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- Prompt Engineer Lite Pack
Prompt Engineer Lite Pack
Turn a fuzzy task into a reusable LLM prompt with context boundaries, constraints, output schema, and test cases.
Free
Works with the AI tools you already use
Prompt Engineer Lite Pack
Example session with this skill installed
Turn this rough request into a production-ready prompt: “Review customer interview notes and identify the top product problems.” Audience: a product manager. Output: a prioritized table with evidence and confidence. Do not invent facts.
- Read your context and instructions
- Compiled the prompt engineer lite
- Generated the UI component
Goal & assumptions
Create a repeatable synthesis prompt for a product manager. The notes are the only evidence source; no external facts are assumed.
Prompt draft
You are a careful product research analyst.
Task: Review the customer interview notes below and identify the most important product problems.
Inputs
- Interview notes: {{paste_notes}}
- Product context (optional): {{context_or_Unknown}}
Method
1. Extract each distinct problem and preserve the speaker’s meaning.
2. Group duplicates and near-duplicates.
3. Rank using frequency, severity, and evidence strength. Do not infer a problem without a quote or explicit note.
4. Separate observed evidence from interpretation.
Output
1. Table: Rank | Problem | Evidence quotes | Frequency (if countable) | Severity | Confidence | Open question.
2. A short “What we do not know” section.
3. Three next-step interview or product questions.
Constraints
- Use only the supplied notes.
- Quote or point to the relevant note for every ranked problem.
- If unsupported, write Unknown.
Quality checks
- Every ranked item has traceable evidence.
- Unknowns are labeled, not filled with guesses.
- Problems are distinct and actionable.
- Output matches the requested table and next-step sections.
How to iterate
Add a severity rubric or target segment definition for more consistent ranking.
prompt-engineer-lite-pack.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.
About this skill
Prompt Engineer Lite is a concise, honest starter workflow for prompt engineering.
It helps your agent clarify goals, audience, inputs, constraints, and success criteria; choose a practical prompt pattern; draft explicit prompts with output formats and quality checks; flag missing information instead of guessing; and provide safe fallbacks for conflicting or unsafe requests.
Use it for one-off prompt refinement, structured extraction, drafting, critique-and-revise, and small production experiments. It does not claim to run tests or provide hidden model access.
For deeper prompt systems, evaluation matrices, multi-agent orchestration, and reusable prompt libraries, see Cygnix Labs paid packs.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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Click the path to copy it. Create the folder if it does not exist yet.
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