Agent skill

Fluent Session Analyzer

by m98 in m98/fluent

Parse Fluent /results/.md session files to extract error patterns, strengths, accuracy trends, and focus areas for the next session.

MITAuto-check passedEducation

Install Fluent Session Analyzer

skills CLI
$ npx skills add m98/fluent --skill fluent-session-analyzer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install m98/fluent fluent-session-analyzer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
fluent-session-analyzer
GitHub stars
420
Token cost
~1.3k tokens
SKILL.md length
415 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

Parse Fluent /results/.md session files to extract error patterns, strengths, accuracy trends, and focus areas for the next session.

  • Works in 6 steps: Find recent session files → Extract error patterns → Extract strengths → …
  • The tutor needs to analyze the learners recent performance — planning the next lesson
  • SKILL.md covers Overview, When to Use, Instructions and Examples, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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.

When your agent uses it

  • The tutor needs to analyze the learners recent performance — planning the next lesson
  • Recommending focus areas
  • Answering what should I practice next?

Example prompts

  • “what should I practice next?”
  • “/fluent-session-analyzer”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Find recent session files
  2. Extract error patterns
  3. Extract strengths
  4. Track trajectory
  5. Plan the next session
  6. Tune difficulty

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 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

    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.

  • 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 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.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from m98/fluent at commit 86fb80f, republished under its MIT licence (© m98). 415 words, ~1,321 tokens.

Download SKILL.mdSave it as .claude/skills/fluent-session-analyzer/SKILL.md (or your agent's skills folder).
name
fluent-session-analyzer
description
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?".

Session Analyzer

Overview

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.

When to Use

Load this skill whenever the tutor:

  • Plans today's focus before /fluent-learn, /fluent-writing, etc.
  • Answers the learner's question "what's my weakest area" or "what should I work on".
  • Generates the next session plan.

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.

Instructions

1. Find recent session files
/results/{skill}-session-{ID}.md

File 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.

2. Extract error patterns

Scan for ❌ markers. Each correction has:

  • The wrong form ("Your answer")
  • The correct form
  • A category (grammar, formal_informal, vocabulary, prepositions, articles, spelling, missing)
  • A severity (🔴 critical, 🟡 moderate, 🟢 minor)

Count frequency per pattern across recent files:

  • 1 occurrence — possibly a typo, ignore
  • 2-3 — emerging pattern, worth drilling
  • 4+ — critical weakness, highest priority
3. Extract strengths

Scan for ✅ markers and scores ≥ 7/10. Note consistent correct usage — these are reinforcement targets, not drill targets.

4. Track trajectory

Across sessions, track:

  • Overall accuracy per session
  • Critical vs moderate vs minor error counts
  • Writing speed (words per minute, if tracked)
Show full SKILL.md (171 more words)Show less
5. Plan the next session

Based on the analysis:

  1. Top 3 critical weaknesses (highest frequency + severity) → 50% of session time.
  2. Top 2 moderate patterns → 30% of session time.
  3. One full integration scenario → 20% of session time.

Plan template:

markdown
## 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 task
6. Tune difficulty

Use recent session accuracy to tune today's difficulty:

  • <50% → simplify, add scaffolding, smaller chunks
  • 50-70% → correct zone, keep going
  • >70% → raise difficulty, introduce new patterns

Examples

Example 1 — error summary table
markdown
## 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" |
Example 2 — trajectory + plan
markdown
## 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.

Critical Rules

  • Read /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.
  • Cap the look-back window. 3-5 recent sessions for the relevant skill. Older data is already baked into mistakes-db.json mastery levels.
  • Never alter /results/ files. They are immutable records. Planning only.

Why This Matters

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

Files

Just SKILL.md in .claude/skills/fluent-session-analyzer of m98/fluent.

Open the folder on GitHubat commit 86fb80f

Compare with similar skills

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.

Fluent Session Analyzer compared with similar skills
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Zhang Xuefeng Perspectivealchaincyf/zhangxuefeng-skill10k1 repos~2.6kAutomated safety check: PassMIT
Deep Reading Analystginobefun/deep-reading-analyst-skill3535 repos~3.6kAutomated safety check: PassMIT
AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch65k—~2kAutomated safety check: PassMIT
OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC40k—~1.7kAutomated safety check: NotesMIT

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Categories

Questions about Fluent Session Analyzer

What does Fluent Session Analyzer do?

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.

When should I use Fluent Session Analyzer?

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?.

How do I install Fluent Session Analyzer in Claude Code?

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.

How do I install Fluent Session Analyzer in Codex?

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.

Can I use Fluent Session Analyzer 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-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.

What does Fluent Session Analyzer need to run?

SKILL.md names no scripts, command-line tools or credentials: Fluent Session Analyzer is instructions for the agent only.

Does Fluent Session Analyzer 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 Session Analyzer 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. Review the folder before installing.

What licence does Fluent Session Analyzer use?

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.

How many tokens does Fluent Session Analyzer use?

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.

What are the alternatives to Fluent Session Analyzer?

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.

Who maintains Fluent Session Analyzer?

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.