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nexent

nexent

Route Nexent SDK, backend, frontend, knowledge/memory, and deployment tasks across the zero-code AI agent platform monorepo.

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Documentation de la Skill

GitHub

name: nexent description: "Route Nexent SDK, backend, frontend, knowledge/memory, and deployment tasks across the zero-code AI agent platform monorepo." disable-model-invocation: true metadata: disco-role: operating license: MIT

Nexent Repo Skill

Use this repo skill when a task involves Nexent, a zero-code platform and SDK for generating and operating AI agents. It routes future agents to the right operating context for SDK runtime, backend APIs, document/knowledge/memory workflows, frontend integration, and deployment operations.

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Route by task

User taskUse
Build, test, or debug SDK agents, AgentConfig, ModelConfig, streaming agent_run, model/tool/MCP/A2A setup, sandbox, scheduler, monitoring, or SDK skill manager behaviorsub-skills/sdk-agent-runtime/SKILL.md
Change or diagnose FastAPI routes, services, database helpers, backend env constants, errors, prompt templates, auth/tenant permissions, model/agent/skill APIs, or backend testssub-skills/backend-services-api/SKILL.md
Work on document ingestion, file splitting/conversion, vector DB, knowledge-base search, MinIO/storage, memory records/retrieval/dreaming, or data-process worker boundariessub-skills/knowledge-data-memory/SKILL.md
Update Next.js pages/components, frontend services/types, chat streaming UI, i18n, stores/hooks, or npm run check-all failuressub-skills/frontend-integration/SKILL.md
Operate or modify Docker/Kubernetes/offline deployment, env examples, image builds, SQL migrations/init sync, monitoring deployment, uninstall/upgrade behaviorsub-skills/deployment-operations/SKILL.md

Common setup surfaces

  • Python work targets Python 3.11. The SDK package is distributed as nexent; the backend has its own project metadata and depends on the SDK source for application behavior.
  • Backend development normally installs backend dependencies and the local SDK package; SDK-only work can install the SDK package alone.
  • Frontend work uses the frontend package scripts: development server, type check, lint, format check, and build.
  • Full-stack runtime needs deployment-managed services such as PostgreSQL/Supabase, Redis, Elasticsearch, MinIO, data-process workers, and optional monitoring/provider integrations.

Bundled helper

Run scripts/nexent_static_probe.py for a safe high-level checkout probe. It prints package metadata, important directories, and whether sub-skill static helpers can see their expected files. It does not start services, call providers, or run native tests.

Global guardrails

  • Keep backend environment-variable reads centralized in backend constants; SDK code receives explicit configuration objects and parameters.
  • Do not run live model, MCP, provider, Docker, Kubernetes, Redis, Elasticsearch, MinIO, Ray, Celery, or database checks unless the task explicitly asks and the user supplies the needed environment/credentials.
  • Prefer focused pytest/static checks to the full suite unless validating a release or broad refactor.
  • For schema changes, coordinate backend models/helpers, migration SQL, fresh-deploy init SQL, and frontend types where public payloads change.
  • Keep generated skill usage self-contained: use bundled references and scripts here for orientation, then inspect the task checkout only for the files you are actively changing.
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