LlamaIndex.TS data framework for RAG, indexing, retrieval, query engines, chat engines, and agentic workflows in TypeScript
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。
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LlamaIndex.TS data framework for RAG, indexing, retrieval, query engines, chat engines, and agentic workflows in TypeScript
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。
SQL query builder for PostgreSQL, MySQL, SQLite, and MSSQL -- fluent queries, schema builder, migrations, seeds, transactions, raw queries
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。
Adopt Prisma Next into a new project, onto an existing database, or as the first move after a bootstrap tool dropped you into a scaffold. Use for "what can I do with Prisma Next", "what can I do next with Prisma", "where do I start", "what should I do first", "just ran createprisma", "createprisma", "npx createprisma", "npx create-prisma", "first steps", "first query", "I have a scaffolded Prisma Next project what now"; for `pnpm dlx prisma-next init` greenfield setup; and for `prisma-next contract infer` + `db sign` against an existing database. Also covers the connect-write-read first-arc orientation, the day-to-day commands (`contract emit`, `db init`, `db update`, `migration plan`, `migrate`, `db schema`, `db verify`), and routing to `prisma-next-contract` / `prisma-next-queries` / `prisma-next-runtime` for the next move. Flags: --target, --authoring, --schema-path, --probe-db, --output.
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。
Answer questions against a persistent markdown wiki and optionally file the answer back into the wiki. Use this when the user asks what their wiki says about a topic, wants a comparison across notes, or wants citations grounded in the wiki.
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。
Converts hunt findings into portable Sigma detection rules: choosing the right logsource, expressing robust selection/filter logic, setting level and ATT&CK tags, and validating before converting to a SIEM query. Activates for requests to write a Sigma rule, convert a hunt to a detection, or create portable SIEM detection logic.
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。
The investigation harness for "why is this slow?" over a Pulp Perfetto trace (.pftrace). Runs the hypothesis→query→drill-down chain-of-evidence loop autonomously and returns a plain-English root cause + evidence + a concrete fix. TRIGGER on "why is my plugin slow to open", "find the slowest frames", "why is the UI stuttering", "why is my plugin using so much CPU", "which DSP node is expensive", "the load meter looks calm but CPU is pinned", or a named `pulp trace gpu-startup|gpu-health|gpu-probe` analysis. Ships Pulp-specific hints for dsp, frame, js, gpu, and cross-platform symptoms.
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, recommend, and switch the Pulp JS engine backend (QuickJS, JavaScriptCore, V8). Handles "which JS engine", "switch to V8", "engine for Three.js".
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。
UI design and implementation for real product surfaces with taste-first critique, reference routing, project-specific design briefs, variation comparison, and implementation verification. Use when Codex should redesign, build, polish, or critique frontend UI by reading project context, exploring taste, routing through `references/catalog.md`, synthesizing `PROJECT_DESIGN.md` or `design.md`, using investment gates to avoid wrong taste/reference/scope, implementing in the existing stack, and evaluating whether the result is actually better. Best for app screens, dashboards, landing pages, query tools, product surfaces, and design explorations; not for backend-only work or tiny cosmetic edits.
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 TypeScript reference for React & Next.js frontend development. Covers type narrowing, component Props, generic hooks, discriminated unions, as const, satisfies, Zod validation, TanStack Query, server/client boundaries, forms, state management, performance, accessibility, debugging, and code review. Use when the user works with TypeScript in React or Next.js: type errors, Props design, generics, API typing, SSR/CSR boundaries, hydration issues, form validation, state management, performance, or code review. Also use for "how should I type this?", "why does this type error happen?", or any architectural decision involving TypeScript in a frontend context.
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 what is done and the users query and offers advice on what to do next. Use if user says what should I do next or what do I do now or I'm stuck or I don't know what to do
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。
用于设计、实现或审查前后端 API 集成、类型化 API client、REST/tRPC/OpenAPI 客户端选型、认证刷新、API 错误映射、上传流程、SSE/WebSocket/轮询选择、CORS 相关前端行为或跨边界 loading/error 状态。不要用于纯后端服务架构或仅 TanStack Query 缓存策略;中文触发词包括 API 集成、前后端联调、typed API client、接口错误处理、SSE、WebSocket。
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。
用于选择、实现、审查或重构 React、Vue、Next.js、Nuxt、URL 状态、服务端状态、表单状态、浏览器持久化或全局 store 的前端状态归属。TanStack Query 缓存细节、浏览器存储持久化或表单校验内部问题优先使用更窄的 skill;中文触发词包括 状态管理、状态归属、store 选型。
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 choosing, implementing, reviewing, or refactoring frontend state ownership across React, Vue, Next.js, Nuxt, URL state, server state, form state, browser persistence, or global stores. Prefer narrower skills for TanStack Query cache details, browser storage persistence, or form validation internals; Chinese triggers include state management, state ownership, store selection.
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 designing, implementing, or reviewing frontend-to-backend API integration, typed API clients, REST/tRPC/OpenAPI client choices, auth refresh, API error mapping, upload flows, SSE/WebSocket/polling choices, CORS-facing frontend behavior, or cross-boundary loading/error states. Do not use for backend-only service architecture or TanStack Query cache policy alone; Chinese triggers include API integration, front-end and back-end joint debugging, typed API client, Interface error handling, SSE, WebSocket.
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 read models by reducing events into queryable state
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 a task needs senior database-administrator judgment — diagnosing replication lag or a stalled query, sizing a connection pool or index, planning a schema migration on a live table, running backup/restore and failover drills, or triaging a production incident traced to the database.
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 a task needs the judgment of a Clinical Data Manager — designing a CRF/eCRF and edit-check specification, writing or triaging a data query, planning database lock readiness, reconciling external data (lab, ePRO, IRT) against the clinical database, or reviewing a data management plan for a trial.
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 a task needs the judgment of a professional author — drafting or structurally revising a novel or narrative-nonfiction manuscript, writing a query letter or book proposal, evaluating a publishing contract's royalty and rights terms, or diagnosing why a manuscript is getting rejected.
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 a task needs the judgment of an air traffic controller — sequencing and spacing arrivals/departures, resolving a projected loss of separation, applying wake-turbulence separation between mismatched aircraft categories, deciding when to query a read-back, or working a facility through a saturation/traffic-management event.
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 a task needs the judgment of an airline pilot — checking whether an ETOPS diversion-time rating still holds against a current MEL downgrade, deciding whether to accept or query a dispatch release, applying sterile-cockpit discipline and Pilot Flying/Pilot Monitoring role separation on a two-pilot flight deck, resolving a captain-dispatcher operational-control disagreement, or checking Part 117 flight-duty-period legality against an irregular-operations delay.
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 gnomAD (Genome Aggregation Database) for population allele frequencies, gene constraint scores, and variant annotations to interpret ENCODE regulatory variants. Use when the user needs allele frequencies for variants in ENCODE regulatory elements, wants to assess gene constraint (pLI, LOEUF) for ENCODE target genes, needs population-specific frequencies for GWAS variants overlapping cCREs, wants to filter variants by rarity before functional annotation, or is interpreting ENCODE CRISPR/MPRA results in the context of population genetics. Also use when the user mentions gnomAD, allele frequency, pLI, LOEUF, constraint, rare variants, population frequency, ExAC, or variant filtering.
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 the Ensembl REST API for regulatory feature annotations, variant effect prediction (VEP), coordinate liftover, gene lookups, and cross-references. Use when the user needs to annotate variants with VEP (consequence, CADD, REVEL, SpliceAI), check Ensembl Regulatory Build overlap for ENCODE regions, convert coordinates between GRCh37 and GRCh38, resolve gene IDs (Ensembl ↔ symbol ↔ RefSeq), look up gene phenotype associations, or cross-reference ENCODE targets with Ensembl annotations. Also use when the user mentions Ensembl, VEP, variant effect predictor, liftover, assembly conversion, regulatory build, gene lookup, or cross-references between 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。
Search, query, and cross-reference NCBI GEO (Gene Expression Omnibus) datasets with ENCODE experiments. Use when the user wants to find GEO accessions for ENCODE experiments, search GEO for complementary datasets, download GEO metadata or series matrices, cross-reference ENCODE and GEO data, find supplementary files from GEO, or link GEO series to ENCODE experiments for provenance tracking. Also use when the user mentions GEO, GSE, GSM, GPL, GDS, series matrix, SOFT format, or needs to find expression data in GEO that complements their ENCODE analysis.
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。
Content quality and E-E-A-T analysis with AI citation readiness assessment. Enhanced with live Ahrefs (actual keyword rankings, positions) and GSC (search query performance) data to validate static E-E-A-T analysis with real user behavior. Use when user says "content quality", "E-E-A-T", "content analysis", "readability check", "thin content", or "content audit".
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。