1.7천건 · 관련도순
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.
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Map the competitive landscape for a Stellar project idea. Use when a user says "who are my competitors on Stellar", "competitive analysis Stellar", "what already exists in this space on Stellar", "show me similar Stellar projects", "is anyone else building this on Stellar", or "map the Stellar landscape for X". Queries the 728-project LumenLoop ecosystem database and Electric Capital developer activity to rank competitors by SCF funding history and repo activity.
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Draft Stellar Community Fund Build Award applications interactively. Use when helping teams write their SCF submission — walks through project description, Stellar integration rationale, technical architecture, team section, deliverables, budget, and traction evidence. Produces a complete draft aligned with what funded projects look like.
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Stellar standards, ecosystem, and reference. Covers SEPs (Stellar Ecosystem Proposals), CAPs (Core Advancement Proposals), and a quick map for picking the right standard for wallets, anchors, payments, deposits/withdrawals, federation, deep links, and KYC. Also bundles ecosystem references (DeFi protocols, dev tools, wallets, infra, community projects), curated documentation links, and MCP servers (live tools such as Raven). Use when you need to know which SEP applies, or want a starting point for ecosystem integrations, official docs, or live MCP tooling.
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Two-phase memory hygiene. Phase 1: scan external Claude Code memory (~/.claude/projects/<slug>/memory/) for durable rules to migrate into the repo and entries already duplicated by repo atoms. Phase 2: audit in-repo memory/, CLAUDE.md, docs/architecture/, and docs/sections/ for dead links, duplication, drift, and bloat.
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Design proof-of-concept frameworks for AI projects. TRIGGERS - Use when user needs help with ai-poc-framework related tasks.
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Plan AI fine-tuning projects with data preparation, training, and evaluation. TRIGGERS - Use when user needs help with ai-fine-tuning-plan related tasks.
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Plan adaptive reuse projects. TRIGGERS - Use when user needs help with adaptive-reuse-plan related tasks.
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Gets actor and level 3D bounding boxes and projects them into a camera image as 2D boxes — the dataset-annotation workflow. Lists box geometry, draws 3D boxes in the world via debug, or captures one camera frame and writes an annotated PNG plus a JSON of 2D boxes for matching actors. Use when the user asks to "get bounding boxes", "draw boxes around the cars", "project boxes onto the camera", or "generate a detection dataset / annotations".
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Vitest 5 (Vite ネイティブテストフレームワーク) リファレンス。 test, describe, it, expect, vi.fn, vi.mock, vi.spyOn, vi.when、 beforeEach / afterEach、test.extend fixtures、test tags / annotations、 coverage (v8 / istanbul)、snapshot、vitest.config.ts、projects (old workspace)、 Vitest Browser Mode (vitest-browser-react, locators, expect.element)、UI モード、bench fixture。
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GitHub 公式ドキュメント (docs.github.com)。REST API, GraphQL, Webhooks, GitHub Apps, OAuth Apps, gh CLI, PAT / GITHUB_TOKEN, Actions (jobs, steps, expressions, workflow commands, concurrency, OIDC, artifact attestations, lockfile), pull requests, issues, Projects v2, immutable releases, Codespaces, Packages, Copilot API / cloud agent, code scanning, secret scanning, Dependabot, Dependency graph / SBOM, Teams, Billing, activity (events / notifications)。
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OpenAI API (developers.openai.com) の運用・管理リファレンス。 Administration API, admin API keys, RBAC, roles, groups, invites, projects, spend limits, audit logs, usage / costs API, Terraform provider (openai/openai), workload identity federation (WIF, OIDC / SPIFFE / X.509 / Idira), moderation API, misalignment monitoring, safety alerts / cases, safety best practices, under-18 guidance, ZDR Private Safety Processing (PSP), production best practices, deployment checklist, cost / latency optimization, fast / ultrafast mode, Realtime API costs。 rate limits・error handling・prompt caching・webhooks は openai-api-core、Codex WIF・管理は openai-codex。
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Claude Code (code.claude.com) の各サーフェス（Desktop / IDE / Web / mobile / ターミナル UX）リファレンス。 Desktop app (launch.json, scheduled tasks, WSL, Linux, iOS simulator)、 VS Code / JetBrains / Chrome 拡張 (Claude in Chrome)、 claude.ai/code クラウドセッション (--cloud, --teleport, Projects)、mobile、 interactive mode, fullscreen, /tui, voice dictation, accessibility, computer use, artifacts。
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Unity 6 UI development guide. Use when building user interfaces, menus, HUD, buttons, or any UI elements. Covers UI Toolkit (recommended for new projects — USS, UXML, UI Builder, data binding), uGUI/Canvas (legacy runtime UI), and IMGUI. Based on Unity 6.3 LTS documentation.
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Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI, including chat interfaces. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for "shadcn init", "create an app with --preset", "switch to --preset", and for building a design system or applying a DESIGN.md or brand spec to shadcn/ui.
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Use when the user is explicitly working with Quarto, .qmd files, _quarto.yml, Quarto projects, or Quarto features such as callouts, cross-references, citations, Mermaid diagrams, extensions, websites, books, presentations, and reports. Also use for explicit migration from or comparison with R Markdown, bookdown, blogdown, xaringan, distill, or Jupyter notebooks to Quarto. Do not use for general R Markdown or related-format questions unless Quarto or migration to Quarto is explicitly mentioned.
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SQLAlchemy 2.x patterns for async FastAPI projects: models, sessions, queries, bulk operations, transactions, and Alembic migrations. Trigger: When writing models, queries, bulk operations, or DB-touching service code.
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Provides expert knowledge of the testing pyramid, test design principles, MockK patterns, and integration testing conventions for Spring Boot + Kotlin projects.
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Provides expert knowledge of the testing pyramid, test design principles, MockK patterns, and integration testing conventions for Spring Boot + Kotlin projects.
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Provides expert knowledge for building Django 5+ projects with UV as the package manager, domain-driven app structure, ruff for linting, and pytest-django for testing.
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Python and Django conventions for multi-tenant SaaS POS projects: views, services, naming, JSON APIs, PDFs, and cart patterns. Trigger: When writing any view, service, API endpoint, or model code in apps/.
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Testing patterns for multi-tenant Django POS projects using pytest-django, RequestFactory, and mocks. No factories, no complex conftest. Trigger: When writing or reviewing tests in any apps/ directory.
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Django ORM patterns for multi-tenant POS projects: efficient queries, bulk operations, transactions, and multi-schema upload paths. Trigger: When writing queryset logic, model saves, or DB-touching service code.
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Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.
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