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Set up Firebase command-line tools, sign in, and create or switch projects. Retrieve Android and iOS app configuration files through commands, including guidance for signing in from remote environments.
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Build and manage business tables in Feishu Base, including fields, records, views, and data queries. Create forms and dashboards, configure automated workflows, organize BaseApp pages and components, and manage role-based access permissions.
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Scan Android APK files for Firebase configuration and access-control weaknesses in databases, storage, authentication, and cloud functions. Produce text and JSON reports with evidence, severity ratings, and suggested fixes for authorized security assessments.
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Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong. Firestore queries are limited, and you learn this after you've designed your data model. This skill covers Firebase Authentication, Firestore, Realtime Database, Cloud Functions, Cloud Storage, and Firebase Hosting. Key insight: Firebase is optimized for read-heavy, denormalized data. If you're thinking relationally, you're thinking wrong. 2025 lesson: Firestore pricing can surprise you. Reads are cheap until they're not. A poorly designed listener can cost more than a dedicated database. Plan your data model for your query patterns, not your data relationships. Use when "firebase, firestore, firebase auth, cloud functions, firebase storage, realtime database, firebase hosting, firebase emulator, security rules, firebase admin, firebase, firestore, cloud-functions, serverless, backend, realtime, authentication, google-cloud" mentioned.
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Audit whether a paper's baseline comparisons are COMPLETE, FAIR, and SIGNIFICANT: a required recent SOTA baseline is missing while 'best/SOTA' is claimed (HP-MISSING-BASELINE); a baseline is undertuned / given less compute-tuning-data, run at a mismatched config, or the equal-budget ablation-as-baseline is absent (HP-WEAK-BASELINE); 'outperforms' is asserted over overlapping error bars or with no variance/seeds (HP-SIG-OVERLAP); and a cross-row 'improves over baseline by X%' is arithmetically wrong (HP-DELTA-ERROR, cross-row form only). A versioned per-domain baseline profile + a live leaderboard/recency search are assembled by the EXECUTOR as structured facts; a fresh cross-model reviewer (gpt-5.6-sol xhigh, read-only, fresh thread per dimension) PROPOSES findings, each span-anchored to a ledger claim_id; tools/adjudicate_findings.py DECIDES the verdict. Works at L0 (stated comparisons) and deepens at L2 (configs/result files). A completeness question it cannot settle internally becomes needs_external_check, never a guessed missing baseline. Emits baseline-comparison-audit.findings.json; computes NO verdict. Detect-only. Triggers: "baseline audit", "missing baselines", "is the comparison fair", "weak baseline", "baseline 误报", "SOTA earned?".
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Audit any Supabase project for security vulnerabilities, RLS misconfigurations, exposed API keys, auth bypasses, and storage issues. Use this skill whenever the user mentions Supabase security, RLS policies, database security audit, security review, penetration testing a Supabase app, checking if their database is exposed, hardening their Supabase project, fixing RLS, or anything related to securing a Supabase or vibe-coded application. Also trigger when the user asks about securing apps built with Lovable, Bolt, Replit, Cursor, or any AI coding tool that uses Supabase as a backend. Even if the user just says 'is my app secure' or 'check my database' and their project uses Supabase, use this skill. (DEPRECATED: this skill is a backwards-compat shim. Prefer the multi-backend `database-sentinel` skill, which covers Supabase plus Firebase, MongoDB, self-hosted Postgres, and self-hosted MySQL.)
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Automate Baserow operations through Rube MCP, a connection to external tools. The skill searches for actions matching a task, checks their current input requirements and connection status, and executes the discovered tools.
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Automate Baserow operations through Rube MCP, a connection to external tools. The skill searches for actions matching a task, checks their current input requirements and connection status, and executes the discovered tools.
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Manage Volcengine's AI-native BaaS platform (Supabase edition / AIDAP / 火山引擎 AI 原生 BaaS 平台 Supabase 版) — a Volcengine-operated distribution that differs from official Supabase. Use when the user asks to create, inspect, or manage Volcengine Supabase or AIDAP resources — workspaces, branches, computes, SQL queries, schema changes, Auth, Realtime, Edge Functions, Storage buckets, frontend static-site hosting (Pages), API keys, connection info, or TypeScript type generation — or when a Volcengine deployment selects AIDAP as its database provider. Also trigger on Chinese prompts mentioning "火山引擎 Supabase" or "火山 Supabase". Operations run through the byted-supabase-cli command-line tool (installed via `npm i -g @byted-supabase/cli`; this is NOT the official `supabase` CLI). Do NOT use it for general database discussions, non-Supabase services (RDS MySQL, Redis), or pure client-side coding unrelated to Supabase backend management.
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코딩 에이전트가 gbrain을 호출하도록 CLI 설치, 로컬 PGLite 또는 Supabase 초기화, MCP 등록과 원격 연결별 신뢰 정책 설정을 진행합니다.
Choose a Google Cloud database by clarifying data needs, workload, and scale. The skill explains its recommendation and prepares validated Terraform configurations or provisioning scripts for review before infrastructure changes are made.
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Build and validate Obsidian Bases files that display notes as tables, cards, or lists. Define filters, calculated values, displayed properties, and summaries to create reading lists, task trackers, and other database-like views of existing notes.
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Accept screenshot baseline changes by running the project's dedicated script, then commit the updated version.json using the project's commit conventions. This provides an explicit command for recording changes to the screenshot comparison baseline.
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git rebase / git pull --rebase を伴う操作の安全運用ルール。履歴書き換えは復旧不能な事故になり得るため、rebase 系コマンドを 1 つでも実行する前に必ず本スキルを参照する。「rebase して」「main に追従して」「ブランチを最新化して」「コミットをまとめて / 整理して」「squash して」「fixup を畳んで」「履歴をきれいにして」「force-push して」と依頼される、PR 前に履歴を整える、コンフリクト解消のために rebase する、といった場面すべてが対象。決定論スクリプトによるガードレール判定（保護ブランチ・push 済み範囲・子ブランチ・進行中操作・コンフリクト予測）→ 計画提示 → ユーザー承認 → backup ブランチ作成 → 非対話実行 → range-diff / tree 同一性による機械検証、のゲートを固定化する。plugin hooks の git-guard により backup 作成（解錠）なしの git rebase は機械的にブロックされる。
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Retrieve Coinbase cryptocurrency wallets, work through every results page, and collect balances and wallet details for portfolio reports. The skill also describes comparing wallet lists with previously stored IDs to identify newly added wallets.
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Create and edit Obsidian Bases files to organize notes into tables, cards, and lists. Filter notes by tags or properties, calculate values such as days until a deadline, and configure grouping and summaries.
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Retrieve Coinbase cryptocurrency wallets, work through every results page, and collect balances and wallet details for portfolio reports. The skill also describes comparing wallet lists with previously stored IDs to identify newly added wallets.
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Create and edit Obsidian Bases files to organize notes into tables, cards, and lists. Filter notes by tags or properties, calculate values such as days until a deadline, and configure grouping and summaries.
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Reads from, writes to, and manages relational databases using MATLAB Database Toolbox. Use when connecting to databases, reading data with sqlread or fetch, filtering with rowfilter, writing with sqlwrite, updating with sqlupdate, executing SQL statements, managing transactions with commit and rollback, mapping MATLAB classes to tables with ORM (Mappable, ormread, ormwrite, ormupdate), or performing any database operation from MATLAB. Triggers on: database, SQL, sqlread, sqlwrite, sqlupdate, fetch, execute, rowfilter, RowFilter, ORM, Mappable, ormread, ormwrite, ormupdate, orm2sql, transaction, commit, rollback, Database Toolbox, PostgreSQL, MySQL, SQLite, SQL Server, Oracle, database connection, database table, query database, insert data, update rows, delete rows, stored procedure, prepared statement, odbc, databaseConnectionOptions, datasource, data source, DSN, connection string, multithreaded, parallel.
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Use this skill when you develop, design, build, deploy, debug, migrate, or troubleshoot CloudBase (腾讯云开发, 云开发, TCB, 微信云开发) projects — Web, 微信小程序, 小程序, uni-app, mobile (iOS, Android, Flutter, React Native). Covers UI (页面, 界面, 表单, dashboard, prototype, 原型); auth (登录, 注册, OAuth, publishable key); databases (NoSQL 文档数据库, MySQL 关系型数据库, PostgreSQL/CloudBase PG, app.rdb(), queryPgDatabase/managePgDatabase, CRUD, security rules); 云函数/cloud functions (serverless, scf_bootstrap); CloudRun (云托管, Dockerfile); 云存储; built-in AI (内置大模型, AI 对话, streaming, 流式输出, 图片生成, generateText, streamText, createModel, generateImage, TokenHub, Hunyuan, DeepSeek, GLM, Kimi, Token Credits 资源包, 小程序成长计划); third-party/custom model onboarding (第三方大模型接入, 大模型调用, LLM API); AI agent (智能体, AG-UI, LangGraph); ops troubleshooting (巡检, 诊断, 日志); spec workflow (需求文档, 技术方案, requirements, tasks.md). Do NOT use for non-CloudBase projects, pure frontend without CloudBase, or self-hosted backends without CloudBase.
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Automate Browserbase Tool operations through Rube MCP, a connection for agent tools. The skill guides tool discovery, connection checks, and execution using current input requirements, with guidance for bulk operations and paginated results.
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Automate Baselinker operations through Rube MCP using Composio tools. The skill guides an agent through finding available actions, checking the service connection, and supplying the required inputs for individual or bulk tasks.
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Manage separate local development environments for multiple branches using the project's pnpm worktree CLI. Each environment has its own ports and dependencies, with options to share Supabase or isolate database changes for testing.
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Automate Browserbase Tool operations through Rube MCP, a connection for agent tools. The skill guides tool discovery, connection checks, and execution using current input requirements, with guidance for bulk operations and paginated results.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.