smkalami/skills
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A collection of agent skills that give AI agents structured, reusable workflows for tackling complex problems.
Обзор
A collection of agent skills that give AI agents structured, reusable workflows for tackling complex problems. These skills go beyond simple prompting to deliver consistently higher-quality results. Skills like evo-search and tournament-search generate and evaluate multiple candidate responses across several rounds. Certain decorators in prompt-decorators also add extra reasoning or refinement steps. This increases token consumption significantly compared to a single plain prompt. The benefit is higher response quality, but it is not free. If you are on a metered subscription, running these skills can cost noticeably more. Consider using lighter configurations (for example, fewer iterations, a smaller population, or simpler decorators) when your token budget is limited. Solves complex, open-ended problems using a .
README
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Agent Skills by Mostapha Kalami Heris
A collection of agent skills that give AI agents structured, reusable workflows for tackling complex problems. These skills go beyond simple prompting to deliver consistently higher-quality results.
More skills will be added over time.
Table of Contents
Skills
Note on token usage: Skills like
evo-searchandtournament-searchgenerate and evaluate multiple candidate responses across several rounds. Certain decorators inprompt-decoratorsalso add extra reasoning or refinement steps. This increases token consumption significantly compared to a single plain prompt. The benefit is higher response quality, but it is not free. If you are on a metered subscription, running these skills can cost noticeably more. Consider using lighter configurations (for example, fewer iterations, a smaller population, or simpler decorators) when your token budget is limited.
evo-search
Solves complex, open-ended problems using a genetic-algorithm-style search loop.
It generates a diverse initial population of candidate answers, scores each one against a weighted rubric, and then repeatedly applies selection, crossover, and mutation to produce stronger solutions. The final output includes the top 3 solutions with scores, a contrast table, and an evolution trace.
When this skill is triggered:
- The user asks for an “evolutionary search”, “genetic algorithm”, “evolve an answer”, or “breed solutions”
- The user says “give me multiple approaches and refine the best one”
- The problem is complex or open-ended with no single correct answer, and the user wants a deeply explored result
Key parameters (set in plain language):
| Parameter | Default | Effect |
|---|---|---|
population |
6 | Candidates per generation |
iterations |
5 | Evolution cycles |
mutation_rate |
0.2 | Fraction of offspring mutated |
top_k |
3 | Final solutions shown in full |
Install:
- CLI tools: run in your terminal:
npx skills@latest add smkalami/skills/evo-search - AI assistant platforms: download and upload
evo-search.skill
Example usage:
Use evo-search to invent a new programming paradigm that blends constraint propagation
with biological growth patterns. Something that does not exist yet but could realisticallyРекомендуемые инструменты
Попробуйте другой запрос или уберите фильтр.
Установка
npx skillfish add smkalami/skills