Scholar Compute
joshzyj/open-scholar-skill
Design and execute computational social science analyses across 11 modules: text-as-data/NLP (STM, BERTopic, Wordfish, BERT, conText embedding regression, LLM annotation + DSL bias correction…
Paddle-based deep learning workflows from the course materials, including DNN/RNN text-style baselines and the CNN/LeNet image classification case using folder-labeled digit images.
Install Deep Learning NLP
$ npx skills add Drchronx/ai-agent-research-starter-kit --skill deep-learning-nlp -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit deep-learning-nlp --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/deep-learning-nlp' .claude/skills/deep-learning-nlp && 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 "deep-learning-nlp" 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/deep-learning-nlp into .claude/skills/deep-learning-nlp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-learning-nlp", 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/deep-learning-nlpType 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 deep-learning-nlp -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit deep-learning-nlp --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/deep-learning-nlp' .agents/skills/deep-learning-nlp && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deep-learning-nlp" 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/deep-learning-nlp into .agents/skills/deep-learning-nlp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-learning-nlp", 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 deep-learning-nlp -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit deep-learning-nlp --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/deep-learning-nlp' .cursor/skills/deep-learning-nlp && 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 "deep-learning-nlp" 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/deep-learning-nlp into .cursor/skills/deep-learning-nlp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-learning-nlp", 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/deep-learning-nlp'--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 deep-learning-nlp -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit deep-learning-nlp --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/deep-learning-nlp' .gemini/skills/deep-learning-nlp && 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 "deep-learning-nlp" 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/deep-learning-nlp into .gemini/skills/deep-learning-nlp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-learning-nlp", 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 deep-learning-nlpInstalls 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 deep-learning-nlp -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/deep-learning-nlp' .github/skills/deep-learning-nlp && 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 "deep-learning-nlp" 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/deep-learning-nlp into .github/skills/deep-learning-nlp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-learning-nlp", 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 deep-learning-nlp -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 deep-learning-nlp --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/deep-learning-nlp' .opencode/skills/deep-learning-nlp && 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 "deep-learning-nlp" 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/deep-learning-nlp into .opencode/skills/deep-learning-nlp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-learning-nlp", 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
deep-learning-nlp- GitHub stars
- 135
- Token cost
- ~516 tokens
- SKILL.md length
- 228 words
- Files
- 8 (incl. scripts, references)
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Paddle-based deep learning workflows from the course materials, including DNN/RNN text-style baselines and the CNN/LeNet image classification case using folder-labeled digit images.
- Works in 5 steps: Decide whether the request is DNN,… → If unsupported, state that this skill… → If supported, write a plan first.… → …
- A user asks Codex to train
- SKILL.md covers Operating Rule, Capability Map, Input Expectations and Course Context
- Runs Python scripts from its folder
What it does
Deep Learning NLP is an agent skill from Drchronx/ai-agent-research-starter-kit. Paddle-based deep learning workflows from the course materials, including DNN/RNN text-style baselines and the CNN/LeNet image classification case using folder-labeled digit images. Use when a user asks Codex to train, evaluate, save, load, or predict with course DNN, CNN/LeNet, or RNN/GRU examples.
Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `agents/openai.yaml`, `readme.md` and `references/cnn.md`).
It sits in AI & LLM Engineering, covering Deep learning, Natural language processing and Computer vision. 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 train
- Predict with course DNN
- RNN/GRU examples
Example prompts
- “/deep-learning-nlp”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Decide whether the request is DNN, CNN/LeNet image classification, or RNN text-style modeling.
- If unsupported, state that this skill cannot solve it and name the missing model or task type.
- If supported, write a plan first. Include the model type, reference file, script, required data paths, training parameters, model output…
- Ask for missing columns, image folders, model directory, or output path.
- Execute the referenced script with command-line arguments.
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 2 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
Deep Learning NLP loads about 516 tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 228 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 228 words (~516 tokens).
“Use this skill as a fixed command-line workflow. Do not write custom Paddle training code unless the user explicitly asks for a new model architecture outside this skill.”
- name
- deep-learning-nlp
Files
SKILL.md and 7 other files (scripts, references) in 综合学术部署包/05_文本挖掘与NLP Skills/deep-learning-nlp of Drchronx/ai-agent-research-starter-kit.
- SKILL.md
- agents/openai.yaml
- readme.md
- references/cnn.md
- references/dnn.md
- references/rnn.md
- scripts/paddle_image_cnn.py
- scripts/paddle_text_classifier.py
Open the folder on GitHubat commit aab1133
Compare with similar skills
Deep Learning NLP 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 |
|---|---|---|---|---|---|---|
| Deep Learning NLP this skillDrchronx/ai-agent-research-starter-kit | 135 | — | ~516 | Automated safety check: Pass | Custom licence | |
| Scholar Computejoshzyj/open-scholar-skill | 168 | — | ~15k | Automated safety check: Pass | Custom licence | |
| AI ML Skillswentorai/research-plugins | 298 | 1 repos | ~993 | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Mixing Transformsalbumentations-team/AlbumentationsX | 567 | — | ~1.3k | Automated safety check: Pass | AGPL-3.0 |
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Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns.
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Related
Categories
Questions about Deep Learning NLP
What does Deep Learning NLP do?
Paddle-based deep learning workflows from the course materials, including DNN/RNN text-style baselines and the CNN/LeNet image classification case using folder-labeled digit images. Deep Learning NLP is an agent skill from Drchronx/ai-agent-research-starter-kit. Paddle-based deep learning workflows from the course materials, including DNN/RNN text-style baselines and the CNN/LeNet image classification case using folder-labeled digit images.
When should I use Deep Learning NLP?
Deep Learning NLP fits situations like: A user asks Codex to train; predict with course DNN; RNN/GRU examples.
How do I install Deep Learning NLP in Claude Code?
Run `npx skills add Drchronx/ai-agent-research-starter-kit --skill deep-learning-nlp -a claude-code`. Or copy the skill folder (综合学术部署包/05_文本挖掘与NLP Skills/deep-learning-nlp in Drchronx/ai-agent-research-starter-kit) into .claude/skills/deep-learning-nlp in your project. Claude Code loads it when a task matches its description.
How do I install Deep Learning NLP in Codex?
Run `npx skills add Drchronx/ai-agent-research-starter-kit --skill deep-learning-nlp -a codex`. Or copy the skill folder (综合学术部署包/05_文本挖掘与NLP Skills/deep-learning-nlp in Drchronx/ai-agent-research-starter-kit) into .agents/skills/deep-learning-nlp in your project. Codex loads it when a task matches its description.
Can I use Deep Learning NLP 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 deep-learning-nlp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deep-learning-nlp, .gemini/skills/deep-learning-nlp, .github/skills/deep-learning-nlp and .opencode/skills/deep-learning-nlp in your project.
What does Deep Learning NLP need to run?
Going by SKILL.md and its folder, Deep Learning NLP needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Deep Learning NLP 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 Deep Learning NLP 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 Deep Learning NLP use?
Deep Learning NLP 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 Deep Learning NLP use?
About 516 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 948 tokens, read only when the agent opens those files.
What are the alternatives to Deep Learning NLP?
Skills that share tags, products or a category with Deep Learning NLP: Scholar Compute (joshzyj/open-scholar-skill, 168 stars), AI ML Skills (wentorai/research-plugins, 298 stars), Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars) and CLIP Image-Text Matching (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 Deep Learning NLP?
Drchronx (a GitHub user) maintains it in Drchronx/ai-agent-research-starter-kit, which has 135 GitHub stars. The repository holds 36 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.