agent-launcher-orchest…
Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a…
/cs:ai-act-readiness <system> — EU AI Act 6-question forcing interrogation. Use during AI-system intake, before EU deployment, or during annual compliance refresh as Article 113 obligations phase in (2025-02-02 / 2025-08-02 / 2026-08-02 / 2027-08-02).
$ npx -y skills add alirezarezvani/claude-skills --skill ai-act-readiness --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/ai-act-readinessContext preview
The summary Claude sees to decide when to auto-load this skill.
/cs:ai-act-readiness <system> — EU AI Act 6-question forcing interrogation. Use during AI-system intake, before EU deployment, or during annual compliance refresh as Article 113 obligations phase in (2025-02-02 / 2025-08-02 / 2026-08-02 / 2027-08-02).
name: "ai-act-readiness" description: "/cs:ai-act-readiness <system> — EU AI Act 6-question forcing interrogation. Use during AI-system intake, before EU deployment, or during annual compliance refresh as Article 113 obligations phase in (2025-02-02 / 2025-08-02 / 2026-08-02 / 2027-08-02)."
**Command:** `/cs:ai-act-readiness <system>`
The EU AI Act compliance operator pressure-tests any AI system before EU deployment. Six Article-cited questions before any EU placement, conformity assessment, or annual compliance refresh.
**Penalty: up to 35M EUR or 7% worldwide turnover.**
**Annex III triggers high-risk; Article 6(3) carve-out conditional.**
**Biometrics → Module H (notified body) by default; others → Module A if harmonised standards applied.**
**Provider obligations are heaviest; substantial modification turns deployer into provider.**
**In force 2 Aug 2025.**
**GPAI has parallel track; systemic risk above 10^25 FLOPs.**
# 1. Risk classification python ra-qm-team/skills/eu-ai-act-specialist/scripts/ai_system_risk_classifier.py systems.json # 2. If high-risk: conformity assessment python ra-qm-team/skills/eu-ai-act-specialist/scripts/conformity_assessment_planner.py system.json # 3. Per-role obligation matrix python ra-qm-team/skills/eu-ai-act-specialist/scripts/ai_act_obligation_tracker.py roles.json # 4. Cross-framework reuse (ISO 42001 etc.) python ../../skills/compliance-os/scripts/cross_framework_mapper.py program.json
# EU AI Act Readiness: <system> **Date:** YYYY-MM-DD **Article Citations:** Every verdict below cites the specific Article. ## The Decision Being Made [classify | conformity-route | obligation-scope | annual-refresh] ## Risk Classification - Tier: prohibited | high_risk | limited_risk | minimal_risk - Citation: Article X(Y) + Annex Z if applicable - Rationale: <Article-cited rationale> - GPAI: yes/no - Systemic-risk GPAI: yes/no (per Article 51 10^25 FLOPs threshold) ## Conformity Assessment (if high-risk) - Module: A | A_with_caveats | H | sectoral - Citation: Article 43 + Annex VI/VII - Notified body required: yes | no | optional - Annex IV pack status: complete | in-progress | not-started ## Obligation Matrix - Total obligations: N - By deadline phase: 2025-02-02=A, 2025-08-02=B, 2026-08-02=C, 2027-08-02=D - Highest-priority unmet obligation: <Article + description> ## Transparency (Article 50) - 50(1) interaction disclosure: yes | no - 50(2) synthetic content marking: yes | no | NA - 50(3) emotion recognition disclosure: yes | no | NA - 50(4) deepfake disclosure: yes | no | NA ## Cross-Framework Reuse - ISO 42001 evidence applicable to Article 17 QMS: yes/no - ISO 27001 evidence applicable to Article 15 cybersecurity: yes/no - GDPR DPIA usable for Article 27 FRIA: yes/no ## Verdict 🟢 REA
388 production-ready Claude Code skills, plugins, and agent skills for 13 AI coding tools. The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 9 more coding agents.
Repo: alirezarezvani/claude-skills
Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a…
Phase 3 of building a Claude Managed Agent — the bounded grade→iterate loop. Define a CMA outcome (a required markdown rubric graded by an isolated grader),…
Phase 1 of building a Claude Managed Agent — interview the founder about the one job the agent should do, then produce a build sheet (CMA primitives table +…
Phase 4 of building a Claude Managed Agent — make it run without you. Turn a graded agent into a recurring scheduled deployment (POSIX-cron), an event-driven…
Phase 2 of building a Claude Managed Agent — turn a validated build sheet into exact API payloads and a resumable BYOK curl launch script, then launch…
Close out a launched Claude Managed Agent — recap every primitive the founder now owns, regenerate the single-file overview page, and suggest the next 1-2…