Run today's spaced-repetition review queue — items scheduled by SM-2 that need reinforcement before the learner forgets them.
$ npx skills add m98/fluent --skill fluent-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install m98/fluent fluent-review --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-review .claude/skills/fluent-review && 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-review" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-review into .claude/skills/fluent-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-review", 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-reviewType 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-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install m98/fluent fluent-review --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-review .agents/skills/fluent-review && 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-review" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-review into .agents/skills/fluent-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-review", 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-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install m98/fluent fluent-review --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-review .cursor/skills/fluent-review && 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-review" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-review into .cursor/skills/fluent-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-review", 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-review--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-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install m98/fluent fluent-review --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-review .gemini/skills/fluent-review && 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-review" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-review into .gemini/skills/fluent-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-review", 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-reviewInstalls 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-review -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-review .github/skills/fluent-review && 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-review" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-review into .github/skills/fluent-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-review", 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-review -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-review --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-review .opencode/skills/fluent-review && 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-review" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-review into .opencode/skills/fluent-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-review", 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-reviewRun today's spaced-repetition review queue — items scheduled by SM-2 that need reinforcement before the learner forgets them.
Fluent Review is an agent skill from m98/fluent. Run today's spaced-repetition review queue — items scheduled by SM-2 that need reinforcement before the learner forgets them. Triggered only when the learner types /fluent-review. Pulls due items from spaced-repetition.reviewqueue.today, generates a targeted exercise for each, evaluates the response, updates SM-2 parameters, and reshelves items into the correct future queue.
Its SKILL.md is about 1.7k 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 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.
7 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 Review loads about 1.7k tokens when it runs. Until then it costs about 98 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.
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). 549 words, ~1,665 tokens.
.claude/skills/fluent-review/SKILL.md (or your agent's skills folder).Replay items the learner learned before, timed so they hit just before the forgetting curve drops them. This is the single most effective session type — the system depends on it running daily. Items the learner gets right get pushed further into the future; items they miss come back tomorrow.
Trigger this skill only when the learner types /fluent-review. The skill is gated with disable-model-invocation: true — mutating SM-2 state from a misread prompt would cascade through every future session.
Skip this skill when the queue is empty — suggest /fluent-vocab or /fluent-learn instead.
python3 "${CLAUDE_PLUGIN_ROOT:-${CLAUDE_PROJECT_DIR:-.}}/.claude/hooks/read-db.py"Read spaced-repetition.review_queue.today and daily_limits.review_items_per_day. Sort items by priority (critical → high → medium → low). Cap at the daily limit (usually 20).
If the queue is empty:
🎉 No reviews due today! Your spaced repetition is up to date.
Want to practice something new? Try:
- `/fluent-learn` — adaptive mixed practice
- `/fluent-vocab` — learn new words
- `/fluent-progress` — see your stats# 🔄 Today's Spaced Repetition Review
Hallo {name}! Time to review items your brain is about to forget. This keeps everything fresh. 🧠
**Items Due Today:** {count}
**Estimated Time:** ~{minutes} min
Why review? Spaced repetition prevents forgetting, moves items into long-term memory, and builds automaticity.
**Ready? Let's start!** 💪Each item has:
{
"item_id": "...",
"item_type": "error_pattern | vocabulary | grammar_rule",
"easiness_factor": 2.5,
"interval_days": 6,
"repetitions": 2,
"due_date": "YYYY-MM-DD",
"priority": "critical | high | medium | low",
"content": "...",
"answer": "..."
}Generate an exercise matched to item_type:
mistakes-db, create a scenario that forces the correct form. E.g. formal_informal_confusion → ask the learner to complete a formal email opening.Present one at a time:
## Review {N}/{total} — {priority emoji}
**Type:** {item_type}
**Last reviewed:** {X} days ago
**Current mastery:** {stars}
{exercise}
**Type your answer:**Use the fluent-feedback-formatter skill for per-answer feedback.
Then stage the item for the end-of-session update. Do NOT hand-edit spaced-repetition.json — use review_results[] in the fluent-db-updater payload:
{ "item_id": "vocab_huis", "quality": 4 }The update-db.py script runs the SM-2 math (see fluent-sm2-calculator skill) and rebuilds the queue. Mapping: quality = floor(score / 2).
## Progress Update
**Reviewed:** {N}/{total}
**Accuracy:** {percent}%
**Time Remaining:** ~{min} min
Keep going! 💪## 🎉 Review Session Complete!
**Reviewed:** {count}
**Accuracy:** {percent}%
**Time:** {min} min
### Breakdown
**Mastered (no mistakes):** {count} — won't appear again for a while 🎉
**Good (minor slips):** {count} — next in {X} days
**Need more practice:** {count} — tomorrow again
### Next Review Schedule
- Tomorrow: {count}
- This week: {count}
- Next week: {count}
**Streak:** 🔥 {X} {day/days} 🔥
**Tip:** {one line of advice based on accuracy}
{target-language well done}! 🌟Use the fluent-db-updater skill:
command_used: "/fluent-review", skills_practiced: [derived from reviewed items]skill_scores — aggregate per skill touchedreview_results[] — every item reviewed, with qualityerrors[] — only patterns where the learner got it wrong (bumps frequency)focus_next_session[] — the 2-3 items with lowest quality this sessionSave exchange to /results/fluent-review-session-{NNN}.md for later analysis.
Review 3/12 — 🔴
Type: vocabulary Last reviewed: 6 days ago Current mastery: ⭐⭐⭐☆☆
Dutch: het raam
What does it mean in English?
Learner: "the door"
❌ Close — those are both openings in a wall, but not the same.
Corrections:
- 🟡 "the door" → "the window" (vocabulary —
het raamis window;de deuris door)Correct version: "het raam" = the window.
Score: 3/10 💪 Easy to mix — we'll review this again soon.
(Logged:
review_results[]item quality=1 →interval_days=1, repetitions=0, stays in today's queue.)
Review 7/12 — 🟡
Type: grammar_rule Last reviewed: 14 days ago Current mastery: ⭐⭐⭐⭐☆
Complete: "Ik schrijf u omdat ik ____ kan komen." (reason: can't come)
Learner: "niet"
✅ Perfect — omdat-clause word order locked in.
Answer: "Ik schrijf u omdat ik niet kan komen."
Score: 10/10 🎯
(Logged: quality=5 →
interval_days = round(14 * EF), queue:later.consecutive_correct= 5, mastery → 5 ⭐⭐⭐⭐⭐.)
/fluent-review every day. Missing a day breaks the intended spacing./fluent-review. Long interactive + SM-2 mutation.spaced-repetition.json. Queue is rebuilt on every update-db.py call.Tell the learner if they ask:
© 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-review of m98/fluent.
Open the folder on GitHubat commit 86fb80f
Fluent Review 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 Review this skillm98/fluent | 421 | — | ~1.7k | 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 today's spaced-repetition review queue — items scheduled by SM-2 that need reinforcement before the learner forgets them. Fluent Review is an agent skill from m98/fluent. Run today's spaced-repetition review queue — items scheduled by SM-2 that need reinforcement before the learner forgets them.
Fluent Review fits situations like: tasks that involve Study guides and flashcards.
Run `npx skills add m98/fluent --skill fluent-review -a claude-code`. Or copy the skill folder (.claude/skills/fluent-review in m98/fluent) into .claude/skills/fluent-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add m98/fluent --skill fluent-review -a codex`. Or copy the skill folder (.claude/skills/fluent-review in m98/fluent) into .agents/skills/fluent-review 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-review -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-review, .gemini/skills/fluent-review, .github/skills/fluent-review and .opencode/skills/fluent-review in your project.
Going by SKILL.md and its folder, Fluent Review 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 Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Review: 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.
