Develop, adapt, review, test, and troubleshoot Nexent external memory provider plugins, including plugin.yaml manifests, searchable and ingestible provider prot
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Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
共 8 项匹配内容,示例会单独标注;未声明归属的内容不代表插件自动包含。
Develop, adapt, review, test, and troubleshoot Nexent external memory provider plugins, including plugin.yaml manifests, searchable and ingestible provider prot
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Use when designing, implementing, debugging, or reviewing Nexent relational schemas, FastAPI endpoints, backend services, database access, SQL migrations, or ba
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Use when implementing, debugging, or reviewing Nexent frontend pages, React components, hooks, API services, TypeScript types, styling, or localization under fr
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Maintain the legacy implementation-oriented Nexent Python unit tests under test/backend, test/sdk, and test/ext_components. Use for pytest fixtures, lookup-site
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Run the Nexent requirement or bug lifecycle from SPEC analysis through feature catalog and D1-D5 case design, product implementation, fixed test implementation,
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Create and maintain Nexent's requirement-driven feature catalog, D1-D5 structured cases, change records, fixed automation, implementation manifest, generated Ex
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Create, refine, and optimize high-quality YAML prompts for AI assistants. Use when working with prompt templates, system prompts, agent prompts, or any prompt e
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Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabil
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