Prompt Optimizer
Paste the following prompt into your AI chat to install this skill:
Please follow https://skillhub.cn/install/skillhub.md to install @user_dca6a55a/prompt-plus.
About this skill
Problem
Prompt writing often stalls on unclear intent, missing constraints, and non-reusable experience. prompt-plus is for engineers and agent developers who repeatedly create, diagnose, and refine Prompt artifacts, turning vague requirements into reviewable, saved, searchable prompt assets.
Workflow
The skill provides three modes:
- Create mode: runs without parameters, moving through requirement clarification, scenario deep-diving, structure draft, generation review, and persistence.
- Optimize mode: takes an existing Prompt, restores intent, decomposes structure, scores quality, matches patterns, then outputs before/after changes and reasoning.
- Learn mode: uses --learn to analyze strong examples, extract role setting, step-by-step guidance, output control, and other techniques, then writes patterns into knowledge/patterns/ indexes.
The key principle is understand first: each round asks at most 4 questions, challenges vague phrases such as “better,” and preserves original intent while explaining what each change fixes.
Boundaries
It fits Chinese-language, maintenance-oriented team workflows that rely on AskUserQuestion and a Markdown knowledge base. It is less suitable for one-off simple instructions, zero-interaction batch pipelines, or environments where target model, input/output format, and business constraints are unavailable; result quality still depends on the supplemental information supplied.
Use Cases
- Turn vague writing requirements into reusable prompts with role, constraints, and output format.
- Diagnose ambiguity, context gaps, and formatting constraints in existing prompts, then show before/after.
- Extract roles, step-by-step guidance, and output control from strong prompts into searchable patterns.
- Complete input/output and boundary constraints before drafting customer-support, code-review, or summarization agents.
Best For
- Engineers maintaining multi-turn agent prompts who need to distill scattered experience into reusable patterns.
- Product or ops owners turning business requirements into prompts who need role, constraint, and output-format clarity.
- Technical reviewers of existing prompts who need to identify ambiguity and context gaps with reasoned fixes.
- ML engineers studying strong prompts who need to extract techniques and add searchable knowledge entries.
Related Skills
Turn vague requests into structured prompts with role, task, context, and constraints, outputting only usable prompts without executing the task.
A skill for game NPC and enemy AI that separates decision, steering, and pathfinding, covering FSMs, behavior trees, A*, path caching, and pitfalls.
Provides multi-turn emotional companion chat through a third-party Agent API and supports continuing sessions via session_id.
An evaluation-driven workflow for diagnosing, optimizing, validating, and logging Agent Skills based on design patterns and anti-patterns.