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OpenClaw

strategy-translator

Translate trading strategies between different frameworks and languages. Use when converting Pine Script to Python, porting strategies to NautilusTrader, or cross-platform migration.

ahuserious0 source installs☆ 0 Repository starsv1.0.0

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install ahuserious/strategy-translator

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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

  1. Restate the task in measurable terms.
  2. Enumerate required artifacts (datasets, features, configs, scripts, reports).
  3. Propose a default approach and 1-2 alternatives.
  4. Add validation gates (walk-forward, Monte Carlo, sanity checks).
  5. Produce repo-ready deliverables (code + docs) and a run command.

Source information

Source
github
Repository
openclaw/skills
Path
skills/ahuserious/strategy-translator
Version
1.0.0
Commit
ef0665541cc92d595ce22b33e82e7a9588490698
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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

1. Restate the task in measurable terms.
2. Enumerate required artifacts (datasets, features, configs, scripts, reports).
3. Propose a default approach and 1-2 alternatives.
4. Add validation gates (walk-forward, Monte Carlo, sanity checks).
5. Produce repo-ready deliverables (code + docs) and a run command.

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