ai-inventory
EU AI Act per-system inventory — track each AI system's role (provider, deployer, importer,…
Grade an IRAC essay for structure, issue-spotting, rule accuracy, analysis depth, and organization. Does NOT rewrite the essay or show a model answer; tracks patterns across sessions. Use when the user says "grade my IRAC", "check my essay", or "I wrote this, give me feedback".
$ npx -y skills add anthropics/claude-for-legal --skill irac-practice --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/irac-practiceContext preview
The summary Claude sees to decide when to auto-load this skill.
Grade an IRAC essay for structure, issue-spotting, rule accuracy, analysis depth, and organization. Does NOT rewrite the essay or show a model answer; tracks patterns across sessions. Use when the user says "grade my IRAC", "check my essay", or "I wrote this, give me feedback".
name: irac-practice description: > Grade an IRAC essay for structure, issue-spotting, rule accuracy, analysis depth, and organization. Does NOT rewrite the essay or show a model answer; tracks patterns across sessions. Use when the user says "grade my IRAC", "check my essay", or "I wrote this, give me feedback". argument-hint: "[paste essay OR path to draft OR --generate-hypo]"
1. Load `~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md` → classes, exam formats, outline locations, learning style. 2. Apply the framework below. 3. Establish mode: student-provided hypo + answer, OR skill-generated hypo with student's answer. 4. Read the answer closely. Map against expected IRAC components. 5. Output structured feedback: issues spotted/missed, rule accuracy, analysis depth, organization, grade band, top 3 fixes, at most 1-2 labeled example phrasings (never a full IRAC model). 6. Append to `~/.claude/plugins/config/claude-for-legal/law-student/irac-sessions/[student]/tracker.md` for pattern detection. Surface patterns after 3+ sessions.
---
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.
1L writing is mostly IRAC. 2L-3L writing that touches legal analysis is IRAC under the hood. The exam rewards structure as much as content. This skill grades *structure* — did you spot the issues, did you state the rules correctly, did you apply rules to facts or just restate both?
**Does not rewrite the essay.** Ever. The whole point is that you learn by writing, getting specific structural feedback, and rewriting yourself.
Two modes:
If skill-generated, the hypo itself follows the same confidence rules — the skill flags any sub-issue it's less confident about.
Don't skim. Read the student's answer as if grading it. Map it against expected IRAC components:
Output per component. No rewriting. Specific, not generic.
# IRAC Grade — [date] **Hypo:** [summary or pointer] **Student answer length:** [N words] **Expected issues:** [list — from the hypo] --- ## Issue spotting **Spotted:** [list] **Missed:** [list — these are points left on the table] **Mis-identified:** [if the student called something an issue that isn't] [If an issue is [UNCERTAIN: debatable issue-call], note: "your grader might agree or disagree here; defensible read."] ## Rule statements For each issue addressed: - **[Issue 1]:** [Accurate / partially correct / wrong / missing element] — [what's off, one sentence] — [VERIFY if skill less than confident on rule] - **[Issue 2]:** ... ## Analysis For each rule the student stated: - **[Issue 1] — did you apply?** [Yes, applied to [specific facts] | Partially — you mentioned [facts] but didn't link to rule element | No — you restated rule then facts without mapping] - [If not applied well: "what you needed to do: connect [specific fact] to [specific rule element]. Not 'defendant acted negligently because of the facts' — 'defendant breached the duty of care because [sp
Reference agents, skills, and data connectors for the legal workflows we see most — in-house commercial, privacy, product, corporate, employment, litigation, regulatory, AI governance, IP, and the learning side of the practice (law school clinics and
EU AI Act per-system inventory — track each AI system's role (provider, deployer, importer,…
Run an AI impact assessment — structured intake, risk analysis, regulatory classification per…
Run the cold-start interview — learns your AI governance practice and writes…
Guided customization of your AI governance practice profile — change one thing without…
Manage matter workspaces — new, list, switch, close, or detach (practice-level).…
Keep the AI policy current with practice — weekly sweep of saved AIAs, triage results, and…