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Found 194 Skills
Israeli Privacy Protection Law compliance guidance including Amendment 13 (effective August 14, 2025), database registration, consent requirements, data security, cross-border transfers, breach notification, privacy protection officer appointment, and AI governance. Use when user asks about Israeli privacy law, "haganat pratiut", "tikun 13", data protection in Israel, GDPR compliance for Israeli companies, privacy policy requirements, or database registration. Covers the Privacy Protection Law 1981, Amendment 13, and 2017 Security Regulations. Do NOT use for EU GDPR-only questions without Israeli context.
Guides AI ops leadership—LLM SRE, model/prompt releases, eval/incidents, cost/capacity, vendors, and cross-functional cadence. Use for AI platform ops, LLM SLAs, incidents, rollout governance, unit economics, red-team/eval gates, and team rituals—not memory (ai-memory-developer), context code (ai-context-engineer), security programs (cybersecurity), token roadmaps (ai-token-improvement-plan-engineer), solution architecture (applied-ai-architect-commercial-enterprise), skills portfolio (ai-skill-manager), or vertical AI product eng management (engineering-manager-vertical-ai-products). Prompt/eval team management and golden-set release policy: engineering-manager-agent-prompts-evals. Safeguard inference platform: ml-infrastructure-engineer-safeguards. Safeguard model research: ml-research-engineer-safeguards.
Production MLOps and ML/LLM/agent security skill for deploying and operating ML systems in production (registry + CI/CD, serving, monitoring/drift, evaluation loops, incident response/runbooks, and governance), including GenAI security (prompt injection, jailbreaks, RAG security, privacy, and supply chain).
Manages organizational guidelines, policies, and best practices as governance variables accessible to all AI agents via SmartContext. Use when working with company rules, brand voice, compliance policies, playbooks, or when any task needs organizational context before proceeding.
Set up @personize/signal — a smart notification engine that decides IF, WHAT, WHEN, and HOW to notify each person using Personize memory and governance. Guides you through connecting event sources, configuring delivery channels, setting up governance rules, and testing the decision engine. Use this skill whenever the user wants to build smart notifications, AI-powered alerts, notification fatigue prevention, daily/weekly digests, personalized messaging, or intelligent notification routing. Also trigger when they mention @personize/signal, notification scoring, quiet hours, deduplication, channel routing (email vs Slack vs in-app vs SMS), or want notifications that know when to stay silent.
One-time project onboarding for swain. Migrates existing CLAUDE.md content to AGENTS.md (with the @AGENTS.md include pattern), verifies vendored tk (ticket) for task tracking, configures pre-commit security hooks (gitleaks default), and offers to add swain governance rules. Run once when adopting swain in a new project — use swain-doctor for ongoing per-session health checks.
Finds and inspects data assets within Google Cloud. Relevant when any of the following conditions are true: 1. The user request involves finding, exploring, or inspecting data assets in Google Cloud, such as: - BigQuery datasets, tables, or views - BigLake catalog or tables - Spanner instances, databases or tables - etc. 2. You need to retrieve the schema, metadata, or governance policies for a GCP data asset. 3. You have a keyword or topic (e.g., "sales data") but lack the specific table or resource ID. 4. You are attempting to find data using `bq ls`, as this skill offers a superior approach. Don't use when: - Assets are outside Google Cloud
Solution architecture for Salesforce platform — multi-cloud design, integration patterns, governor limits, deployment strategy, and data model governance for enterprise-scale orgs
Designs production-grade APIs — REST, GraphQL, gRPC, and AsyncAPI patterns including pagination, versioning, error handling, rate limiting, and API governance. Use when the user asks to design APIs, create endpoints, build an API layer, write OpenAPI specs, or needs help with REST/GraphQL/gRPC service design.
Define, document, and enforce brand voice, tone, messaging pillars, style rules, and terminology standards. Trigger on requests about brand consistency, voice documentation, tone of voice guides, style guide creation, messaging frameworks, terminology governance, inclusive language, or reviewing content for brand compliance.
Set up a repo with IsaiaScope governance defaults — GitHub repo creation, prod/test/dev branch structure with protection, prod-gate CI, commitlint, version-bump hook, and /deploy-cascade command. Use when the user runs /iso-init-repo or asks to set up repo governance.
Guides pension and retirement fund work—DB vs DC structures, funding policy, liability measurement (PV of benefits, discount rates, mortality), ALM overview, plan design, public and multi-employer pensions, risk transfer (buyouts, annuities, de-risking), US regulatory overview (ERISA, PBGC, DOL, IRS qualified plans), institutional investor role, and fiduciary governance—not legal or tax advice. Use when the user mentions pension fund, retirement plan, defined benefit, defined contribution, 401(k), pension funding, PBGC, ERISA, pension liability, discount rate pension, pension buyout, de-risking pension, or ALM pension—not P&C insurance (property-casualty-insurance), actuarial modeling only (actuary), actuarial engagements (actuarial-consulting), personal IRA advice (financial-analyst), or legal interpretation (commercial-counsel).