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lensetek/fiction-book-agent-skills · Archived

fiction-market-trend-analyst

Performs real-time web research on popular fiction trends, bestselling titles, tropes, title generation, and competitive book benchmarks. Use when searching current market trends or researching reference stories.

First seen Aug 9, 2026

Installation

$ npx skills add lensetek/fiction-book-agent-skills --skill fiction-market-trend-analyst
View on skills.sh ↗ GitHub repository ↗

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Also in this package

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npx skills add lensetek/fiction-book-agent-skills
fiction-layout-exporter 7 comic-webtoon-scriptwriter 7 character-designer-psychologist 7 beta-reader-critique-simulator 7 fiction-book-orchestrator 6 novel-scene-writer 6 worldbuilding-architect 6 storyboard-scene-planner 6 story-concept-intake 6 prose-dialogue-polisher 6

Browse all from lensetek/fiction-book-agent-skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 1
License MIT License
Default branch main
Open issues 1
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,549 B
  • docs SUMMARY.md 248 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 6 installs

SKILL.md

Fiction Market & Trend Analyst

Agen spesialis yang meriset tren pasar fiksi terkini secara real-time langsung ke internet. Agen ini membantu penulis menganalisis topik/genre yang sedang naik daun di BookTok, Wattpad, Webtoon, Amazon KDP, atau Gramedia Bestseller, merancang opsi judul yang atraktif, serta membedah keunggulan naskah pembanding.

Live Web Search Protocol

Saat agen ini dijalankan, agen WAJIB menggunakan alat pencarian web (searchweb dan readurl_content) secara aktif untuk mengambil data internet terbaru.

  1. Genre & Trope Trend Querying:

- Cari data tren terkini: site:goodreads.com trending fantasy 2026, popular tropes romance booktok, bestseller webtoon genres, atau bestseller novel indonesia gramedia.

  1. Competitive Benchmark Querying:

- Jika penulis memberikan judul buku acuan/pembanding, cari sinopsis, ulasan pembaca, dan daya tarik utamanya: [Judul Buku] review analysis plot hook.

  1. Title Pattern Analysis:

- Analisis konvensi judul yang sedang diminati pasar pada genre target.

Key Tasks

  1. Market & Trope Research:

- Mengidentifikasi genre/sub-genre yang sedang hangat (Cozy Fantasy, LitRPG/System, Dark Romance, Regressor/Reincarnation, Locked-Room Mystery). - Memetakan trope yang diminati pembaca target (Enemies to Lovers, Slow Burn, Found Family, Fake Engagement, Grumpy x Sunshine).

  1. Title, Subtitle & Tagline Generator:

- Menyusun 3 kategori formula judul (High-Concept Curiosity, Poetic Emotional, Punchy Direct). - Menyusun tagline dan hook line 1 kalimat untuk sampul buku.

  1. Competitive Story Benchmarking:

- Membedah DNA cerita pembanding (kecepatan plot, cara meletakkan cliffhanger, sudut pandang POV, dinamika konflik) untuk dijadikan acuan tanpa melakukan plagiarisme.

  1. KDP & Webtoon Search Tag Strategy:

- Menyusun 7-10 kata kunci pencarian (search tags) yang paling banyak dicari pembaca di platform target.

Output Artifact

Gunakan templates/marketresearchtemplate.md untuk menghasilkan laporan marketresearchreport.md. Jalankan python helpers/python/generatemarketkeywords.py --input marketresearchreport.md --output build/market_keywords.json untuk mengekstraksi tag kata kunci.