Research

Calculate and interpret effect sizes for statistical analyses. Use when: (1) Reporting research results to show practical significance, (2) Meta-analysis to combine study results, (3) Grant writing to justify expected effects, (4) Interpreting published studies beyond p-values, (5) Sample size planning for power analysis.

Analyze and optimize E-E-A-T signals (Experience, Expertise, Authority, Trust) for content credibility.

Deep EDN template analyzer for Logseq database graphs. Analyzes template structure, counts classes/properties, finds orphaned items, checks quality, and compares variants. Use when analyzing template files, finding issues, or comparing different template versions.

Comprehensive editing framework covering voice consistency, timeline verification, citation coverage, and multi-pass editing strategies for autonomous manuscript refinement.

Analyzes events through economic lens using supply/demand, incentive structures, market dynamics, and multiple schools of economic thought (Classical, Keynesian, Austrian, Behavioral). Provides insights on market impacts, resource allocation, policy implications, and distributional effects. Use when: Economic events, policy changes, market shifts, financial crises, regulatory decisions. Evaluates: Incentives, efficiency, opportunity costs, market failures, systemic risks.

Develop ebook ideas into structured concepts ready for architecture. Use when the user has an ebook idea (from a brainstorm document, existing content to repurpose, a book section to extract, or a fresh concept) and wants to develop it into a clear, validated concept. Produces an Ebook Concept Document with reader, transformation, promise, content source, scope/format, and key topics. Handles multi-session development with living documents.

Extract the functional DNA from existing works (TV, film, books, plays). Use when adapting a source work, when analyzing what makes something work, when creating trope maps for reuse, or when you need to separate structural necessity from stylistic choice.

- RL with policy advice. Azar et al., ECML 2013. - Reduction from RL to bandit problem. - Regret bounds: sum of differences between actual policy and optimal policy. - Regret scales with the number of tasks \sqrt(M), rather than the state and action space. - Brunskill and Li, UAI 2013. Reduce from RL to (active) classification problem. - https://cs.stanford.edu/people/ebrun - Provably speeding multitask RL. Guo and Brunskill, AAAI 2015. K tasks sampled from M tasks. Evaluation goal: provably ...

발굴조사 보고서 고찰(考察) 섹션 초안 작성

Compare FinOps metrics across multiple repositories in an organization

Audit Claude subagent configurations for completeness, security, and best practices

Design and launch a product survey and produce a Survey Pack (brief, questionnaire/instrument, analysis plan, launch checklist, reporting outline). Use for customer surveys, onboarding surveys, NPS/CSAT/PMF, cancellation/churn, and feedback surveys.

Deep multi-source research combining academic MCPs (arxiv, semantic-scholar, paper-search, deepwiki), Exa semantic search, and local ~/.topos knowledge base. Use for comprehensive research requiring multiple sources. NEVER fall back to web_search - ask user for help instead.

提供v3_e-report数据库的SQL查询模板，包括数据分析告警配置等表的查询。查询分析告警配置时使用。使用 exec_sql 工具执行查询。

Datalog bottom-up fixpoint iteration for recursive queries

Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based decisions.

Systematic data validation, error detection, cross-source reconciliation, and query correctness checking for analytical work. Use when validating Snowflake queries, catching calculation errors, reconciling metrics across different data sources, checking for null values, ensuring date range validity, detecting statistical anomalies, validating metric calculations (median vs mean, rate normalization), checking aggregation grain (per-record vs per-entity), validating contribution analysis for no...

Use when extracting structured data from medical research PDFs, parsing study characteristics, patient demographics, outcomes, and results. Invoke for systematic review data collection from papers.

Explore and analyze pilot data sets to uncover patterns, anomalies, and initial insights. Use when performing ad-hoc data investigations, validating data quality, or preparing exploratory visualizations for hypothesis generation.

Inventory available datasets, instrumentation gaps, and data quality considerations for the initiative.

Advanced data analysis, pattern detection, and insight generation from structured and unstructured datasets

Analyze CS2 demo files and generate comprehensive tactical reports

Analysis of crypto-to-crypto vs crypto-to-fiat (USD) trading on Alpaca for fee optimization and risk considerations

Simplify crypto hard filters to essential checks only. Trigger when: (1) crypto symbols fail multiple filters, (2) data_quality/spread/trading_status fail for crypto, (3) yfinance data gaps causing false failures.