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Found 6,668 Skills
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 hands-on actuarial analyst work for insurance, reinsurance, and pension—reserving and loss development (IBNR, triangles, chain-ladder diagnostics), pricing and rate indication support (experience, trend, credibility, basic GLM at spec level), data validation and model I/O review, reporting packs and workpapers, assumption application under actuary direction, and statutory tie-outs at analyst depth. Use when the user mentions actuarial analyst, loss development, IBNR, reserve analysis, rate indication, pricing support, actuarial workpaper, triangle analysis, credibility, experience study, actuarial reporting, or reserve roll-forward—not actuary sign-off (actuary), consulting engagements (actuarial-consulting), assumption governance (assumption-setting), ALM strategy (asset-liability-management), P&C legal depth (property-casualty-insurance), charts only (data-visualization), or ETL-only pipelines (data-scrubbing).
Guides product management for human data platforms—annotation and labeling products, workforce workflows, task design, quality systems (gold sets, adjudication, inter-annotator agreement), customer ML-team project delivery, contributor experience, and privacy-safe handling of human-generated training data. Use when prioritizing roadmap for labeling/RLHF/eval data platforms, writing PRDs for annotation or QA features, defining success metrics for throughput and quality, scoping enterprise customer workflows, or balancing cost-quality-speed tradeoffs—not for hands-on model training (data-scientist), warehouse/analytics pipelines (data-warehouse-engineer), generic BRD workshops without product lens (business-analyst), AI solution architecture for copilots (applied-ai-architect-commercial-enterprise), or control implementation for audits (compliance-engineer). UX flows: product-designer. Eval harnesses: prompt-engineer-agent-prompts-evals. Pricing/packaging for platform: product-management-monetization.
Guides advanced short-term actuarial mathematics aligned with SOA ASTAM and P&C/health-adjacent modeling—severity and frequency distributions, aggregate and compound loss models, Bühlmann and Bühlmann-Straub credibility, ratemaking and experience rating, short-term reserving at the math level, MLE and goodness-of-fit, and risk measures (VaR, TVaR). Tool-agnostic and concept-first. Use when the user mentions advanced short-term actuarial mathematics, ASTAM, severity model, frequency model, aggregate loss, compound distribution, Bühlmann credibility, experience rating, ratemaking, pure premium, negative binomial frequency, tail factor, TVaR, or short-term actuarial models—not life contingencies (life-health-insurance), Excel workpapers only (actuarial-analyst), appointed actuary sign-off (actuary, appointed-chief-actuary), assumption governance (assumption-setting), P&C legal/operations depth (property-casualty-insurance), or general ML (data-scientist, quantitative-researcher).
Guides secure software delivery and DevSecOps for cleared/classified or high-side programs—disconnected or air-gapped CI/CD, artifact promotion across classification boundaries (conceptual), SBOM/signing/ provenance, SAST/DAST/secrets/IaC/container gates, supply-chain controls, STIG/CIS deploy baselines, IaC for classified landing zones, cleared developer workstations, build/deploy audit logging, and ATO/RMF pipeline evidence (not SSP ownership). Use for classified DevSecOps, cleared pipeline, high-side CI/CD, air-gapped build, cross-domain release, classified software delivery, STIG pipeline, ATO evidence CI, SBOM classified, secure software factory—not portfolio cyber governance (classified-cyber-security-senior-manager), ISSO/SSP (information-systems-security-officer-classified-specialist), commercial-only DevSecOps (devsecops), general DevOps (devops), build-only validation (build-validator), pentest (penetration-tester), or enterprise GRC-only (compliance-specialist).
End-to-end pipeline from unlabeled ml_app traces to a bootstrapped evaluator suite. Runs trace classification → root cause analysis → eval bootstrap in sequence with user checkpoints. Use when user says "run the eval pipeline", "go from traces to evals", "bootstrap evals end to end", "classify then RCA then bootstrap", "build an eval set from scratch", or wants a guided walkthrough from production data to evaluator code.
Recommend and customize Megatron Bridge recipes for a user's model, GPU count, and training goal. Indexes library recipes (pretrain/SFT/PEFT) and performance recipes.
Battle-tested security checks for AI coding assistants — 29 categories covering OWASP Top 10, CWE Top 25, and ASVS Level 3
Build, refactor, review, and debug native Apple-platform software in Swift. Use when working on `.swift` files, SwiftUI views, Observation-based state, `@Bindable` and binding flow, SwiftData-backed UI, scenes and windows, search/navigation structures, UIKit/AppKit interop, Liquid Glass adoption, macOS-native UX, or SwiftUI performance/accessibility. Trigger on requests to create or polish iOS, iPadOS, macOS, or visionOS features; clean up SwiftUI view structure; diagnose jank or invalidation storms; review app quality; or make a feature feel like a good Apple-platform citizen.
Você é uma Arquiteta de Software Sênior especialista em Clean Code e engenharia de software. Use esta skill sempre que o usuário pedir para revisar, criticar, refatorar ou avaliar trechos de código, funções, classes, módulos ou arquiteturas inteiras. Ative também quando o usuário mencionar problemas como "código duplicado", "classe muito grande", "difícil de manter", "código espaguete", "muita dependência", "quero melhorar esse código", "está violando SOLID?", "como refatorar isso?", "esse código está limpo?", "tem code smell aqui?", "como aplicar injeção de dependência?", "preciso de um code review", ou qualquer variação dessas frases. Ative inclusive quando o usuário perguntar sobre boas práticas de design, padrões de código, ou pedir explicações sobre KISS, DRY, YAGNI, TDA, SOLID e seus subprincípios. Se estiver no SynkOS, chame `pane_set_identity` com skill="clean-code-architect" e role="architect".
Surface the 20 most relevant stories in a niche from the last 7 days using Claude for Chrome. Verified dates, real links, shareable angles. Claude drives the browser to scroll Reddit, X and run Google searches — exactly like a human researcher would. Use this skill whenever the user says "research my niche", "what's trending", "find stories", "this week's news", "content research", or drops a niche and asks what's happening in it. Requires the Claude for Chrome extension to be enabled for live browsing.
Update LLM prices in the repo: Use this skill to snapshot live LLM pricing into a checked-in file so billing or cost math can run offline with deterministic rates. Use for any language or stack (TypeScript, Python, Go, JSON registries, etc.) — not only typescript. Use when the user wants pinned prices, wants to remove a runtime dependency on the Narev API, wants to refresh a committed pricing file, or mentions "snapshot pricing", "freeze prices", "pin model rates", "regenerate pricing file", "update pricing in the repo", or "sync token pricing from Narev".