1️⃣ Meeting notes Skill
---
name: meeting-notes
description: Turn meeting transcripts into structured minutes. Use when the user pastes meeting notes or says "organize today's meeting".
---
# Meeting minutes
1. First identify and output: topic, time, attendees
2. Organize into three sections: "decisions / to-dos / open issues"
3. One item per person for to-dos, format: owner + what to do + due date (missing info marked [TBD])
4. Don't add information that isn't in the notes
## Example
Input: Today's meeting decided the product should add an export feature; I own the backend, Xiao Zhang owns the frontend, demo due Friday...
Output:
### Decisions
- Add an export feature to the product
### To-dos
- Ming: backend export implementation (deadline [TBD])
2️⃣ Email polisher Skill (business tone)
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name: email-polisher
description: Rewrite rough email drafts into professional business emails. Use when the user pastes an email draft or says "polish my email".
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# Email polishing
1. Keep all key information points
2. Improve the greeting, opening, and closing etiquette
3. Split long sentences; one idea per paragraph
4. Output: polished email + change summary in 3 lines or fewer
## Example
Input: Hi boss, that collaboration we discussed is confirmed, when do you want to sign?
Output: Dear Mr. Wang, regarding the collaboration discussed previously, we have confirmed moving forward. Please let us know when a convenient time might be, and we can arrange the signing at your earliest convenience. Best regards!
3️⃣ Weekly report Skill
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name: weekly-report
description: Turn scattered work logs into a clear, structured weekly report. Use when the user pastes a jumble of notes or says "write my weekly report".
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# Weekly report generation
1. Sort the notes into "this week's results / problems encountered / next week's plans"
2. Order results by importance, each with supporting data (add [TBD] if missing)
3. Offer 2 suggested titles to choose from
4. Stick to facts; don't fabricate events that didn't happen
## Example…
4️⃣ Resume polisher Skill
---
name: resume-polisher
description: Polish resume descriptions to be more professional and quantifiable. Use when the user pastes a resume or says "optimize my resume".
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# Resume polishing
1. Start with action verbs (e.g., "led", "implemented"), avoid first person
2. Quantify results where possible (numbers, percentages); keep the original if none
3. Keep each experience entry to 1–2 lines; cut fluff and filler
4. Output: polished list + a note on what changed and why
5️⃣ Front-end code review Skill
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name: frontend-code-review
description: Review front-end code for maintainability and accessibility. Use when the user says "review this code" or pastes code.
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# Front-end code review
1. Check each item: readability / accessibility (aria) / performance (repeated renders) / security (XSS)
2. For each issue, give: file + line, the problem, and suggested fix code
3. Sort output by severity
4. If no issues, clearly say "no issues found"
6️⃣ Image prompt generation Skill
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name: image-prompt-writer
description: Turn a scene description into a high-quality English AI image-generation prompt. Use when the user says "write an image prompt for me".
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# Image generation prompt
1. Output in English, structured: subject + environment + lighting + composition + style + quality tags
2. End with fixed quality tags: high quality, 4k
3. Automatically pick an appropriate style descriptor based on the scene (realistic / illustration / 3D / poster)
4. After the prompt, add a 2-line explanation
7️⃣ Study notes organizer Skill
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name: study-notes
description: Organize scattered study materials into structured notes and memory cards. Use when the user pastes materials or says "organize my study notes".
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# Study notes
1. Extract core concepts, opening each with a "one-sentence definition"
2. Organize hierarchically by topic, adding examples
3. Generate 5 Q/A memory flashcards
4. Output Markdown suitable for importing into a notes app
8️⃣ Data analysis interpreter Skill
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name: data-interpreter
description: Interpret a dataset (table/numbers) and give insights and recommendations. Use when the user pastes data or says "analyze this data".
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# Data interpretation
1. Summarize the overall picture first, then list notable trends/outliers
2. Distinguish "data facts" from "inferences"; label any inferences
3. Give 3 or more actionable next-step suggestions
4. Output comparisons in table form
9️⃣ Short-video script Skill
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name: short-video-script
description: Turn a topic into a 30–60 second spoken short-video script. Use when the user says "write a short-video script" or "turn this copy into a video script".
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# Short-video script
1. Structure: 3-second hook + 15-second core + closing call-to-action
2. Make it spoken: short sentences, casual tone, pause markers
3. Give a visual cue every 10 seconds (shot / subtitle)
4. Keep the runtime under 45 seconds, around 300 words
🔟 Travel planning Skill
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name: travel-planner
description: Output a travel itinerary based on duration/budget/preferences. Use when the user says "help me plan a trip" or "make a travel guide".
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# Travel planning
1. First confirm the inputs: number of days, budget, origin and destination, preferences (food / nature / culture)
2. Schedule each day morning/noon/evening: attractions + transport + dining
3. Mark the expected stay time at each attraction
4. Include: a budget estimate table + 3 practical tips (like booking/weather)
The templating mindset: turning "high-frequency repeated workflows" into a Skill is a more advanced use than bookmarking prompts — install once, and AI follows your standard every time afterward.