Agent skill

Long-Form Fiction Market Research

by Narcooo in Narcooo/inkos

Researches the long-form fiction market with sourced evidence: platform differences, comparable works and audience expectations, to inform topic choices for a novel.

AGPL-3.0Auto-check passedMarketing & SEO

Install Long-Form Fiction Market Research

skills CLI
$ npx skills add Narcooo/inkos --skill inkos-long-market-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Narcooo/inkos inkos-long-market-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Narcooo/inkos.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/core/skills/inkos-long-market-research .claude/skills/inkos-long-market-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
inkos-long-market-research
GitHub stars
10k
Token cost
~289 tokens
SKILL.md length
131 words
Files
2 (incl. references)
Skills in repo
21
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Researches the long-form fiction market with sourced evidence: platform differences, comparable works and audience expectations, to inform topic choices for a novel.

  • Comparing platforms and audiences before committing to a long-form fiction project
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Finding comparable titles to benchmark a planned novel against
  • Choosing between candidate story topics using current market evidence

What it does

Market research for long-form fiction projects such as web novels. When you ask about current platform trends, comparable titles, audience expectations or which topic to pick, the agent gathers evidence with the InkOS tools `research_web`, `ingest_material` and `retrieve_material`, and keeps observed facts, interpretation and creative advice in separate parts of the answer.

The skill warns against turning a ranking or a single hit book into a writing formula and asks for the underlying mechanisms and an honest statement of uncertainty instead. Research never changes a book's canon: a source only becomes available while chapters are written if you archive it and bind it to the active book with `manage_book_reference`. A longer evidence and deliverable rubric sits in `references/research-rubric.md` and is loaded only when needed. Answers come back in your language.

When your agent uses it

  • Comparing platforms and audiences before committing to a long-form fiction project
  • Finding comparable titles to benchmark a planned novel against
  • Choosing between candidate story topics using current market evidence
  • Archiving a market report or URL you supply as research evidence

Example prompts

  • “What premises are doing well on the main Chinese web novel platforms right now, and what makes them work?”
  • “Compare what readers expect from a slow-burn fantasy series on two different platforms.”
  • “Here is an industry report on web fiction readers. Archive it and summarize what it says about audience age and genre mix.”

Requirements

  • InkOS research tools such as `research_web`, `ingest_material` and `retrieve_material`

What it can do on your machine

Read from SKILL.md and the folder at commit 8fc2ae5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Long-Form Fiction Market Research loads about 289 tokens when it runs, and up to ~482 if it reads all its reference files. Until then it costs about 33 tokens; SKILL.md has 131 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~289
With references · SKILL.md plus every file in references/, read only if the agent opens them
~482

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Narcooo/inkos at commit 8fc2ae5, republished under its AGPL-3.0 licence (© Narcooo). 131 words, ~289 tokens.

Download SKILL.mdSave it as .claude/skills/inkos-long-market-research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
inkos-long-market-research
description
长篇网文市场、榜单、平台趋势与对标研究。Use for evidence-based long-form fiction market research, not for ordinary drafting.

Long-form market research

Use this skill when the user wants current market evidence, platform differences, comparable works, audience expectations, or topic selection for a long-form project.

  • Clarify the market, platform, audience, language, and time window only when they materially affect the answer.
  • Use research_web for current claims. Separate observed evidence, interpretation, and creative recommendation.
  • Use ingest_material for user-provided reports or URLs and retrieve_material for already archived evidence.
  • Do not treat rankings, popularity, or one successful book as a writing formula. Extract mechanisms and uncertainty.
  • Research never mutates book canon. If the user later wants a source available during chapter writing, archive it and explicitly bind it with manage_book_reference in the active book.
  • Respond in the user's language.

For a detailed evidence and deliverable rubric, load references/research-rubric.md with use_skill only when needed.

© Narcooo, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in packages/core/skills/inkos-long-market-research of Narcooo/inkos.

  • SKILL.md
  • references/research-rubric.md

Open the folder on GitHubat commit 8fc2ae5

Compare with similar skills

Long-Form Fiction Market Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Long-Form Fiction Market Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Long-Form Fiction Market Research this skillNarcooo/inkos10k—~289Automated safety check: PassAGPL-3.0
Short Web Fiction Trend Scanzenstory-ai/oh-story-claudecode7.4k2 repos~1.2kAutomated safety check: PassMIT
Consulting Analysisbytedance/deer-flow84k4 repos~8.4kAutomated safety check: PassMIT
Investment AnalysisHainrixz/maia-skill149—~4.2kAutomated safety check: PassMIT
Web Novel Ranking Scanneruu201/character-arc583—~2kAutomated safety check: PassMIT
Web Novel Ranking Scannerzenstory-ai/oh-story-claudecode7.4k—~1.3kAutomated safety check: PassMIT

Similar skills

  • Short Web Fiction Trend Scan

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    7.4k GitHub starsUsed in 2 repos~1.2k tokens
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  • Consulting Analysis

    bytedance/deer-flow

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  • InkOS Story Import

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Questions about Long-Form Fiction Market Research

What does Long-Form Fiction Market Research do?

Researches the long-form fiction market with sourced evidence: platform differences, comparable works and audience expectations, to inform topic choices for a novel. Market research for long-form fiction projects such as web novels. When you ask about current platform trends, comparable titles, audience expectations or which topic to pick, the agent gathers evidence with the InkOS tools `research_web`, `ingest_material` and `retrieve_material`, and keeps observed facts, interpretation and creative advice in separate parts of the answer.

When should I use Long-Form Fiction Market Research?

Long-Form Fiction Market Research fits situations like: comparing platforms and audiences before committing to a long-form fiction project; finding comparable titles to benchmark a planned novel against; choosing between candidate story topics using current market evidence; archiving a market report or URL you supply as research evidence.

How do I install Long-Form Fiction Market Research in Claude Code?

Run `npx skills add Narcooo/inkos --skill inkos-long-market-research -a claude-code`. Or copy the skill folder (packages/core/skills/inkos-long-market-research in Narcooo/inkos) into .claude/skills/inkos-long-market-research in your project. Claude Code loads it when a task matches its description.

How do I install Long-Form Fiction Market Research in Codex?

Run `npx skills add Narcooo/inkos --skill inkos-long-market-research -a codex`. Or copy the skill folder (packages/core/skills/inkos-long-market-research in Narcooo/inkos) into .agents/skills/inkos-long-market-research in your project. Codex loads it when a task matches its description.

Can I use Long-Form Fiction Market Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Narcooo/inkos --skill inkos-long-market-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/inkos-long-market-research, .gemini/skills/inkos-long-market-research, .github/skills/inkos-long-market-research and .opencode/skills/inkos-long-market-research in your project.

What does Long-Form Fiction Market Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Long-Form Fiction Market Research is instructions for the agent only. Our summary lists: InkOS research tools such as `research_web`, `ingest_material` and `retrieve_material`.

Does Long-Form Fiction Market Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Long-Form Fiction Market Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Long-Form Fiction Market Research use?

Long-Form Fiction Market Research is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Long-Form Fiction Market Research use?

About 289 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 193 tokens, read only when the agent opens those files.

What are the alternatives to Long-Form Fiction Market Research?

Skills that share tags, products or a category with Long-Form Fiction Market Research: Short Web Fiction Trend Scan (zenstory-ai/oh-story-claudecode, 7.4k stars), Consulting Analysis (bytedance/deer-flow, 84k stars), Investment Analysis (Hainrixz/maia-skill, 149 stars) and Web Novel Ranking Scanner (uu201/character-arc, 583 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Long-Form Fiction Market Research?

Narcooo (a GitHub user) maintains it in Narcooo/inkos, which has 10,226 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 10, 2026.

Source: Narcooo/inkos on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.