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概要と使いどころ
Study unfamiliar codebases and produce evidence-backed knowledge artifacts. Use for repository orientation, architecture mapping, subsystem tracing, onboarding, or codebase documentation.
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Use when a task needs the judgment of a Criminal Justice and Law Enforcement Teacher, Postsecondary — grading or defending a crime-trend assignment that must distinguish rate from raw count, mapping a CJ curriculum against ACJS certification standards or a state POST lesson-plan hour requirement, screening a student research protocol involving parolees, probationers, or incarcerated subjects for IRB Subpart C, or setting the liability and confidentiality terms for a ride-along or corrections practicum placement.
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Use when a task needs the judgment of a Postsecondary Computer Science Professor — diagnosing why a course's DFW (D/F/withdraw) rate spiked, redesigning an intro programming course's assessment structure, staffing TAs and grading load for a large course, deciding what to prioritize pre-tenure, running an academic-integrity (MOSS similarity) investigation, or mapping a curriculum change against ABET student outcomes.
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Use when a task needs the judgment of a Career/Technical Education Teacher, Postsecondary — defending a shrinking trade or health-science program against a cutback decision, backward-mapping a shop or lab curriculum to an industry credential's exam blueprint, resolving a competency-based grading dispute where a passing average hides a failed safety check-off, or setting the terms of an advisory-committee review or work-based-learning placement.
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Use when a task needs the judgment of a Business Continuity Planner — running a business impact analysis (BIA) to derive recovery time objectives, mapping process dependencies to find single points of failure, evaluating whether current recovery capability meets a process's maximum tolerable downtime, designing or debriefing a tabletop exercise, or building the cost-benefit case for a continuity investment.
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Compare ENCODE experiments across different biosamples, tissues, or cell lines to identify tissue-specific regulatory patterns. Use when the user wants cross-tissue comparison, cell-type comparison, tissue-specific elements, differential chromatin, biosample matching, disease vs normal comparison, developmental time course, constitutive vs variable regulation, or multi-tissue data availability mapping. Handles batch effect detection, biosample hierarchy, and comparison design.
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Use ENCODE functional genomics data for disease mechanism research. Use when the user wants to connect GWAS variants to regulatory elements, annotate disease-associated loci with functional data, identify therapeutic targets from epigenomic data, build disease regulatory models, cross-reference with clinical trials and drug databases, or conduct any disease-focused, pathology-driven, or clinical variant interpretation workflow. Covers the full pipeline from disease-tissue mapping through GWAS variant annotation, heritability enrichment, cancer epigenomics, drug target identification, and clinical trial cross-referencing. Integrates ENCODE with Open Targets, PubMed, ClinicalTrials.gov, and bioRxiv.
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Spring Boot 4 data layer implementation for Domain-Driven Design. Use when implementing JPA or JDBC aggregates, Spring Data repositories, transactional services, projections, or entity auditing. Covers aggregate roots with AbstractAggregateRoot, value object mapping, EntityGraph for N+1 prevention, and Spring Boot 4 specifics (JSpecify null-safety, AOT repositories). For DDD concepts and design decisions, see the domain-driven-design skill.
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Expert guidance for Domain-Driven Design architecture and implementation. Use when designing complex business systems, defining bounded contexts, structuring domain models, choosing between modular monolith vs microservices, implementing aggregates/entities/value objects, or when users mention "DDD", "domain-driven design", "bounded context", "aggregate", "domain model", "ubiquitous language", "event storming", "context mapping", "domain events", "anemic domain model", strategic design, tactical patterns, or domain modeling. Helps make architectural decisions, identify subdomains, design aggregates, and avoid common DDD pitfalls.
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Validate SEO preservation during site migrations. Checks redirect chains (301 vs 302, hop count), canonical consistency, title/meta preservation, HTTP status codes, content similarity, and schema preservation. Accepts single URL pair or CSV file of URL pairs. Use when user says "migration check", "site migration", "redirect audit", "URL mapping", "domain change", "relaunch", "site move".
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Pin-to-net mapping auditor -- verifies that every IC pin in the schematic is connected to the correct net, matched against a pin map source of truth (CSV, datasheet table, or Python dict). Critical for BGA/QFN devices where swap errors are invisible to DRC/ERC.
日本語の概要は準備中です。原文の説明を表示しています。
Programmatic form completion — web forms, PDF AcroForms, and data mapping — use when automating repetitive form filling.
日本語の概要は準備中です。原文の説明を表示しています。
Elasticsearch guidance — index design, mappings, query DSL, aggregations, cluster operations, and performance tuning.
日本語の概要は準備中です。原文の説明を表示しています。
Elasticsearch search and analytics — mappings, queries, and cluster health — use when building search or log analytics.
日本語の概要は準備中です。原文の説明を表示しています。
Perform business analysis — requirements gathering, process mapping, gap analysis, and stakeholder-ready documentation.
日本語の概要は準備中です。原文の説明を表示しています。
Performs static analysis of binary code using radare2 and Ghidra — function enumeration, cross-reference tracing, decompilation, and control flow graphs without executing the binary. Use when disassembling or decompiling code, mapping functions, tracing data flow, or building hypotheses before dynamic verification.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze learning management and training pathway systems for prerequisite mapping, competency-based progression, adaptive sequencing, and credential stacking.
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Audit personal finance and budgeting app spending intelligence features. Triggers: you need to evaluate transaction categorization accuracy (MCC mapping, ML classification, merchant matching).
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Assess supply chain risk exposure and resilience posture. Analyzes supplier dependency mapping (Tier 1/2/3), geographic concentration risk, single-source vulnerability, disruption scenario modeling (pandemic, trade war, port closure), Monte Carlo simulation.
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Runs a 5-phase enterprise compliance and security hardening pipeline: regulatory review, GDPR audit, SOC 2 evaluation, dependency scan, and penetration test with cross-framework control mapping..
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Audit rural health network software for telehealth readiness, provider coverage mapping, patient transportation coordination, referral network optimization, Critical Access Hospital compliance, mobile clinic scheduling, and health equity metrics..
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Audit game narrative systems for technical quality -- branching dialogue trees, state/flag tracking, quest systems, choice-consequence mapping, localization pipelines, voice-over integration, and cinematic scripting..
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Analyze defense supply chain systems — DFARS compliance assessment, CMMC cybersecurity readiness, sole-source and DMSMS risk identification, counterfeit parts prevention per SAE AS6171, ITAR export control verification, and supplier tier mapping.
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Analyze compliance operations for regulatory change tracking, control mapping, policy management, audit readiness, and training compliance. Triggers: 'audit compliance program', 'assess GRC platform', 'review regulatory change management', 'check control framework'.
日本語の概要は準備中です。原文の説明を表示しています。