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Agent Skill · 前端设计

character-card-v3-generator(角色卡 v3 生成器)

character-card-v3-generator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

character-card-v3-generator 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描有未通过项,按安装量在前端设计类的 10,216 个 Skill 里排第 5,987。

总安装 569周安装 23GitHub Stars 3下载 178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
unknown

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:character-card-v3-generator(角色卡 v3 生成器)
来源仓库:https://github.com/davidgibbons/sillytavern-skills
仓库路径:skills/character-card-v3-generator
安装命令:
npx skills add https://github.com/davidgibbons/sillytavern-skills --skill character-card-v3-generator
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/davidgibbons/sillytavern-skills --skill character-card-v3-generator

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

character-card-v3-generator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中围绕项目状态进行整理。适用于需要分析代码变更、跟踪协作事项或管理开发进度的场景。

使用时可结合来源仓库和安装命令进一步核验功能细节,建议先查看原始 README。安装前请确认权限范围和维护状态,注意是否涉及文件读写或外部 API 调用。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/character-card-v3-generator

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/davidgibbons/sillytavern-skills --skill charac…;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

character-card-v3-generator 怎么安装?

在终端执行 npx skills add https://github.com/davidgibbons/sillytavern-skills --skill character-card-v…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

character-card-v3-generator 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。

character-card-v3-generator 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。

character-card-v3-generator 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

character-card-v3-generator 用的人多吗?

公开数据是累计安装 569 次,近一周安装 23 次,下载 178 次,GitHub 3 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。

character-card-v3-generator 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
character-card-v3-generator

角色卡 v3 生成器 · 本页

5693只读未明确未通过

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

Character Card V3 Generator

Overview

Generate Character Card V3 JSON outputs that are spec-compliant and high quality for roleplay. Build cards and lorebooks with clear behavior anchors, practical activation logic, and predictable in-chat performance.

Workflow

  1. Clarify the brief.
  • Capture genre, tone, hard boundaries, relationship to {{user}}, chat style (short/long), and desired behavior constraints.
  • Ask whether output should be minimal, standard, or advanced template.
  • If the user does not choose, default to standard.
  1. Build the CCv3 skeleton.
  • For new cards, start from assets/templates/ and fill mandatory fields first.
  • For conversions/upgrades, load the existing card first and do a minimal-diff transform to CCv3 (preserve existing intent/content unless it conflicts with CCv3 structure).
  • Apply normalization patterns from references/popular-card-patterns.md (field rebalance, trigger cleanup, and lore entry splitting) when card structure is uneven.
  • Keep schema-critical fields valid before adding style details.
  • Use references/spec-v3-field-map.md for required field behavior.
  1. Write high-signal character content.
  • Apply references/character-writing-guidelines.md.
  • Prioritize stable identity, behavioral constraints, and concrete examples over verbose prose.
  • Design system_prompt and post_history_instructions as primary control surfaces using references/spec-v3-field-map.md.
  • Keep persistent contract rules in system_prompt; keep final-turn steering/enforcement in post_history_instructions.
  1. Design lorebook strategy.
  • Use references/lorebook-guidelines.md to choose entry keys, activation depth, token budget, and insertion ordering.
  • Keep one concept per entry and prefer iterative additions from observed failures.
  1. Add card-scoped regex scripts when needed (SillyTavern-specific).
  • Use references/regex-scoped-scripts.md for data.extensions.regex_scripts structure and examples.
  • Use only for deterministic text transforms that should be tied to this character card.
  • Keep regex scripts minimal and test them on sample dialogue before shipping.
  1. Validate output.
  • Run scripts/validate_card.py <path-to-card.json> for structural checks.
  • Manually spot-check lore triggers against likely user phrasing.
  • Run a quality pass with references/reviewing-cards.md.
  1. Return deliverables.
  • Return final CCv3 JSON.
  • Include a short note with major design choices and tradeoffs as a separate section outside the JSON block.

Output Rules

  • Always output valid JSON, never pseudo-JSON.
  • When also providing commentary, keep it outside the JSON artifact (for example: JSON in one fenced block, rationale in a separate prose section).
  • Keep spec as "chara_card_v3" and spec_version as "3.0" unless explicitly requested otherwise.
  • Use extensions for non-standard app data; avoid adding random top-level fields.
  • Keep lorebook entries concise and actionable.
  • Distinguish strict spec constraints from model-behavior heuristics.
  • When using hidden-state patterns (such as XML comments), include leak-risk caveats and recommend chat-level testing.

Resources

  • references/spec-v3-field-map.md

- Required/optional CCv3 fields and key constraints.

  • references/image-and-asset-formats.md

- PNG/APNG/JSON/CHARX handling and practical image asset compatibility rules.

  • references/character-writing-guidelines.md

- Practical character-writing quality rubric.

  • references/lorebook-guidelines.md

- Lorebook entry design, trigger quality, and token strategy.

  • references/multi-character-and-scenarios.md

- Patterns for ensemble casts, occasional NPCs, and structured world-event logic.

  • references/popular-card-patterns.md

- Generalized quality patterns and normalization strategies derived from high-usage cards.

  • references/source-notes.md

- One-time harvested heuristics from linked community discussions.

  • references/reviewing-cards.md

- Quality-review checklist and scoring rubric for release readiness.

  • references/regex-scoped-scripts.md

- SillyTavern card-scoped regex schema, examples, and safety practices.

  • references/format-options.md

- Comparison of Prose, Attributes, AliChat, JED/JED+, Plaintext, and W++ with use-case guidance.

  • examples/format-comparison.md

- Same character concept shown in each major format for quick side-by-side learning.

  • examples/command-orchestration-pattern.md

- Generic template for command-triggered lorebook actions with weighted outcomes and ephemeral cleanup.

  • examples/secret-reveal-pattern.md

- Public/secret split with delayed reveals, belief-vs-fact layering, and cadence control.

  • assets/templates/minimal-card-v3.json

- Lean starter for quick generation.

  • assets/templates/standard-card-v3.json

- Balanced starter with lorebook included.

  • assets/templates/advanced-card-v3.json

- Extended starter using multilingual notes and assets.

  • scripts/validate_card.py

- Lightweight structure validator for card JSON.

Notes

  • Community tactics can vary by frontend and model family. Apply heuristics, then adapt after test chats.
  • Some linked Reddit threads may be inaccessible from restricted environments; if inaccessible, keep guidance conservative and prefer spec-backed behavior.

平台分布

Codex

35.74%
按下载量换算64

Claude

32.18%
按下载量换算57

Cursor

17.33%
按下载量换算31

Gemini CLI

9.67%
按下载量换算17

安全审计

Gen Agent Trust Hub

未通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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