Guizang Social Cards
op7418/guizang-social-card-skill
Produces social card sets for Xiaohongshu and WeChat: carousels, Live Photo motion cards and puzzle layouts, and WeChat cover pairs, rendered from single-file HTML.
爆款剧本检索技能。使用混合搜索(语义+关键词)检索最相关的爆款剧本,为生成提供参考. An agent skill from Supreme-Ultimate/novel-to-script-team.
$ npx skills add Supreme-Ultimate/novel-to-script-team --skill hit-script-retrieval-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Supreme-Ultimate/novel-to-script-team hit-script-retrieval-skill --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Supreme-Ultimate/novel-to-script-team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hit-script-retrieval-skill .claude/skills/hit-script-retrieval-skill && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "hit-script-retrieval-skill" agent skill from https://github.com/Supreme-Ultimate/novel-to-script-team/tree/main/skills/hit-script-retrieval-skill into .claude/skills/hit-script-retrieval-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hit-script-retrieval-skill", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Supreme-Ultimate/novel-to-script-team/tree/main/skills/hit-script-retrieval-skillType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Supreme-Ultimate/novel-to-script-team --skill hit-script-retrieval-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Supreme-Ultimate/novel-to-script-team hit-script-retrieval-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Supreme-Ultimate/novel-to-script-team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/hit-script-retrieval-skill .agents/skills/hit-script-retrieval-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hit-script-retrieval-skill" agent skill from https://github.com/Supreme-Ultimate/novel-to-script-team/tree/main/skills/hit-script-retrieval-skill into .agents/skills/hit-script-retrieval-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hit-script-retrieval-skill", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Supreme-Ultimate/novel-to-script-team --skill hit-script-retrieval-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Supreme-Ultimate/novel-to-script-team hit-script-retrieval-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Supreme-Ultimate/novel-to-script-team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/hit-script-retrieval-skill .cursor/skills/hit-script-retrieval-skill && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "hit-script-retrieval-skill" agent skill from https://github.com/Supreme-Ultimate/novel-to-script-team/tree/main/skills/hit-script-retrieval-skill into .cursor/skills/hit-script-retrieval-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hit-script-retrieval-skill", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Supreme-Ultimate/novel-to-script-team.git --path skills/hit-script-retrieval-skill--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Supreme-Ultimate/novel-to-script-team --skill hit-script-retrieval-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Supreme-Ultimate/novel-to-script-team hit-script-retrieval-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Supreme-Ultimate/novel-to-script-team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/hit-script-retrieval-skill .gemini/skills/hit-script-retrieval-skill && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "hit-script-retrieval-skill" agent skill from https://github.com/Supreme-Ultimate/novel-to-script-team/tree/main/skills/hit-script-retrieval-skill into .gemini/skills/hit-script-retrieval-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hit-script-retrieval-skill", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Supreme-Ultimate/novel-to-script-team hit-script-retrieval-skillInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Supreme-Ultimate/novel-to-script-team --skill hit-script-retrieval-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Supreme-Ultimate/novel-to-script-team.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/hit-script-retrieval-skill .github/skills/hit-script-retrieval-skill && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "hit-script-retrieval-skill" agent skill from https://github.com/Supreme-Ultimate/novel-to-script-team/tree/main/skills/hit-script-retrieval-skill into .github/skills/hit-script-retrieval-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hit-script-retrieval-skill", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Supreme-Ultimate/novel-to-script-team --skill hit-script-retrieval-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Supreme-Ultimate/novel-to-script-team hit-script-retrieval-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Supreme-Ultimate/novel-to-script-team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/hit-script-retrieval-skill .opencode/skills/hit-script-retrieval-skill && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "hit-script-retrieval-skill" agent skill from https://github.com/Supreme-Ultimate/novel-to-script-team/tree/main/skills/hit-script-retrieval-skill into .opencode/skills/hit-script-retrieval-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hit-script-retrieval-skill", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
hit-script-retrieval-skill爆款剧本检索技能。使用混合搜索(语义+关键词)检索最相关的爆款剧本,为生成提供参考. An agent skill from Supreme-Ultimate/novel-to-script-team.
Hit Script Retrieval Skill is an agent skill from Supreme-Ultimate/novel-to-script-team. 爆款剧本检索技能。使用混合搜索(语义+关键词)检索最相关的爆款剧本,为生成提供参考。
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative. The repository describes itself as: 完整的多 Agent 多 Skill 小说改编影视流水线系统。 The licence is MIT.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 117dceb. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Hit Script Retrieval Skill loads about 1.6k tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 190 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Supreme-Ultimate/novel-to-script-team at commit 117dceb, republished under its MIT licence (© Supreme-Ultimate). 190 words, ~1,638 tokens.
.claude/skills/hit-script-retrieval-skill/SKILL.md (or your agent's skills folder).../../references/00-first-principles.md — 第一性原则(可拍性、留存性、一致性)../../references/03-script-writing-standard.md — 剧本写作标准(对话比、视觉标记、网文感)../../references/12-genre-specific-techniques.md — 类型化技巧(男频/女频特征)从117部爆款短剧剧本中检索最相关的剧本,为剧本生成提供参考。
使用混合搜索(Chroma语义搜索 + TF-IDF关键词搜索):
在生成剧本前,根据以下信息检索相关剧本:
示例查询:
"复仇女主霸总豪门打脸"
"穿越古代逆袭当皇后"
"重生复仇虐恋"检索返回Top 5最相关的剧本,包含:
注入到context:
参考以下爆款剧本的风格和节奏:
【参考剧本1】《封总的复仇娇妻》
- 相似度:0.892
- 特点:复仇女主、霸总、豪门恩怨、打脸爽剧
- 节奏:快节奏、高冲突密度、强情绪冲击
- 对话风格:短句、高对话比、视觉标记丰富
【参考剧本2】...从当前剧本需求中提取关键信息:
# 示例:从分集规划中提取
query_parts = []
if "类型" in episode_plan:
query_parts.append(episode_plan["类型"])
if "情绪" in episode_plan:
query_parts.append(episode_plan["情绪"])
if "主要情节" in episode_plan:
query_parts.append(episode_plan["主要情节"])
query = " ".join(query_parts)
# 结果:query = "复仇 愤怒 打脸揭秘"使用混合搜索引擎:
from hybrid_search import HybridSearchEngine
# 初始化(只需一次)
engine = HybridSearchEngine("../../knowledge/hit-scripts-md")
# 检索Top 5
results = engine.hybrid_search(
query=query,
n_results=5,
semantic_weight=0.6,
keyword_weight=0.4
)reference_scripts = []
for result in results:
with open(result['path'], 'r', encoding='utf-8') as f:
content = f.read()
reference_scripts.append({
'filename': result['filename'],
'score': result['score'],
'content': content[:5000] # 取前5000字符
})你是一名短剧编剧,现在需要创作第N集剧本。
【参考爆款剧本】
以下是5个最相关的爆款剧本,请参考它们的:
- 节奏:场景数、冲突密度、时长分布
- 对话:句长、对话比、视觉标记
- 情绪:情绪强度、情感极性摆动
- 框架:开局-发展-高潮-反转-结局
1. 《封总的复仇娇妻》(相似度:0.892)
[内容节选...]
2. 《...》(相似度:0.856)
[内容节选...]
...
【当前任务】
根据以上参考,创作第N集剧本...生成剧本后,使用相同的5个参考剧本进行对比分析:
# 统计生成剧本的节奏指标
generated_metrics = {
'scene_count': 6,
'conflict_density': 0.015,
'avg_scene_duration': 10,
'emotion_intensity': 0.012
}
# 统计参考剧本的平均指标
reference_metrics = {
'scene_count': 8.5,
'conflict_density': 0.035,
'avg_scene_duration': 7.5,
'emotion_intensity': 0.025
}
# 对比分析
if generated_metrics['scene_count'] < reference_metrics['scene_count']:
feedback.append("场景数偏少,建议增加2个过渡场景")# 统计对话指标
generated_style = {
'avg_sentence_length': 18,
'dialogue_ratio': 0.45,
'visual_markers_per_100': 1
}
reference_style = {
'avg_sentence_length': 12,
'dialogue_ratio': 0.72,
'visual_markers_per_100': 4
}
# 对比分析
if generated_style['dialogue_ratio'] < reference_style['dialogue_ratio']:
feedback.append("对话比偏低,建议增加对话,减少叙述")# 分析情绪词汇密度
generated_emotion_density = 0.5 # 每100字0.5个情绪词
reference_emotion_density = 2.0 # 每100字2个情绪词
if generated_emotion_density < reference_emotion_density:
feedback.append("情绪词汇偏少,建议增加情绪化表达")使用 comparative-review-skill 进行综合对比:
输出示例:
【综合审核】FAIL
节奏问题:
- 场景数:生成6场景,参考平均8.5场景 → 建议增加2个过渡场景
- 冲突密度:生成0.015,参考平均0.035 → 建议在第3、5场景增加对抗
对话风格问题:
- 句长:生成18字符,参考平均12字符 → 建议拆分长句
- 对话比:生成45%,参考平均72% → 建议增加对话,减少叙述
参考示例:
请参考《封总的复仇娇妻》第15集的对抗场景结构
请参考《霸总的替身新娘》第8集的对话节奏使用 style-analysis-skill 分析风格:
输出示例:
【风格分析】
句长分布:
- 生成剧本:平均18字符
- 参考剧本:平均12字符
- 建议:拆分长句,增加短句比例
对话比:
- 生成剧本:45%
- 参考剧本:72%
- 建议:增加对话,减少叙述性文字
视觉标记:
- 生成剧本:1个/100字
- 参考剧本:4个/100字
- 建议:增加视觉标记(如:冷笑、嗤笑、冷哼等)knowledge/hit-scripts-md/,请自行放入有权使用的 .md 剧本语料.search_index/../../scripts/improved_hybrid_search.py(推荐)或 ../../scripts/hybrid_search.py(备选)../../knowledge/hit-scripts-md/*.md(本地自备语料,开源版默认不包含)comparative-review-skillstyle-analysis-skillStep 0:判断原小说类型(男频/女频/中性)
根据原小说特征判断(核心判断标准:主角性别):
男频特征:
- 【核心】主角:男性主角为中心,男主视角
- 类型:复仇、逆袭、霸道、战神、龙王、赘婿、神医
- 情节:打脸、装逼、碾压、称霸
- 示例:《赘婿之王》《战神归来》《神医下山》
女频特征:
- 【核心】主角:女性主角为中心,女主视角
- 类型:虐恋、甜宠、豪门、替身、真假千金、重生复仇
- 情节:误会、虐心、和解、宠溺、逆袭
- 示例:《豪门替身妻》《真假千金》《霸总的替身新娘》
中性/不确定:
- 双主角、群像剧、或类型不明显
- 使用 `all` 参数不限类型
判断流程:
1. 首先看主角性别:男主 → 男频,女主 → 女频
2. 其次看类型关键词:复仇/战神/赘婿 → 男频,虐恋/甜宠/替身 → 女频
3. 最后看情节特征:打脸/碾压 → 男频,误会/虐心 → 女频
判断结果:
- 男频 → 使用 `male` 参数
- 女频 → 使用 `female` 参数
- 中性 → 使用 `all` 参数Step 1:构建查询关键词
根据剧本特征选择关键词:
- 核心类型:重生、穿越、复仇、逆袭、虐恋、甜宠
- 场景类型:豪门、古代、现代、职场、校园、宫廷
- 特殊元素:道门、玄幻、霸总、白莲花、打脸(可选)
示例:query = "重生 复仇 豪门"Step 2:执行检索
# 推荐:使用改进版混合搜索(持久化索引 + 男女频分类)
python3 scripts/improved_hybrid_search.py "重生 复仇 豪门" male
# 或指定女频:python3 scripts/improved_hybrid_search.py "重生 复仇 豪门" female
# 或不限类型:python3 scripts/improved_hybrid_search.py "重生 复仇 豪门" all
# 备选:使用快速搜索(如环境不支持)
python3 scripts/quick_search.py "重生 复仇 豪门"Step 3:读取参考剧本
读取检索结果的前5000字作为参考Step 4:注入到 Context
将参考剧本内容注入到生成 prompt 中,参考其:
1. 对话比(约70%)
2. 视觉标记密度(3.5-4.5个/100字)
3. 网文感关键词(1.8-3.0个/100字)
4. 句长控制(10-14字符)
5. 节奏感(起承转合)优先级1:核心类型(必选)
优先级2:场景类型(必选)
优先级3:特殊元素(可选)
示例:
✅ 好的查询:"重生 复仇 豪门"(3个核心关键词)
❌ 不好的查询:"重生复仇道门天师豪门虐待"(太多关键词)Q1:为什么检索不到结果?
Q2:检索结果不相关?
Q3:检索速度慢?
Q4:如何选择男频/女频?
male 参数检索男频剧本female 参数检索女频剧本all 参数不限类型(默认)© Supreme-Ultimate, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/hit-script-retrieval-skill of Supreme-Ultimate/novel-to-script-team.
Open the folder on GitHubat commit 117dceb
Hit Script Retrieval Skill next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Hit Script Retrieval Skill this skillSupreme-Ultimate/novel-to-script-team | 175 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Guizang Social Cardsop7418/guizang-social-card-skill | 7.4k | 1 repos | ~7.8k | Automated safety check: Pass | AGPL-3.0 | |
| Weekly Changelog Videoheygen-com/hyperframes | 59k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Anthropic Brand Stylinganthropics/skills | 180k | 30 repos | ~559 | Automated safety check: Pass | Apache-2.0 | |
| Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image | 2.2k | 2 repos | ~1.8k | Automated safety check: Pass | MIT | |
| MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo | 129k | — | ~2.1k | Automated safety check: Warn | MIT |
op7418/guizang-social-card-skill
Produces social card sets for Xiaohongshu and WeChat: carousels, Live Photo motion cards and puzzle layouts, and WeChat cover pairs, rendered from single-file HTML.
heygen-com/hyperframes
Turns a weekly changelog markdown file into a branded HyperFrames video with voiceover, animated mock-UI scenes and captions, using fonts, background and scripts bundled in the skill.
anthropics/skills
Applies Anthropic's brand colors and fonts to artifacts such as PowerPoint slides, using fixed hex values for text and accents, Poppins headings and Lora body text.
chengyi-ai/native-subtitle-quote-image
将本地视频或用户有权处理的在线视频,经过来源获取、文字稿定位、选题选句、精确取帧、紧凑裁切、拼图和逐张质检,制作成 3:4 或保留画面原比例的视频字幕长图。支持两种明确分开的输出:保留画面内已烧录字幕的原生字幕模式,以及把已审核的时间点与台词绘制到真实视频帧上的脚本字幕模式。用户要求原生字幕截图、字幕帧拼图、YouTube…
harry0703/MoneyPrinterTurbo
Installs and runs MoneyPrinterTurbo to turn a topic or script into a finished short video with voice-over, subtitles, stock footage and music.
latent-spaces/brag
Builds a short, shareable launch video with music and motion from a project directory or a website URL, using only tools already on the machine.
Supreme-Ultimate/novel-to-script-team
Turns the character and scene lists from a director analysis into detailed text-to-image prompts for character sheets, scenes and props, after confirming a visual style with you.
Supreme-Ultimate/novel-to-script-team
Reviews costume, makeup and prop design prompts for characters and scenes in a novel-to-film pipeline, scoring each one and returning PASS or FAIL with a problem list.
Supreme-Ultimate/novel-to-script-team
Chinese-language skill that scores a generated short-drama script against a reference hit script on rhythm, dialogue style, emotional impact and structure, with PASS/FAIL thresholds.
Supreme-Ultimate/novel-to-script-team
Breaks a script or outline into plot points and writes a director's walkthrough, character list and scene list sized for Seedance video generation.
Supreme-Ultimate/novel-to-script-team
Turns a script, synopsis or scene outline into AI image prompts for storyboards, using a beat breakdown, a nine-panel Beat Board and four-panel Sequence Boards.
Supreme-Ultimate/novel-to-script-team
调用 nano banana API(gemini-3.1-flash-image-preview)生成图片。支持纯文本生图和参考图生图。
Categories
爆款剧本检索技能。使用混合搜索(语义+关键词)检索最相关的爆款剧本,为生成提供参考. An agent skill from Supreme-Ultimate/novel-to-script-team. Hit Script Retrieval Skill is an agent skill from Supreme-Ultimate/novel-to-script-team.
Hit Script Retrieval Skill fits situations like: media & Creative work in your project.
Run `npx skills add Supreme-Ultimate/novel-to-script-team --skill hit-script-retrieval-skill -a claude-code`. Or copy the skill folder (skills/hit-script-retrieval-skill in Supreme-Ultimate/novel-to-script-team) into .claude/skills/hit-script-retrieval-skill in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Supreme-Ultimate/novel-to-script-team --skill hit-script-retrieval-skill -a codex`. Or copy the skill folder (skills/hit-script-retrieval-skill in Supreme-Ultimate/novel-to-script-team) into .agents/skills/hit-script-retrieval-skill in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Supreme-Ultimate/novel-to-script-team --skill hit-script-retrieval-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hit-script-retrieval-skill, .gemini/skills/hit-script-retrieval-skill, .github/skills/hit-script-retrieval-skill and .opencode/skills/hit-script-retrieval-skill in your project.
Going by SKILL.md and its folder, Hit Script Retrieval Skill needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Hit Script Retrieval Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Hit Script Retrieval Skill: Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars), Weekly Changelog Video (heygen-com/hyperframes, 59k stars), Anthropic Brand Styling (anthropics/skills, 180k stars) and Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Supreme-Ultimate (a GitHub organization) maintains it in Supreme-Ultimate/novel-to-script-team, which has 175 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on May 2, 2026.
Source: Supreme-Ultimate/novel-to-script-team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.