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.
Analyzes raw lecture transcripts for verbal tics, pacing, time use and promise follow-through, with optional slide-by-slide comparison and cross-session tracking.
SKILL.md written in Chinese; this summary is our English description.
Install Lecture Performance Review
$ npx skills add cat-xierluo/legal-skills --skill lecture-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cat-xierluo/legal-skills lecture-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/cat-xierluo/legal-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lecture-review .claude/skills/lecture-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 "lecture-review" agent skill from https://github.com/cat-xierluo/legal-skills/tree/main/skills/lecture-review into .claude/skills/lecture-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lecture-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/cat-xierluo/legal-skills/tree/main/skills/lecture-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 cat-xierluo/legal-skills --skill lecture-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cat-xierluo/legal-skills lecture-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cat-xierluo/legal-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lecture-review .agents/skills/lecture-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 "lecture-review" agent skill from https://github.com/cat-xierluo/legal-skills/tree/main/skills/lecture-review into .agents/skills/lecture-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lecture-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 cat-xierluo/legal-skills --skill lecture-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cat-xierluo/legal-skills lecture-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cat-xierluo/legal-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lecture-review .cursor/skills/lecture-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 "lecture-review" agent skill from https://github.com/cat-xierluo/legal-skills/tree/main/skills/lecture-review into .cursor/skills/lecture-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lecture-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/cat-xierluo/legal-skills.git --path skills/lecture-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 cat-xierluo/legal-skills --skill lecture-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cat-xierluo/legal-skills lecture-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cat-xierluo/legal-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lecture-review .gemini/skills/lecture-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 "lecture-review" agent skill from https://github.com/cat-xierluo/legal-skills/tree/main/skills/lecture-review into .gemini/skills/lecture-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lecture-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 cat-xierluo/legal-skills lecture-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 cat-xierluo/legal-skills --skill lecture-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/cat-xierluo/legal-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lecture-review .github/skills/lecture-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 "lecture-review" agent skill from https://github.com/cat-xierluo/legal-skills/tree/main/skills/lecture-review into .github/skills/lecture-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lecture-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 cat-xierluo/legal-skills --skill lecture-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 cat-xierluo/legal-skills lecture-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cat-xierluo/legal-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lecture-review .opencode/skills/lecture-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 "lecture-review" agent skill from https://github.com/cat-xierluo/legal-skills/tree/main/skills/lecture-review into .opencode/skills/lecture-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lecture-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.
Facts
- Skill name
lecture-review- GitHub stars
- 721
- Token cost
- ~2.2k tokens
- SKILL.md length
- 528 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 62
- Repo updated
- First seen
- Licence
- None found
At a glance
Analyzes raw lecture transcripts for verbal tics, pacing, time use and promise follow-through, with optional slide-by-slide comparison and cross-session tracking.
- Works in 8 steps: ：输入检查 → ：讲师隔离 + 基线数字 → ：通读与动态发现（主线） → …
- Reviewing your own lecture or training session from a transcript
- SKILL.md covers 概述, 依赖, 核心原则（不可妥协） and 工作流, plus 2 more sections
- Runs Python scripts from its folder; calls python3 and brew
What it does
The skill reviews a presenter's delivery from a raw transcript of a lecture, training session or talk. The main output is a list of verbal habits the speaker may not notice, with structure signals such as time allocation, promises kept and interaction as supporting context. It writes a seven-section report to an archive folder and appends to a speaker profile, so later sessions can be compared and earlier fixes rechecked.
Modes include the default single-session review, a deck comparison when a final slide file is available that maps slides to time and flags overloaded pages, an advanced course-structure review that runs only on explicit request and does assess the course design, cross-session comparison and a degraded mode when timestamps are missing. A Python script supplies every number, and the agent must read the whole transcript first and attach a quote with a timestamp to each finding.
Rules include accepting only raw transcripts, since corrected versions have had the tics removed, declaring that speech recognition drops filler sounds, judging expression and structure rather than content quality, and not treating limited interaction or operational noise as problems.
When your agent uses it
- Reviewing your own lecture or training session from a transcript
- Finding verbal tics and tracking whether they improve across sessions
- Comparing slides with what was actually taught
Example prompts
- “Review this lecture transcript and list my verbal tics with timestamps.”
- “Compare my slide deck with the transcript and show which slides I skipped.”
- “Did I fix the filler words flagged after my last session?”
Requirements
- Python 3.9 or later
- A raw transcript file, for example from Tingwu or FunASR
Workflow steps
8 steps, taken from the step headings in SKILL.md.
- ：输入检查
- ：讲师隔离 + 基线数字
- ：通读与动态发现（主线）
- ：量化验证
- ：结构信号（通读为主，脚本辅助）
- 5：课件对照（有定稿 deck 时；起源见 DECISIONS D6）
- ：报告 + 档案 + 归档
- （高级模式·显式触发）：课程结构复盘
What it can do on your machine
Read from SKILL.md and the folder at commit f844ebe. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3brew
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
Lecture Performance Review loads about 2.2k tokens when it runs, and up to ~5.7k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 528 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 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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 528 words (~2,156 tokens).
“通读 raw 转录稿，对主讲人做讲授表现诊断：表达层（口癖/节奏/句式）+ 结构信号（时间分配/承诺回收/互动）+ 课件对照（有定稿 deck 时：设计与交付的结构落差），跨场次沉淀讲师档案，形成「复盘 → 提醒 → 复查」的改进闭环。主用途（2026-09-11 用户校准）：帮讲者发现自己意识不到的口癖并跨场复查——口癖是主输出；时间分配/承诺/课件对照是辅助背景；互动与现场运营噪音只作事实记录（原则 7）。”
- name
- lecture-review
Files
SKILL.md and 6 other files (scripts, references) in skills/lecture-review of cat-xierluo/legal-skills.
- SKILL.md
- CHANGELOG.md
- archive/.gitkeep
- config/marker_words.example.yaml
- references/metrics.md
- references/structural-review-template.md
- scripts/analyze_stats.py
Open the folder on GitHubat commit f844ebe
Compare with similar skills
Lecture Performance 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 |
|---|---|---|---|---|---|---|
| Lecture Performance Review this skillcat-xierluo/legal-skills | 721 | — | ~2.2k | Automated safety check: Pass | None | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| AI Engineering Project Tutorrohitg00/ai-engineering-from-scratch | 67k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Modeling Paper Rubric and Model Selectoryushui2022/MathModel-Skill | 454 | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Generate Verifiers Envadithya-s-k/FineEnvs | 461 | 1 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Thesis CreatorStars-OC/thesis-creator | 230 | — | ~2.8k | Automated safety check: Pass | MIT |
Similar skills
AI Engineering Project Tutor
rohitg00/ai-engineering-from-scratch
Tutors a learner through one stage of a hands-on AI engineering project per session: lesson, prediction, code, grader run and reflection, with hints but never full solutions.
Modeling Paper Rubric and Model Selector
yushui2022/MathModel-Skill
Builds a scoring-aligned outline for a mathematical modeling paper and a model selection plan with baseline, improvement and validation experiments.
Generate Verifiers Env
adithya-s-k/FineEnvs
Builds a Verifiers (PrimeIntellect) variant of an RL environment.
Thesis Creator
Stars-OC/thesis-creator
Walks Chinese undergraduates through writing a graduation thesis from topic to Word export, with text-similarity reduction and AI-text rate rewriting and checks.
- Official
Claude Academy Guide
anthropics/skills
Adds a matching Claude Academy course, tutorial or use case to the end of an answer about learning to use Claude, but only when the match is strong.
More from cat-xierluo/legal-skills
All 62 skills in this repoElements-Style Complaint Generator
cat-xierluo/legal-skills
Converts a lawyer's ordinary complaint or a described case into the Supreme People's Court's elements-style Word template, with layout checks on the result.
De-AI Polish for Chinese Articles
cat-xierluo/legal-skills
Detects and rewrites machine-sounding patterns in the body text of Chinese articles while keeping the author's facts, headings and legal terms intact.
GitHub Star Manager
cat-xierluo/legal-skills
Finds GitHub projects mentioned in articles or screenshots and stars them, tracks updates to your starred repos, and builds an HTML dashboard to browse them.
Legal Harness Initializer
cat-xierluo/legal-skills
Sets up or incrementally updates AGENTS.md and CLAUDE.md for legal professionals, with a minimal safety baseline and a check that a new session loads and follows the rules.
Moot Court Simulation Builder
cat-xierluo/legal-skills
Chinese-language skill that organizes a case file into a multi-role mock trial with judge, parties and clerk, producing a transcript, issue review and a to-strengthen list.
SVG Article Illustrator
cat-xierluo/legal-skills
Creates SVG illustrations for a Markdown article as animated SVG, static SVG or PNG files, and places them in the text at planned positions.
Related
Works with
Categories
Questions about Lecture Performance Review
What does Lecture Performance Review do?
Analyzes raw lecture transcripts for verbal tics, pacing, time use and promise follow-through, with optional slide-by-slide comparison and cross-session tracking. The skill reviews a presenter's delivery from a raw transcript of a lecture, training session or talk. The main output is a list of verbal habits the speaker may not notice, with structure signals such as time allocation, promises kept and interaction as supporting context.
When should I use Lecture Performance Review?
Lecture Performance Review fits situations like: reviewing your own lecture or training session from a transcript; finding verbal tics and tracking whether they improve across sessions; comparing slides with what was actually taught.
How do I install Lecture Performance Review in Claude Code?
Run `npx skills add cat-xierluo/legal-skills --skill lecture-review -a claude-code`. Or copy the skill folder (skills/lecture-review in cat-xierluo/legal-skills) into .claude/skills/lecture-review in your project. Claude Code loads it when a task matches its description.
How do I install Lecture Performance Review in Codex?
Run `npx skills add cat-xierluo/legal-skills --skill lecture-review -a codex`. Or copy the skill folder (skills/lecture-review in cat-xierluo/legal-skills) into .agents/skills/lecture-review in your project. Codex loads it when a task matches its description.
Can I use Lecture Performance Review 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 cat-xierluo/legal-skills --skill lecture-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/lecture-review, .gemini/skills/lecture-review, .github/skills/lecture-review and .opencode/skills/lecture-review in your project.
What does Lecture Performance Review need to run?
Going by SKILL.md and its folder, Lecture Performance Review needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and brew). Our summary lists: Python 3.9 or later; A raw transcript file, for example from Tingwu or FunASR.
Does Lecture Performance Review 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 Lecture Performance Review 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Lecture Performance Review use?
No licence was found for Lecture Performance Review or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Lecture Performance Review use?
About 2.2k tokens (SKILL.md is roughly 8.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.6k tokens, read only when the agent opens those files.
What are the alternatives to Lecture Performance Review?
Skills that share tags, products or a category with Lecture Performance Review: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Project Tutor (rohitg00/ai-engineering-from-scratch, 67k stars), Modeling Paper Rubric and Model Selector (yushui2022/MathModel-Skill, 454 stars) and Generate Verifiers Env (adithya-s-k/FineEnvs, 461 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lecture Performance Review?
cat-xierluo (a GitHub user) maintains it in cat-xierluo/legal-skills, which has 721 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on October 10, 2026.
Source: cat-xierluo/legal-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.