Agentic-Enteprises-Skill

Guides experimentation engineering for A/B and multivariate tests—hypothesis framing, primary/secondary/guardrail metrics, design (A/B, A/B/n, MVT), sample size and power, duration and seasonality, allocation and randomization units, SRM checks, instrumentation, analysis plans (frequentist and Bayesian workflow level), stopping rules, readouts, rollout/kill decisions, and experiment registry hygiene (sound statistical practice only). Use for "A/B test", "A/B testing engineer", "experiment design", "sample size calculator", "statistical significance", "power analysis", "split test", "experiment readout", "guardrail metrics", "SRM", "randomization unit", "experiment duration", "multivariate test", "holdout", or "experiment analysis". Not for analytics stack build (analytics-data-engineer), marketing copy (cmo-advisor), roadmap-only (cpo-advisor), ML model experiments (ml-research-engineer-safeguards), or privacy/legal review (compliance-engineer).

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 actuarial consulting engagements—client scoping and SOW design, stakeholder communication (CFO, risk, boards, regulators at overview level), due diligence and M&A actuarial support, reserving/pricing/capital review programs, model validation and opinion support, regulatory interaction prep, and deliverable governance (memos, exhibits, management presentations). Use when the user mentions actuarial consulting, actuarial engagement, reserve opinion, due diligence actuarial, model validation engagement, actuarial memo, SOW actuarial, regulatory actuarial, M&A reserves, or actuarial review—not deep technical modeling execution (actuary), P&C line education only (property-casualty-insurance), legal advice (commercial-counsel), or generic management consulting without actuarial lens (business-consultant).

Guides actuarial work for insurance and reinsurance—pricing and rate adequacy, reserving and IBNR, loss development and triangles, mortality/morbidity and lapse assumptions, experience studies and credibility, capital and risk metrics at overview level, product design tradeoffs (life, health, P&C, annuity), and regulatory reporting concepts (NAIC, IFRS 17, Solvency II overview—not legal advice). Use when the user mentions actuary, actuarial, IBNR, loss development, reserve analysis, mortality table, pricing insurance, experience study, IFRS 17, loss ratio, combined ratio, credibility, or asks for assumption documentation and model governance for insurance products—not generic FP&A (financial-analyst), investment banking valuation (comps-analysis, dcf-model), legal policy interpretation (commercial-counsel), clinical trials, software-only implementation (senior-software-engineer), or broad GRC without actuarial models (compliance-engineer).

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.

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).

This skill should be used when the user asks about AML/CFT, counter-terrorist financing, CFT, terrorist financing, proliferation financing, PF, targeted financial sanctions, asset freeze, TF typology, charitable NPO due diligence, MVTS, FATF Recommendation 6, or STR terrorist financing. Guides CFT/PF risk—TF typologies (self-funding, charitable fronts, MVTS, trade-based TF), PF and dual-use red flags, TFS and asset-freeze workflows (conceptual), CFT STR/SAR narrative structure, NPO due diligence, correspondent and cross-border TF risks, FATF R6–R8 alignment, sanctions screening integration, CFT training and independent review, exam readiness—not full AML program (KYC, CDD, TM, MLRO) → aml-compliance; sanctions vendor config only; law enforcement tactics; legal determinations. Peers: aml-compliance, compliance-engineer, auditor, commercial-counsel, information-security-engineer.

This skill should be used when the user asks about AML compliance, anti-money laundering, KYC, CDD, EDD, PEP screening, sanctions screening, transaction monitoring, SAR, STR, suspicious activity, FATF, BSA, financial crime compliance, travel rule, AML risk assessment, or MLRO. Guides risk-based AML/CFT programs, alert triage, SAR narrative structure (not legal filing), governance, crypto AML, and exam readiness—not ISO/SOC only (compliance-engineer), cloud attestations (cloud-compliance-specialist), contracts (commercial-counsel), IT audit workpapers (auditor), FinOps (finops-analyst), SIEM build (information-security-engineer), or blockchain LE investigations (blockint skills).

Guides decision frameworks when false positives are costly—thresholds, evidence bars, and escalation so actions are not taken on weak signals. Covers FP/FN trade-offs, base rates, corroboration, tiered response (monitor vs act), security/compliance alert tuning, screening workflows, HITL gates, precision/recall/FDR, decision rationale docs, and alert fatigue. Use when the user mentions false positive, reduce false positives, alert tuning, too many false alarms, precision vs recall, when to escalate, evidence threshold, anti false positive, decision threshold, base rate, corroboration before action, alert fatigue, screening false positive, or don't block on weak signal—not for production ML classifiers (data-scientist, ml-ops-engineer), legal determinations (commercial-counsel), detection rules without decision policy (domain security/AML skills), or generic brainstorming (executive-mentor).

Guides FSA/FSAI fellow-level appointed and chief actuary work—head of actuarial function, statutory reporting accountability (Solvency II, RBC, local appointed-actuary frameworks), actuarial opinion and AA report structure, board and audit committee communication, enterprise actuarial governance, model risk oversight, ORSA and stress governance, M&A/reinsurance/capital actuarial input, independence, and function design. Use for chief actuary, appointed actuary, FSA, FSAI, actuarial opinion, appointed actuary report, head of actuarial, ORSA, actuarial governance, board actuarial, statutory reporting actuary, or model risk governance actuary—not triangles (actuarial-analyst), associate peer review (associate-actuary), technical pricing/reserving (actuary), consulting (actuarial-consulting), assumption policy alone (assumption-setting), ALM detail (asset-liability-management), or legal advice (counsel, compliance-engineer).

Guides associate-level actuarial practice for ASA (SOA, US), ASAI (IAI, India), and analogous associate credentials—role boundaries vs analyst and fellow/chief actuary; credential pathways (high-level); professional standards and confidentiality; signing limits and review chains; leading reserving/pricing workstreams, methodology memos, and peer review; stakeholder communication with management, auditors, and regulators at associate depth; CE/professionalism; career progression; brief cross-border recognition. Use when the user mentions associate actuary, ASA, ASAI, associate of the society of actuaries, actuarial credential, signing authority actuary, professional standards actuary, peer review actuarial, fellowship path, continuing education actuary, or actuarial memo review—not triangle/Excel work (actuarial-analyst), appointed actuary or enterprise risk (actuary), consulting engagements (actuarial-consulting), assumption governance (assumption-setting), or exam tutoring.

Guides defining, documenting, and governing actuarial and risk assumptions for insurance and related models—mortality, morbidity, lapse, discount rates, inflation, loss development, expense, cat, credit; categories and sources; selection methodology and judgment; sensitivity and scenarios; governance and change control; pricing vs reserving vs capital packs; audit trail—not legal or accounting sign-off. Use for assumption setting, set assumptions, mortality/lapse/discount rate/ loss development assumption, assumption governance, assumption documentation, assumption review, change assumptions—not full model build (actuary), consulting SOW (actuarial-consulting), LOB education (property-casualty-insurance, life-health-insurance), pensions (pension-retirement-funds), or FP&A without actuarial context (financial-analyst).

This skill should be used when the user asks to plan or execute internal audit, IT audit, risk-based audit planning, control testing, audit evidence, workpaper documentation, SOC 2 audit support, SOX ITGC testing, walkthroughs, operating effectiveness, deficiency or finding write-ups, remediation retest, or audit report summaries for management or the audit committee. Guides assurance engagements—scoping, framework mapping (COSO, COBIT concepts, SOC 2 trust criteria), design vs operating effectiveness, sampling, ITGC themes (access, change, operations), vendor audit coordination, and governance reporting—not penetration testing (security-engineer, ai-redteam), building controls from scratch (compliance-engineer), legal interpretation (commercial-counsel), PCAOB financial statement audit detail, or blockchain investigation.

Guides CI/CD engineering—pipeline design, build/test/deploy stages, branch and environment strategy, artifact promotion, workflow-level deploy patterns (rolling, blue-green, canary), CI secrets, security gates, flaky tests, monorepo/polyrepo layout, DORA metrics, and rollback/release coordination with platform/SRE. Use when designing or fixing delivery pipelines, GitHub Actions, GitLab CI, Jenkins, release automation, deployment gates, or delivery metrics—not app implementation (senior-software-engineer), K8s cluster internals only (cloud-engineer), SRE on-call/SLO programs (site-reliability-engineer), security policy only (information-security-engineer), or IDP/golden paths (platform-engineer). Triggers: CI/CD, continuous integration, continuous delivery, pipeline design, GitHub Actions, deployment pipeline, build and deploy, release pipeline, DORA metrics, canary deployment, pipeline gates.

Guides CCNP-level enterprise campus and WAN networking—VLAN/STP/RSTP/MST, EtherChannel, stacking, OSPF/EIGRP/BGP fundamentals, redistribution, FHRP (HSRP/VRRP/GLBP), IPv4/IPv6, WAN/SD-WAN design adjacency, assurance (SNMP, NetFlow/IPFIX, telemetry), 802.1X/ACLs/device hardening, enterprise QoS, and structured troubleshooting on IOS-XE, Catalyst, and Meraki. Use when the user mentions CCNP, Cisco Certified Network Professional, OSPF design, EIGRP, BGP enterprise, campus switching, STP troubleshooting, HSRP, enterprise routing, Catalyst switch, IOS-XE, network assurance, redistribution, VLAN design, or CCNP Enterprise—not carrier-scale BGP alone (network-backbone-architect), SD-WAN ops only (sd-wan-engineer), cloud IaC only (cloud-engineer), Wi-Fi RF depth (wireless-wifi-mobility-specialist), security audits (information-security-engineer), cabling without L3 (infrastructure-engineer), or IoT/OT edge (iot-network-edge-engineer).

Reframes messages, requirements, metrics, and decisions for organizational audiences—engineering, product, finance, legal, compliance, sales, operations, actuarial, and executive—by detecting jargon, surfacing implicit assumptions, producing dual-audience briefs, RACI-aligned handoffs, owner-tagged meeting actions, technical-to-business and business-to-technical translation, and escalation summaries. Use when translating for engineering, explaining to finance, cross-department bridging, rewriting for executives, business-friendly versions, technical summaries for leadership, inter-team handoffs, department jargon, or dual-audience briefs—not external customer or brand copy (communication-lead), contract redlines (commercial-counsel), full multi-team program execution (technical-program-manager), human-language i18n/l10n product strings, or strategy-only consulting without audience reframing (business-consultant).

This skill should be used when the user asks for a cryptographer, cryptography review, help to choose a cipher (AES-GCM, ChaCha20-Poly1305, ECDH, RSA tradeoffs), key management, PKI design, TLS configuration, protocol security or handshake review, authenticated encryption, digital signature scheme design, post-quantum migration at architecture level, ProVerif or Tamarin modeling concepts, nonce reuse or IV misuse analysis, HKDF vs password hashing (Argon2), HSM or KMS usage patterns, secure randomness, side-channel and constant-time requirements, or cryptographic agility and algorithm deprecation—not general OWASP web app review only (information-security-engineer), secure coding checklists without crypto depth, Solidity or smart contract audits, blockchain wallet tracing, legal export classification, or shipping custom production crypto without design and review gates.

Guides cleaning and standardizing tabular datasets before analysis, modeling, or reporting—profiling, quality rules, missing values, duplicates, outliers, type coercion, encoding fixes, record linkage, deduplication, high-level PII handling (not legal advice), actuarial/insurance field scrubbing, reproducible scrub pipelines, validation checks, and sign-off. Distinct from warehouse ETL or statistical modeling. Use when the user asks for "data scrubbing", "clean this dataset", "scrub the data", "data cleaning", "dedupe records", "handle missing values", "outlier treatment", "standardize columns", "data quality rules", "profile this table", or "prepare data for modeling". Not warehouse pipelines (data-warehouse-engineer), ML modeling (data-scientist, actuary), privacy programs (compliance-engineer), FinOps only (finops-analyst), or assumption governance (assumption-setting).

Guides data visualization design—chart type selection for message and audience, honest scales and labeling, color and accessibility, executive and operational dashboard layout, actuarial and insurance charts (loss triangles, trends, distributions), ethics and misleading-viz avoidance, and visualization specs for engineers versus slides. Tool-agnostic patterns (matplotlib, plotly, Tableau concepts). Use when the user says "data visualization", "chart type", "dashboard design", "visualize this data", "which chart should I use", "misleading chart", "accessible chart", "executive dashboard", "loss triangle chart", or "data viz spec"—not full statistical analysis, BI platform admin, ETL pipelines, narrative-only storytelling, or hands-on warehouse or dbt modeling.

This skill should be used when the user asks about FIU, financial intelligence unit, AML FIU, case analysis, alert triage, suspicious activity analysis, escalate to MLRO, FIU reporting, transaction monitoring investigation, or FIU workflow. Operates the Financial Intelligence Unit within an AML/CFT program—alert and case intake/triage, financial flow and counterparty analysis, typology-driven investigations, case documentation, QA/peer review, MLRO escalation packs, internal management reporting (not legal filing advice), coordination with TM/compliance/investigations, and FIU metrics/backlog—not enterprise AML policy design (aml-compliance), sole STR/SAR narrative drafting (str-report), CFT/PF-only typologies (aml-cft), IT audit fieldwork (auditor), or technical control evidence (compliance-engineer).

This skill should be used when the user asks about IFRS, International Financial Reporting Standards, IFRS 15 revenue, IFRS 16 leases, IFRS 9 financial instruments, IFRS 10 consolidation, IAS 36 impairment, IFRS 13 fair value, IFRS disclosure notes, IFRS recognition, first-time adoption IFRS, or IFRS vs GAAP. Guides application and explanation of IFRS financial reporting—recognition and measurement by standard, presentation and disclosure (IAS 1, IFRS 7), fair value hierarchy, going concern and materiality, significant judgments and estimates, first-time adoption (IFRS 1), consolidation and business combinations, local GAAP convergence context, and audit-ready note disclosure structure—not US GAAP-only ASC deep dives (note high-level differences only), tax law advice, legal entity structuring, full external audit execution (auditor), ERP configuration (senior-software-engineer), or management accounting without a reporting-standards lens.

Guides life and health insurance—life (term, whole, universal, variable overview), health (individual, group, Medicare/Medicaid overview), disability and LTC, underwriting, policy provisions, claims and benefits administration, reinsurance, distribution, and metrics (lapse, persistency, loss ratio, MLR). Regulatory overview (state DOI, NAIC, ACA, HIPAA privacy—not legal advice). Use for life insurance, health insurance, term life, group health, underwriting life, Medicare, Medicaid, ACA, medical loss ratio, MLR, disability insurance, long-term care, LTC, persistency, reinsurance life—not P&C (property-casualty-insurance), pensions (pension-retirement-funds), actuarial modeling (actuary), actuarial engagements (actuarial-consulting), legal interpretation (commercial-counsel), or GRC without insurance context (compliance-engineer).

This skill should be used when the user asks for markup detection, detect manipulation, image tampering, deepfake detection, document integrity, hidden markup, metadata forensics, EXIF analysis, content authenticity, synthetic media, altered image, C2PA, or provenance verification across documents, images, and video. Guides workflow-level assessment of visual tampering indicators (splicing, cloning, inconsistent lighting or shadows, compression artifacts), metadata and provenance checks (EXIF, hashes, source chain), document revision and hidden markup (tracked changes, comments, invisible text), synthetic-media and deepfake red flags, watermarking and content-credentials concepts, and structured reporting with confidence levels and explicit limitations—not training detection models (ml-research-engineer-safeguards), cryptographic watermark design (cryptographer-specialist), full digital forensics lab attribution or legal conclusions, or blockchain-only tracing unless the user scopes on-chain context.

Guides research and analysis for microservices architecture decisions—domain decomposition, bounded contexts, service boundary options and trade-offs, sync vs async integration patterns, data ownership and consistency (eventual consistency, sagas at research level), API and contract evolution, Team Topologies alignment, build vs buy vs managed services, monolith strangler migration, NFR impact (latency, reliability, operability), and decision records with options and recommendations. Use for microservice research, service boundaries, bounded context, strangler fig, monolith to microservices, saga vs two-phase commit, domain decomposition, microservices trade-off, team topologies, eventual consistency research, API versioning strategy—not assessing an existing estate (microservices-analyst), production service code (senior-software-engineer, platform-engineer), Kubernetes cluster ops only (cloud-engineer), pure network design (network-backbone-architect), or EDA implementation when building not researching

Design carrier- and enterprise-scale backbone networks—core/distribution/edge topology, OSPF, IS-IS, BGP and route policy, WAN/MPLS/SD-WAN, DCI, peering, transit, IX, anycast, ECMP, BFD, FRR, addressing, backbone QoS, capacity, maintenance domains, and observability (NetFlow, SNMP, telemetry); EVPN/VXLAN spine-leaf where relevant. This skill should be used when the user asks about network backbone, backbone architect, BGP design, OSPF, IS-IS, WAN architecture, MPLS, SD-WAN, data center interconnect, DCI, internet peering, transit provider, IX, core network design, route policy, ECMP, network redundancy, spine-leaf, or EVPN—not app HTTP/API (enterprise-integration-api-developer), cloud landing zone or VPC only (cloud-architect, enterprise-cloud-architect), host or endpoint security (information-security-engineer), cloud/Linux sysadmin (cloud-system-administrator), cabling without routing (infrastructure-engineer), or OT/ICS (scada-ics-cyber-security-specialist).

Guides pre-credential actuarial foundations—probability and statistics for actuaries, financial math (interest, annuities, loans, duration intro), insurance risk concepts, spreadsheet/R/Python literacy, SOA/CAS/IAI path overview, and quantitative study discipline. Use for pre-actuarial, actuarial foundations, probability for actuaries, financial mathematics basics, interest theory, starting actuarial career, SOA exam path, actuarial science basics, learn actuarial math, or entry level actuary preparation—not ASTAM/ALTAM (advanced-short-term-actuarial-mathematics, advanced-long-term-actuarial-mathematics), workpapers (actuarial-analyst), signing/governance (associate-actuary, appointed-chief-actuary), generic calculus homework, or ML (data-scientist, quantitative-researcher).

Guides applied predictive analytics for business—target and leakage framing, tabular feature engineering, regression and classification models (baselines, boosting, regularized linear), validation splits and metrics, calibration and cost-sensitive thresholds, practitioner explainability (importance, SHAP), drift monitoring concepts, and uncertainty comms. Covers churn, demand, fraud, propensity, risk scores—not actuarial reserving. Use for "predictive analytics", "build a predictive model", "propensity model", "churn prediction", "demand forecast model", "classification model", "feature engineering", "model validation", "predict customer behavior", "risk score model", or "predictive modeling workflow". Not for MLOps (ml-infrastructure-engineer-safeguards), DL research (ml-research-engineer-safeguards), actuarial reserving (actuarial-analyst), BI only (data-visualization), warehouse/dbt only (data-warehouse-engineer, analytics-data-engineer), or A/B tests (ab-testing-engineer).

Guides quantitative research for markets and finance—research question framing, data sourcing and quality checks, descriptive and inferential statistics, time series and panel methods (high level), factor and signal research, backtest design and pitfalls (lookahead, survivorship), risk metrics (volatility, drawdown, Sharpe limitations), regime and stress analysis, and reproducible notebooks or reports with explicit limitations and uncertainty communication. Use when the user mentions "quantitative research", "quant researcher", "factor research", "signal backtest", "time series analysis", "panel regression", "alpha research", "Sharpe ratio analysis", "survivorship bias", "lookahead bias", "econometric analysis", or "risk factor model". Not for production ML pipelines (data-scientist, ml-research-engineer), equity narrative reports (equity-research skills), SOX accounting (financial-statements), legal investment advice, or trading execution systems (senior-software-engineer).

Design, deploy, and operate SD-WAN—overlay WAN (hub-spoke, mesh, regional hubs), underlay overlay (MPLS, broadband, LTE/5G), path selection, application-aware routing, SASE, zero trust WAN, branch connectivity, orchestration templates, NGFW/SWG/ZTNA insertion, HA, and brownfield SD-WAN migration; vendor-agnostic (Viptela, VeloCloud, Prisma SD-WAN). This skill should be used when the user asks about SD-WAN, software-defined WAN, SDWAN engineer, overlay WAN, path selection, application-aware routing, hub-spoke SD-WAN, SASE, zero trust WAN, branch connectivity, underlay overlay, VeloCloud, Viptela, Prisma SD-WAN, WAN optimization, or brownfield SD-WAN migration—not carrier BGP/MPLS backbone-only (network-backbone-architect), cloud VPC design (cloud-architect, cloud-engineer), enterprise APIs (enterprise-integration-api-developer), endpoint security program only (information-security-engineer), or physical DC cabling (infrastructure-engineer).

This skill should be used when the user asks to build or evaluate sentiment and opinion-mining systems—label schemas, lexicon/ML/transformer/LLM classifiers, annotation and IAA, F1/calibration, domain adaptation, multilingual/code-switching, sarcasm/negation/bias, and production inference with drift monitoring. Triggers: sentiment analysis, sentiment engineer, opinion mining, text classification, aspect-based sentiment, ABSA, fine-tune sentiment, sentiment model, polarity detection, emotion detection, review sentiment, social media sentiment, sentiment labeling, sentiment evaluation, sarcasm detection, multilingual sentiment. Not for marketing copy (content-creator), MLOps without NLP (ml-ops-engineer), general data science (data-scientist), social campaigns (social-content), safety-classifier R&D (ml-research-engineer-safeguards), or legal outcomes from scores alone.

This skill should be used when the user asks to forecast aggregate sentiment and opinion dynamics over time—sentiment indices from text streams; temporal rollups; leading/lagging KPI links; time-series and sequence models (ARIMA, Prophet, state-space, ML); nowcasting; spikes, bots, and bias; walk-forward backtests; intervals and scenarios; volume/velocity/topic features; BI or brand dashboards. Triggers: sentiment forecasting, forecast sentiment, sentiment index, opinion trend forecast, social sentiment time series, brand sentiment trajectory, nowcast sentiment, sentiment leading indicator, aggregate polarity forecast, sentiment backtest, walk-forward sentiment, sentiment spike prediction. Not for per-text labeling (sentiment-analysis-engineer), demand forecasting without sentiment (predictive-logistics-developer, data-scientist), trade advice (methodology only), marketing copy (content-creator), macro without text sentiment (financial-analyst partial).

Guides organizational and business storytelling—narrative structure (setup, tension, resolution), audience-tailored stories for executives, customers, boards, and teams, honest data and metrics framing, product and strategy narratives, incident and postmortem storytelling, and actuarial or insurance risk narratives for non-technical audiences. Covers story spine, key messages, and visual or slide narrative outlines. Use when the user says "tell the story", "storytelling", "narrative for executives", "data story", "board presentation narrative", "explain with a story", "story arc", "key message", "compelling narrative", "pitch story", or "incident story"—not cross-department reframing only (cross-department-translation), company-wide comms cadence and crisis wording packs (communication-lead), long-form creative fiction or screenwriting, brand copy without strategy context, or technical documentation and API reference (tech-writer-researcher).

This skill should be used when the user asks to draft or structure STR reports, suspicious transaction reports, SAR, suspicious activity reports, draft STR, STR narrative, file suspicious activity, AML STR, goAML, FinCEN SAR, suspicion narrative, or MLRO report. Guides jurisdiction-agnostic STR/SAR drafting—narrative structure (who, what, when, where, why suspicious), red flags and typologies, transaction aggregation and chronology, subject identification fields, supporting documentation checklists, quality review before filing, and escalation to MLRO/compliance—not TM rule building (aml-compliance), full LE case management, legal filing duty determination (commercial-counsel), or deep blockchain tracing (blockint skills). Complements aml-compliance, aml-cft, auditor, compliance-engineer, and commercial-counsel.

Guides Validation by Educational Experience (VEE) for North American actuarial credential paths (SOA, CAS)—how VEE fits preliminary requirements, current topic areas (Economics, Accounting & Finance, Mathematical Statistics; subject to society updates), approved-course criteria, candidate workflow and documentation, SOA vs CAS submission timing relative to ASA/ACAS progress, international/transfer considerations, and common pitfalls. Use for VEE, validation by educational experience, VEE credit, actuarial VEE requirements, SOA VEE, CAS VEE, VEE economics, VEE statistics, VEE accounting and finance, college credit for actuarial exams, submit VEE transcript—not deep exam study (pre-actuarial-foundations, advanced-short-term-actuarial-mathematics, advanced-long-term-actuarial-mathematics), workpapers (actuarial-analyst), signing (associate-actuary, appointed-chief-actuary), official transcript qualification rulings, or generic degree planning.

Enterprise WLAN for mobile users—RF/site surveys, AP placement, 802.11 (Wi-Fi 5/6/6E/7), channel/power planning, SSID/VLAN segmentation, WPA3/802.1X/RADIUS, guest/captive portal, roaming (802.11k/r/v, band steering), high-density and mesh/outdoor, LAN/SD-WAN edge integration, troubleshooting (SNR, DFS, CCI). This skill should be used when the user asks about Wi-Fi, wireless mobility, WLAN design, wireless survey, AP placement, 802.11, Wi-Fi 6, Wi-Fi 6E, roaming, 802.11k, 802.11r, band steering, WPA3, 802.1X, enterprise wireless, high density Wi-Fi, channel planning, RF interference, wireless troubleshooting, Aruba, Meraki wireless, or Cisco wireless—not cellular RAN/5G core, MPLS/BGP backbone (network-backbone-architect), SD-WAN overlay (sd-wan-engineer), cloud VPC only (cloud-architect), MDM-only, or OT ISA wireless (scada-ics-cyber-security-specialist).

Guides authoring, review, optimization, and false-positive debugging of YARA-X detection rules for malware identification across PE, script, npm, Office, Chrome extensions (crx module), and Android DEX (dex module). Covers string and atom quality, condition short-circuiting, legacy YARA migration, yarGen/FLOSS workflows, goodware validation, and production deployment—not full malware reverse engineering, network IDS (Suricata/Snort), or memory forensics (Volatility). Use when the user asks to write YARA rule, YARA-X, yr check, yr scan, false positive YARA, yarGen, malware detection rule, crx module, dex module, optimize YARA performance, or migrate legacy YARA.

Guides advanced persistent threat (APT) analysis—nation-state and sophisticated criminal campaigns, long-dwell intrusions, campaign lifecycle tracking, MITRE ATT&CK TTP mapping, infrastructure and malware correlation, attribution with explicit confidence levels, intel fusion for hunts and IR, detection-engineering handoffs, and executive strategic briefings. Use for APT, advanced persistent threat, nation-state threat, state-sponsored campaign, long-dwell intrusion, APT attribution, campaign tracking, APT infrastructure, strategic threat briefing, sophisticated intrusion analysis—not routine SOC alert triage (soc-analyst), generic proactive hunt playbooks only (threat-hunter), CTI feed and source management only (cti-analyst), incident command (incident-responder), penetration testing (penetration-tester), or AI/LLM red team (ai-redteam).

Guides hands-on development of agentic AI systems—agent loops (plan → act → observe), tool and MCP schemas, multi-agent orchestration and handoffs, state/checkpointing, HITL gates, agent prompts, reliability (retries, idempotency, cancellation), observability, trajectory evaluation, tool sandboxing, injection awareness, and deployment (API, queue, durable workflows). Framework-agnostic with optional LangGraph, Deep Agents, and Cursor SDK pointers—not full framework docs. Use for agentic AI, build an agent, agent loop, tool use, MCP integration, multi-agent, agent orchestration, LangGraph, agentic workflow, AI agent developer, agent handoff, agent memory, HITL agent, evaluate agent, or agentic application—not model training (ai-engineer), ML research (ai-researcher), product strategy only (cpo-advisor), architecture whiteboard only (agent-designer, external), generic backend without agent loops (senior-software-engineer), or red-team only (ai-redteam).

Adversarial robustness engineering for ML/AI—evasion, poisoning, extraction, membership-inference threat models; robust training, sanitization, detectors; ASR/certified evals; lab model attacks; data-pipeline integrity; production I/O guardrails (classical ML and LLM/multimodal). Use for adversarial examples, robustness suites, poison audits, deploy guardrails—not LLM app red team (ai-redteam), governance (ai-risk-governance), safety classifier R&D (ml-research-engineer-safeguards), safeguard serving (ml-infrastructure-engineer-safeguards), privacy research (privacy-research-engineer-safeguards), AppSec pentest (penetration-tester).

Guides production AI engineering—LLM apps, RAG, agents, eval harnesses, observability, cost/latency, and safe deployment. Use when building chatbots, copilots, retrieval, agent workflows, model routing, or LLM API integration—not research synthesis (ai-researcher), AI policy (ai-risk-governance), red-team (ai-redteam), prompt-only work (prompt-engineer), non-AI ADRs (senior-system-architecture), token programs (ai-token-improvement-plan-engineer), solution architecture (applied-ai-architect-commercial-enterprise), skills portfolio (ai-skill-manager), or vertical AI engineering management (engineering-manager-vertical-ai-products). Agent prompt authoring and eval harness design: prompt-engineer-agent-prompts-evals. Safeguard inference gateways and moderation infra: ml-infrastructure-engineer-safeguards. Safeguard classifier research: ml-research-engineer-safeguards.