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nexent-backend

Use when designing, implementing, debugging, or reviewing Nexent relational schemas, FastAPI endpoints, backend services, database access, SQL migrations, or backend/SDK configuration. Includes table/field naming, types, JSONB boundaries, audit fields, keys, and indexes even before code paths exist. Skip frontend-only work and unrelated SDK algorithms.

インストール方法を見る

含まれるファイル(6)

  • SKILL.md1.9 KB
  • references/configuration.md844 B
  • references/database.md9.3 KB
  • references/http.md2.4 KB
  • references/services.md1.1 KB
  • references/thread-lifecycle.md5.5 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Nexent backend changes

Repository paths below are relative to the root; reference links resolve from this skill directory.

  1. Identify the affected boundary and inspect existing callers and contracts. Apps handle HTTP, services orchestrate business logic, and database modules own persistence.
  2. Read only the references matching the work. For end-to-end changes, read each affected layer before editing.
WorkReference
HTTP routes, validation, identity, response/error mappingHTTP layer
Business orchestration and domain errorsServices
Relational schema design, models, keys/indexes, queries, transactions, SQL migrationsDatabase
Environment configuration and SDK configuration parametersConfiguration
Threads, worker pools, blocking calls, background loops, streaming resource lifetimeThread lifecycle
  1. Preserve public contracts. Apply conventions to the changed scope; do not refactor unrelated legacy behavior merely to satisfy a rule.
  2. Verify affected success and failure behavior. For Python unit tests, use nexent-python-tests linked from root AGENTS.md. Unit-test mocks do not establish live-integration acceptance.
  3. Report references consulted, affected contracts, and verification results. Resolve material contract conflicts using concrete evidence; routine implementation choices do not require additional permission.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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Develop, adapt, review, test, and troubleshoot Nexent external memory provider plugins, including plugin.yaml manifests, searchable and ingestible provider protocols, error mapping, network-isolated unit tests, deployment configuration, and Mem0-based examples. Use when adding a new external memory vendor, changing an existing memory plugin, validating partner adapters, or diagnosing plugin discovery, authentication, retrieval, ingestion, or CI failures.

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。

ModelEngine-Group/nexent5,9172026年10月11日 更新

Use when implementing, debugging, or reviewing Nexent frontend pages, React components, hooks, API services, TypeScript types, styling, or localization under frontend/. Includes UI requests without file paths. Skip backend-only work, Python tests, and documentation-only changes with no frontend behavior.

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。

ModelEngine-Group/nexent5,9172026年10月11日 更新

Maintain the legacy implementation-oriented Nexent Python unit tests under test/backend, test/sdk, and test/ext_components. Use for pytest fixtures, lookup-site mocking, async behavior, isolation, and regression assertions in those existing suites. Do not create or maintain the requirement-driven D1-D5 baseline, automation, or manifest.

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。

ModelEngine-Group/nexent5,9172026年10月11日 更新

Run the Nexent requirement or bug lifecycle from SPEC analysis through feature catalog and D1-D5 case design, product implementation, fixed test implementation, local verification, and delivery evidence. Use for features, fixes, refactors, APIs, UI, and model or Agent runtime changes.

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。

ModelEngine-Group/nexent5,9172026年10月11日 更新

Create and maintain Nexent's requirement-driven feature catalog, D1-D5 structured cases, change records, fixed automation, implementation manifest, generated Excel baseline, migration inventory, and Mock/Real execution declarations. Use for requirements, bug regressions, test implementation, V5 migration, or formal test-asset consistency work. Excludes the Legacy UT suite.

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。

ModelEngine-Group/nexent5,9172026年10月11日 更新

Create, refine, and optimize high-quality YAML prompts for AI assistants. Use when working with prompt templates, system prompts, agent prompts, or any prompt engineering tasks. Provides structure guidelines, template patterns, and quality standards for YAML-based prompts.

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。

ModelEngine-Group/nexent5,9172026年10月11日 更新

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