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.
Parse Fluent /results/.md session files to extract error patterns, strengths, accuracy trends, and focus areas for the next session.
$ npx skills add m98/fluent --skill fluent-session-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install m98/fluent fluent-session-analyzer --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-session-analyzer .claude/skills/fluent-session-analyzer && 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-session-analyzer" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-session-analyzer into .claude/skills/fluent-session-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-session-analyzer", 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-session-analyzerType 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-session-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install m98/fluent fluent-session-analyzer --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-session-analyzer .agents/skills/fluent-session-analyzer && 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-session-analyzer" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-session-analyzer into .agents/skills/fluent-session-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-session-analyzer", 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-session-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install m98/fluent fluent-session-analyzer --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-session-analyzer .cursor/skills/fluent-session-analyzer && 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-session-analyzer" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-session-analyzer into .cursor/skills/fluent-session-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-session-analyzer", 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-session-analyzer--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-session-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install m98/fluent fluent-session-analyzer --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-session-analyzer .gemini/skills/fluent-session-analyzer && 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-session-analyzer" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-session-analyzer into .gemini/skills/fluent-session-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-session-analyzer", 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-session-analyzerInstalls 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-session-analyzer -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-session-analyzer .github/skills/fluent-session-analyzer && 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-session-analyzer" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-session-analyzer into .github/skills/fluent-session-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-session-analyzer", 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-session-analyzer -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-session-analyzer --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-session-analyzer .opencode/skills/fluent-session-analyzer && 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-session-analyzer" agent skill from https://github.com/m98/fluent/tree/main/.claude/skills/fluent-session-analyzer into .opencode/skills/fluent-session-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fluent-session-analyzer", 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-session-analyzerParse Fluent /results/.md session files to extract error patterns, strengths, accuracy trends, and focus areas for the next session.
Fluent Session Analyzer is an agent skill from m98/fluent. Parse Fluent /results/.md session files to extract error patterns, strengths, accuracy trends, and focus areas for the next session. Use when the tutor needs to analyze the learner's recent performance — planning the next lesson, recommending focus areas, or answering "what should I practice next?".
Its SKILL.md is about 1.3k 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.
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 nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From 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 Session Analyzer loads about 1.3k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 415 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 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.
The full file from m98/fluent at commit 86fb80f, republished under its MIT licence (© m98). 415 words, ~1,321 tokens.
.claude/skills/fluent-session-analyzer/SKILL.md (or your agent's skills folder).Every practice session writes a markdown report to /results/{skill}-session-{ID}.md (e.g. writing-session-012.md). This skill describes how to read those files to plan adaptive follow-up practice. Use it when the tutor needs narrative context the JSON databases don't capture — the exact sentence the learner wrote, the scenario, the feedback they received.
Load this skill whenever the tutor:
/fluent-learn, /fluent-writing, etc.Skip this skill when aggregated JSON numbers are enough — prefer read-db.py for counts, trends, and mastery levels. Use this skill only when the textual context matters.
/results/{skill}-session-{ID}.mdFile naming: {skill}-session-{NNN}.md keeps files grouped by skill + chronological by ID. Read the most recent 3-5 files of the relevant skill; don't re-read the entire history.
Scan for ❌ markers. Each correction has:
Count frequency per pattern across recent files:
Scan for ✅ markers and scores ≥ 7/10. Note consistent correct usage — these are reinforcement targets, not drill targets.
Across sessions, track:
Based on the analysis:
Plan template:
## Session {N} Plan ({X} min)
**Top 3 Weaknesses:**
1. {pattern} — {count} occurrences, severity {emoji}
2. ...
**Strengths to Reinforce:**
- {skill}
**Drill Sequence:**
1. Warm-up ({x} min) — quick wins on known patterns
2. Targeted drill 1 ({y} min) — focus on weakness #1
3. Targeted drill 2 ({y} min) — focus on weakness #2
4. Mixed integration ({z} min) — combine all patterns
5. Full scenario ({w} min) — exam-style taskUse recent session accuracy to tune today's difficulty:
## Error Pattern Summary (last 3 sessions)
| Category | Pattern | Session Count | Total Count | Severity | Example |
|----------|---------|---------------|-------------|----------|---------|
| formal_informal | Using "je" in formal context | 2 | 5 | 🔴 | "Ik schrijf je" → "Ik schrijf u" |
| grammar | Wrong "omdat" clause order | 1 | 3 | 🟡 | "omdat ik kan niet" → "omdat ik niet kan" |
| prepositions | "om" vs "op" | 2 | 4 | 🟡 | "op 10:00 uur" → "om 10:00 uur" |## Trajectory (writing, last 3)
| Session | Date | Accuracy | Critical | Moderate | Minor |
|---------|------|----------|----------|----------|-------|
| 010 | 2026-04-20 | 60% | 3 | 4 | 2 |
| 011 | 2026-04-22 | 68% | 2 | 3 | 3 |
| 012 | 2026-04-23 | 74% | 1 | 2 | 3 |
Trend: accuracy rising ~7% per session. Critical errors halving each session — keep the focus on formal_informal + omdat clauses.
## Next Session Plan (20 min)
**Top weaknesses:** formal_informal (5 occurrences total), omdat word order (3).
**Strength:** vocabulary recall on household nouns.
1. Warm-up (3 min) — 5 quick household-noun recognition drills.
2. Targeted drill 1 (7 min) — 5 formal-email sentence completions forcing "u".
3. Targeted drill 2 (5 min) — 4 omdat-clause reorderings.
4. Integration (5 min) — write a 40-word formal email combining both patterns./results/ markdown for context. Use read-db.py for numerical summaries — don't reimplement counts by re-parsing markdown when the DB already has them.mistakes-db.json mastery levels./results/ files. They are immutable records. Planning only.Pattern analysis turns raw session records into an adaptive curriculum. Without it, every session looks the same regardless of progress. With it, tomorrow's drills target yesterday's weakest spots — that's the whole point of the system.
© 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-session-analyzer of m98/fluent.
Open the folder on GitHubat commit 86fb80f
Fluent Session Analyzer 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 Session Analyzer this skillm98/fluent | 420 | — | ~1.3k | Automated safety check: Pass | MIT | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.3k | 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 | 65k | — | ~2k | Automated safety check: Pass | MIT | |
| OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC | 40k | — | ~1.7k | Automated safety check: Notes | MIT |
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.
alchaincyf/zhangxuefeng-skill
Answers education and career questions in the voice of Zhang Xuefeng, looking up current employment and admissions data before giving a direct verdict.
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…
rohitg00/ai-engineering-from-scratch
Runs a 10-question quiz across five areas to place a learner in the AI Engineering from Scratch curriculum, so they skip what they already know.
THU-MAIC/OpenMAIC
Guides setup, classroom generation and secondary development for OpenMAIC, the multi-agent interactive classroom, one confirmed phase at a time.
zarazhangrui/codebase-to-course
Turns a codebase into an interactive single-page HTML course for non-technical learners, with scroll modules, animated diagrams, quizzes and plain-English code translations.
m98/fluent
Show the learner's language learning progress, statistics, mastery levels, streak, and achievements.
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.
m98/fluent
Run an interactive reading comprehension session with a short target-language text followed by main-idea, detail, vocabulary-in-context, inference, and true/false questions.
Categories
Parse Fluent /results/.md session files to extract error patterns, strengths, accuracy trends, and focus areas for the next session. Fluent Session Analyzer is an agent skill from m98/fluent.md session files to extract error patterns, strengths, accuracy trends, and focus areas for the next session.
Fluent Session Analyzer fits situations like: the tutor needs to analyze the learners recent performance — planning the next lesson; recommending focus areas; answering what should I practice next?.
Run `npx skills add m98/fluent --skill fluent-session-analyzer -a claude-code`. Or copy the skill folder (.claude/skills/fluent-session-analyzer in m98/fluent) into .claude/skills/fluent-session-analyzer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add m98/fluent --skill fluent-session-analyzer -a codex`. Or copy the skill folder (.claude/skills/fluent-session-analyzer in m98/fluent) into .agents/skills/fluent-session-analyzer 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-session-analyzer -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-session-analyzer, .gemini/skills/fluent-session-analyzer, .github/skills/fluent-session-analyzer and .opencode/skills/fluent-session-analyzer in your project.
SKILL.md names no scripts, command-line tools or credentials: Fluent Session Analyzer is instructions for the agent only.
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 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.
Fluent Session Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.3k 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 Session Analyzer: 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, 65k 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 420 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.