AgentDB Vector Search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
3209 skills
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
Prepare and run an agent-assisted UX / workflow review of a pull request. Use when the operator says "I'm about to work on a UX PR review, please prepare", "prepare a UX review for PR
Review code changes for security, performance, and correctness. Trigger with a PR URL or diff, "review this before I merge", "is this code safe?", or when checking a change for N+1 queries, injection risks, missing edge cases, or error handling gaps.
Debug and verification workflow for runtime-bundle and module-resolution regressions. Use when diagnosing unexpected module inclusions, bundle size regressions, or CI failures related to NEXT_SKIP_ISOLATE, nft.json traces, or runtime bundle selection (module.compiled.js). Covers CI env mirroring, full stack traces via __NEXT_SHOW_IGNORE_LISTED, route trace inspection, and webpack stats diffing.
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
Patterns for cluster nodes and tree data providers in vscode-documentdb. Use when adding or changing a cluster tree item, discovery provider, Connections/Azure/Discovery tree hierarchy, tree/list mode, cluster identity, treeId/clusterId lookup, Collection View import/export resolution, reveal behavior, credentials, shell actions, or copy connection string support.
Create or evaluate an architecture decision record (ADR). Use when choosing between technologies (e.g., Kafka vs SQS), documenting a design decision with trade-offs and consequences, reviewing a system design proposal, or designing a new component from requirements and constraints.
How to write end-to-end tests using createRouterAct and LinkAccordion. Use when writing or modifying tests that need to control the timing of internal Next.js requests (like prefetches) or assert on their responses. Covers the act API, fixture patterns, prefetch control via LinkAccordion, fake clocks, and avoiding flaky testing patterns.
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
Instrumentation patterns for telemetry in the vscode-documentdb extension. Use when adding telemetry to a feature, enriching existing telemetry with properties or measurements, linking related events with correlation IDs, instrumenting commands or tree views, suppressing noisy events, or deciding what data points to capture. Also use when asked to "add telemetry" or "improve telemetry" for any feature.
React vendoring and react-server layer boundaries. Use when editing entry-base.ts, $$compiled.internal.d.ts, compiled/react* packages, or taskfile.js copy_vendor_react. Covers the entry-base.ts boundary (all react-server-dom-webpack/* imports must go through it), vendored React channels, type declarations, Turbopack remap to react-server-dom-turbopack, ComponentMod access patterns, and ESLint suppression for guarded requires.
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
Triage an external contributor's PR and prepare it for merge. Detects push permission, base branch, draft state, size, and history quality, then picks one of three paths (review-only, direct push to contributor branch, or a `reviews/` staging branch). Use when triaging or reviewing a community PR, deciding whether maintainer changes are needed, choosing a merge strategy (squash/merge/rebase), or merging an external contribution.
Plan, conduct, and synthesize user research. Trigger with "user research plan", "interview guide", "usability test", "survey design", "research questions", or when the user needs help with any aspect of understanding their users through research.
Build local React changes in the bundle variants consumed by Next.js, sync them into a local Next.js checkout, and test the resulting integration. Use when working on React changes that need validation in Next.js, or when asked to run buildForNext, pnpm sync-react, or synchronize a React checkout with Next.js.
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
Architecture patterns for React-based webviews in the vscode-documentdb extension. Use when creating new webview components, modifying existing views (CollectionView, DocumentView), working with state management (Context API), integrating Fluent UI components, handling Monaco Editor or SlickGrid, solving stale closure bugs with refs, or debugging webview rendering issues. Does NOT cover tRPC messaging (see webview-trpc-messaging skill) or accessibility/ARIA (see accessibility-aria-expert skill).
Synthesize user research into themes, insights, and recommendations. Use when you have interview transcripts, survey results, usability test notes, support tickets, or NPS responses that need to be distilled into patterns, user segments, and prioritized next steps.
Triage CI failures and PR review comments using scripts/pr-status.js. Use when investigating failing CI jobs, flaky tests, or PR review feedback. Covers blocker-first prioritization (build > lint > types > tests), CI env var matching for local reproduction, and the Known Flaky Tests distinction.
Workflow creation, execution, and template management. Automates complex multi-step processes with agent coordination. Use when: automating processes, creating reusable workflows, orchestrating multi-step tasks. Skip when: simple single-step tasks, ad-hoc operations.
Get a branch ready to open as a draft pull request, or ready to move from draft to review. Use when the operator says "prepare a PR", "open a draft PR", "I'm ready to open a PR", "check my branch before I push", "is this ready for review", or asks what is still missing before requesting review. Covers base branch, draft status, description quality, milestone, feature documentation, and commit hygiene. The full verification suite runs only at ready-for-review, never when opening a draft. Does NOT perform the AI code review itself (see CONTRIBUTING.md §6.1-6.5) — but does check that it has run —
Audit, document, or extend your design system. Use when checking for naming inconsistencies or hardcoded values across components, writing documentation for a component's variants, states, and accessibility notes, or designing a new pattern that fits the existing system.
Maintain @next/rspack-core and @next/rspack-binding packages. Use when editing rspack/package.json, rspack/crates/binding/Cargo.toml, rspack/rust-toolchain.toml, or packages/next-rspack/package.json. Covers upgrading @rspack/core npm version, rspack_* crate versions, Rust toolchain version, building and linking for local testing, and NEXT_RSPACK environment variable usage. Does NOT apply to root rust-toolchain.toml (that's for Turbopack).