zenstory-ai/oh-story-claudecode

Claude Code / Codex / OpenCode agent skills for writing Chinese web novels (网文): 扫榜、拆文、写作、去AI味、封面全流程,长篇短篇都支持 | 13 skills for novel writing and long-form...

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zenstory-ai/oh-story-claudecode has 7.5k+ stars and 1k+ forks on GitHub, is written in Python, and was last pushed on Oct 16, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 18 minutes ago
Added to GitGenius on September 9th, 2026
Created on April 22nd, 2026
Open Issues & Pull Requests: 12 (-1)
GitHub issues: Enabled
Number of forks: 1,096
Total Stargazers: 7,645 (+8)
Total Subscribers: 28 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 15.7 hours
Mean response time: 43.0 hours
90th percentile: 3.0 days
Tracked items: 150

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits.

How this project is maintained

Practically every issue opened in the past year has drawn a reply. 96% of issues opened in the past year have since been closed. Three people close 95% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 6
New in 7 days: 2
Closed in 7 days: 1
Avg open age: 43 days
Stale 30+ days: 3
Stale 90+ days: 0

Recent activity

Opened in 7 days: 2
Closed in 7 days: 1
Comments in 7 days: 1
Events in 7 days: 3

Top labels

  • bug (42)
  • enhancement (40)
  • good first issue (5)
  • needs-triage (4)
  • output-case (1)

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Detailed Description

Oh-story-claudecode is a skill pack for web fiction writing that covers the complete workflow of long-form and short-form novel creation, from market analysis through final delivery.

The tool addresses the challenge of writing commercially viable web fiction by codifying professional author methodology into three core steps: analyzing trending works to understand genre patterns and character archetypes, deconstructing successful narratives to extract reusable plot modules and pacing structures, and applying proven techniques like hooks and tension management. The approach treats narrative patterns as deterministic emotional satisfaction, organizing the writing process around four dimensions: reverse-engineering bestsellers, modularizing plot components for recombination, managing narrative state across context layers, and human-AI collaboration.

The skill pack suits writers working within the web fiction ecosystem who want systematic guidance on commercial appeal and structural consistency. It distinguishes between long-form and short-form workflows, with the short-form variant emphasizing scene-level decision points rather than mechanical quotas for dialogue proportion or hook spacing. The tool integrates with multiple AI platforms including Claude Code, Google Antigravity, OpenCode, ZCode, OpenClaw, Codex CLI, and Reasonix, and can be deployed to any web-based AI environment that reads project files. Installation happens through direct instruction to supported platforms or command-line setup.

The project maintains active refinement of its writing methodology. Recent updates removed mechanical constraints from short-form scene construction in favor of outcome-based evaluation, introduced cross-session author memory to maintain consistency across conversations, added reference material gatekeeping to prevent contamination during composition phases, and unified stylistic priority handling while fixing reference consumption issues. The tool requires redeployment and new conversation sessions after updates to reflect methodology changes, with version tracking maintained through an agents_version parameter.