Results for “annex-viii”

Vercel API skill. Use when working with Vercel for access-groups, artifacts, billing. Covers 281 endpoints.

Deploy and configure an OpenTAXII server to share and consume STIX-formatted cyber threat intelligence using the TAXII 2.1 protocol for automated indicator exchange between organizations.

Add a batteries-included agent component to React/Next.js apps with runtime, streaming, human-in-the-loop approvals, and client-side tools.

Convex Management API skill. Use when working with Convex Management for teams, projects, deployments. Covers 20 endpoints.

Produces a complete narrated, subtitled, scored explainer video from a single topic prompt using a six-stage pipeline with script, voiceover, keyframes, animation, music, and local assembly.

Drive mex (`mex-agent`), persistent project memory and code graphs for AI coding agents. One command scaffolds a living wiki, builds a deterministic code graph, and installs a project anchor file (CLAUDE.md, root AGENTS.md, .cursorrules, .windsurfrules, copilot-instructions.md, or .opencode/opencode.json) that your agent auto-loads as a standing rule document. Use when the user wants to `mex setup` a new project, build a symbol-grounded wiki, keep knowledge connected to implementation, route relevant context to agents, or run drift detection (`mex check`, `mex sync`). Triggers on: "mex setup", "project memory", "code graphs", "codebase documentation", "drift detection", "agent memory", "structured scaffolds", "architectural context", "living wiki", "project anchor file".

Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Process and analyze large tabular datasets (billions of rows) that exceed available RAM using lazy, out-of-core DataFrames with fast aggregations, visualization, and machine learning integration.

Out-of-core tabular analytics with Vaex for billion-row datasets that exceed RAM — lazy evaluation, fast aggregations, big-data visualization, and ML on a single machine. Use when working with large CSV/HDF5/Arrow/Parquet files, computing fast statistics on massive datasets, visualizing big data, or building ML pipelines that do not fit in memory. For distributed clusters prefer dask; for in-memory speed prefer polars. Part of the AlterLab Academic Skills suite.

seven API skill. Use when working with seven for analytics, balance, contacts. Covers 51 endpoints.

X API v2 API skill. Use when working with X API v2 for 2. Covers 156 endpoints.

Process and analyze tabular datasets larger than RAM using lazy, out-of-core DataFrames, with fast aggregations, visualization, and machine learning integration.

Generates Angular 17+ standalone components, configures advanced routing with lazy loading and guards, implements NgRx state management, applies RxJS patterns, and optimizes bundle performance.

Install or update the M365 Agents Toolkit (ATK) CLI and VS Code extension using npx and the VS Code CLI.

Add Adaptive Card response templates to MCP-based API plugins for visual data presentation in Microsoft 365 Copilot.

Weaviate REST API skill. Use when working with Weaviate REST for root, .well-known, replication. Covers 101 endpoints.

Svix API skill. Use when working with Svix for api, ingest. Covers 128 endpoints.

VA Forms API skill. Use when working with VA Forms for forms. Covers 2 endpoints.

Build and review Wix CLI app extensions — dashboard pages, modals, plugins, menu plugins, custom element widgets, Editor React components, site plugins, embedded scripts, backend APIs, backend events, service plugins, data collections, and App Market readiness. Use when building ANY feature or extension for a Wix CLI app or preparing a Wix app for App Market review. Triggers on: add, build, create, implement, help me, dashboard, widget, plugin, backend, API, event, collection, embedded script, service plugin, Editor React component, checkout, shipping, tax, discount, SPI, CMS, schema, tracking, popup, admin panel, menu item, modal, validate, test, verify, register extension, App Market, app review, submission readiness.

Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

EU MDR 2017/745 compliance specialist for medical device classification, technical documentation, clinical evidence, and post-market surveillance. Covers Annex VIII classification rules, Annex II/III technical files, Annex XIV clinical evaluation, and EUDAMED integration.

Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Scaffold, install, and compose shadcn-vue components built on Reka UI v2, including Vue variants, form patterns with vee-validate/Zod, and adaptation of existing components.

Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Plan and execute safe Convex schema and data migrations using the widen-migrate-narrow pattern and the @convex-dev/migrations component.

Build and manage Convex backends: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Tracks and optimizes AI API spending across 19 providers with live pricing and 6 optimization modules.

Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

为 MODULAR-RAG-MCP-SERVER 添加 Agentic RAG 层并跑出真实评测数据。 作者背景：应届生 + 无实习，目标 Agent 方向求职。 使用场景： 1. 用户说"加 Agent 层" / "实现 ReAct Agent" / "Agentic RAG" / "多步推理" 2. 用户说"跑评测" / "出评测数字" / "Ragas 实测" / "对比指标" 3. 用户说"继续扩建项目" / "Stage J" / "Stage K" 4. 用户在新对话中提到这个 RAG 项目需要扩展 该 skill 记录了所有背景知识、架构决策和实现细节，使 Codex 无需重新探索即可直接执行。

Configure Gemini and Codex CLI tools with Cloudflare AI Gateway endpoints and MCP servers.

Convex