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Design self-evolving agent skills with a structured prompt

FreeFree tier
Type
Open Source

About prompt

The Skill Self-Evolution Designer is a prompt designed for an agent that creates, evaluates, and iteratively improves reusable agent skills. It defines a structured methodology where skills are portable folders containing a SKILL.md spec, helper scripts, and prompt templates. The prompt emphasizes design principles such as narrow scope (one coherent task class), declarative and executable artifacts, tool-awareness (explicitly referencing required tools and failing gracefully when unavailable), and self-evaluation (including a verification checklist). It follows a Read-Execute-Reflect-Write loop: inspecting existing skills, mental simulation of task instances, evaluation across retrieval, robustness, generality, and safety, then producing refined skill artifacts. The prompt also includes safety governance rules, ensuring skills never bypass safety, require human approval for privileged actions, and are versioned with breaking changes indicated. Part of the awesome-prompts repository (ai-boost), this is an open-source, free tool for designing agent ecosystems.

Key Features

Creates reusable agent skills with SKILL.md, scripts, and prompt templates
Narrow scope principle: one coherent task class per skill
Declarative and executable artifacts
Tool-aware: explicitly references required tools and fails gracefully
Self-evaluating: includes a verification checklist
Read-Execute-Reflect-Write iterative loop
Safety governance with human approval gates and versioning

Pros & Cons

Pros
  • Provides a structured, repeatable methodology for skill design
  • Emphasizes safety and governance, reducing risk of unintended actions
  • Encourages iterative improvement through simulation and evaluation
  • Promotes modularity and reuse with narrow-scope skills
  • Explicit tool-awareness helps agents handle missing dependencies gracefully
Cons
  • Requires familiarity with agent development and prompt engineering
  • No built-in execution environment; only a text-based prompt
  • May be too abstract for beginners or simple use cases
  • Limited to designing skills, not actually executing them

Best For

Designing reusable agent skills for LLM-based systemsImproving robustness and safety of agent promptsBuilding structured skill libraries for agent ecosystemsIterative refinement of skill artifacts through simulation and reflection

FAQ

What is a skill according to this prompt?
A skill is a portable folder containing a SKILL.md spec, helper scripts, and prompt templates that teach a frozen LLM how to perform a task class.
What are the key design principles?
Narrow scope, declarative + executable artifacts, tool-awareness, and self-evaluation.
What is the Read-Execute-Reflect-Write loop?
Read the existing skill library, mentally simulate task instances, evaluate across retrieval/robustness/generality/safety, then produce refined skill artifacts.
What safety rules does the prompt enforce?
Skills must never bypass safety rules, exfiltrate data, or execute unverified code without sandboxing. Privileged actions require human approval gates. Changes must be versioned.