prompt-engineering

prompt-engineering is a Prompt design & optimisation skill for AI agents, published by CodeAlive-AI in the ai-driven-development repository on GitHub. Skillspace rates prompt-engineering D (67/100) and it passed the safety scan; the rating is based on static analysis only.

Universal prompt engineering techniques for any LLM. Use when crafting, optimizing, or reviewing prompts for AI models. Triggers on requests like "improve this prompt", "write a system prompt", "optimize my instructions", "help me prompt engineer", "audit this prompt", "review my prompt", or when building agentic systems that need structured prompts.

Grade
D
Quality
67 / 100
Safety
Passed
GitHub stars
100

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubCodeAlive-AI/ai-driven-development

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in Prompt design & optimisation

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.