/.openclaw/skills/openclaw-skills-strategy-translator && rm -rf "$T"
manifest:
skills/ahuserious/strategy-translator/SKILL.mdsource content
Strategy Translator
Source: https://mcpmarket.com/tools/skills/strategy-translator
Use When
- You need to apply this capability as part of trading research workflows (data, features, backtests, ML, reporting).
- You want a reproducible output that can be committed to this repo (code, configs, docs).
Inputs To Ask For
- Objective: what success looks like (metric, constraints, time horizon).
- Data: symbols, timeframe, sampling, data sources, and leakage risks.
- Constraints: compute budget, latency, interpretability, and deployment requirements.
Outputs
- A concrete plan (steps + checks).
- A minimal implementation sketch (files to create/change) and verification steps.
- If applicable: a risk checklist (leakage, overfitting, evaluation pitfalls).
Workflow
- Restate the task in measurable terms.
- Enumerate required artifacts (datasets, features, configs, scripts, reports).
- Propose a default approach and 1-2 alternatives.
- Add validation gates (walk-forward, Monte Carlo, sanity checks).
- Produce repo-ready deliverables (code + docs) and a run command.