ai-inventory
EU AI Act per-system inventory — track each AI system's role (provider, deployer, importer,…
Generate a Privacy Impact Assessment in house format for a new feature, product, or processing activity, using the structure learned from your seed PIA. Use when the user says "write a PIA", "privacy impact assessment for", "do we need a PIA for this", "privacy review this
$ npx -y skills add anthropics/claude-for-legal --skill pia-generation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/pia-generationContext preview
The summary Claude sees to decide when to auto-load this skill.
Generate a Privacy Impact Assessment in house format for a new feature, product, or processing activity, using the structure learned from your seed PIA. Use when the user says "write a PIA", "privacy impact assessment for", "do we need a PIA for this", "privacy review this
name: pia-generation description: > Generate a Privacy Impact Assessment in house format for a new feature, product, or processing activity, using the structure learned from your seed PIA. Use when the user says "write a PIA", "privacy impact assessment for", "do we need a PIA for this", "privacy review this feature", or describes a new data processing activity. argument-hint: "[feature name or description]"
1. Load `~/.claude/plugins/config/claude-for-legal/privacy-legal/CLAUDE.md` → PIA house style (trigger, structure, depth, sign-off). 2. Run the workflow below. 3. Check: is a PIA actually needed? (House trigger + research the mandatory-assessment triggers for each applicable regime — cite primary sources, verify currency.) 4. Intake: ask the product-team questions. Can pull from PRD if provided. 5. Write PIA in house format. Include privacy policy consistency check. 6. Output with conditions list and named owners. Route for sign-off.
/privacy-legal:pia-generation "Location sharing feature"
/privacy-legal:pia-generation PRD: [Drive link]
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**Matter context.** Check `## Matter workspaces` in the practice-level CLAUDE.md. If `Enabled` is `✗` (the default for in-house users), skip the rest of this paragraph — skills use practice-level context and the matter machinery is invisible. If enabled and there is no active matter, ask: "Which matter is this for? Run `/privacy-legal:matter-workspace switch <slug>` or say `practice-level`." Load the active matter's `matter.md` for matter-specific context and overrides. Write outputs to the matter folder at `~/.claude/plugins/config/claude-for-legal/privacy-legal/matters/<matter-slug>/`. Never read another matter's files unless `Cross-matter context` is `on`.
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Before producing output, check where it's going. If the user has named a destination (a channel, a distribution list, a counterparty, "everyone"), ask whether it's inside the privilege circle. Public channels, company-wide lists, counterparty/opposing counsel, vendors, and clients (for work product) waive the protection. When the destination looks outside the circle, flag it and offer (a) the privileged version for legal only, (b) a sanitized version for the broader channel, or (c) both — don't silently apply a privileged header and then help paste it somewhere the header won't protect it. See the canonical `## Shared guardrails → Destination check` in this plugin's CLAUDE.md.
A PIA is a conversation with the product team, captured. It asks: what data, why, how long, who sees it, what could go wrong. This skill structures that conversation and writes the output in this team's format — the one learned from the seed PIA during cold-start.
This assessment assumes the jurisdictional scope specified in your configuration. Privacy rules, assessment triggers, and lawful bases vary materially by jurisdiction (GDPR vs. state consumer privacy laws vs. sectoral). If the processing activity, controller, or affected data subjects fall under a different jurisdiction, this analysis may not apply as written.
Before writing a new PIA, check the outputs folder for prior work on the same feature, processing activity, or counterparty. Read `~/.claude/plugins/config/claude-for-legal/privacy-legal/CLAUDE.md` → `## Outputs` for the path. Scan for:
If a prior output is found, cite it in the PIA:
> "Prior triage ([date]) rated this [risk level] and required [conditions]. This PIA builds on that finding — [which conditions are satisfied, which remain, which are re-scoped]."
If a prior PIA exists: > "This PIA supersedes the [date] PIA because [reason — scope change, new data category, vendor change, regulatory change]. Conclusions carried over: [X]. Conclusions revised: [Y, because Z]."
**Carry severity from upstream as a floor** per the cross-skill severity floor rule in `~/.claude/plugins/config/claude-for-legal/privacy-legal/CLAUDE.md` → `## Shared guardrails`. A use-case-triage that rated the activity high-risk cannot become a PIA that concludes low-risk without stating why and what changed.
If no prior output is found, say so explicitly — "No prior triage or PIA on this activity in outputs folder; this is a cold start" — so the reviewing attorney knows the check ran and didn't find anything to reconcile.
Read `~/.claude/plugins/config/claude-for-legal/privacy-legal/CLAUDE.md` → `## PIA house style`. That has:
If the seed PIA structure is in the config CLAUDE.md, **use it**. The point is that this PIA looks like the other PIAs this team produces, not like a generic one.
Check the trigger criteria in `~/.claude/plugins/config/claude-for-legal/privacy-legal/CLAUDE.md`. That is the team's house answer.
In addition, **research the currently operative mandatory-assessment triggers** for each regime in the regulatory footprint (GDPR/UK GDPR DPIA triggers, CCPA/CPRA risk-assessment triggers, other US state data-protection assessment triggers, sectora
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
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