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概要と使いどころ
Structured peer review of manuscripts and grants. 7-stage evaluation: initial assessment, section review, statistical rigor, reproducibility, figure integrity, ethics, writing. Covers CONSORT/STROBE/PRISMA and report structure. For evidence quality see scientific-critical-thinking; scoring see scholar-evaluation.
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。
Pipeline for Neuropixels extracellular electrophysiology: probe geometry (ProbeInterface), Kilosort sorting via SpikeInterface, quality metrics, unit curation (ISI, firing rate, SNR), post-sort analysis (PSTH, tuning curves, population decoding). Supports Neuropixels 1.0/2.0/Ultra in rodent/primate experiments.
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。
Methodology for exploratory data analysis on scientific files. Decision frameworks by data type (tabular, sequence, image, spectral, structural, omics), quality assessment, report generation, format detection across 200+ formats. Use when given a data file for initial exploration or to pick an analysis before a pipeline.
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。
Low-level Python plotting for scientific figures: publication-quality line, scatter, bar, heatmap, contour, 3D; multi-panel layouts; fine control of every element. PNG/PDF/SVG export. Use seaborn for quick stats, plotly for interactive.
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。
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score 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。
Canonical rules for preparing, opening, and updating Shift pull requests. Use whenever the user asks to create, open, draft, update, or review a pull request. Enforces issue discovery and linkage, Conventional Commit titles, release-note quality, complete validation evidence, and safe pushing.
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。
Canonical rules for writing git commits in the Shift codebase. Use whenever the user asks to commit, stage and commit, create a pull request that requires commits, or draft a commit message. Enforces Conventional Commits, release-note quality, concise subjects, and logical commit boundaries.
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。
Use when auditing a specific page's SEO performance, content quality, and competitive position. The agent fetches the URL, Googles the primary keyword, reads the top 3 competitors, and produces a full 7-dimension audit — no exports, no analytics access required.
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。
Comprehensive verification system for construction automation deliverables. Use after completing estimates, schedules, reports, or data processing tasks to ensure quality.
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。
Build KPI dashboards for construction projects. Track CPI, SPI, quality, safety metrics in real-time.
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 value engineering analysis using CWICR data. Identify cost-saving alternatives while maintaining function and quality.
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。
Comprehensive audit of all construction data sources and systems. Map data flows, identify silos, assess quality, and create integration roadmap.
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。
Merge pandas DataFrames from multiple construction sources. Handle different schemas, keys, and data quality issues.
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。
Validate CWICR data quality and estimate inputs. Check for errors, inconsistencies, outliers, and missing data.
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。
Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.
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。
Monitor environmental conditions on construction sites. Track air quality, noise levels, vibration, dust, and weather to ensure compliance and worker safety.
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。
Aggregate and analyze IoT sensor data from construction sites. Collect data from multiple sensor types, detect anomalies, and trigger alerts for safety and quality monitoring.
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。
Create interactive KPI dashboards for construction projects. Track schedule, cost, quality, and safety metrics in real-time.
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。
Use the OpenConstructionERP validation engine: rule packs (BOQ quality, DIN 276, NRM, GAEB, MasterFormat, DPGF) that check estimates at import time and on demand. Use when verifying BOQ correctness or writing custom validation rules.
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。
Technical due diligence for M&A, investment, or acquisition. Reads a target company's codebase and generates a comprehensive tech DD report with architecture assessment, tech debt quantification, scalability analysis, security posture, team capability inference, build system quality, test coverage, deployment maturity, and open source license risks. Outputs tech-dd-report.md formatted like a real investment memo with risk ratings, remediation costs, and go/no-go recommendation.
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。
Review pull requests for code quality, security issues, and best practices. Use when reviewing PRs, checking code changes, or analyzing diffs before merge.
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。
Designs and builds ETL/ELT data pipelines. Takes data sources, destination, transformation requirements. Generates pipeline code (Python/SQL), scheduling config, error handling, monitoring setup, and data quality checks. Outputs data-pipeline-spec.md + implementation files.
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。
Production-grade SwiftUI with Apple Design Award-quality aesthetics. Use when building visually striking iOS interfaces — screens, components, redesigns. Screenshot-driven visual iteration, Liquid Glass (iOS 26+), bold design direction. For design advice without code, use ios-design-consultant instead.
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。
Create production-quality Android applications following Google's official architecture guidance and NowInAndroid best practices. Use when building Android apps with Kotlin, Jetpack Compose, MVVM architecture, Hilt dependency injection, Room database, or multi-module projects. Triggers on requests to create Android projects, screens, ViewModels, repositories, feature modules, or when asked about Android architecture patterns.
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。