Finalize agent prompt
Finalize prompt file using the role of an AI agent to polish the prompt for the end user.From its SKILL.md
npx -y skills add github/awesome-copilot --skill finalize-agent-promptAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
0.9 KB, 154 tokens by cl100k_base, as published. Nobody here has run it
Finalize 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.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most prompt engineering skills give in 154 tokens
Counted across 542 of the 575 authors here whose files we hold, read 2026-09-06
- Provide few-shot examples for complex tasksin 17 of 542, across 16 files
- Ask clarifying questions if information is ambiguousin 16 of 542, across 14 files
- Output a complete optimized prompt for the userin 15 of 542, across 9 files
- Validate structured outputs against schemasin 15 of 542, across 13 files
- Analyze the draft prompt for intent and gapsin 14 of 542, across 8 files
- Detect project tech stack from local filesin 14 of 542, across 8 files
- Recommend a model based on task scopein 13 of 542, across 7 files
- Present results in the specified output formatin 13 of 542, across 7 files
- Match intent and scope to ECC componentsin 13 of 542, across 7 files
- Ask one question at a timein 13 of 542, across 12 files
- Respond in the same language as the user inputin 12 of 542, across 6 files
- Ask up to three clarification questions if context is missingin 11 of 542, across 5 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.