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Found 194 Skills
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.
Generate Planning & Management documentation for SDLC projects. Covers Project Vision & Scope, SDP, SCMP, QA Plan, Risk Plan, SRS, and Feasibility Study. Use when starting a new project, conducting project governance, or establishing the planning...
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).
Guides advanced long-term actuarial mathematics (SOA ALTAM)—survival models, life insurance and annuity APVs, premiums and reserves (equivalence principle, Thiele), multiple decrement and Markov states, yield-curve discounting, mortality improvement, longevity risk, profit testing, and mortality graduation. Tool-agnostic, concept-first. Use when the user mentions advanced long-term actuarial mathematics, ALTAM, survival model, life insurance reserve, annuity valuation, equivalence principle, Thiele equation, multiple decrement, force of mortality, longevity risk, mortality improvement, actuarial present value, or net premium reserve—not ASTAM/P&C (advanced-short-term-actuarial-mathematics), workpapers only (actuarial-analyst), appointed actuary (appointed-chief-actuary), assumption governance (assumption-setting), ALM detail (asset-liability-management), or exam-only deliverables.
Design data architecture at enterprise and solution levels. Cover data mesh, lakehouse, governance, domain-driven design, conceptual/logical/physical data modeling, platform selection, and compliance frameworks. Produce ADRs, data model diagrams, platform comparison matrices, and governance policy templates. Triggers on "design data platform", "choose data warehouse", "data mesh", "lakehouse architecture", "data governance", "data modeling", "platform selection", "data architecture decision", "compliance framework", or "data strategy". For applied AI solution architecture (RAG data plane, embeddings, vector stores in commercial or enterprise products), use applied-ai-architect-commercial-enterprise. For dbt analytics layers and mart delivery, use analytics-data-engineer—not data-architect.