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Found 251 Skills
Sync design tokens between code and Figma variables with strict drift reporting, mandatory approval gate, safe delta apply, and persisted reports.
Generate clear, accurate performance reports for investment portfolios with benchmarks, attribution, and risk dashboards. Use when the user asks about portfolio performance reports, return summaries, benchmark comparison, risk dashboards, goal progress tracking, or GIPS-compliant reporting. Also trigger when users mention 'quarterly report', 'how did my portfolio do', 'time-weighted vs money-weighted return', 'annualized returns', 'net-of-fee performance', 'rolling Sharpe', or ask how to present investment results to clients.
Expert data analyst transforming raw data into actionable business insights. Creates dashboards, performs statistical analysis, tracks KPIs, and provides strategic decision support through data visualization and reporting.
Independent model QA expert who audits ML and statistical models end-to-end - from documentation review and data reconstruction to replication, calibration testing, interpretability analysis, performance monitoring, and audit-grade reporting.
How to read paid media dashboards without fooling yourself. Attribution models, platform reporting quirks, multi-platform reconciliation, ROAS vs LTV horizon traps, statistical noise in performance metrics, incrementality testing, and the failure modes that produce expensive lessons. Triggers on read paid media dashboard, attribution analysis, ROAS vs LTV, multi-platform reconciliation, ad incrementality, geo holdout, conversion lift study, ghost bidding, paid media reporting, board-deck paid media metrics, blended CAC, MMM, MTA, last-click attribution. Also triggers when a marketer is about to scale, kill, or rebudget a campaign based on platform metrics, or when reconciling platform reports against warehouse revenue.
Use this skill when an AI agent needs to manage, audit, report on, create, pause, update, or troubleshoot Meta/Facebook/Instagram ads through Meta's official Ads CLI (`meta ads ...`). It is designed for any shell-capable agent, not just OpenClaw. It focuses on safe command planning, JSON output, confirmation gates, read-before-write behaviour, paused-by-default launches, reporting workflows, datasets/pixels, catalog/product operations, and failure handling.
Quarterly and annual operating data for listed companies via Longbridge Securities — revenue, net income, EPS, ROE, gross margin, and other KPIs broken down by reporting period. Complements longbridge-fundamental with period-by-period trend detail. Note: currently returns data for HK-listed stocks only; US and A-share symbols return empty results. Triggers: "经营数据", "运营指标", "分季度财务", "经营情况", "季度营收", "季度利润", "财务趋势", "经營數據", "運營指標", "分季度財務", "季度營收", "季度利潤", "operating data", "quarterly financials", "operating indicators", "quarterly revenue", "quarterly profit", "financial trend by period", "700.HK operating", "按期次财务", "按期次財務".
Claude Code subagents for offensive security research, penetration testing planning, recon analysis, exploit research, detection engineering, and security reporting
Navigate and analyze Israeli corporate annual reports (dochot titkuftiim), financial filings, and regulatory disclosures. Use when user asks about Israeli annual reports, MAYA filings, IFRS financial statements, doch titkufti, dochot kaspiyim, or Companies Law reporting requirements. Covers TASE filing types, Israeli GAAP to IFRS transition, Hebrew financial terminology, and key financial statement analysis.
Guides proactive threat hunting for advanced SOC—hypothesis-driven hunt campaigns, advanced SIEM/query workflows, baseline and anomaly analysis, MITRE ATT&CK–aligned techniques, threat intel fusion, detection engineering feedback, and hunt reporting with IR handoff. Use for threat hunting, proactive hunt, hypothesis-driven detection, advanced SOC, hunt campaign, detection engineering, MITRE ATT&CK hunt, anomaly hunting—not routine SOC alert triage (soc-analyst), declared incident command (incident-responder), adversary simulation campaigns (red-team-specialist), disk forensics acquisition (digital-forensics-analyst), authorized pentest (penetration-tester), or binary RE lab work (reverse-engineer).
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).
External NeMo-RL end-to-end validation workflow for Megatron-Bridge model/provider changes, including downstream compatibility checks, external RL lifecycle behavior, Megatron policy setup, HF import/export, checkpoint/resume, non-colocated vLLM refit, delta weight transfer, optional LoRA/generation variants, and questions such as "does this model work in NeMo-RL", "run NeMo-RL e2e", or "external RL loop validation". Covers running NeMo-RL Megatron policy jobs from a Bridge checkout, choosing GRPO/SFT/checkpoint/non-colocated refit variants, setting PYTHONPATH so NeMo-RL imports the local Bridge tree, and reporting pass/fail evidence.