prompt-engineering
prompt-engineering is a Prompt design & optimisation skill for AI agents, published by alfonsograziano in the auto-agent repository on GitHub. Skillspace rates prompt-engineering D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Rules and frameworks for writing high-quality LLM system prompts. Use this skill whenever you are authoring, reviewing, editing, or optimizing a system prompt — including when generating a system prompt as part of building an agent, tool, or workflow. Trigger on any task that involves writing instructions for an LLM, crafting a system message, tuning prompt wording, or reviewing an existing prompt for quality. Even if the user doesn't say 'system prompt' explicitly, use this skill when the output will be consumed as LLM instructions.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 50
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.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
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