☀️ Prompt management

Scores every human prompt saved in a repo's git history against a five-part rubric and writes a report of the three habits to fix first, what to keep doing, and rewrites of the weakest prompts using real examples. Use when someone asks how to prompt better, wants tips on their prompting, asks for a prompt report, review, or audit, or wants to see whether their prompts are improving over time.

Version, cite, evaluate, and distribute prompts like code.

Use whenever a skill or agent rule (any SKILL.md) is edited, improved, fixed, created, removed, or receives feedback.

Keeps third-party agent skills safe and reproducible in a repo — read before install, pin to commit SHAs, commit the lockfile, and re-review on update. Use when installing, updating, or auditing agent skills from any external source in any project.

Evaluates a skill distributed on uplift.page using live platform data — conversion cleanliness, size, citation, freshness, workspace usage, and outcome feedback. Use when asked whether a skill is healthy, worth keeping, or needs work, when auditing a workspace library, or before promoting a skill to the public library.

Manages a workspace's skill library on uplift.page — add, update, pull, install, and archive skills through the uplift MCP workspace tools. Use when asked to save a skill to uplift.page, install or pull a skill from uplift.page, update or remove a distributed skill, or sync a project's skills with a workspace library.

Curates the prompts served by the uplift.page prompt API — audits against best practices, applies minor fixes through the API, and files change requests for major rewrites. Use when asked to review, improve, fix, or update prompts in the public library or a workspace library.

Offers to save newly created or edited agent skills to the uplift.page workspace library so they are versioned and distributed. Use whenever a skill or agent rule file (any SKILL.md or equivalent) is created, edited, fixed, or improved in any project.