By unqdlphn
Seven governance-first AI compliance skills for Claude: EU AI Act classification, NIST AI RMF checkpoints, ISO 42001 audit prep, HITL gating, PII exposure checks, incident response logging, and AI transparency writing. Each skill ships with its full reference material.
Generates ready-to-publish transparency notices, model cards, and AI system disclosures. Use whenever someone says "write a transparency notice", "draft a model card", "create a system disclosure", "Article 13 notice", "what do I need to disclose about my AI", "transparency documentation", "AI system card", "document my AI for compliance", or "how do I tell users about my AI". Also trigger when preparing EU AI Act compliance disclosures or NIST AI RMF Govern function documentation. Two modes: (1) EU AI Act Article 13 notice for high-risk AI deployers, (2) NIST AI RMF-aligned model card. Produces actual draft document text the user can edit and publish — not checklists. Suggest eu-ai-act-classifier first if risk tier is unconfirmed. Offer hitl-compliance-gate after drafting before the notice is published.
Classify an AI system's risk tier under the EU AI Act and surface the specific legal obligations that apply. Use this skill whenever someone asks about EU AI Act compliance, risk classification, "is this high-risk AI", "what category does my AI fall into", "do I need a conformity assessment", "what are my EU AI Act obligations", "does the AI Act apply to me", or "how do I comply with the EU AI Act". Also trigger when someone describes an AI system and needs to understand their regulatory exposure in the EU — even if they don't use the phrase "EU AI Act". Outputs a definitive risk tier, the legal basis for that classification, and a tailored obligations checklist scoped to that tier and deployment role (provider, deployer, importer, distributor). Do not use hitl-compliance-gate for this — use this skill when the EU AI Act classification and obligations are the primary need.
Insert a structured compliance review checkpoint into any AI workflow. Use this skill whenever a human-in-the-loop (HITL) review moment occurs and there is any concern about regulatory or standards compliance — even if the user doesn't use the word "compliance." Trigger on phrases like: "check this against NIST", "is this EU AI Act compliant", "ISO 42001 review", "compliance gate", "run a compliance check", "is this safe to proceed", "review before we ship", "flag any risks", or any workflow step where a human is asked to approve AI-generated output before it moves forward. Also trigger when the user is mid-workflow and asks "should we add a compliance check here?" — always say yes and invoke this skill. Covers: EU AI Act, NIST AI RMF, ISO 42001. Outputs a structured sign-off checklist the human reviewer can work through before approving.
Structures AI incident reports aligned to NIST SP 800-61 incident response phases and EU AI Act Article 62 serious incident reporting obligations. Use whenever someone says "log an AI incident", "report an AI failure", "document this incident", "file an incident report", "something went wrong with our AI", "we had an AI bias incident", "our model produced harmful output", "Article 62 report", "serious incident report", "EU AI Act incident", "post-incident review", or "AI incident debrief". Also trigger when someone describes an AI system failure, unexpected output, harm to a user, or regulatory notification requirement — even if they don't use the word "incident". Produces a structured, pre-filled incident report ready for internal review, legal sign-off, and where required, submission to a national market surveillance authority. Identifies whether the incident meets the Article 62 serious incident threshold and routes to the right stakeholders automatically.
Guide teams through ISO/IEC 42001:2023 (AI Management System) clause-by-clause audit readiness checks. Use this skill whenever someone mentions ISO 42001, AIMS, AI management system, AI certification, ISO audit, "are we ISO compliant", "prepare for our audit", "gap analysis for ISO", or asks to evaluate AI governance against an international standard. Also trigger when someone says "what clauses are we missing", "help us get certified", "check our AIMS", "ISO 42001 readiness", or "what do auditors look for". Produces clause- scoped gap analysis reports, assigns control owners, flags audit evidence requirements, and generates audit-ready documentation stubs. Use this for deep ISO 42001 work; use hitl-compliance-gate for a quick multi-framework sign-off check instead.
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Governance first. Build accordingly.
Quirgs is a platform for building AI products responsibly. The site at quirgs.com ships governance tooling — skills, guides, and operational workflows — to the people writing the code, not the people reading the PDFs.
This repository is the production source for the public site, the skill catalog behind it, and the workers that back human-in-the-loop review.
Quirgs is not a knowledge base. It is not a tutorial site for local LLM deployments. It is not a sysadmin resource. Those descriptions belong to a legacy that no longer exists.
A quirg (lowercase) is the unit Quirgs ships. Every quirg belongs to one of three formats:
| Format | What it is |
|---|---|
| Skill | Installable Claude Code skill, distributed through the quirgs plugin marketplace. Executes a governance workflow inside an AI environment. |
| Guide | Structured how-to reference. Teaches a principle, standard, or implementation pattern in depth. |
| Tool | Reusable SOP, workflow, or automation system. Operational — meant to be run, not just read. |
The current production catalog is seven Skills covering the EU AI Act, NIST AI
RMF, ISO/IEC 42001, HITL gating, PII exposure, incident response, and AI
transparency disclosure. See src/content/skills/.
The Skills are distributed as a Claude Code plugin
marketplace. The
.claude-plugin/marketplace.json at the repo
root lists eight plugins — the seven-skill quirgs-compliance bundle plus one
single-skill plugin per Skill — and each plugin's source lives under
plugins/ with its full SKILL.md and references/ committed so
they survive install.
Inside Claude Code, add the marketplace once, then install:
/plugin marketplace add unqdlphn/quirgs
/plugin install quirgs-compliance@quirgs # all seven skills
/plugin install eu-ai-act-classifier@quirgs # or a single skill
The marketplace is added by its repo (
unqdlphn/quirgs) but plugins install with the marketplace name suffix (@quirgs, thenamefield inmarketplace.json).
Auto-update note: Third-party marketplaces have auto-update disabled by default. To pull new skill versions after install, run
/plugin marketplace update quirgs.
The public Gists carry each SKILL.md for
discovery, SEO, and read-only preview — they are not an install path, since
a Gist cannot deliver a Skill's references/ directory.
| Layer | Choice |
|---|---|
| Framework | Astro 6 — static output |
| Adapter | @astrojs/cloudflare → Cloudflare Workers |
| Content | Astro Content Collections + MDX, edited via Keystatic at /keystatic/ |
| Hosting | Cloudflare (production domain: quirgs.com) |
| Backend services | Cloudflare Workers — KV + D1 |
| CI | GitHub Actions (sync-gists.yml) |
| Node | >=22.12.0 (see package.json) |
npx claudepluginhub unqdlphn/quirgs --plugin quirgs-complianceLog and triage AI incidents against EU AI Act Article 62 reporting thresholds and NIST 800-61 response phases. Ships with threshold and phase reference material.
Draft EU AI Act Article 13 transparency disclosures, user-facing AI notices, and model cards. Ships with disclosure examples and a model card template.
Classify an AI system's risk tier under the EU AI Act and surface the legal obligations that apply. Ships with prohibited, high-risk, limited-risk, and GPAI reference material.
Insert human-in-the-loop checkpoints into AI workflows and map them to EU AI Act, ISO 42001, and NIST AI RMF controls. Ships with per-framework reference material.
Prepare for an ISO/IEC 42001 AI management system audit: clause coverage, Annex A controls, and evidence collection. Ships with clause, Annex A, and evidence-guide reference material.
UI/UX design intelligence. 67 styles, 161 palettes, 57 font pairings, 25 charts, 15 stacks (React, Next.js, Vue, Svelte, Astro, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, Nuxt, Jetpack Compose). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
This skill should be used when users need to generate ideas, explore creative solutions, or systematically brainstorm approaches to problems. Use when users request help with ideation, content planning, product features, marketing campaigns, strategic planning, creative writing, or any task requiring structured idea generation. The skill provides 30+ research-validated prompt patterns across 14 categories with exact templates, success metrics, and domain-specific applications.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.