llm-application-dev-prompt-optimize – Agents & Automation skill for AI agents
Improve LLM prompts using task-specific evaluation, structured instructions, and regression checks.
Install the llm-application-dev-prompt-optimize skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/llm-application-dev-prompt-optimize-6c0e3.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /llm-application-dev-prompt-optimize – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/llm-application-dev-prompt-optimize-6c0e3.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $llm-application-dev-prompt-optimize – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/llm-application-dev-prompt-optimize-6c0e3.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /llm-application-dev-prompt-optimize – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/llm-application-dev-prompt-optimize-6c0e3.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /llm-application-dev-prompt-optimize – then describe the task you want done.
SKILL.md content
Prompt Optimization
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimization.
Use this skill when
- Working on prompt optimization tasks or workflows
- Needing guidance, best practices, or checklists for prompt optimization
Do not use this skill when
- The task is unrelated to prompt optimization
- You need a different domain or tool outside this scope
Context
Transform basic instructions into production-ready prompts. Prompt changes can improve or worsen quality, latency and cost. Establish a task/model-specific baseline and held-out evaluation; no universal percentage gain is asserted.
Requirements
$ARGUMENTS
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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