DeepTutor CLI
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
Run an interactive typed conversation session simulating spoken practice — free-flowing dialogue, role-plays, and opinion questions prioritizing communication over perfect grammar.
Install Fluent Speaking
$ npx skills add m98/fluent --skill fluent-speaking -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install m98/fluent fluent-speaking --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/m98/fluent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/fluent-speaking .claude/skills/fluent-speaking && 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 "fluent-speaking" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-speaking into .claude/skills/fluent-speaking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-speaking", 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/m98/fluent/tree/main/.claude/skills/fluent-speakingType 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 m98/fluent --skill fluent-speaking -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install m98/fluent fluent-speaking --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/m98/fluent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/fluent-speaking .agents/skills/fluent-speaking && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fluent-speaking" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-speaking into .agents/skills/fluent-speaking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-speaking", 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 m98/fluent --skill fluent-speaking -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install m98/fluent fluent-speaking --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/m98/fluent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/fluent-speaking .cursor/skills/fluent-speaking && 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 "fluent-speaking" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-speaking into .cursor/skills/fluent-speaking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-speaking", 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/m98/fluent.git --path .claude/skills/fluent-speaking--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 m98/fluent --skill fluent-speaking -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install m98/fluent fluent-speaking --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/m98/fluent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/fluent-speaking .gemini/skills/fluent-speaking && 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 "fluent-speaking" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-speaking into .gemini/skills/fluent-speaking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-speaking", 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 m98/fluent fluent-speakingInstalls 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 m98/fluent --skill fluent-speaking -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/m98/fluent.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/fluent-speaking .github/skills/fluent-speaking && 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 "fluent-speaking" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-speaking into .github/skills/fluent-speaking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-speaking", 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 m98/fluent --skill fluent-speaking -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install m98/fluent fluent-speaking --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/m98/fluent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/fluent-speaking .opencode/skills/fluent-speaking && 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 "fluent-speaking" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-speaking into .opencode/skills/fluent-speaking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-speaking", 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
fluent-speaking- GitHub stars
- 421
- Token cost
- ~1.6k tokens
- SKILL.md length
- 549 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- MIT
At a glance
Run an interactive typed conversation session simulating spoken practice — free-flowing dialogue, role-plays, and opinion questions prioritizing communication over perfect grammar.
- Works in 8 steps: Load context → Opening → Pick topic based on mastery → …
- Education work in your project
- SKILL.md covers Overview, When to Use, Instructions and Examples, plus 2 more sections
- Calls python3
What it does
Fluent Speaking is an agent skill from m98/fluent. Run an interactive typed conversation session simulating spoken practice — free-flowing dialogue, role-plays, and opinion questions prioritizing communication over perfect grammar. Triggered only when the learner types /fluent-speaking. Asks questions one at a time in the target language, evaluates clarity and naturalness first and grammar second, and updates all databases at the end.
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 Education. The repository describes itself as: The AI Language Learning Kit for Claude Code and others. The licence is MIT.
When your agent uses it
- Education work in your project
Example prompts
- “/fluent-speaking”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read, Write, Bash
Workflow steps
8 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 86fb80f. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteBash
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
python3
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
Fluent Speaking loads about 1.6k tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 549 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Write, Bash
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 m98/fluent at commit 86fb80f, republished under its MIT licence (© m98). 549 words, ~1,642 tokens.
Download SKILL.mdSave it as
.claude/skills/fluent-speaking/SKILL.md (or your agent's skills folder).- name
- fluent-speaking
- description
- Run an interactive typed conversation session simulating spoken practice — free-flowing dialogue, role-plays, and opinion questions prioritizing communication over perfect grammar. Triggered only when the learner types /fluent-speaking. Asks questions one at a time in the target language, evaluates clarity and naturalness first and grammar second, and updates all databases at the end.
- allowed-tools
- Read, Write, Bash
- disable-model-invocation
- true
Speaking Practice (Typed)
Overview
Conversational practice through typed dialogue. Unlike /fluent-writing, prioritize communication and naturalness — grammar errors that don't block meaning are downplayed. Goal: build the learner's confidence to produce target-language output without over-analyzing.
When to Use
Trigger this skill only when the learner types /fluent-speaking. The skill is gated with disable-model-invocation: true — 15-20 min interactive session with DB writes should never start from an ambiguous prompt.
Skip this skill below A1 mastery 2 — the learner needs a basic word bank and verb conjugations first (run /fluent-vocab a few times).
Instructions
1. Load context
python3 "${CLAUDE_PLUGIN_ROOT:-${CLAUDE_PROJECT_DIR:-.}}/.claude/hooks/read-db.py"Need: learner-profile (level, target language), mastery-db.skills_mastery.speaking.
2. Opening
# 🗣️ {target_language} Speaking Practice
Hallo {name}!
Today we're practicing **speaking** through typed conversation. I'll ask you questions or give scenarios, you respond naturally in {target_language} — just like a real conversation.
**Focus:** natural expression, fluency, pronunciation (typed)
**Level:** {CEFR}
**Duration:** 15-20 min
**Tips:**
- Think in {target_language}, not {native_language}
- Don't chase perfect grammar — focus on getting your message across
- Use complete sentences
- Be natural and conversational
**Ready? Let's chat!** 💬3. Pick topic based on mastery
A2 topics:
- Personal introductions
- Daily routine
- Hobbies and interests
- Shopping
- Making appointments
- Asking for directions
- Ordering food
- Talking about weather
- Weekend plans
- Work / study
B1+: opinions, comparisons, hypotheticals, complaints, narratives.
4. One question at a time
## Question {N}: {Topic}
{Question in target language}
**Type your answer in {target_language}:**Build the conversation naturally — after 3-4 Qs on one topic, transition: Interessant! Let's talk about something else....
5. Evaluate
Check in this order:
- Communication (most important, 0-5 points): was the message clear? Did it answer the question?
- Grammar (0-3 points): verb conjugation, word order, articles. Note but don't belabor.
- Vocabulary (0-2 points): appropriate word choice, no English mixing.
Feedback template (variant of fluent-feedback-formatter):
{✅ or 🟡} {one-line encouragement}
**What you said:**
"{their_answer}"
**Communication:** {Clear / Mostly clear / Unclear} ✅
**Grammar notes:** (secondary — don't over-focus)
- {major error → correction, only if communication-blocking}
**Natural alternative:**
You could also say: "{more_natural_phrasing}"
**Score: {X}/10**
- Communication: {Y}/5
- Grammar: {Z}/3
- Vocabulary: {W}/2
{encouragement}
---6. Role-play (advanced)
For B1+ or when the learner is warmed up:
## 🎭 Role-Play
**Scenario:** {description in native language}
**Your role:** {what the learner plays}
**I'll be:** {what Claude plays}
Ready? I'll start...
---
{first line in target language}
**Your turn:**7. Session summary
## 🎉 Speaking Session Complete!
**Duration:** {X} min
**Questions Answered:** {N}
**Topics Covered:** {list}
### Communication Scores
**Overall:** {percent}%
- Clear messages: {count}
- Natural expression: {rating}/5
- Confidence: Growing! 💪
### Vocabulary Used Well
- {words}
### For Next Time
- Try using: {new phrase}
- Practice: {weak area}
**{target-language well done}!** 🌟8. Update all databases
Use the fluent-db-updater skill:
command_used: "/fluent-speaking",skills_practiced: ["speaking"]skill_scores.speaking: {exercises: N, correct: count_of_clear_answers, time_minutes}errors[]— only communication-blocking ones (don't flood mistakes-db with minor speaking slips)focus_next_session[]— one topic + one pattern
Save exchange to /results/fluent-speaking-session-{NNN}.md.
Examples
Show full SKILL.md (275 more words)Show less
Example 1 — personal intro (Dutch A2)
Question 1: Introductions
Vertel me over jezelf. Waar kom je vandaan? (Tell me about yourself. Where are you from?)
Learner: "Ik ben Mohammad. Ik kom van Iran maar ik woon nu in Nederland."
✅ Clear and natural!
What you said: "Ik ben Mohammad. Ik kom van Iran maar ik woon nu in Nederland."
Communication: Clear ✅
Grammar notes:
- 🟢 "van Iran" → "uit Iran" (prepositions — origin uses
uit, notvan). Small slip; message still crystal clear.Natural alternative: "Ik kom uit Iran, maar ik woon al een paar jaar in Nederland."
Score: 9/10
- Communication: 5/5
- Grammar: 2/3
- Vocabulary: 2/2
Great start — you packed two ideas into one sentence, which is exactly what fluency looks like.
Example 2 — role-play opener (café scenario)
🎭 Role-Play
Scenario: You're at a café in Amsterdam. You want coffee and a vegetarian option for lunch. Your role: Customer I'll be: The server
"Goedemiddag! Wat wilt u drinken?"
Your turn:
Critical Rules
- Communication first. A clear message with a missed article scores better than a grammatically perfect but confusing answer.
- One question at a time. Wait for reply before next.
- Stay in the target language for questions and transitions. Drop to native only for explanations.
- Praise natural expression. If the learner uses "Nou..." or "Eh..." correctly, call it out — those are fluency markers.
- Don't over-correct. A speaking session with 20 red marks kills confidence.
- Never auto-invoke. Gated; must fire only on explicit
/fluent-speaking.
Language Reference
Dutch A2 conversational fillers
- "Nou..." (well / so)
- "Eh..." (uh / um)
- "Eigenlijk..." (actually)
- "Dus..." (so / therefore)
- "Ja, dat klopt" (yes, that's right)
- "Ik snap het niet" (I don't understand)
Add equivalents for other target languages as needed.
© m98, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/fluent-speaking of m98/fluent.
Open the folder on GitHubat commit 86fb80f
Compare with similar skills
Fluent Speaking 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 |
|---|---|---|---|---|---|---|
| Fluent Speaking this skillm98/fluent | 421 | — | ~1.6k | Automated safety check: Notes | MIT | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Zhang Xuefeng Perspectivealchaincyf/zhangxuefeng-skill | 10k | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Deep Reading Analystginobefun/deep-reading-analyst-skill | 353 | 5 repos | ~3.6k | Automated safety check: Pass | MIT | |
| AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch | 66k | — | ~2k | Automated safety check: Pass | MIT | |
| OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC | 40k | — | ~1.7k | Automated safety check: Notes | MIT |
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Related
Categories
Questions about Fluent Speaking
What does Fluent Speaking do?
Run an interactive typed conversation session simulating spoken practice — free-flowing dialogue, role-plays, and opinion questions prioritizing communication over perfect grammar. Fluent Speaking is an agent skill from m98/fluent. Run an interactive typed conversation session simulating spoken practice — free-flowing dialogue, role-plays, and opinion questions prioritizing communication over perfect grammar.
When should I use Fluent Speaking?
Fluent Speaking fits situations like: education work in your project.
How do I install Fluent Speaking in Claude Code?
Run `npx skills add m98/fluent --skill fluent-speaking -a claude-code`. Or copy the skill folder (.claude/skills/fluent-speaking in m98/fluent) into .claude/skills/fluent-speaking in your project. Claude Code loads it when a task matches its description.
How do I install Fluent Speaking in Codex?
Run `npx skills add m98/fluent --skill fluent-speaking -a codex`. Or copy the skill folder (.claude/skills/fluent-speaking in m98/fluent) into .agents/skills/fluent-speaking in your project. Codex loads it when a task matches its description.
Can I use Fluent Speaking 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 m98/fluent --skill fluent-speaking -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fluent-speaking, .gemini/skills/fluent-speaking, .github/skills/fluent-speaking and .opencode/skills/fluent-speaking in your project.
What does Fluent Speaking need to run?
Going by SKILL.md and its folder, Fluent Speaking needs the command-line tools its instructions call (python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Bash.
Does Fluent Speaking 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 Fluent Speaking safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Fluent Speaking use?
Fluent Speaking 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 Fluent Speaking use?
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.
What are the alternatives to Fluent Speaking?
Skills that share tags, products or a category with Fluent Speaking: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), Zhang Xuefeng Perspective (alchaincyf/zhangxuefeng-skill, 10k stars), Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 353 stars) and AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Fluent Speaking?
m98 (a GitHub user) maintains it in m98/fluent, which has 421 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on June 15, 2026.
Source: m98/fluent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.