Skip to content
TrustedSkillsbeta
Back to all skills

Refine Prompt

Listed
paulrberg·vlatest·ai-ml·MIT

Refines user prompts for better AI responses by suggesting clearer phrasing and context – boosting output quality and accuracy.

Repository

Install on your platform

This skill no longer installs under the name refine-prompt. paulrberg/agent-skills has no skill named "refine-prompt" any more. It was renamed, moved or deleted upstream.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

paulrberg

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 46 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as paulrberg/agent-skills.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The refine-prompt skill allows AI agents to iteratively improve their own instructions based on feedback or performance metrics. It enables dynamic adjustment of prompt parameters to optimize output quality without requiring manual intervention from the user.

When to use it

  • Iterative Optimization: When an initial prompt generates acceptable but not perfect results, allowing the agent to tweak variables for better accuracy.
  • Context Adaptation: When task requirements change mid-session, enabling the agent to update its instructions to align with new constraints.
  • Error Correction: When the agent produces hallucinations or formatting errors, triggering an automatic rewrite of the prompt to prevent recurrence.
  • Complex Task Decomposition: When breaking down multi-step workflows requires adjusting the specific focus or tone of individual sub-prompts.

Key capabilities

  • Analyzes current output against desired outcomes.
  • Modifies prompt structure and parameters dynamically.
  • Implements feedback loops for continuous improvement.
  • Adjusts tone, length, and specificity based on context.

Example prompts

  • "Refine your previous response to be more concise and include specific data sources."
  • "Analyze why the last output missed the user's constraints and rewrite the prompt to address them."
  • "Iterate on this coding task prompt to ensure better error handling in the generated code."

Tips & gotchas

Ensure you provide clear success criteria when requesting refinement, as vague goals may lead to minor adjustments rather than significant improvements. This skill is most effective when paired with a specific evaluation metric or feedback mechanism to guide the optimization process.