prompt-engineer
A structured Python script that automates prompt optimization through a 6-step workflow. It starts with triage to determine scope (single prompt, ecosystem, greenfield, or problem), then executes specific optimization steps. The skill enforces immediate execution without analysis paralysis.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install solatis-claude-config-prompt-engineer
Repository
Skill path: skills/prompt-engineer
A structured Python script that automates prompt optimization through a 6-step workflow. It starts with triage to determine scope (single prompt, ecosystem, greenfield, or problem), then executes specific optimization steps. The skill enforces immediate execution without analysis paralysis.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, Data / AI.
Target audience: Meta teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: solatis.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install prompt-engineer into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/solatis/claude-config before adding prompt-engineer to shared team environments
- Use prompt-engineer for meta workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.