/prompt-optimization
Use when auditing an existing prompt for clarity, structure, or completeness issues, fixing vague instructions, or producing a before/after optimization report.
$ npx -y skills add fusengine/agents --skill prompt-optimization --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/prompt-optimization
Context preview
The summary Claude sees to decide when to auto-load this skill.
Use when auditing an existing prompt for clarity, structure, or completeness issues, fixing vague instructions, or producing a before/after optimization report.
SKILL.md
prompt-optimization.SKILL.mdname: prompt-optimization
description: "Use when auditing an existing prompt for clarity, structure, or completeness issues, fixing vague instructions, or producing a before/after optimization report."
allowed-tools: Read, Write, Edit
<objective> Prompt Optimization analyzes and improves an existing prompt through a 5-step workflow: analyze the current prompt, identify issues, apply corrections, validate the improvement, and document the changes. Its checklist covers four dimensions -- clarity (unambiguous instructions, precise vocabulary), structure (well-delimited sections, logical order), completeness (output format, error cases, examples), and guardrails (explicit limits, forbidden behaviors, security).
It never changes the prompt's original meaning, adds unrequested features, removes existing guardrails, or lengthens the prompt without justification. See `common-problems.md` for before/after fix patterns and `improvement-techniques.md` for strengthening via CoT, few-shot, or guardrails. </objective>
Prompt Optimization
Skill for analyzing and improving existing prompts.
References
- [common-problems.md](references/common-problems.md) - Load when: diagnosing a vague or ambiguous prompt — 5 before/after examples (vague instructions, missing context, undefined format, no error handling, weak emphasis)
- [improvement-techniques.md](references/improvement-techniques.md) - Load when: strengthening a prompt with Chain-of-Thought, few-shot examples, or reinforced guardrails
- [scorecard-template.md](references/scorecard-template.md) - Load when: writing the before/after optimization report to hand off
Optimization Workflow
1. ANALYZE current prompt
↓
2. IDENTIFY issues
↓
3. APPLY corrections
↓
4. VALIDATE improvement
↓
5. DOCUMENT changes
Analysis Checklist
Clarity
- [ ] Unambiguous instructions?
- [ ] Clearly defined objective?
- [ ] Precise vocabulary?
Structure
- [ ] Well-delimited sections?
- [ ] Logical order?
- [ ] Clear hierarchy?
Completeness
- [ ] Output format defined?
- [ ] Error cases handled?
- [ ] Examples if needed?
Guardrails
- [ ] Explicit limits?
- [ ] Forbidden behaviors listed?
- [ ] Appropriate security?
For common problem patterns with before/after fixes, see [common-problems.md](references/common-problems.md). For techniques to strengthen a prompt (CoT, examples, guardrails), see [improvement-techniques.md](references/improvement-techniques.md).
Forbidden
- Never change the original meaning of the prompt
- Never add unrequested features
- Never remove existing guardrails
- Never make the prompt longer without justification
Read more
name: prompt-optimization description: "Use when auditing an existing prompt for clarity, structure, or completeness issues, fixing vague instructions, or producing a before/after optimization report." allowed-tools: Read, Write, Edit
<objective> Prompt Optimization analyzes and improves an existing prompt through a 5-step workflow: analyze the current prompt, identify issues, apply corrections, validate the improvement, and document the changes. Its checklist covers four dimensions -- clarity (unambiguous instructions, precise vocabulary), structure (well-delimited sections, logical order), completeness (output format, error cases, examples), and guardrails (explicit limits, forbidden behaviors, security).
It never changes the prompt's original meaning, adds unrequested features, removes existing guardrails, or lengthens the prompt without justification. See `common-problems.md` for before/after fix patterns and `improvement-techniques.md` for strengthening via CoT, few-shot, or guardrails. </objective>
Prompt Optimization
Skill for analyzing and improving existing prompts.
References
- [common-problems.md](references/common-problems.md) - Load when: diagnosing a vague or ambiguous prompt — 5 before/after examples (vague instructions, missing context, undefined format, no error handling, weak emphasis)
- [improvement-techniques.md](references/improvement-techniques.md) - Load when: strengthening a prompt with Chain-of-Thought, few-shot examples, or reinforced guardrails
- [scorecard-template.md](references/scorecard-template.md) - Load when: writing the before/after optimization report to hand off
Optimization Workflow
1. ANALYZE current prompt ↓ 2. IDENTIFY issues ↓ 3. APPLY corrections ↓ 4. VALIDATE improvement ↓ 5. DOCUMENT changes
Analysis Checklist
Clarity
- [ ] Unambiguous instructions?
- [ ] Clearly defined objective?
- [ ] Precise vocabulary?
Structure
- [ ] Well-delimited sections?
- [ ] Logical order?
- [ ] Clear hierarchy?
Completeness
- [ ] Output format defined?
- [ ] Error cases handled?
- [ ] Examples if needed?
Guardrails
- [ ] Explicit limits?
- [ ] Forbidden behaviors listed?
- [ ] Appropriate security?
For common problem patterns with before/after fixes, see [common-problems.md](references/common-problems.md). For techniques to strengthen a prompt (CoT, examples, guardrails), see [improvement-techniques.md](references/improvement-techniques.md).
Forbidden
- Never change the original meaning of the prompt
- Never add unrequested features
- Never remove existing guardrails
- Never make the prompt longer without justification
A plugin ecosystem that turns Claude Code into a supervised, multi-agent development environment.
Repo: fusengine/agents
Other skills on fusengine-agents.
- /agent-creator
Use when creating expert agents. Generates agent.md with frontmatter, hooks, required sections, and skill references.
Open skill - /apex-methodology
Use when starting ANY development task -- feature, bug fix, refactor, hotfix (triggers: implement, create, build, fix, add feature, refactor, develop).
Open skill - /brainstorming
Use when creating a feature/component or adding functionality. Fires BEFORE APEX Analyze to refine requirements via structured questioning.
Open skill - /challenge
Use before a root-cause, done/verified claim, irreversible action, or 2nd-time fix reaches the owner (APEX or plain conversation); also fires at every eLicit/Verify gate. Not for code correctness (use sniper).
Open skill - /code-quality
Use when validating code quality after modifications -- SOLID compliance, DRY duplication, linter errors, architecture violations. Do NOT use for functional verification (run verification FIRST, then code-quality).
Open skill - /elicitation
Use when an expert agent self-reviews and self-corrects code after the Execute phase, before sniper validation (BMAD-METHOD elicitation techniques).
Open skill

