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Coding · Advanced

# Curate and route custom agent skills for automated tasks

Select relevant execution skills for incoming jobs and refine playbooks based on run outcomes

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askReceive new coding task
- ThenMatch skills and track execution
- ResultPropose skill updates for review

Maintain a catalog of modular execution routines for software tasks. When a new task arrives, find and recommend matching skills, monitor the execution trajectory, and log outcome signals. Review what worked or failed to suggest updates to the shared skill documentation.

## Prompt to start with

BotBentoRecommended

```
When a development task is submitted, search the skill library in the database and recommend the most relevant procedures. Monitor execution logs in the terminal. After task completion, draft performance notes evaluating which steps succeeded. Always ask for user confirmation before modifying or committing changes to the skill documentation in github.
```

Copy

## Tools it uses

DatabaseGitHubTerminal

## Works with

BotBento

## Tags

- agent skills
- automation
- developer tools
- code generation
- workflow

## Source

[skills-vote: SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution](https://github.com/MemTensor/skills-vote)
GitHub · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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