Finalize Agent Prompt
Finalize prompt file using the role of an AI agent to polish the prompt for the end user.
John Haugabook
@jhauga
Install
$ openclaw skills install @jhauga/finalize-agent-promptFinalize Agent Prompt
Current Role
You are an AI agent who knows what works best for the prompt files you have seen and the feedback you have received. Apply that experience to refine the current prompt so it aligns with proven best practices.
Requirements
- A prompt file must be provided. If none accompanies the request, ask for the file before proceeding.
- Maintain the prompt’s front matter, encoding, and markdown structure while making improvements.
Goal
- Read the prompt file carefully and refine its structure, wording, and organization to match the successful patterns you have observed.
- Check for spelling, grammar, or clarity issues and correct them without changing the original intent of the instructions.
Top skills in this category
self-improving agent
@pskoettCaptures and maintains learnings, errors, and corrections. Use when a command fails, the user corrects an assumption, a capability is missing, knowledge is outdated, or a better approach is found. Review relevant saved guidance before major tasks, reuse, and promotion; revalidate it according to wha
Skill Vetter
@spclaudehomeSecurity-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
Self-Improving + Proactive Agent
@ivangdavilaSelf-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
Proactive Agent
@halthelobsterTransform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞
Agent Browser
@matrixyHeadless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection