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概要と使いどころ

Apply these opinionated JavaScript conventions whenever writing or reviewing JS or Node: ESM-first packaging, choosing between Promise combinators, error handling that doesn't swallow failures, AbortController for cancellation, keeping the event loop unblocked, and reaching for platform APIs before dependencies.

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。

alexander-danilenko/cortex-claude-code-plugins162026年10月13日 更新

react-dev

無料

This skill should be used when building React components with TypeScript, typing hooks, handling events, or when React TypeScript, React 19, Server Components are mentioned. Covers type-safe patterns for React 18-19 including generic components, proper event typing, and routing integration (TanStack Router, React Router).

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。

manu14357/zskills162026年7月24日 更新

caveman

無料

Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman.

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。

manu14357/zskills162026年7月24日 更新

Implements sub-tasks from a task list at .ai/[feature]/tasks.md strictly one at a time, stopping after each to ask the user before starting the next, and keeping the task list and Relevant Files section current. Use when the user wants to review or approve each sub-task before work continues, rather than letting the agent run the list unattended with task-orchestration.

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。

aspiers/ai-config152026年10月9日 更新

gh

無料

GitHub workflow automation with the gh CLI — pull requests, issues, releases, the REST/GraphQL API, and safe message escaping. Auth via GH_TOKEN (set in global settings, attached to the sandbox env).

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。

porcupine-md/jonggrang152026年9月15日 更新

glab

無料

GitLab workflow automation with the glab CLI — merge requests, issues, CI, releases, and safe message escaping. Auth via GITLAB_TOKEN (set in global settings, attached to the sandbox env).

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。

porcupine-md/jonggrang152026年9月15日 更新

anoa

無料

Drive a real browser from the command line — open pages, snapshot the interactive elements as refs, click and fill by ref, read text, run JS, screenshot. Use when a task needs a live browser: checking a page renders, walking a login or checkout flow, scraping something that only exists after JavaScript runs, or reproducing a UI bug.

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。

porcupine-md/jonggrang152026年9月15日 更新

Iteratively define problem and solution shapes.

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。

porcupine-md/jonggrang152026年9月15日 更新

Production-grade error handling for Node.js/TypeScript backends. Error classes, HTTP mapping, logging, retry strategies.

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。

porcupine-md/jonggrang152026年9月15日 更新

Test-Driven Development for backend code. Red-Green-Refactor cycle with practical 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。

porcupine-md/jonggrang152026年9月15日 更新

Generates structured case briefs from judicial opinions. Use when the user provides a court opinion and needs a case brief, case summary, or distillation of a judicial decision for legal research.

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。

CSlawyer1985/legal-skillhub152026年9月23日 更新

Comprehensive legal applications skill covering civil/criminal/administrative litigation workflows, trial defense strategies, legal document drafting (complaints, answers, appeals, retrial petitions, enforcement applications, representation opinions, defense statements, legal opinions, etc.), arbitration (commercial & labor), mediation, enforcement procedures, evidence rules, and litigation risk assessment. Trigger when users ask about: lawsuit/litigation/trial, legal documents, court defense, evidence/cross-examination, arbitration, enforcement, legal strategy, filing a case, appeal, retrial, representation, pleading, or any legal procedural 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。

CSlawyer1985/legal-skillhub152026年9月23日 更新

Applies Gestalt psychology principles to web layout, spacing, grouping, and visual hierarchy. Proximity, similarity, closure, continuity, figure-ground, common fate, Pragnanz — translated into CSS, component structure, and information architecture. Activate on 'gestalt', 'visual grouping', 'proximity spacing', 'visual hierarchy', 'perceptual organization', 'layout psychology', 'whitespace strategy'. NOT for color theory (use color-theory-palette-harmony-expert), not for accessibility auditing (use design-accessibility-auditor).

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。

curiositech/windags-skills152026年10月14日 更新

Process, analyze, and visualize geospatial data at scale. Handles drone imagery, GPS tracks, GeoJSON optimization, coordinate transformations, and tile generation. Use for mapping apps, drone data processing, location-based services. Activate on "geospatial", "GIS", "PostGIS", "GeoJSON", "map tiles", "coordinate systems". NOT for simple address validation, basic distance calculations, or static map embeds.

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。

curiositech/windags-skills152026年10月14日 更新

Managing third-party dependencies — version pinning, security auditing, license compliance, update workflows, lockfile management, supply chain security. Activate on "npm audit", "dependabot", "renovate", "pin versions", "dependency update", "supply chain", "license compliance", "lockfile", "security advisory", "typosquatting", "SBOM". NOT for internal monorepo package management (use monorepo-management) or publishing your own packages to npm/PyPI.

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。

curiositech/windags-skills152026年10月14日 更新

Collage as a web design aesthetic — overlapping elements, mixed media, cut-out shapes, scrapbook layouts, and editorial magazine spreads adapted for the web. CSS techniques for layered compositions using z-index stacking, clip-path, mix-blend-mode, parallax layering, and grid-breaking layouts. Activate on 'collage web', 'editorial layout', 'magazine layout', 'overlapping elements', 'scrapbook', 'cut-out aesthetic', 'mixed media web', 'layered composition', 'grid-breaking', 'editorial web design', 'fashion website layout', 'David Carson'. NOT for photo collage/gallery grids (use collage-layout-expert), maximalist density (use maximalist-web-design), neobrutalism (use neobrutalist-web-designer).

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。

curiositech/windags-skills152026年10月14日 更新

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

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。

curiositech/windags-skills152026年10月14日 更新

mk-vue

無料

Vue 3 authoring/review: components, composables, reactivity, Pinia, Pinia Colada, file routing, forms. Composition API + script setup. Auto-activates on .vue files. Deep review: mk:vue-best-practices.

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。

ngocsangyem/MeowKit152026年7月28日 更新

mk:stitch

無料

Generate novel UI from a text prompt via Stitch AI. Exports Tailwind/HTML, produces DESIGN.md for mk:frontend-design handoff. NOT for implementing existing designs — use mk:figma or mk:frontend-design for that.

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。

ngocsangyem/MeowKit152026年7月28日 更新

Use for Vue 3 testing best-practices review and recommendations — designing and auditing Vitest + Vue Test Utils tests for components, composables, Pinia stores, Vue Router, async/Suspense, Teleport, forms, and accessibility, plus Playwright E2E test-design strategy. Advisory/review only — recommends patterns and flags test smells; does not run tests. Complements mk:vue-best-practices (feature code). Invoke for "review my Vue tests", "how should I test this component/composable/store", or "Vue test best practices".

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。

ngocsangyem/MeowKit152026年7月28日 更新

Test-to-requirement coverage mapping. Reads plan acceptance criteria and test files, produces a coverage gap report showing which requirements have no tests. Use during Phase 2 (Test) or Phase 4 (Review) to verify test completeness. Named after the Nyquist sampling theorem — sufficient test coverage prevents aliased (missed) requirements. NOT for running tests (see mk:testing); NOT for structural code review (see mk:review).

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。

ngocsangyem/MeowKit152026年7月28日 更新

Call germline SNPs and indels with GATK HaplotypeCaller and the GVCF joint-genotyping workflow. Covers the local-reassembly + PairHMM mechanism (why HC beats pileup callers on indels), the -ERC GVCF reference-confidence model and <NON_REF> allele, BQSR-vs-DRAGSTR and --dragen-mode error modeling, allele-specific (AS_) annotations, and edge cases (ploidy, Mutect2 mitochondria mode, sex chromosomes/PAR, contamination gating). Use when deciding whether to use HaplotypeCaller vs a pileup or DRAGEN caller, whether BQSR still earns its place, whether to call per-sample GVCFs for a cohort, or how to handle non-diploid, mitochondrial, sex-chromosome, or contaminated samples. Not for post-calling filtering depth (see variant-calling/filtering-best-practices) or cohort joint-genotyping scaling (see variant-calling/joint-calling).

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。

lilinji/GeneTind-Life-Skills142026年8月21日 更新

Reconstruct ancestral states at internal phylogenetic nodes for sequences (PAML codeml, IQ-TREE --ancestral, GRASP, FastML), discrete traits (corHMM hidden-rate Markov, ape::ace, phytools::make.simmap stochastic mapping, BayesTraits), and continuous traits (phytools::fastAnc, geiger Brownian/OU, RPANDA). Use when designing constructs for ancestral protein resurrection, tracing trait evolution along a tree, performing stochastic character mapping, testing models of trait evolution (BM vs OU vs EB), inferring ancestral genome content via Dollo or DTL reconciliation, or quantifying ancestral-state uncertainty for downstream comparative analyses.

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。

lilinji/GeneTind-Life-Skills142026年8月21日 更新

Performs gene-level association from GWAS summary statistics via genetically predicted tissue expression using FUSION, PrediXcan, S-PrediXcan, S-MultiXcan, UTMOST, MOSTWAS, kTWAS, EpiXcan, TIGAR-V2, and probabilistic fine-mapping with FOCUS and MA-FOCUS. Use when running TWAS from GWAS sumstats, prioritising candidate causal genes from a GWAS lead locus, picking single-tissue vs cross-tissue models, identifying LD-induced TWAS false positives, choosing ancestry-matched prediction weights, fine-mapping co-regulated TWAS hits, or triangulating TWAS with cis-eQTL Mendelian randomization and colocalization to nominate a causal gene.

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。

lilinji/GeneTind-Life-Skills142026年8月21日 更新