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概要と使いどころ
Scan, structure, validate, and submit your project to the Next Level Builders Directory (https://nextlevelbuilder.io) with 17 rich blocks, cryptographic content hashing, Polar payment handling, and automated moderation queueing.
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。
Check whether a Playwright, Puppeteer, Selenium or CDP-driven browser presents a coherent fingerprint, using liarjs as a library against a Page you already have - navigator.webdriver, HeadlessChrome tokens, worker versus main-thread identity, patched-API integrity, WebGL versus WebGPU GPU identity. Use when asked whether an automated browser looks like a normal one, when a headless setup or a stealth plugin's effect needs measuring rather than assuming, or when an assertion on fingerprint quality belongs in a test suite.
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。
Query UniProt's REST API (post-2022 endpoint at rest.uniprot.org) for protein sequences, annotations, GO terms, cross-references, ID mappings, and proteomes. Use when fetching UniProtKB entries, navigating the JSON schema, choosing between UniProtKB/UniRef/UniParc/Proteomes resources, deciding stream vs search endpoint for batch retrieval, running ID-mapping jobs with the async pattern, handling isoform suffixes, or filtering reviewed Swiss-Prot vs auto-annotated TrEMBL. Encodes the legacy URL migration (2022), the new JSON schema layout, and bulk-pull 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。
Visualize biological networks (PPI, gene-regulatory, co-expression, pathway) with layout algorithm choice (ForceAtlas2, Fruchterman-Reingold, Kamada-Kawai, hive plots), edge bundling, community-based coloring, and reproducible seeds using NetworkX, PyVis, igraph, and Cytoscape automation. Use when rendering biological networks for static publication, interactive HTML exploration, or Cytoscape-format export.
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 publication-quality figures with matplotlib using the object-oriented Figure/Axes API, constrained_layout, rcParams customization, TrueType (Type-42) font embedding for journal submission, and CVD-safe palettes. Covers seaborn integration, common chart types, axis formatting, and the small gotchas that distinguish reproducible matplotlib from notebook scratch. Use when producing publication figures in Python — RNA-seq scatter, single-cell embeddings, generic biological plotting.
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。
Analyzes CRISPR drug-modifier (chemogenomic) screens with drugZ (Li & Hart 2019 Genome Med), a bidirectional Z-score method that identifies synthetic-lethal sensitizing genes and resistance-conferring suppressor genes from vehicle vs drug comparisons. Covers vehicle-anchored design (not Day-0), the bidirectional Z math giving 2-3x sensitivity over MAGeCK / STARS / edgeR / RIGER on drug screens, per-gene sumZ and normZ, synth (sensitizer) vs supp (suppressor) FDR, multi-dose handling, integration with control sgRNAs, and comparison with MAGeCK MLE with dose covariate. Use when running a drug-modifier CRISPR screen, identifying sensitizing or resistance genes for a drug candidate, choosing drugZ vs MAGeCK MLE for chemogenomic analysis, troubleshooting low-effect drug screens where MAGeCK lacks sensitivity, or designing a drug-screen layout (vehicle vs drug arms).
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。
Applies ACMG/AMP 2015 framework with ClinGen SVI specifications, Tavtigian 2018/2020 Bayesian point system, Abou Tayoun 2018 PVS1 decision tree, Pejaver 2022 calibrated PP3/BP4 thresholds for REVEL/BayesDel/AlphaMissense, Brnich 2020 PS3/BS3 OddsPath, Walker 2023 SpliceAI splicing framework, and AMP/ASCO/CAP 2017 tumor tiers. Use when classifying germline variants P / LP / VUS / LB / B, applying VCEP-specific CSpec rules, computing Whiffin BS1, or assigning cancer Tier I-IV per Li 2017.
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。
Provides Spring Data Neo4j integration patterns for Spring Boot applications. Use when you need to work with a graph database, Neo4j nodes and relationships, Cypher queries, or Spring Data Neo4j. Creates node entities with @Node annotation, defines relationships with @Relationship, writes Cypher queries using @Query, configures imperative and reactive Neo4j repositories, implements graph traversal patterns, and sets up testing with embedded databases.
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。
Design, implement, and review web interface layout, component states, feedback, and motion within the current CodeConductor workflow. Use for concrete web UI work or requested UI audits, not backend-only tasks or native mobile apps.
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。
Improve detections, hardening, and response for the estate you defend. Detection-as-code and control design, not offense.
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。
Advise on defensive security for industrial control systems you operate. Safety first. No process-disruption guidance.
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。
Hunt for adversary techniques in telemetry you are authorized to query. Hypothesis-driven, evidence-first, no live offensive operations.
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 binaries or protocols you own (or have license to inspect) to improve security, compatibility, or incident response. Not for cracking, DRM bypass, or malware creation.
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。
Plan purple-team / adversary-simulation exercises against systems you are contracted to test. High-level objectives and detection gaps only. No live attack procedures or payloads.
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。
Query and interpret security logs you are authorized to read. Build detections and investigations without leaking PII.
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。
Automate detection, enrichment, and response playbooks for a SOC you operate. Keep humans in the loop for destructive actions.
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。
Harden network architecture, segmentation, TLS, and allowlists for systems you operate. Defensive design and review only.
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。
Map controls to SOC2, ISO 27001, PCI, or internal policy for the org you work for. Evidence and control design — not audit theater.
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。
Understand how a confirmed vulnerability in an owned system is triggered so you can patch and test it. This is not exploit development for offense. No payloads, malware, or attack procedures.
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。
Choose and review cryptographic usage in your codebase: TLS, hashing, KMS, secret storage. Prefer standard libraries and vetted constructions.
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。
Harden IAM, storage, keys, and org policies in cloud accounts you administer. Focus on identity, logging, and public-exposure controls.
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。
Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.
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。
Harden LLM and agent integrations you operate: prompt injection, tool allowlists, secret leakage, and supply-chain of models. Defensive only.
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 and harden web apps (authz, XSS, CSRF, SSRF, injection) on code you maintain. Complements the OWASP `security` skill. No exploit kits.
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。