Repository
tradingstrategy-ai/trade-executor agent skills
- skill
- 1
- GitHub stars
- 160
GitHub description: “A Python framework for managing positions and trades in DeFi”
- Stars
- 160 (35 forks)
- Licence
- Unknown
- Last push
- Oct 2026
- Created
- Jan 2022
- Homepage
- tradingstrategy.ai
- ethereum
- binance-smart-chain
- algorithmic-trading
- quantitative-finance
- trading-strategies
- blockchain
- web3
- uniswap
- pancakeswap
- sushiswap
- cryptocurrency
- defi
- trading-bot
Install all skills
npx skills add tradingstrategy-ai/trade-executorAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in tradingstrategy-ai/trade-executor, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Transfer code from a backtesting Jupyter notebook to a Trade Executor strategy module | tradingstrategy-ai/ | 160 | — | ~1.1k | Automated safety check: Pass | Unknown | yesterday |
Questions, answered from the data.
What is the best skill in tradingstrategy-ai/trade-executor?
Notebook To Strategy from tradingstrategy-ai/trade-executor ranks first of the 1 skills in tradingstrategy-ai/trade-executor listed here, with the highest score: its repository has 160 GitHub stars, its SKILL.md loads about 1.1k tokens and it passes the automated safety check with no findings.
Are the skills in tradingstrategy-ai/trade-executor official?
None yet. All 1 skills in tradingstrategy-ai/trade-executor listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from tradingstrategy-ai/trade-executor?
Run npx skills add tradingstrategy-ai/trade-executor in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.