Compromise NLP Library
spencermountain/compromise
Helps write and debug JavaScript or TypeScript that uses the compromise English NLP library for matching, entity extraction, tagging and sentence transforms.
Topic modeling workflows for Chinese corpora using LDA, Dynamic Topic Model/DTM, and BERTopic.
Custom licenceAuto-check passed
Install Topic Modeling
$ npx skills add Drchronx/ai-agent-research-starter-kit --skill topic-modeling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit topic-modeling --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/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'综合学术部署包/05_文本挖掘与NLP Skills/topic-modeling' .claude/skills/topic-modeling && 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 "topic-modeling" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/05_%E6%96%87%E6%9C%AC%E6%8C%96%E6%8E%98%E4%B8%8ENLP%20Skills/topic-modeling into .claude/skills/topic-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "topic-modeling", 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/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/05_%E6%96%87%E6%9C%AC%E6%8C%96%E6%8E%98%E4%B8%8ENLP%20Skills/topic-modelingType 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 Drchronx/ai-agent-research-starter-kit --skill topic-modeling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit topic-modeling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'综合学术部署包/05_文本挖掘与NLP Skills/topic-modeling' .agents/skills/topic-modeling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "topic-modeling" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/05_%E6%96%87%E6%9C%AC%E6%8C%96%E6%8E%98%E4%B8%8ENLP%20Skills/topic-modeling into .agents/skills/topic-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "topic-modeling", 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 Drchronx/ai-agent-research-starter-kit --skill topic-modeling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit topic-modeling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'综合学术部署包/05_文本挖掘与NLP Skills/topic-modeling' .cursor/skills/topic-modeling && 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 "topic-modeling" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/05_%E6%96%87%E6%9C%AC%E6%8C%96%E6%8E%98%E4%B8%8ENLP%20Skills/topic-modeling into .cursor/skills/topic-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "topic-modeling", 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/Drchronx/ai-agent-research-starter-kit.git --path '综合学术部署包/05_文本挖掘与NLP Skills/topic-modeling'--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 Drchronx/ai-agent-research-starter-kit --skill topic-modeling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit topic-modeling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'综合学术部署包/05_文本挖掘与NLP Skills/topic-modeling' .gemini/skills/topic-modeling && 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 "topic-modeling" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/05_%E6%96%87%E6%9C%AC%E6%8C%96%E6%8E%98%E4%B8%8ENLP%20Skills/topic-modeling into .gemini/skills/topic-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "topic-modeling", 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 Drchronx/ai-agent-research-starter-kit topic-modelingInstalls 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 Drchronx/ai-agent-research-starter-kit --skill topic-modeling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/'综合学术部署包/05_文本挖掘与NLP Skills/topic-modeling' .github/skills/topic-modeling && 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 "topic-modeling" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/05_%E6%96%87%E6%9C%AC%E6%8C%96%E6%8E%98%E4%B8%8ENLP%20Skills/topic-modeling into .github/skills/topic-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "topic-modeling", 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 Drchronx/ai-agent-research-starter-kit --skill topic-modeling -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit topic-modeling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'综合学术部署包/05_文本挖掘与NLP Skills/topic-modeling' .opencode/skills/topic-modeling && 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 "topic-modeling" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/05_%E6%96%87%E6%9C%AC%E6%8C%96%E6%8E%98%E4%B8%8ENLP%20Skills/topic-modeling into .opencode/skills/topic-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "topic-modeling", 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.
Facts
- Skill name
topic-modeling- GitHub stars
- 134
- Token cost
- ~561 tokens
- SKILL.md length
- 250 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 53
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Topic modeling workflows for Chinese corpora using LDA, Dynamic Topic Model/DTM, and BERTopic.
- Works in 6 steps: Decide whether the request is LDA, DTM,… → If unsupported, state that this skill… → If supported, write a plan before… → …
- A user asks Codex to discover topics
- SKILL.md covers Operating Rule, Capability Map, Input Expectations and Course Context
- Runs Python scripts from its folder
What it does
Topic Modeling is an agent skill from Drchronx/ai-agent-research-starter-kit. Topic modeling workflows for Chinese corpora using LDA, Dynamic Topic Model/DTM, and BERTopic. Use when a user asks Codex to discover topics, train LDA models, compute topic keywords, model topic evolution over time, train DTM, run BERTopic, export document-topic assignments, or create topic visualization outputs from text files or tabular corpora.
Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `agents/openai.yaml`, `readme.md` and `references/bertopic.md`).
The repository describes itself as: AI Agent 科研全流程教学包，能教学生从零部署 Codex、Claude Code、OpenClaw、Hermes 等 Agent，学会使用 Skills、飞书、AMiner、AI4Scholar、Zotero、Obsidian…
When your agent uses it
- A user asks Codex to discover topics
- Train LDA models
- Compute topic keywords
- Model topic evolution over time
Example prompts
- “/topic-modeling”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Decide whether the request is LDA, DTM, or BERTopic.
- If unsupported, state that this skill cannot solve it and identify the missing capability.
- If supported, write a plan before running commands. Include the model type, reference file, script, input data path, required columns, key…
- For LDA topic-count selection, run diagnostics first when the user has not explicitly chosen a final topic count. Show the diagnostic…
- Ask for missing text column, time column, topic count, model path, or output directory.
- Execute the relevant script with command-line arguments and report generated files.
What it can do on your machine
Read from SKILL.md and the folder at commit aab1133. 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
Ships 3 files in scripts/ (Python), which the agent can run.
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
Topic Modeling loads about 561 tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 250 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.
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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 250 words (~561 tokens).
“Use this skill as a fixed command-line workflow. Do not write ad-hoc topic modeling code.”
- name
- topic-modeling
Files
SKILL.md and 8 other files (scripts, references) in 综合学术部署包/05_文本挖掘与NLP Skills/topic-modeling of Drchronx/ai-agent-research-starter-kit.
- SKILL.md
- agents/openai.yaml
- readme.md
- references/bertopic.md
- references/dtm.md
- references/lda.md
- scripts/bertopic_model.py
- scripts/dtm_model.py
- scripts/lda_model.py
Open the folder on GitHubat commit aab1133
Compare with similar skills
Topic Modeling 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 |
|---|---|---|---|---|---|---|
| Topic Modeling this skillDrchronx/ai-agent-research-starter-kit | 134 | — | ~561 | Automated safety check: Pass | Custom licence | |
| Compromise NLP Libraryspencermountain/compromise | 12k | — | ~2k | Automated safety check: Pass | MIT | |
| Blog GoogleAgriciDaniel/claude-blog | 2.3k | 1 repos | ~3.3k | Automated safety check: Notes | MIT | |
| Compromise NLP for JavaScriptspencermountain/compromise | 12k | — | ~1.8k | Automated safety check: Pass | MIT | |
| PaperjurySpark-To-Paper-Skills/paperjury | 1.2k | — | ~5.3k | Automated safety check: Pass | MIT | |
| Hugging Face TokenizersOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~3.4k | Automated safety check: Pass | MIT |
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Questions about Topic Modeling
What does Topic Modeling do?
Topic modeling workflows for Chinese corpora using LDA, Dynamic Topic Model/DTM, and BERTopic. Topic Modeling is an agent skill from Drchronx/ai-agent-research-starter-kit. Topic modeling workflows for Chinese corpora using LDA, Dynamic Topic Model/DTM, and BERTopic.
When should I use Topic Modeling?
Topic Modeling fits situations like: A user asks Codex to discover topics; train LDA models; compute topic keywords; model topic evolution over time.
How do I install Topic Modeling in Claude Code?
Run `npx skills add Drchronx/ai-agent-research-starter-kit --skill topic-modeling -a claude-code`. Or copy the skill folder (综合学术部署包/05_文本挖掘与NLP Skills/topic-modeling in Drchronx/ai-agent-research-starter-kit) into .claude/skills/topic-modeling in your project. Claude Code loads it when a task matches its description.
How do I install Topic Modeling in Codex?
Run `npx skills add Drchronx/ai-agent-research-starter-kit --skill topic-modeling -a codex`. Or copy the skill folder (综合学术部署包/05_文本挖掘与NLP Skills/topic-modeling in Drchronx/ai-agent-research-starter-kit) into .agents/skills/topic-modeling in your project. Codex loads it when a task matches its description.
Can I use Topic Modeling 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 Drchronx/ai-agent-research-starter-kit --skill topic-modeling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/topic-modeling, .gemini/skills/topic-modeling, .github/skills/topic-modeling and .opencode/skills/topic-modeling in your project.
What does Topic Modeling need to run?
Going by SKILL.md and its folder, Topic Modeling needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Topic Modeling 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 Topic Modeling 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Topic Modeling use?
Topic Modeling has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Topic Modeling use?
About 561 tokens (SKILL.md is roughly 2.2k 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 2.5k tokens, read only when the agent opens those files.
What are the alternatives to Topic Modeling?
Skills that share tags, products or a category with Topic Modeling: Compromise NLP Library (spencermountain/compromise, 12k stars), Blog Google (AgriciDaniel/claude-blog, 2.3k stars), Compromise NLP for JavaScript (spencermountain/compromise, 12k stars) and Paperjury (Spark-To-Paper-Skills/paperjury, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Topic Modeling?
Drchronx (a GitHub user) maintains it in Drchronx/ai-agent-research-starter-kit, which has 134 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on May 19, 2026.
Source: Drchronx/ai-agent-research-starter-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.