1.1천건 · 관련도순
Evaluates fund-of-funds secondary transactions with layer-on-layer fee analysis, double-carry impact, and net return adjustment. Use when pricing FoF secondaries, analyzing fee drag, or modeling net LP economics.
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Designs rebalancing triggers with calendar-based, threshold-based, and hybrid approaches with tax and cost optimization. Use when designing rebalancing rules, optimizing rebalancing frequency, or modeling turnover impact.
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Structures PPA analysis with tangible/intangible asset identification, useful life estimation, and goodwill calculation. Use when modeling purchase accounting, allocating deal price, or estimating amortization impact.
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Coordinates large block execution with market impact minimization, counterparty selection, and crossing network utilization. Use when executing block trades, managing large orders, or minimizing market footprint.
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Tracks margin requirements with initial/variation margin, portfolio margin optimization, and collateral eligibility analysis. Use when managing margin, optimizing collateral, or analyzing portfolio margin impact.
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Assesses litigation outcome impact with settlement probability, damage range estimation, and stock price sensitivity analysis. Use when evaluating litigation catalysts, modeling legal outcomes, or analyzing litigation-driven opportunities.
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Evaluates environmental compliance requirements with permitting risk, mitigation obligations, and ESG assessment for infrastructure investments. Use when assessing environmental risk, evaluating permitting timelines, or analyzing environmental compliance.
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Structures infrastructure DD with technical assessment, regulatory review, environmental analysis, and community impact evaluation. Use when conducting infra DD, evaluating asset condition, or assessing regulatory risk.
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Evaluates SPAC de-SPAC transaction economics with sponsor dilution, redemption risk, PIPE analysis, and warrant impact. Use when analyzing SPAC deals, evaluating sponsor economics, or modeling de-SPAC outcomes.
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Deconstructs VC term sheets with liquidation preference waterfalls, anti-dilution mechanics, and option pool impact analysis. Use when analyzing term sheets, comparing investor terms, or modeling founder dilution.
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Evaluates secondary offering types including overnight blocks, marketed deals, ATMs, and bought deals with dilution analysis. Use when analyzing follow-on options, structuring secondary offerings, or evaluating dilution impact.
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Evaluates lock-up expiration impact with float analysis, insider selling patterns, and supply overhang assessment. Use when analyzing lock-up expirations, modeling supply dynamics, or assessing post-IPO trading patterns.
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Evaluates optimal leverage with WACC minimization, rating impact, and financial flexibility assessment across market conditions. Use when optimizing capital structure, analyzing target leverage, or evaluating rating implications.
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Evaluates amendment and waiver requests with consent requirements, fee structures, and modified term impact analysis. Use when analyzing amendments, structuring consent solicitations, or evaluating covenant relief requests.
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Prepares credit rating agency presentations with methodology alignment, peer positioning, and target rating analysis. Use when advising on credit ratings, preparing rating agency meetings, or analyzing rating methodology impact.
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Use this skill when someone wants to know where to start with the grcskills library, or asks "review my GRC setup", "what should I fix before the audit", "which compliance skills do I need", "audit my ISMS folder", "give me a 30-day compliance plan" or "rank the skills for my company". Reads the frontmatter of every skill in the library, inspects the compliance material the agent can reach (repo, policy folder, registers, platform exports), ranks the 10 skills that would help most with impact, effort and evidence for each, audits what is broken, duplicated or missing, and writes a 30-day plan to files in a grc-setup-review folder. Read-only on everything else.
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Use this skill when a company with a security applicability statement extends its management system to privacy or to AI, and asks "extend our SoA for privacy", "which privacy controls apply to a processor", "AI controls applicability", "SoA for our AI management system", "are we controller or processor for this" or "do the AI development controls apply if we only use a model". Settles the company's role per processing activity and per AI system, decides applicability of the additional controls from those roles and the risk or impact assessments, and writes an extension to the applicability statement plus role and scope notes.
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Write Bugcrowd-format reports — VRT (Vulnerability Rating Taxonomy) mapping, P1-P5 severity, impact-led writing, and Bugcrowd-specific submission etiquette. Use AFTER triage-validation passes for Bugcrowd programs.
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Write production-grade HackerOne reports — title formula, impact-led writing, CVSS 3.1 scoring, complete PoC formatting, attached files, and submission etiquette. Use AFTER triage-validation passes and you're ready to submit on HackerOne.
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Add moments of joy, personality, and surprise through success states, empty states, loading moments, hover details, and celebratory polish once the fundamentals already work. Use when the user wants delight, charm, personality, or memorable micro-interactions—not when the main need is baseline cleanup or stronger visual impact.
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Increase visual impact, contrast, personality, and compositional confidence when a design feels bland, generic, or too safe. Use when the design needs more energy, confidence, or memorability—not when the real problem is clutter, over-intensity, or micro-detail polish.
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Design and execute A/B tests for ML models in production using traffic splitting, statistical significance testing, and canary/shadow deployment strategies. Measure performance differences and make data-driven decisions about model rollout. Use when validating a new model version before full rollout, comparing candidate models trained with different algorithms, measuring business metric impact of model changes, or when regulatory requirements mandate gradual rollout.
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Implement comprehensive model drift monitoring using Evidently AI, statistical tests (PSI, KS), and custom metrics to detect data drift and concept drift in production ML systems. Set up automated alerting and reporting workflows to catch degradation before it impacts business metrics. Use when production models show unexplained performance degradation, when new data distributions differ from training data, when seasonal shifts affect input features, or when regulatory requirements mandate model monitoring.
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Implement AI-powered anomaly detection for operational metrics using time series analysis (Isolation Forest, Prophet, LSTM), alert correlation, and root cause analysis. Reduce alert fatigue by intelligently identifying true anomalies in system metrics, logs, and traces. Use when operations teams are overwhelmed by alert volume, when detecting complex multi-metric anomalies beyond static thresholds, when seasonal patterns make thresholds ineffective, or when needing to predict issues proactively before they impact users.
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