Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Structural topic modeling: STM spec, topic count, coherence-exclusivity.
Install Topic Modeling
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill topic-modeling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills 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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/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 brycewang-stanford/Auto-Empirical-Research-Skills --skill topic-modeling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills topic-modeling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/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 brycewang-stanford/Auto-Empirical-Research-Skills --skill topic-modeling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills topic-modeling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/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/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/54-scdenney-open-science-skills/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 brycewang-stanford/Auto-Empirical-Research-Skills --skill topic-modeling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills topic-modeling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/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 brycewang-stanford/Auto-Empirical-Research-Skills 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill topic-modeling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/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 brycewang-stanford/Auto-Empirical-Research-Skills --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 brycewang-stanford/Auto-Empirical-Research-Skills topic-modeling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/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
- 4.5k
- Token cost
- ~3.7k tokens
- SKILL.md length
- 1,709 words
- Files
- 1
- Skills in repo
- 364
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Structural topic modeling: STM spec, topic count, coherence-exclusivity.
- Works in 7 steps: Model Selection → Preprocessing → Model Specification → …
- AI & LLM Engineering work in your project
- SKILL.md covers Instructions, Quality Checks and Example
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Topic Modeling is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Structural topic modeling: STM spec, topic count, coherence-exclusivity.
Its SKILL.md is about 3.7k 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 AI & LLM Engineering. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI…
When your agent uses it
- AI & LLM Engineering work in your project
Example prompts
- “/topic-modeling”
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- Model Selection
- Preprocessing
- Model Specification
- Selecting the Number of Topics
- Interpretation and Validation
- Robustness and Sensitivity
- Reporting
What it can do on your machine
Read from SKILL.md and the folder at commit 9fa87d8. 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 (its code samples are r).
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 3.7k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 1,709 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); files beside SKILL.md 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 1,709 words (~3,655 tokens).
“A minimal STM workflow for a survey experiment in which df holds one row per respondent with columns open_ended_responses (text) and treatment_arm (factor). The four stages — (a) preprocess, (b) sweep K, (c) refit with multiple initializations, (d) estimate treatment…”
- name
- topic-modeling
- argument-hint
- [describe your corpus and research question]
Files
Just SKILL.md in skills/54-scdenney-open-science-skills/skills/topic-modeling of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
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 skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Peft Fine TuningOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.8k | 15 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Topic Modeling
What does Topic Modeling do?
Structural topic modeling: STM spec, topic count, coherence-exclusivity. Topic Modeling is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Structural topic modeling: STM spec, topic count, coherence-exclusivity.
When should I use Topic Modeling?
Topic Modeling fits situations like: AI & LLM Engineering work in your project.
How do I install Topic Modeling in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill topic-modeling -a claude-code`. Or copy the skill folder (skills/54-scdenney-open-science-skills/skills/topic-modeling in brycewang-stanford/Auto-Empirical-Research-Skills) 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill topic-modeling -a codex`. Or copy the skill folder (skills/54-scdenney-open-science-skills/skills/topic-modeling in brycewang-stanford/Auto-Empirical-Research-Skills) 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 brycewang-stanford/Auto-Empirical-Research-Skills --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?
SKILL.md names no scripts, command-line tools or credentials: Topic Modeling is instructions for the agent only.
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. Review the folder before installing.
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 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Topic Modeling?
Skills that share tags, products or a category with Topic Modeling: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Topic Modeling?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,529 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.