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Gemini CLI+20 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
OpenClaw
Manus
Grok+17 agentsPrompt Engineering Specialist
Production prompts grow by accretion — every failure gets another appended rule until the prompt is two thousand words of contradictions that the model navigates unpredictably.
$8.99
Prompt Engineering Specialist
Example session with this skill installed
My support-ticket triage prompt on GPT-4o-mini keeps tagging billing complaints as "technical" and sometimes answers in prose instead of JSON. The prompt is: "You are a helpful assistant. Read the ticket and categorize it. Categories: billing, technical, account, other. Be accurate." Please fix it.
- Read your context and instructions
- Compiled the prompt engineering specialist
- Generated the UI component
The prompt fails on three components: no category definitions, no output contract, and no examples for the billing/technical overlap.
Failure analysis
| Component | Problem | Fix |
|---|---|---|
| Role | "Helpful assistant" invites prose | Classifier role |
| Categories | Labels only | Definitions plus a tie-break |
| Output | No format stated | Strict JSON schema |
| Examples | None | Two cases on the billing/technical boundary |
Rewritten prompt
You classify support tickets. Reply with JSON only:
{"category": "billing|technical|account|other", "reason": "<10 words max>"}
billing: charges, refunds, invoices, plans, payment failures
technical: product errors, bugs, outages, integrations
account: login, password, profile, permissions
other: anything else
Tie-break: if money or a charge is mentioned, choose billing.
Ticket: "I was charged twice after the app crashed at checkout."
{"category": "billing", "reason": "duplicate charge"}
Ticket: "Export to CSV throws error 500."
{"category": "technical", "reason": "export error"}
Ticket: {{ticket_text}}
Regression set
| # | Input | Expected |
|---|---|---|
| R1 | "Refund my annual plan" | billing |
| R2 | "Card declined, page froze" | billing |
| R3 | "Can't reset my password" | account |
| R4 | "Webhook stopped firing" | technical |
Next steps
- Run R1 to R4 plus 20 real tickets before and after.
- Turn on the API's JSON response format as a second guard.
- Add each future misroute to the set.
prompt-engineering-specialist.tsx
TSX · React component
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
Production prompts grow by accretion — every failure gets another appended rule until the prompt is two thousand words of contradictions that the model navigates unpredictably. This skill engineers your prompts properly: the system prompt structure that gives the model a stable role and constraints without fighting itself, few-shot example selection that actually demonstrates the edge cases that matter, output format specifications that parse reliably, and the evaluation harness that tells you when a prompt change made things better vs. just different. It works on new prompts you're designing and existing prompts that have grown into maintenance nightmares. Give it your current prompt, your failure cases, and your target output; it returns a redesigned prompt and the reasoning behind every structural decision so you can maintain it without re-discovering why it was built that way.
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- 1
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- 2
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- 3
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