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Skills IA databases finance investment

Découvrez les skills databases finance investment, comparez leurs dépôts et consultez leurs instructions.

Catégories: databases finance investment

721–744 sur 3,368

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Explorer

GitHub

hypotheticals-counterfactuals

lyndonkl

Use when exploring alternative scenarios, testing assumptions through "what if" questions, understanding causal relationships, conducting pre-mortem analysis, stress testing decisions, or when user mentions cou...

GitHub

project-risk-register

lyndonkl

Use when managing project uncertainty through structured risk tracking, identifying and assessing risks with probability×impact scoring (risk matrix), assigning risk owners and mitigation plans, tracking contin...

GitHub

chain-estimation-decision-storytelling

lyndonkl

Use when making high-stakes decisions under uncertainty that require stakeholder buy-in. Invoke when evaluating strategic options (build vs buy, market entry, resource allocation), quantifying tradeoffs with un...

GitHub

chain-roleplay-debate-synthesis

lyndonkl

Use when facing decisions with multiple legitimate perspectives and inherent tensions. Invoke when stakeholders have competing priorities (growth vs. sustainability, speed vs. quality, innovation vs. risk), nee...

GitHub

forecast-premortem

lyndonkl

Use to stress-test predictions by assuming they failed and working backward to identify why. Invoke when confidence is high (>80% or

GitHub

scout-mindset-bias-check

lyndonkl

Use to detect and remove cognitive biases from reasoning. Invoke when prediction feels emotional, stuck at 50/50, or when you want to validate forecasting process. Use when user mentions scout mindset, soldier...

GitHub

strategy-and-competitive-analysis

lyndonkl

Use when developing business strategy (market entry, product launch, geographic expansion, M&A, turnaround), conducting competitive analysis (profiling competitors, assessing competitive threats, Porter's 5 For...

GitHub

morphological-analysis-triz

lyndonkl

Use when need systematic innovation through comprehensive solution space exploration, resolving technical contradictions (speed vs precision, strength vs weight, cost vs quality), generating novel product confi...

GitHub

security-threat-model

lyndonkl

Use when designing or reviewing systems handling sensitive data (PII, PHI, financial, auth credentials), building features with security implications (auth, payments, file uploads, APIs), preparing for security...

GitHub

visualization-choice-reporting

lyndonkl

Use when you need to choose the right visualization for your data and question, then create a narrated report that highlights insights and recommends actions. Invoke when analyzing data for patterns (trends, co...

GitHub

decision-matrix

lyndonkl

Use when comparing multiple named alternatives across several criteria, need transparent trade-off analysis, making group decisions requiring alignment, choosing between vendors/tools/strategies, stakeholders n...

GitHub

ethics-safety-impact

lyndonkl

Use when decisions could affect groups differently and need to anticipate harms/benefits, assess fairness and safety concerns, identify vulnerable populations, propose risk mitigations, define monitoring metric...

GitHub

roadmap-backcast

lyndonkl

Use when planning with fixed deadline or target outcome, working backward from future goal to present, defining milestones and dependencies, mapping critical path, identifying what must happen when, planning pr...

GitHub

kill-criteria-exit-ramps

lyndonkl

Use when defining stopping rules for projects, avoiding sunk cost fallacy, setting objective exit criteria, deciding whether to continue/pivot/kill initiatives, or when users mention kill criteria, exit ramps,...

GitHub

expected-value

lyndonkl

Use when making decisions under uncertainty with quantifiable outcomes, comparing risky options (investments, product bets, strategic choices), prioritizing projects by expected return, assessing whether to tak...

GitHub

reference-class-forecasting

lyndonkl

Use when starting a forecast to establish a statistical baseline (base rate) before analyzing specifics. Invoke when need to anchor predictions in historical reality, avoid "this time is different" bias, or est...

GitHub

chain-spec-risk-metrics

lyndonkl

Use when planning high-stakes initiatives (migrations, launches, strategic changes) that require clear specifications, proactive risk identification (premortem/register), and measurable success criteria. Invoke...

GitHub

career-document-architect

lyndonkl

Use when writing or reviewing career documents including research statements, teaching statements, diversity statements, CVs, or biosketches. Invoke when user mentions research statement, teaching philosophy, d...

GitHub

environmental-scanning-foresight

lyndonkl

Use when scanning external trends for strategic planning, monitoring PESTLE forces (Political, Economic, Social, Technological, Legal, Environmental), detecting weak signals (early indicators of change), planni...

GitHub

metrics-tree

lyndonkl

Use when setting product North Star metrics, decomposing high-level business metrics into actionable sub-metrics and leading indicators, mapping strategy to measurable outcomes, identifying which metrics to mov...

GitHub

bayesian-reasoning-calibration

lyndonkl

Use when making predictions or judgments under uncertainty and need to explicitly update beliefs with new evidence. Invoke when forecasting outcomes, evaluating probabilities, testing hypotheses, calibrating co...

GitHub

financial-unit-economics

lyndonkl

Use when evaluating business model viability, analyzing profitability per customer/product/transaction, validating startup metrics (CAC, LTV, payback period), making pricing decisions, assessing scalability, co...

GitHub

evaluation-rubrics

lyndonkl

Use when need explicit quality criteria and scoring scales to evaluate work consistently, compare alternatives objectively, set acceptance thresholds, reduce subjective bias, or when user mentions rubric, scori...

GitHub

market-mechanics-betting

lyndonkl

Use to convert probabilities into decisions (bet/pass/hedge) and optimize scoring. Invoke when need to calculate edge, size bets optimally (Kelly Criterion), extremize aggregated forecasts, or improve Brier sco...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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