Token导航 LogoToken导航TokenDH.com
前端设计只读github未标认证来源可访问许可证需确认审计异常

character-card-v3-generator角色卡 v3 生成器

Agent Skill

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。

总安装

569

周安装

23

GitHub Stars

3

下载量

178
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills