SDT 内容生产工具箱的总入口:根据当前任务选择最合适的 sdt- 模块,既能完成标题、开头等单一步骤,也能组织从账号研究到发布的完整流程。用户不知道该用哪个 SDT Skill,或希望一站式完成内容生产时使用。

MITAuto-check passedSales & Support

Install Sdt

skills CLI
$ npx skills add StopDisTrain/sdt-skills --skill sdt -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install StopDisTrain/sdt-skills sdt --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/StopDisTrain/sdt-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sdt .claude/skills/sdt && rm -rf skills-src

Use ~/.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/

Facts

Skill name
sdt
GitHub stars
309
Token cost
~535 tokens
SKILL.md length
117 words
Files
5 (incl. references, assets)
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

SDT 内容生产工具箱的总入口:根据当前任务选择最合适的 sdt- 模块,既能完成标题、开头等单一步骤,也能组织从账号研究到发布的完整流程。用户不知道该用哪个 SDT Skill,或希望一站式完成内容生产时使用。

  • Works in 5 steps: 读取当前对话,识别用户此刻要的一个交付。 → 能直接确定模块时,只执行该模块,不要求补做上游全流程。 → 只索取完成本步骤不可缺少的信息;不要为了“流程完整”索取无关材料。 → …
  • The user is unsure which sdt- skill to choose
  • SKILL.md covers 默认行为:单步骤优先, 核心规则, 运行模式 and 完整生产线(仅显式触发), plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sdt is an agent skill from StopDisTrain/sdt-skills. SDT 内容生产工具箱的总入口:根据当前任务选择最合适的 sdt- 模块,既能完成标题、开头等单一步骤,也能组织从账号研究到发布的完整流程。用户不知道该用哪个 SDT Skill,或希望一站式完成内容生产时使用。 English: Main entry point for the SDT content-production toolkit. Use when the user is unsure which sdt- skill to choose, wants a single step such as a title or hook, or wants an end-to-end workflow from account research to publishing.

Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files and assets (for example `agents/openai.yaml`, `assets/production-brief.md` and `references/module-map.md`).

It sits in Sales & Support, covering Sales call preparation. The repository describes itself as: SDT content research, creation and quality-control skills for Codex. The licence is MIT.

When your agent uses it

  • The user is unsure which sdt- skill to choose
  • Wants a single step such as a title
  • Wants an end-to-end workflow from account research to publishing

Example prompts

  • “/sdt”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 读取当前对话,识别用户此刻要的一个交付。
  2. 能直接确定模块时,只执行该模块,不要求补做上游全流程。
  3. 只索取完成本步骤不可缺少的信息;不要为了“流程完整”索取无关材料。
  4. 用户说“只要标题”“只检查开头”“只帮我找选题”时,在对应结果交付后停止。
  5. 只有用户明确说“完整生产、从头到尾、整套做完”时,才进入完整生产线。

What it can do on your machine

Read from SKILL.md and the folder at commit 0678cd0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sdt loads about 535 tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 87 tokens; SKILL.md has 117 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~535
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.6k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from StopDisTrain/sdt-skills at commit 0678cd0, republished under its MIT licence (© StopDisTrain). 117 words, ~535 tokens.

Download SKILL.mdSave it as .claude/skills/sdt/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
sdt
description
SDT 内容生产工具箱的总入口:根据当前任务选择最合适的 sdt-* 模块,既能完成标题、开头等单一步骤,也能组织从账号研究到发布的完整流程。用户不知道该用哪个 SDT Skill,或希望一站式完成内容生产时使用。 English: Main entry point for the SDT content-production toolkit. Use when the user is unsure which sdt-* skill to choose, wants a single step such as a title or hook, or wants an end-to-end workflow from account research to publishing.

SDT:内容生产系统

把账号事实、公开内容证据和 SDT 自有方法组合成可追溯的内容工具箱。每个 sdt-* 都是独立 Skill;总入口只负责识别当前任务和组织必要衔接。

默认行为:单步骤优先

  1. 读取当前对话,识别用户此刻要的一个交付。
  2. 能直接确定模块时,只执行该模块,不要求补做上游全流程。
  3. 只索取完成本步骤不可缺少的信息;不要为了“流程完整”索取无关材料。
  4. 用户说“只要标题”“只检查开头”“只帮我找选题”时,在对应结果交付后停止。
  5. 只有用户明确说“完整生产、从头到尾、整套做完”时,才进入完整生产线。

读 references/module-map.md 选择模块。

核心规则

  1. 需要第一人称代写或账号适配时先确认账号事实;纯标题公式、通用质检等单项任务不强制建完整档案。
  2. 先保留来源证据,再讨论为什么火。正式对标视频的可见点赞数必须大于等于 3,000,但不可用这一绝对值代替相对表现判定。
  3. 迁移传播机制,不搬运原句、事实、人物经历或独特资源。
  4. 内容即使删除产品信息也必须值得看;产品只作为自然落点。
  5. 任何数字、经历、客户案例和结果承诺都必须能追溯到来源。
  6. 标题和开头必须在正文方向确定后制作。
  7. 所有模块使用 SDT 自有规则,不依赖其他技能才能运行。

运行模式

  • 单项任务:默认模式,只运行标题、开头、封面、检索、选题、诊断或归档中的一个。
  • 完整生产:仅在用户明确要求时,从目标账号和研究范围开始,交付一套可发布内容。
  • 选题研究:停在选题池与评分,不写正文。
  • 单项生产:标题、封面、开头、逐字稿等已有上游材料时单独处理。
  • 复盘沉淀:把发布数据与结论写回内容资产系统。

完整生产线(仅显式触发)

按以下闸门顺序执行。读 references/pipeline.md 获取每一阶段输入、输出和退回条件。

  1. 使用 sdt-account 建立账号档案。
  2. 使用 sdt-research 获取账号、笔记、标题、封面和可见指标。
  3. 使用 sdt-benchmark 筛出垂直、邻近、跨域三类样本。
  4. 使用 sdt-spread 提炼爆款的承重传播机制。
  5. 使用 sdt-topic 生成候选、建立目标账号桥梁并评分。
  6. 用户只要求选题研究时到此停止;明确要求成稿时继续使用 sdt-content。
  7. 使用 sdt-xhs-title、sdt-cover 和 sdt-hook 制作包装。
  8. 使用 sdt-script-flow、sdt-resonate、sdt-ai-check 依次质检;只修复对应问题,不偷换主题。
  9. 需要公众号版本时使用 sdt-wechat-html 生成发布文件。
  10. 使用 sdt-content-system 保存来源、版本、表现和复盘。

独立调用规则

  • 用户可直接调用任意 sdt-*,无需先调用 sdt。
  • 总入口只传递当前模块真正需要的上下文。
  • 某模块发现根本问题属于另一模块时,先交付本步骤能确定的结论,再说明缺少什么;不要自行启动长链。
  • 标题最低输入是一个主题或一段正文;开头最低输入是正文或完整内容结构;跨域选题最低输入是目标账号简档和一个来源样本。
  • 完整流程中的中间产物使用统一字段,单项任务则允许轻量输出。

统一交付

完整生产至少交付:

  • 目标账号与本次内容目的
  • 来源证据表
  • 原始爆款机制
  • 迁移桥梁与风险
  • 选题评分
  • 最终标题、封面、开头、正文或逐字稿
  • 三类质检结果与修改说明
  • 待发布假设和发布后应回填的指标

使用 assets/production-brief.md 作为交付骨架。

停止条件

  • 无法确认目标账号,停止生产并只索取账号链接或档案。
  • 检索遇到验证码、登录过期、限流或空响应,停止自动重试并报告。
  • 来源内容缺少可核对指标,标为“灵感样本”,不得标为“低粉爆款”。
  • 迁移必须伪造目标人物经历或专业资格,淘汰选题。
  • 数据或健康、法律、金融主张无法验证,删除精确结论或补充可靠来源。

© StopDisTrain, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references, assets) in skills/sdt of StopDisTrain/sdt-skills.

  • SKILL.md
  • agents/openai.yaml
  • assets/production-brief.md
  • references/module-map.md
  • references/pipeline.md

Open the folder on GitHubat commit 0678cd0

Compare with similar skills

Sdt 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.

Sdt compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sdt this skillStopDisTrain/sdt-skills309—~535Automated safety check: PassMIT
Luopan Company Researchzhangxiaoqiang1991/luopan389—~998Automated safety check: PassMIT
Company Researchstophobia/deerflow2.0-enhanced821—~845Automated safety check: PassMIT
Meeting Prep BriefBrianRWagner/ai-marketing-claude-code-skills440—~922Automated safety check: PassNone
Account Researchextruct-ai/gtm-skills109—~1.6kAutomated safety check: PassNone
Call Prepbreakstageaxe61/genspark-claw159—~986Automated safety check: PassMIT

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More from StopDisTrain/sdt-skills

All 15 skills in this repo
  • Sdt Topic

    StopDisTrain/sdt-skills

    把已验证的传播机制转成适合目标账号的内容选题,并完成生成、迁移、评分和筛选,让选题自然连接人设、产品或门店。用户要从低粉爆款、垂直样本、邻近受众或跨赛道内容中寻找新选题时使用。

    309 GitHub stars~339 tokensUpdated 1 mo ago
    Auto-check passed
  • Sdt Research

    StopDisTrain/sdt-skills

    只读检索小红书公开内容,并把账号数据、标题、封面、互动量、作者近期内容和低粉爆款整理成可追溯证据。用户要求查公开账号或笔记数据时使用;不得点赞、收藏、评论、发布、删除或导出登录凭证。

    309 GitHub stars~343 tokensUpdated 1 mo ago
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  • Sdt Wechat HTML

    StopDisTrain/sdt-skills

    把已经完成并通过质检的 Markdown 内容转换成可粘贴到微信公众号后台的 HTML,并支持选择样式、生成预览和检查粘贴兼容性。用户要制作公众号排版稿或微信发布版本时使用。

    309 GitHub stars~274 tokensUpdated 1 mo ago
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  • Sdt Xhs Title

    StopDisTrain/sdt-skills

    根据主题、正文或已有标题生成并筛选小红书标题,提供改写和 A/B 方案,同时检查账号调性、真实性以及正文能否兑现标题承诺。用户要起标题、改标题、套用标题模式或检查标题时使用。

    309 GitHub stars~247 tokensUpdated 1 mo ago
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  • Sdt Account

    StopDisTrain/sdt-skills

    把账号链接、主页截图、产品说明和历史内容整理成可复用的账号档案,明确调性、人设、受众、产品连接和表达边界。用户要求分析账号定位、建立账号资料,或开始完整内容生产流程时使用。

    309 GitHub stars~257 tokensUpdated 1 mo ago
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  • Sdt Content

    StopDisTrain/sdt-skills

    把已经确认的选题写成可以直接拍摄或发布的内容,包括选择形式、搭建结构、写口播逐字稿或图文正文,并让产品自然出现。用户要求把选题变成成稿、拍摄稿或发布稿时使用。

    309 GitHub stars~280 tokensUpdated 1 mo ago
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Categories

Questions about Sdt

What does Sdt do?

SDT 内容生产工具箱的总入口:根据当前任务选择最合适的 sdt- 模块,既能完成标题、开头等单一步骤,也能组织从账号研究到发布的完整流程。用户不知道该用哪个 SDT Skill,或希望一站式完成内容生产时使用。. Sdt is an agent skill from StopDisTrain/sdt-skills. SDT 内容生产工具箱的总入口:根据当前任务选择最合适的 sdt- 模块,既能完成标题、开头等单一步骤,也能组织从账号研究到发布的完整流程。用户不知道该用哪个 SDT Skill,或希望一站式完成内容生产时使用。 English: Main entry point for the SDT content-production toolkit.

When should I use Sdt?

Sdt fits situations like: the user is unsure which sdt- skill to choose; wants a single step such as a title; wants an end-to-end workflow from account research to publishing.

How do I install Sdt in Claude Code?

Run `npx skills add StopDisTrain/sdt-skills --skill sdt -a claude-code`. Or copy the skill folder (skills/sdt in StopDisTrain/sdt-skills) into .claude/skills/sdt in your project. Claude Code loads it when a task matches its description.

How do I install Sdt in Codex?

Run `npx skills add StopDisTrain/sdt-skills --skill sdt -a codex`. Or copy the skill folder (skills/sdt in StopDisTrain/sdt-skills) into .agents/skills/sdt in your project. Codex loads it when a task matches its description.

Can I use Sdt in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add StopDisTrain/sdt-skills --skill sdt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sdt, .gemini/skills/sdt, .github/skills/sdt and .opencode/skills/sdt in your project.

What does Sdt need to run?

SKILL.md names no scripts, command-line tools or credentials: Sdt is instructions for the agent only.

Does Sdt access the network?

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.

Is Sdt safe to install?

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.

What licence does Sdt use?

Sdt is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sdt use?

About 535 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.

What are the alternatives to Sdt?

Skills that share tags, products or a category with Sdt: Luopan Company Research (zhangxiaoqiang1991/luopan, 389 stars), Company Research (stophobia/deerflow2.0-enhanced, 821 stars), Meeting Prep Brief (BrianRWagner/ai-marketing-claude-code-skills, 440 stars) and Account Research (extruct-ai/gtm-skills, 109 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sdt?

StopDisTrain (a GitHub user) maintains it in StopDisTrain/sdt-skills, which has 309 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on August 25, 2026.

Source: StopDisTrain/sdt-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.