novel-indexing-and-searching — novel-indexing-and-searching install novel-indexing-and-searching, community, novel-indexing-and-searching install, ide skills, novel-indexing-and-searching for AI agents, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Development Agents needing efficient file retrieval and indexing capabilities in large projects. novel-indexing-and-searching is a skill that enables efficient file search and retrieval through indexing and caching, using stable IDs and table structures.

Features

Generates indexes using Python scripts in the `.codex/skills/novel-indexing-and-searching/scripts` directory
Utilizes stable IDs for entities, such as `char-中文名` and `loc-中文名`, for reliable referencing
Supports table structures in `open-threads.md` and `timeline.md` for easy parsing
Creates derived caches in the `WORKDIR/_data` directory for fast access
Allows for rebuilding indexes at any time, prohibiting manual modifications

# Core Topics

chen893 chen893
[0]
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Updated: 3/1/2026

Agent Capability Analysis

The novel-indexing-and-searching skill by chen893 is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for novel-indexing-and-searching install, novel-indexing-and-searching for AI agents.

Ideal Agent Persona

Perfect for Development Agents needing efficient file retrieval and indexing capabilities in large projects.

Core Value

Empowers agents to precisely locate and retrieve files using stable IDs and indexed caches, leveraging Python scripts for seamless integration with project workflows, particularly in managing entities and events through `char-`, `loc-`, `fac-`, `item-`, and `sys-` prefixed IDs.

Capabilities Granted for novel-indexing-and-searching

Indexing and searching large project files using stable IDs
Automating the generation and update of indexed caches for efficient file retrieval
Streamlining development workflows by quickly locating specific lines within files

! Prerequisites & Limits

  • Requires Python environment for script execution
  • Dependent on specific directory structure and file naming conventions
  • Manual editing of indexed caches is prohibited
Labs Demo

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novel-indexing-and-searching

Install novel-indexing-and-searching, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command...

SKILL.md
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索引与检索(novel-indexing-and-searching)

目标

  • 先检索、再打开文件:把“回读整书”变成“精准定位到行”。
  • 索引是派生缓存:写到 WORKDIR/_data/**,可随时重建,禁止手改(WORKDIR 为工作区目录名,默认 novel)。

核心约定(让索引靠谱)

  • 关键实体使用稳定 ID(禁止用拼音做 ID):
    • 实体:char-中文名/loc-中文名/fac-中文名/item-中文名/sys-中文名
    • 线索/事件:thr-####/evt-####
    • bible 文件名通常为:char-林瑶.md/loc-旧镇.md/fac-青竹会.md
  • open-threads.mdtimeline.md 尽量保持表格结构(便于解析)

最短路径工作流

1) 生成/更新索引

在项目根目录执行:

bash
1python .codex/skills/novel-indexing-and-searching/scripts/build_index.py --root .

输出写入:

  • WORKDIR/_data/entities.json
  • WORKDIR/_data/chapter_index.json
  • WORKDIR/_data/threads.json
  • WORKDIR/_data/timeline.json

2) 执行检索

在项目根目录执行:

bash
1python .codex/skills/novel-indexing-and-searching/scripts/search.py --root . --query "thr-0007"

常用技巧:

  • 优先搜 ID(最稳定),其次搜专名(次稳定),最后才搜泛关键词
  • 先在 summaries/continuity/ 搜,再回到 draft/ 精准回读正文
  • 若工作区目录名不是 novel:两条命令都加 --novel-dir WORKDIR

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is novel-indexing-and-searching?

Perfect for Development Agents needing efficient file retrieval and indexing capabilities in large projects. novel-indexing-and-searching is a skill that enables efficient file search and retrieval through indexing and caching, using stable IDs and table structures.

How do I install novel-indexing-and-searching?

Run the command: npx killer-skills add chen893/--skill/novel-indexing-and-searching. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for novel-indexing-and-searching?

Key use cases include: Indexing and searching large project files using stable IDs, Automating the generation and update of indexed caches for efficient file retrieval, Streamlining development workflows by quickly locating specific lines within files.

Which IDEs are compatible with novel-indexing-and-searching?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for novel-indexing-and-searching?

Requires Python environment for script execution. Dependent on specific directory structure and file naming conventions. Manual editing of indexed caches is prohibited.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add chen893/--skill/novel-indexing-and-searching. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use novel-indexing-and-searching immediately in the current project.

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