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Amazon-Quick-official-catalog
Amazon-Quick-official-catalog enthält 74 gesammelte Skills von Amazon-Quick, mit Repository-Berufsabdeckung und Skill-Detailseiten auf SkillsMP.
Skills in diesem Repository
Size battery energy storage systems, model lithium-ion degradation, co-optimize revenue streams, and build degradation-adjusted financial pro-formas. Use when asked to 'size a battery', 'model BESS degradation', 'optimize battery dispatch', 'run a storage pro-forma', 'evaluate peak shaving', 'analyze energy arbitrage', 'model solar plus storage', or any battery energy storage sizing, dispatch, or investment analysis.
Calculate an organization's greenhouse gas emissions across Scopes 1, 2, and 3 following the GHG Protocol Corporate Standard, then produce an interactive dashboard and an audit-ready workbook. Use when asked to 'calculate our carbon footprint', 'build a GHG inventory', 'measure Scope 1 2 3 emissions', 'create an emissions report', 'run corporate carbon accounting', or model 'emissions reduction scenarios', or any organizational greenhouse gas accounting request
Quantitative drilling performance analysis across the well lifecycle covering wellbore positioning, drilling efficiency, and economics. Use when asked to 'calculate a wellbore survey', 'run minimum curvature', 'compute MSE', 'analyze drilling efficiency', 'parse a daily drilling report', 'plot a mud weight window', 'track cost per foot', 'classify NPT', or 'benchmark wells against offsets', or any drilling optimization, trajectory, or well-planning analysis request
Conduct multi-source energy market research and produce cited intelligence briefings on commodities, policy, regulation, technology, and competitive dynamics. Use when asked to 'research energy markets', 'produce an energy market briefing', 'analyze oil, gas, power, or carbon markets', 'assess energy policy or regulation', 'forecast commodity prices', or any request for sourced energy market intelligence
Produce electrically feasible, financially justified electric vehicle (EV) fleet electrification plans grounded in duty-cycle, site electrical, and tariff data. Use when asked to 'plan fleet electrification', 'size EV chargers', 'model fleet charging load', 'assess site electrical capacity for EV charging', 'compare EV vs internal combustion total cost of ownership', 'optimize managed charging', 'assess grid impact of fleet charging', or build a phased fleet transition plan.
Perform long-range transmission and distribution capacity planning: load growth forecasting, distributed energy resource hosting capacity, N-1 contingency screening, transfer capability, substation loading, and capital investment plans. Use when asked to 'forecast load growth', 'run a hosting capacity analysis', 'screen N-1 contingencies', 'calculate ATC or transfer capability', 'assess substation loading', or 'build a capital investment plan' for a power grid
Optimize sizing, dispatch, resilience, and financials for grid-connected or islanded microgrids. Use when asked to 'design a microgrid', 'size solar plus storage', 'optimize a hybrid energy system', 'run a microgrid feasibility study', 'model dispatch for a distributed energy resource', 'calculate levelized cost of energy for a microgrid', 'analyze backup resilience and hours of autonomy', or any distributed-energy techno-economic sizing request
Analyze thermal power plant performance: heat rate, NERC GADS availability metrics, thermodynamic cycle modeling, ambient corrections, degradation trending, and fleet benchmarking. Use when asked to 'calculate heat rate', 'compute EFOR or availability', 'model a Rankine or Brayton cycle', 'apply ambient corrections', 'trend plant degradation', 'benchmark against the NERC fleet', or analyze thermal generation efficiency
Quantitative hydraulic fracturing and completion analysis: Nolte-Smith treatment-pressure diagnostics, Diagnostic Fracture Injection Test (DFIT) G-function closure analysis, completion economics, and matched-pair design comparison. Use when asked to analyze treatment pressure, identify fracture propagation mode, run a G-function or DFIT analysis, find closure pressure, compare completion designs, optimize stage or cluster spacing, calculate Estimated Ultimate Recovery (EUR) per dollar or Net Present Value (NPV), or track frac fleet efficiency
Apply Clinical Data Interchange Standards Consortium (CDISC) decision frameworks for regulatory submission compliance across the Study Data Tabulation Model (SDTM), the Analysis Data Model (ADaM), define.xml, and controlled terminology. Use when asked to 'check SDTM compliance', 'map data to an SDTM domain', 'decide what goes in SUPPQUAL', 'plan define.xml value-level metadata', 'triage Pinnacle 21 findings', 'prioritize data queries', 'compare FDA and PMDA submission requirements', or any CDISC submission data standards question
Provide deterministic, copy-paste-ready Python and SQL for healthcare claims processing and billing-integrity screening. Use when asked to 'parse X12 837/835 claims', 'profile provider E&M billing', 'detect upcoding', 'validate NCCI edits', 'find duplicate claims', 'run Benford's Law on charges', 'flag impossible billing days', or any claims analytics or outlier-detection task
Provide deterministic Python and SQL for calculating Healthcare Effectiveness Data and Information Set (HEDIS) quality measures from claims and clinical data. Use when asked to 'calculate a HEDIS measure', 'check continuous enrollment', 'detect care gaps', 'compute utilization rates', 'identify high-cost claimants', 'score a risk index', or any healthcare quality measure calculation task.
Interpret Healthcare Effectiveness Data and Information Set (HEDIS) quality measure logic: denominator, numerator, exclusions, continuous enrollment, audit readiness, and Star Rating care gap prioritization. Use when asked to 'interpret a HEDIS measure', 'evaluate continuous enrollment', 'apply HEDIS exclusions', 'check NCQA audit readiness', 'calculate a measure rate', 'prioritize care gaps', or any HEDIS specification reasoning
Evaluate prior authorization (PA) clinical policies, coverage determinations, step therapy protocols, and appeal strategy. Use when asked to 'evaluate a prior authorization request', 'assess medical necessity', 'check step therapy requirements', 'determine Medicare LCD or NCD coverage', 'plan a PA appeal', 'prepare for a peer-to-peer review', or any request involving payer authorization criteria, denial reason codes, formulary exceptions, or Da Vinci PAS submissions
Generate deterministic code and pipeline recipes for automating prior authorization (PA) workflows: parsing X12 278 and FHIR PAS requests, extracting clinical features, rules-based adjudication, training machine learning classifiers, and analyzing denial patterns. Use when asked to 'parse a prior authorization request', 'build a PA adjudication engine', 'train a PA decision model', 'explain a PA denial', 'analyze denial patterns', or any prior authorization automation task
Assess a financial services architecture diagram against the AWS Well-Architected Financial Services Industry (FSI) Lens, rate maturity across the six pillars, and produce prioritized recommendations. Use when asked to 'assess my architecture against the FSI Lens', 'run a Well-Architected FSI review', 'check this diagram for FSI compliance gaps', 'review my financial services architecture', or any request to evaluate an FSI workload diagram against Well-Architected best practices.
Navigate and search the Amazon Quick Community, the public forum where Quick users ask questions, access learning content, attend live events, join local user groups, and share dashboards. Routes users to the right community section, searches for existing answers to questions, and provides awareness summaries of what the community offers. Use when asked about 'quick community', 'community resources', 'find an answer', 'learning resources', 'user groups', 'community events', or 'developer corner'.
Build agent skills for Amazon Quick following skill construction best practices. Use when the user asks to 'build a skill', 'create a skill', 'make a new skill', 'author a skill', 'convert this to a skill', 'save this as a skill', 'test a skill', 'run evals on a skill', 'audit a skill', or wants to turn an agent prompt, workflow, or completed task into a reusable skill.
Repurposes a single piece of long-form content (blog post, whitepaper, talk transcript) into multiple platform-specific formats in one pass: LinkedIn posts, X/Twitter threads, newsletter blurbs, email summaries, slide talking points, and short-form video scripts. Adapts tone, length, and structure per platform. Use when asked to 'repurpose this content', 'turn this blog into social posts', 'create a content package', 'adapt this for LinkedIn', 'multi-platform from this article', or 'content atomization'.
Compare two documents side-by-side, highlighting differences and generating a structured change summary. Use when the user says 'compare these docs', 'what changed between versions', 'diff these files', 'document comparison', or 'show differences between [file A] and [file B]'.
Mandatory writing ruleset that eliminates detectable AI-generated patterns from all prose output, enforcing concrete specificity, AI-tell vocabulary replacement, punctuation discipline, and a 13-point self-check on every draft. Use for any 'writing', 'editing', or 'drafting' task, or when asked to 'compose', 'write an email', 'draft a document', 'rewrite this', 'make this sound less like AI', or any request that produces prose for a human reader.
Transforms meeting transcripts, raw notes, or audio transcriptions into structured outputs: key decisions made, owned action items with deadlines, open questions, and a concise executive recap. Supports multiple output formats. Use when asked to 'summarize this meeting', 'extract action items', 'what were the decisions', 'meeting recap', 'process these meeting notes', or 'turn transcript into actions'.
Translate Word docs and PowerPoint presentations to any supported language. Preserves all formatting, styles, layouts, tables, and hyperlinks with context-aware translation for natural, accurate results. Handles large documents quickly using logic over LLM reasoning for deterministic outcomes. Includes a custom translation glossary for your specific terminology. Use when the user says 'translate this document', 'translate this presentation', 'convert to French', 'translate word doc', 'translate slides', 'make a German version', 'translate this DOCX', 'translate this pptx', or any request to produce a translated version of a Word or PowerPoint file.
Computes multi-dimensional customer health scores across usage, engagement, support, and relationship dimensions. Classifies accounts as Healthy/At-Risk/Critical with segment-aware benchmarking and produces actionable intervention recommendations. Use when asked to 'score customer health', 'account health check', 'which customers are at risk', 'customer health report', 'renewal risk assessment', or 'portfolio health overview'.
Classifies incoming support tickets by category, urgency, and complexity. Applies routing rules to assign teams, generates initial response drafts, and flags escalation candidates based on customer tier, issue severity, and Service Level Agreement (SLA) proximity. Use when asked to 'triage these tickets', 'classify support requests', 'route this ticket', 'prioritize the queue', 'which tickets need escalation', or 'auto-categorize support inbox'.
Analyzes funnel data from uploaded CSV/Excel files (exported from any analytics platform) to identify conversion blockers, quantify revenue impact, and deliver actionable recommendations. Use when asked 'why is conversion down', 'funnel analysis', 'conversion drop', 'checkout abandonment', 'where are we losing customers', 'conversion blockers', or 'site experience issues'.
Translates natural language questions into SQL queries, executes against the connected data warehouse, and presents results with visualizations. Enables non-technical retail users to self-serve analytics without writing SQL. Use when asked to 'how many units did we sell', 'show me returns by category', 'what is our revenue trend', 'top selling products', 'compare regions', 'query the data', or any analytical question about retail metrics.
Automated weekly performance intelligence that replaces dashboard reviews with synthesized insights and recommended actions for retail merchandising leaders. Use when asked to 'give me my Monday briefing', 'weekly performance summary', 'what needs attention this week', 'category performance review', 'merchandising dashboard', or 'what happened last week in [category]'.
Create a custom PowerPoint theme with consistent colors, fonts, and slide layouts from style preferences. Use when the user says 'create a presentation theme', 'design my slide template', 'build a deck theme', 'custom PowerPoint template', 'presentation style', 'branded slide deck', or any request to generate a reusable slide template with custom visual identity.
Convert any document (DOCX, PDF, or Markdown) into a professional PowerPoint presentation with smart layout selection and visual hierarchy. Use when asked to 'turn this into slides', 'make a deck from this doc', 'convert to presentation', 'document to powerpoint', 'create slides from this file', 'slide deck from this', 'present this as a deck', or any request to transform a written document into a slide presentation.
Apply a brand guide or style template to any document, presentation, or generated output, enforcing colors, fonts, tone of voice, logo placement, and formatting rules. Use when the user says 'apply brand guide', 'enforce template', 'match this style', 'make it consistent with our brand', 'apply our formatting', 'style this document', or any request to align a document with a visual/brand standard.
Shows all upcoming bills from QuickBooks, optimizes payment timing against cash position, flags early-pay discounts, and prepares a prioritized, ready-to-pay plan for the owner to action. Read-only: it never moves money or changes anything in QuickBooks. Use when asked 'what bills do I need to pay', 'what's due this week', 'which bills can wait', 'can I afford my bills', 'optimize my payments', 'what's my cash position after bills', 'bill pay', 'vendor payments', or any request to plan accounts payable.
Delivers a plain-language business health briefing for owner-operators by synthesizing cash position, receivables, payables, schedule, and anomalies from QuickBooks. Use when asked 'how's my business doing', 'business pulse', 'what's my cash position', 'who owes me money', 'what do I owe this week', 'give me my morning briefing', 'daily summary', 'where do we stand financially', or any request for a quick financial health snapshot.
Collect a deposit before work starts, so the cash arrives before the labor and materials go out. Use when asked 'collect a deposit', 'request a deposit', 'get a deposit before I start', 'invoice a deposit', 'bill upfront', or when a new job is booked and the owner wants money down first. Creates a deposit request in QuickBooks for a configurable percentage, sends it with a payment link after approval, confirms when it clears, records it as a customer prepayment (a liability), and on job completion nets it against the final invoice.
Pulls overdue invoices from QuickBooks, segments them into Friendly / Firm / Final Notice tiers by days overdue, drafts tone-appropriate follow-up emails and SMS, and sends only after owner approval. Supports scheduled automation and customer segmentation. Use for overdue invoice follow-up, AR aging review, or collections - when asked 'who hasn't paid me?', 'what's overdue?', 'chase unpaid invoices', 'send payment reminders', 'run collections follow-up', or 'set up automatic reminders'.
Create and send an invoice as soon as a job is complete. Use when the user says 'invoice the job', 'send invoice', 'bill the customer', 'get me paid', or describes completing work and needing to invoice. Built for field service businesses (plumbers, HVAC, landscapers, consultants) that need to invoice promptly after finishing work.
Guides finance teams through the month-end close process with structured checklists, reconciliation task tracking, journal entry templates, variance analysis with commentary, and close status dashboards. Adapts to the organization's chart of accounts and close calendar. Use when asked to 'start month-end close', 'close checklist', 'reconciliation status', 'variance analysis', 'journal entry template', or 'where are we on the close'.
Project whether you can cover payroll on an upcoming payday using only the cash you actually control. Use when the user says 'payday cash check', 'project cash for payday', 'cash flow projection', 'will I make payroll', 'can I make payroll this week', or asks about cash runway before a payroll date. Computes a conservative cash floor (cleared bank cash minus a buffer minus every must-pay obligation due before payday) and shows expected invoice collections only as separately labeled upside, never as part of the verdict.
Scrapes structured data from static web pages into JSONL and exports to CSV, XLSX, or JSONL. Use when asked to 'scrape a website', 'extract data from these URLs', 'collect listings into a spreadsheet', 'paginate through search results', 'crawl a sitemap', or 'pull records from a page'. Handles URL-parameter pagination, next-link following, and URL lists; not JavaScript-rendered pages
Scan a folder, analyze file contents and naming patterns, then propose renaming, categorization, and folder structure improvements. All changes require explicit user confirmation before execution. Use when asked to 'organize this folder', 'clean up my files', 'sort these documents', 'rename my files', 'folder structure suggestions', 'tidy up this directory', or any request to restructure a messy directory.