eval-tracking
Supabase-backed evaluation tracking with runs, cases, and scores tables. Use when storing eval results, building dashboards, or tracking regression over time.
Skills
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Updated 11-05 00:16
Data & analytics
17,405 results
managed-databases
DigitalOcean Managed Database provisioning and connection patterns
skill-07-token-analytics
Analyzes on-chain token data including whale tracking, DEX volume, wallet PnL, and token unlock schedules. Use when researching token metrics, portfolio…
foundations-measurement-theory
Audits whether scores, benchmarks, LLM judges, or surveys measure what we think. Use when a benchmark is saturated, a score unreliable, or judge agreement…
sqlserver-diagnostics
Identify SQL Server performance bottlenecks using DMV queries. Covers wait stats, slow queries, active requests, performance counters, and connection analysis.
data-science-visualization
Generate concise interactive data science chart HTML from real tables or existing statistical and model results, choose charts according to the question and data conditions, support on-demand interaction and conversational chart modification. Used for viewing data and presenting results; use the corresponding workflow for full analysis reports or application development.
cash-position-monitoring
Cash balance monitoring — generate a daily cash balance report every day, verify the consistency of data from three parties, and identify cash risks. Applicable situation: Execute at a fixed time every day (e.g., 9 AM), obtain the balances of each account from [CASH]/[BANK]/[ERP], verify the consistency of data from the three parties, identify balance anomalies and cash risks, and output a daily cash report. Core: three-party reconciliation (cash system/online banking/ERP) + balance anomaly identification + alert triggering.
esg-data-integration
ESG data integration — Integrate ESG data from multiple sources (environmental/social/governance), check data completeness and accuracy, and generate an ESG data quality report. Applicable situation: at the start of an ESG reporting period (annual/quarterly), or when the user requests "integrate ESG data." Core: multi-source data aggregation + completeness check + data quality scoring.
insight-generation
Insight Generation — Extract insights from business/financial data, identify patterns, anomalies, and opportunities, and transform them into actionable business recommendations. Applicable scenarios: Execute when the user requests to "generate insights," "distill insights," or "find opportunities from data." Core: Data pattern recognition + confidence assessment + the transformation chain from insights to recommendations.
kpi-data-tracking
KPI Data Tracking and Reporting — Extract actual KPI data from various business systems, verify data accuracy, and generate multi-dimensional KPI achievement tracking reports. Applicable scenarios: monthly/quarterly KPI tracking cycles, or when the user requests to "track KPI progress." Core: Extract target values vs. actual values from BI/ERP/CRM and other systems + trend analysis.
kpi-management-master
KPI Management Main Process — Integrates KPI target setting, data tracking, alert handling, and root cause analysis. Applicable situations: Executed during monthly/quarterly business analysis meetings or when KPI anomaly alerts are triggered, integrating kpi-target-setting, kpi-data-tracking, kpi-alert-handling, and kpi-root-cause-analysis, …
kpi-root-cause-analysis
KPI Root Cause Analysis — Conduct a systematic root cause analysis of KPIs that have not met targets, trace the true causes, distinguish between systemic factors and one-off factors, and provide a basis for improvement. Applicable situations: when a KPI has not met its target and warning handling cannot resolve it, or when the user requests "analyze KPI root cause." Core: factor decomposition + 5Why analysis + attribution classification + improvement recommendations.
kpi-target-setting
KPI target setting and decomposition — Set KPI target values, decompose company-level targets to business lines/departments, and determine measurement criteria and data sources. Applicable situations: annual/quarterly target setting cycles, or when the user requests "set KPIs" or "decompose targets." Core: target value setting logic (historical baseline/industry benchmarking/strategic backcasting) + decomposition to responsibility units.
lcr-assessment
Liquidity Coverage Ratio (LCR) Assessment — Assess the company's/group's LCR metrics, identify liquidity risks and propose improvement recommendations. Applicable situations: quarterly liquidity assessment, before and after major transactions, or when the user requests "assess LCR". Core: LCR calculation + composition analysis + risk identification + improvement recommendations.
stage-classification
IFRS 9 three-stage classification — For each credit exposure, perform the SICR (significant increase in credit risk) assessment, determine whether it belongs to Stage 1 / Stage 2 / Stage 3, and record the reason for transfer. Applicable situation: Before IFRS 9 ECL measurement, the risk manager performs Stage classification for each exposure, or performs it when reviewing Stage transfers at quarter-end.
strategic-assumption
Strategic Assumption Analysis — Identify, document, and track key assumptions in strategic planning, and assess the impact of assumption changes on strategy. Applicable situations: when strategic planning is initiated, during quarterly strategic reviews, or when major events affecting assumptions occur. Core: assumption identification + tracking mechanism + impact assessment + strategic adjustment recommendations.
valuation-integration
Comprehensive Valuation Analysis — Integrates multiple valuation methods (DCF/Comparable Company Analysis/Transaction Method), determines the valuation range, and forms a final investment recommendation. Applicable scenarios: M&A investment decisions, or when the user requests a "comprehensive valuation." Core: Multi-method valuation + weight allocation + negotiation range recommendations.
arkcli-datasets
Use ArkCLI to create, validate, query, update, delete, version, and download Datasets. Use when the user mentions Dataset, dataset, ds-*, dsv-*, training set/validation set reuse, data format validation, or connecting a Dataset to a fine-tuning task.
pdf-extraction-guide
PDF parsing, text extraction, and document format conversion
datatables
MUST use when changing a data table's schema, writing or running its migrations, or working with its roles and permissions.
write-pipeline
MUST use when creating or modifying a data pipeline, a set of scripts marked `pipeline` and wired together by `on` / `materialize` annotations.
channel-performance-review
Use when the merchant asks which channels, sources, media, campaigns, or devices are driving revenue, customers, or on-hold pipeline. Produces a…
customer-value-review
Use when the merchant asks about customer lifetime value, best customers over time, repeat buyers, one-time versus repeat purchasing, cohort retention, reorder…
html-to-markdown-extracting-tables
Use when extracting tabular data from HTML. Covers GFM Markdown tables, the structured tables array (grid cells plus pre-rendered markdown), and HTML line…