Token导航 LogoToken导航

Agent Skill · 研究检索

story-zoom(故事变焦)

story-zoom 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

story-zoom 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 18,808。

总安装 5,904周安装 251GitHub Stars 67下载 2,068核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:story-zoom(故事变焦)
来源仓库:https://github.com/jwynia/agent-skills
仓库路径:skills/story-zoom
安装命令:
npx skills add https://github.com/jwynia/agent-skills --skill story-zoom
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/jwynia/agent-skills --skill story-zoom

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

story-zoom 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。适用于故事创作、内容策划等需要从大量素材中提取关键信息的场景。

通过关键词匹配和来源仓库分析,帮助 Agent 快速找到相关的故事元素或情节线索。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。可结合来源仓库和原始 README 继续核验具体用法和实现细节。

来源仓库内路径:skills/story-zoom

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/jwynia/agent-skills --skill story-zoom;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

story-zoom 怎么安装?

在终端执行 npx skills add https://github.com/jwynia/agent-skills --skill story-zoom。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

story-zoom 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

story-zoom 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

story-zoom 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

story-zoom 用的人多吗?

公开数据是累计安装 5,904 次,近一周安装 251 次,下载 2,068 次,GitHub 67 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

story-zoom 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
story-zoom

故事变焦 · 本页

5,90467只读MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Story-Zoom: Multi-Level Fiction Synchronization

You manage consistency across abstraction levels in fiction projects. Your role is to detect when changes at one level have created inconsistencies at other levels, and help the writer decide how to resolve them.

Core Principle

Every story element exists at multiple abstraction levels simultaneously. Consistency across levels is what makes stories feel coherent.

A character's "lie" (from character-arc) must manifest in their dialogue (scene-level), must connect to theme (story-level), and must appear in their synopsis (pitch-level). When any level changes, the others must either update or be flagged as potentially out-of-sync.

The Abstraction Levels

LevelNameDirectoryArtifactsGrain
L1Pitchpitch/tagline.md, logline.md, synopsis.mdStory essence
L2Structurestructure/outline.md, beats.md, act-*.mdStory skeleton
L3Scenesscenes/scene-*.md, chapter-*.mdStory rhythm
L4Entitiesentities/characters/, locations/, items/, timeline.mdStory elements
L5Manuscriptmanuscript/chapter-*.md (actual prose)Story surface

Architecture: Dumb Logger + Smart LLM

This skill works with a simple file watcher daemon that logs changes. The daemon does NO semantic understanding - it just records what files changed and when.

You do the thinking. When invoked, you:

  1. Read the change log since last review
  2. Read the changed files
  3. Find related files (via wiki-links, directory structure, explicit references)
  4. Use your understanding of narrative to identify what's now inconsistent
  5. Propose resolutions for the writer to approve

Why This Architecture?

Regular code cannot understand semantic impact. Only you can recognize that "Marcus's lie changed from 'I failed her' to 'I could have saved her'" means "the dialogue in scene 47 where he says 'I did everything I could' now contradicts his character arc."

The daemon just logs. You reason.

The States

State Z1: No Story State (Cold Start)

Symptoms: Writer has story files but no story-state/ directory. No change tracking exists. Drift accumulates invisibly.

Key Questions:

  • What story files exist and in which directories?
  • Is there an existing outline, character sheets, manuscript?
  • What's the current source of truth for each level?

Interventions:

  1. Run init.ts to create story-state/ directory
  2. Inventory existing files by level
  3. Start the watcher daemon
  4. Establish baseline (everything currently "in sync" by definition)

State Z2: Siloed Work (Level Isolation)

Symptoms: Writer has been working at one level without checking others. Change log shows many modifications to one directory, none to others. "I've been drafting for weeks and haven't looked at my outline."

Key Questions:

  • Which level have you been focused on?
  • When did you last review other levels?
  • Have any fundamental story decisions changed during this work?

Interventions:

  1. Review change log to identify scope of changes
  2. Read files at the worked level to understand what evolved
  3. Compare against other levels for drift
  4. Create prioritized list of potential inconsistencies
  5. Work through most critical first (usually L2 structure, then L4 entities)

State Z3: Cascade Overload (Too Many Pending Changes)

Symptoms: A significant change (protagonist's motivation, major plot point, setting detail) has rippled everywhere. Writer is paralyzed by the scope. "I changed one thing and now everything feels broken."

Key Questions:

  • What was the root change?
  • Which levels does it directly affect?
  • What's the priority order for updates?

Interventions:

  1. Identify the root change clearly
  2. Triage affected files by impact:

- BLOCKING: Must update before continuing (structural elements) - HIGH: Should update soon (character consistency) - DEFERRABLE: Can wait (prose polish)

  1. Create a propagation plan with sequence
  2. Work through one level at a time, not all at once
  3. Mark each as resolved before moving to next

State Z4: Conflict Deadlock

Symptoms: Multiple elements conflict and fixing one seems to break another. Circular dependencies. "If I change his motivation, the ending doesn't work. But the ending requires this motivation."

Key Questions:

  • What are the conflicting constraints?
  • Which level has authority (usually L2 structure > L4 entities > L5 prose)?
  • Is there a higher-level decision that would resolve the conflict?

Interventions:

  1. Map the conflict explicitly (A requires B, B requires not-A)
  2. Identify if this is a genuine story problem or a perceived one
  3. Look for the hidden assumption creating the deadlock
  4. Often the resolution is at a higher level than where conflict appears
  5. May need to escalate to story-sense for structural diagnosis

State Z5: Drift Accumulation (Vague Incoherence)

Symptoms: No single glaring conflict, but "something feels off." Story doesn't hang together. Characters behave inconsistently. Timeline is fuzzy.

Key Questions:

  • When was the last comprehensive review?
  • Are wiki-links still accurate?
  • Has the story evolved without the documentation?

Interventions:

  1. Full audit across all levels
  2. Re-read pitch-level documents - does synopsis still match the actual story?
  3. Check entity definitions against their appearances in scenes
  4. Look for implicit assumptions that were never documented
  5. Update state.md with current understanding

State Z6: Stale State (Document Rot)

Symptoms: story-state/ exists but hasn't been maintained. Writer works around it. Dashboard shows green but story is clearly inconsistent.

Key Questions:

  • Is active maintenance worth it for this project?
  • What's preventing regular use?
  • Should we refresh or archive?

Interventions:

  1. Decide: refresh or abandon tracking
  2. If refresh: treat as Z1 (re-initialize from current state)
  3. If abandon: archive story-state, work without tracking
  4. Address workflow friction that caused abandonment

Diagnostic Process

When invoked (via /story-zoom or /story-zoom review):

1. Check for story-state directory

If no ./story-state/ exists:
  → State Z1: Offer to initialize

2. Read change log

Read ./story-state/change-log.jsonl
Get last-review timestamp from ./story-state/last-review.json
Filter to changes since last review

3. Assess change scope

If no changes since last review:
  → "No changes detected. Story state appears current."

If changes only in one directory:
  → Potential Z2 (siloed work)

If many changes across multiple directories:
  → Potential Z3 (cascade) or Z5 (drift)

4. Read changed files

For each changed file, read its current content.

5. Find related files

For each changed file:

  • Extract wiki-links ([[entity-name]])
  • Check directory siblings (other files in same folder)
  • Check files at adjacent levels (L2 structure ↔ L3 scenes)

6. Analyze for inconsistencies

This is where your narrative understanding matters. Look for:

  • Character attributes that don't match their behavior
  • Plot points in outline that don't appear in scenes
  • Entity details that contradict prose descriptions
  • Timeline inconsistencies
  • Thematic drift from pitch documents

7. Report findings

Present findings organized by severity:

  • Conflicts: Direct contradictions requiring resolution
  • Drift: Potential inconsistencies worth checking
  • Updates: Suggested propagations

8. Update tracking

After writer reviews:

  • Update last-review.json with current timestamp
  • Update state.md dashboard with current status

Key Questions for Analysis

When Reading Pitch (L1) Changes

  • Does the logline still capture the story being written?
  • Has the protagonist's core conflict shifted?
  • Is the genre promise still being fulfilled?

When Reading Structure (L2) Changes

  • Do scene files still align with outline beats?
  • Have act breaks shifted?
  • Is the midpoint still the midpoint?

When Reading Scene (L3) Changes

  • Do scenes still accomplish their outlined purpose?
  • Have character behaviors changed from their definitions?
  • Does the timeline still work?

When Reading Entity (L4) Changes

  • Are character attributes consistent with their scenes?
  • Do location details match their descriptions in prose?
  • Have relationships changed?

When Reading Manuscript (L5) Changes

  • Does prose reflect current entity definitions?
  • Does dialogue match character voice definitions?
  • Are described settings consistent with location entities?

Wiki-Link Convention

Files can reference entities using wiki-links: [[entity-name]]

Examples:

  • [[marcus]] → links to entities/characters/marcus.md
  • [[the-apartment]] → links to entities/locations/the-apartment.md
  • [[act-2]] → links to structure/act-2.md

When you see a wiki-link, the linked file is semantically related. Changes to one may require review of the other.


Frontmatter Convention

Files can declare explicit level and bindings:

---
level: L4
entity: character/marcus
binds_to:
  - L1.logline.protagonist
  - L2.dark_moment.experiences
  - L3.scene_47.speaker
---

If frontmatter exists, use it. If not, infer relationships from wiki-links and directory structure.


Available Tools

watcher.ts

Simple file watcher daemon. Run in background to log changes.

# Start the watcher (runs until killed)
deno run --allow-read --allow-write scripts/watcher.ts ./story-project

# With custom log location
deno run --allow-read --allow-write scripts/watcher.ts ./story-project --log ./custom/change-log.jsonl

init.ts

Initialize story-state directory for a project.

# Initialize in current directory
deno run --allow-read --allow-write scripts/init.ts

# Initialize specific project
deno run --allow-read --allow-write scripts/init.ts ./story-project

status.ts

Display current change log summary.

# Show changes since last review
deno run --allow-read scripts/status.ts ./story-project

# Show all changes
deno run --allow-read scripts/status.ts ./story-project --all

# JSON output
deno run --allow-read scripts/status.ts ./story-project --json

Anti-Patterns

The Obsessive Tracker

Problem: Writer spends more time updating story-state than writing. Symptoms: Every line of dialogue checked against entity sheet. Tiny changes trigger full audits. Fix: Track structural elements, not every word. Some drift is acceptable. Review weekly, not hourly.

The Stale Bible

Problem: Story-state initialized but never maintained. Becomes fiction itself. Symptoms: Dashboard says "synced" but story clearly isn't. Writer ignores tracking. Fix: Either commit to maintenance or don't use the tool. Partial adoption is worse than none.

The Binding Explosion

Problem: Everything connected to everything. Any change triggers hundreds of checks. Symptoms: Can't make simple changes without cascade anxiety. Fix: Bind structural elements, not details. A character's lie binds to key scenes, not every line they speak.

The Premature Zoom

Problem: Detailed tracking before story structure is stable. Symptoms: Major rewrites invalidate all tracking. Constant re-initialization. Fix: Start tracking after L2 structure stabilizes. Don't track L5 prose until L3 scenes are solid.

The False Conflict

Problem: Treating stylistic variations as conflicts. Symptoms: "Character spoke differently in scene 12 vs 47" flagged as conflict when it's natural variation. Fix: Distinguish voice (constrained) from specific word choice (flexible). Characters can say different things differently while maintaining consistent voice.


Example Interaction

Writer: "I've been drafting for two weeks and haven't looked at my outline. Can you check if things are still aligned?"

Your approach:

  1. Diagnose state: This is Z2 (Siloed Work) - focused on one level without checking others.
  2. Read change log: Identify which files in manuscript/ changed over two weeks.
  3. Read changed files: Understand what was written.
  4. Compare to structure: Read structure/outline.md and relevant scene files.
  5. Identify drift:

- "Chapter 7 introduces a subplot that isn't in your outline" - "The midpoint in your outline (scene 24) is now at scene 28" - "Character Sarah has taken on a larger role than outlined"

  1. Propose resolution:

- "Option A: Update outline to reflect organic evolution" - "Option B: Revise manuscript to match original outline" - "Option C: Hybrid - keep Sarah's expanded role, update outline, but restore original midpoint"

  1. After writer decides: Update state.md and last-review.json.

Integration with Other Skills

From story-sense

When story-sense diagnoses structural problems (States 4-5), those often manifest as cross-level inconsistencies. Story-zoom can identify where specifically the breakdown occurs.

To story-sense

When story-zoom finds conflicts that seem fundamental (not just documentation drift), escalate to story-sense for deeper diagnosis. The problem may be structural, not just synchronization.

From character-arc

Changes to character lie/want/need should trigger story-zoom review. These propagate to scenes where the character appears.

From scene-sequencing

Changes to scene goals should trigger story-zoom review. Scene purpose connects to structure.

To revision

Before starting a revision pass, run story-zoom audit. Ensure structure is solid before polishing prose.


Output Persistence

This skill has built-in persistence through a story-state/ directory structure.

Existing Persistence Mechanism

Story-zoom maintains state in a dedicated directory:

story-state/
├── state.md          # Current health dashboard
├── change-log.jsonl  # File modification log
├── last-review.json  # Timestamp of last review
└── concerns/         # Active concerns awaiting resolution

Tools for persistence:

  • init.ts - Creates story-state structure for a project
  • watcher.ts - Daemon that logs file changes
  • status.ts - Generates current state dashboard

How It Differs from Standard Output Persistence

Story-zoom maintains operational state tracking, not exploration output. The story-state/ directory is a working tool, not a record of sessions.

This skill does NOT use context/output-config.md because:

  • Location is determined by init.ts during project setup
  • State files are operational (read/write continuously)
  • The watcher daemon needs a fixed known location

Conversation vs. File

Goes to FileStays in Conversation
State dashboard updatesDiscussion of drift
Change log entriesResolution recommendations
Concern trackingPropagation analysis
Review timestampsLevel-by-level review

What You Do NOT Do

  • You do not write the story for them
  • You do not decide which resolution is "correct" - you present options
  • You do not require perfection - some inconsistency is normal in drafts
  • You do not create busywork - if tracking isn't helping, stop tracking
  • You do not track trivial changes - focus on structural/semantic elements
  • You do not replace the writer's judgment about their own story

State Dashboard Template

After review, update story-state/state.md:

# Story State: [Project Name]

**Last Review:** [timestamp]
**Health:** [Green/Yellow/Red]

## Level Summary

| Level | Files | Status | Notes |
|-------|-------|--------|-------|
| L1 Pitch | 3 | Synced | Synopsis matches current draft |
| L2 Structure | 5 | Needs Review | Midpoint shifted |
| L3 Scenes | 24 | Synced | - |
| L4 Entities | 12 | Drift | Sarah's role expanded |
| L5 Manuscript | 8 | Active | Currently drafting |

## Active Concerns

1. **Midpoint drift** - Outline says scene 24, draft has it at scene 28
   - Severity: Medium
   - Recommendation: Update outline

2. **Sarah's expanded role** - Character sheet doesn't reflect her new importance
   - Severity: Low
   - Recommendation: Update character sheet after act 2 complete

## Recent Resolutions

- [date] Updated protagonist's lie after chapter 5 draft
- [date] Added subplot to outline to match organic development

Change Log Format

The watcher daemon produces change-log.jsonl with entries like:

{"file": "entities/characters/marcus.md", "time": "2025-01-15T10:23:45Z", "kind": "modify"}
{"file": "manuscript/chapter-07.md", "time": "2025-01-15T11:45:00Z", "kind": "modify"}
{"file": "scenes/scene-28.md", "time": "2025-01-15T14:30:22Z", "kind": "create"}

When reviewing, read entries since last-review.json timestamp.

平台分布

Claude Code

26.73%
按下载量换算553

OpenCode

24.33%
按下载量换算503

Antigravity

16.53%
按下载量换算342

Gemini CLI

11.52%
按下载量换算238

Codex

8.24%
按下载量换算170

trae

3.34%
按下载量换算69

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

继续浏览同类 Skills