
Cold Call Prep
OfficialFreePrepare effectively for class cold-calls with targeted questions.
Free · Opens the source repo
What Cold Call Prep does
Cold Call Prep is designed to help law students prepare for class discussions and cold-calls by predicting the likely questions their professors will ask. This skill streamlines the preparation process by analyzing the assigned reading and the professor's known tendencies, enabling students to focus their study efforts on the most relevant material. By utilizing a structured approach, students can drill themselves on key concepts, ensuring they are ready to engage in class discussions confidently.
The skill begins by loading the user's class list and details about their professors from a specified configuration file. It then identifies the reading material, including the case name and citation, and applies a systematic workflow to predict potential questions. These questions are categorized into various types such as facts, holding, reasoning, application, and policy, allowing students to prepare comprehensively across different dimensions of legal analysis.
During the preparation process, the skill employs a Socratic drilling method that encourages students to articulate their understanding without providing direct answers. This method not only reinforces knowledge retention but also highlights areas where the student may need further review. After the drilling session, a summary is generated that categorizes the student's performance into strong, shaky, and missed questions, along with specific recommendations for further study before class.
Cold Call Prep is particularly useful for law students who want to enhance their classroom performance and engage more effectively with their professors. It is not a substitute for reading the assigned cases but rather a complementary tool that helps students test their understanding and readiness for class discussions.
When to use it
Use this tool when preparing for class discussions or cold-calls, especially when assigned reading is involved.
When not to use it
This skill is not suitable for situations requiring legal advice or when dealing with real-life legal issues.
What you can build with it
Preparing for a Cold Call
Use this skill to anticipate questions and drill yourself on the assigned case before your class.
Identifying Weak Areas
After drilling, review the summary to pinpoint concepts you need to revisit before class.
Understanding Professor's Styles
Leverage the skill to adapt your preparation based on the specific questioning style of your professor.
How to install Cold Call Prep
View source1. Install with the skills CLI
npx skills add anthropics/claude-for-legal/cold-call-prep --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by anthropics/cold-call-prep
- Load
~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md→ class list, professors, learning style. - Apply the workflow below.
- Identify reading (case name + citation, professor, class, syllabus context).
- Predict 6-10 likely questions across categories (Facts / Holding / Reasoning / Application / Policy), weighted to professor's known tendencies.
- Drill using socratic pattern — ask, wait, push back, narrow when stuck. Don't give answers.
- Post-drill summary: strong/shaky/missed; what to re-check before class.
Real-matter check
If the question the student is asking sounds like it's about a REAL situation — their lease, their parking ticket, their family's business, their friend's arrest, a real dollar amount, a real deadline, a real party name — stop.
"This sounds like a real situation, not a hypothetical. I can't give you legal advice, and you can't give it either — you're not a lawyer yet. If this is real, [the person] needs an actual lawyer: legal aid, your school's clinic, a lawyer referral service (your jurisdiction's bar association, law society, or legal aid body), or (if there's money) a private attorney. I'm happy to help you understand the general legal concepts involved, but that's study, not advice."
Watch for: real names, real addresses, real dates, specific dollar amounts, "my landlord/boss/parent/friend," "I got a ticket/letter/notice," deadlines measured in days. Any one of these is a trigger.
Purpose
Cold-calling lives or dies on preparation. The professor has read the case dozens of times and knows the questions; the student has read it once. This skill narrows the gap — predicts the likely question patterns for the case, drills the student on them, and surfaces what they haven't locked in.
Not a replacement for reading the case. A test that you actually did.
Confidence discipline
- When the student provides case text or casebook excerpts: I predict questions based on the actual text. Confident.
- When the student provides only a case name: I predict based on what I know about the case. Flag
[UNCERTAIN]on any question that depends on case details I'm not sure of. Strongly recommend the student pastes the case or casebook treatment first. - If I don't know the case well: say so. "I don't have a reliable read on this case — paste the text or casebook treatment and I can work from that. Otherwise my questions are educated guesses."
Load context
~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md→ current classes, professors, learning style- User-provided: case name / case text / casebook pages / reading list
Workflow
Step 1: Identify the reading + professor
- Case name and citation
- Professor (from ~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md class list — tone and focus vary by professor)
- Class / subject area
- Where this case falls in the syllabus (for context — is this the first case on the topic, a narrowing case, a counterexample?)
Step 2: Predict the questions
Professors cold-call in recurring patterns. Predict across these categories:
Facts-level (warm-up):
- Who are the parties? What happened? Procedural posture?
- What did the trial court do? The appellate court below?
- Why is this in the casebook? What subject is it illustrating?
Holding / rule:
- What's the holding? One sentence.
- What's the rule that comes out of this case — the portable takeaway?
- How would you phrase the rule if it were in your outline?
Reasoning:
- Why did the court decide this way?
- What arguments did the court reject?
- Was there a dissent? What did it argue?
Application / hypos:
- What if [fact X] were different — same outcome?
- How does this case compare to [prior case in the syllabus]?
- What's the limiting principle? Where does this rule stop?
Policy / theory:
- What's the policy the court is protecting?
- Does this rule make sense? Alternative approaches?
Professor-specific flavor (from ~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md notes):
- If the professor is known for hypo-heavy calls, weight Application/Hypo questions
- If policy-heavy, weight Policy/Theory
- If fact-heavy socratic (Socratic 101 Paper Chase style), weight Facts + Holding
Pick 6-10 questions across these categories. Rank by likelihood of being asked first (Facts usually go first, then Holding, then the harder categories).
Step 3: Drill
Use the socratic-drill pattern:
- Ask Question 1. Wait for answer.
- If right + well-reasoned: acknowledge, move to Question 2.
- If right but sloppy: don't let it slide. "You got there, but explain — why does the court's reasoning support that?"
- If wrong: don't give the answer. Ask a narrowing question. "What facts does the court rely on?" Walk them to it.
- If stuck: narrow further. "Before we go to the holding — what's the procedural posture?"
- If genuinely lost: tell them to re-read the case. "This is a re-read, not a guess-your-way-through. Come back when you've read it again."
Step 4: Post-drill summary
At the end:
# Cold-Call Prep — [case] — [date]
**Questions drilled:** [N]
**Strong:** [questions where they were confident + right]
**Shaky:** [questions where they guessed or hedged]
**Missed:** [questions where they didn't know]
## Before class tomorrow:
- [specific thing to re-check — facts they got wrong, rule they couldn't state]
- [if shaky on policy/theory: "read the dissent again — that's usually where policy questions come from"]
## Questions likely to come up in class:
- [top 3 of the 10 — the ones the professor is most likely to lead with]
Integration
- case-brief: if the student hasn't briefed the case yet, offer to run
/law-student:case-briefbefore cold-call prep. A brief is a cold-call prep tool too. - socratic-drill: if prep surfaces a weak spot in the subject (not just this case), follow with
/law-student:socratic-drill [subject]. - flashcards: if the case's rule is one the student should memorize, offer to add to the flashcard deck.
What this skill does not do
- Be the professor. The actual cold-call can go anywhere. This skill predicts patterns; professors surprise.
- Replace reading the case. If you haven't read it, the skill can't help you — questions require text you've absorbed.
- Give you the case's holding without asking you first. Drill-me pattern: I ask, you answer.
- Predict jurisdiction-specific niche questions. If the professor has known hobby horses, capture them in ~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md class notes and the skill can weight accordingly; otherwise, it works from general patterns.
Frequently asked questions about Cold Call Prep
Similar skills
Claude Certification Tutor
Interactive guidance for Claude certification paths.
Feynman Perspective
Analyze problems through Feynman's lens.
Case Brief
Create structured case briefs tailored to your format.
Bar Prep Questions
Targeted practice for bar exam preparation.
Learn AI Engineering
Interactive lessons for mastering AI engineering concepts.
Exam Ready
Streamline your exam preparation with targeted content extraction.
