Run an interactive vocabulary drill session with flashcard-style prompts, spaced repetition, and per-answer feedback.
$ npx skills add m98/fluent --skill fluent-vocab -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install m98/fluent fluent-vocab --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-vocab .claude/skills/fluent-vocab && 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-vocab" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-vocab into .claude/skills/fluent-vocab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-vocab", 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-vocabType 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-vocab -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install m98/fluent fluent-vocab --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-vocab .agents/skills/fluent-vocab && 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-vocab" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-vocab into .agents/skills/fluent-vocab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-vocab", 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-vocab -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install m98/fluent fluent-vocab --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-vocab .cursor/skills/fluent-vocab && 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-vocab" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-vocab into .cursor/skills/fluent-vocab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-vocab", 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-vocab--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-vocab -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install m98/fluent fluent-vocab --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-vocab .gemini/skills/fluent-vocab && 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-vocab" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-vocab into .gemini/skills/fluent-vocab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-vocab", 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-vocabInstalls 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-vocab -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-vocab .github/skills/fluent-vocab && 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-vocab" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-vocab into .github/skills/fluent-vocab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-vocab", 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-vocab -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-vocab --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-vocab .opencode/skills/fluent-vocab && 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-vocab" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-vocab into .opencode/skills/fluent-vocab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-vocab", 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.
fluent-vocabRun an interactive vocabulary drill session with flashcard-style prompts, spaced repetition, and per-answer feedback.
Fluent Vocab is an agent skill from m98/fluent. Run an interactive vocabulary drill session with flashcard-style prompts, spaced repetition, and per-answer feedback. Triggered only when the learner types /fluent-vocab. Reads spaced-repetition / mistakes / mastery DBs to pick words, presents one word at a time, scores each answer, and calls fluent-db-updater at the end.
Its SKILL.md is about 1.4k 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, covering Study guides and flashcards. The repository describes itself as: The AI Language Learning Kit for Claude Code and others. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 86fb80f. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteBashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Fluent Vocab loads about 1.4k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 540 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, BashAutomated 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.
The full file from m98/fluent at commit 86fb80f, republished under its MIT licence (© m98). 540 words, ~1,435 tokens.
.claude/skills/fluent-vocab/SKILL.md (or your agent's skills folder).Flashcard-style vocabulary practice using spaced repetition. One word at a time, immediate feedback, DB update at the end. Interleaves three modes (recognition, production, cloze) to force active recall rather than passive re-reading.
Trigger this skill only when the learner types /fluent-vocab. The skill is gated with disable-model-invocation: true — a false-positive auto-trigger would launch a 15-min interactive session and mutate 6 JSON databases. Not worth the risk.
Skip this skill if no vocabulary items are due and no new words are queued — offer /fluent-review or /fluent-learn instead.
python3 "${CLAUDE_PLUGIN_ROOT:-${CLAUDE_PROJECT_DIR:-.}}/.claude/hooks/read-db.py"If the helper is unavailable, resolve <data_dir> via fluent_paths.data_dir() then read:
<data_dir>/spaced-repetition.json<data_dir>/mistakes-db.json<data_dir>/mastery-db.json<data_dir>/learner-profile.json (for target_language, name, level)If any are missing, direct the learner to /fluent-setup and stop.
Priority order:
spaced-repetition.review_queue.today with item_type == "vocabulary".mistakes-db.json where category == "vocabulary" and mastery_level <= 2.learner-profile.focus_areas.Limit: spaced-repetition.daily_limits.review_items_per_day (default 20).
Rotate the three modes so the session is not monotonous.
Recognition (target_language → native):
## Word {N}/{total}
**{target_language}:** {word}
**Context:** {example_sentence}
**What does it mean in {native_language}?**
**Type your answer:**Production (native → target_language):
## Word {N}/{total}
**{native_language}:** {word}
**Use it in a sentence (optional).**
**How do you say this in {target_language}?**
**Type your answer:**Cloze (fill in the blank):
## Word {N}/{total}
**Complete the sentence:**
{target_language sentence with _____ where the word goes}
**Type the missing word:**Use the fluent-feedback-formatter skill's template. Score out of 10, tag severity.
Track the answer for the end-of-session DB update:
review_results[] with quality = floor(score / 2) (see fluent-sm2-calculator skill).new_vocabulary[].errors[].Do not call update-db.py after every word — batch at session end.
## 📚 Vocabulary Session Complete!
**Words Reviewed:** {N}
**Accuracy:** {X}%
**New Words Learned:** {Y}
**Words Mastered (→ level 5):** {Z}
**Strong:** {list words with mastery 4-5}
**Need more practice:** {list words with mastery 0-2}
**Next review:**
- Tomorrow: {count} words
- This week: {count} words
{target-language "well done"}! 🌟Call the fluent-db-updater skill's workflow — one update-db.py invocation with:
session_id, date, duration_minutescommand_used: "/fluent-vocab"skills_practiced: ["vocabulary"]skill_scores.vocabulary: {exercises, correct, time_minutes}errors[], new_vocabulary[], review_results[] collected during the sessionfocus_next_session[] — top 2-3 weak wordsWord 1/15
Dutch: de keuken
Context: "De keuken is klein maar mooi."
What does it mean in English?
Type your answer:
Learner: "the kitchen"
✅ Exactly.
Answer: the kitchen Meaning: A room used for cooking and food preparation. Example: "De keuken is klein maar mooi." (The kitchen is small but pretty.)
Score: 10/10 🎯
Word 7/15
English: to write
How do you say this in Dutch?
Learner: "schrijven"
✅ Correct — infinitive form.
Now: can you also give the first-person present? (I write → …)
📚 Vocabulary Session Complete!
Words Reviewed: 15 Accuracy: 80% (12/15) New Words Learned: 3 Words Mastered: 1
Need more practice: de sleutel, het raam, gisteren
Next review: Tomorrow 4 words, this week 8 words.
Goed gedaan! 🌟
fluent-feedback-formatter./fluent-vocab.© m98, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/fluent-vocab of m98/fluent.
Open the folder on GitHubat commit 86fb80f
Fluent Vocab 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 Vocab this skillm98/fluent | 421 | — | ~1.4k | Automated safety check: Notes | MIT | |
| Deep Reading Analystginobefun/deep-reading-analyst-skill | 353 | 4 repos | ~3.6k | Automated safety check: Pass | MIT | |
| NihaishaJuneYaooo/nihaisha-nishi-tcm | 2.2k | — | ~4k | Automated safety check: Pass | None | |
| Claude Certification Tutorrohitg00/ai-engineering-from-scratch | 66k | — | ~3k | Automated safety check: Pass | MIT | |
| StudyVault Quiz Tutorbevibing/tutor-skills | 1.3k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Project Mastery Coachtudoumashu/ai-memory-skillpack | 443 | — | ~1.8k | Automated safety check: Pass | MIT |
ginobefun/deep-reading-analyst-skill
Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems…
JuneYaooo/nihaisha-nishi-tcm
A skill your agent uses when the user asks about Ni Haisha / 倪海厦 TCM course material, especially Shang Han Lun / 伤寒论, Jingui / 金匮要略, Zhongjing Xinfa / 仲景心法, clinical cases / 临床案例 / 倪师医案, Bagang…
rohitg00/ai-engineering-from-scratch
Guides a learner through one of four independent Claude certification tracks with onboarding, lessons, practice labs, mock exams and remediation.
bevibing/tutor-skills
Quizzes you on the notes in an Obsidian StudyVault, tracks proficiency per concept and drills weak areas in four-question rounds.
tudoumashu/ai-memory-skillpack
Train strict project ownership from repo-local docs/ai memory and central LLM Wiki project entities.
lijigang/ljg-skills
Turns a named classical Chinese chapter, such as one from the Tao Te Ching or the Analects, into a single annotated PNG image with notes and commentary.
m98/fluent
Show the learner's language learning progress, statistics, mastery levels, streak, and achievements.
m98/fluent
Parse Fluent /results/.md session files to extract error patterns, strengths, accuracy trends, and focus areas for the next session.
m98/fluent
SM-2 spaced-repetition algorithm reference for the Fluent language learning system.
m98/fluent
Atomically update all 6 Fluent learner databases (learner-profile, progress, mistakes, mastery, spaced-repetition, session-log) at session end by calling .claude/hooks/update-db.py with a single…
m98/fluent
Canonical feedback template for every learner answer in the Fluent system — celebrate correct parts, correct mistakes with category and brief explanation, show the full correct version, score out of…
m98/fluent
Main adaptive language-learning session that mixes skills (writing, speaking, vocabulary, reading) and exercise types based on the learner's current level, weak patterns, and due reviews.
Categories
Run an interactive vocabulary drill session with flashcard-style prompts, spaced repetition, and per-answer feedback. Fluent Vocab is an agent skill from m98/fluent. Run an interactive vocabulary drill session with flashcard-style prompts, spaced repetition, and per-answer feedback.
Fluent Vocab fits situations like: tasks that involve Study guides and flashcards.
Run `npx skills add m98/fluent --skill fluent-vocab -a claude-code`. Or copy the skill folder (.claude/skills/fluent-vocab in m98/fluent) into .claude/skills/fluent-vocab in your project. Claude Code loads it when a task matches its description.
Run `npx skills add m98/fluent --skill fluent-vocab -a codex`. Or copy the skill folder (.claude/skills/fluent-vocab in m98/fluent) into .agents/skills/fluent-vocab in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add m98/fluent --skill fluent-vocab -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-vocab, .gemini/skills/fluent-vocab, .github/skills/fluent-vocab and .opencode/skills/fluent-vocab in your project.
Going by SKILL.md and its folder, Fluent Vocab needs the command-line tools its instructions call (python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Bash.
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.
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.
Fluent Vocab is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Fluent Vocab: Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 353 stars), Nihaisha (JuneYaooo/nihaisha-nishi-tcm, 2.2k stars), Claude Certification Tutor (rohitg00/ai-engineering-from-scratch, 66k stars) and StudyVault Quiz Tutor (bevibing/tutor-skills, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.
