dsh-bid-studio
Run the following command in DeepSeek Harness:
dsh plugin install aiko-dsh-plugins/dsh-bid-studio
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install aiko-dsh-plugins/dsh-bid-studio in your DeepSeek Harness profile to install the plugin; the source repository is at https://github.com/aiko-dsh-plugins/dsh-bid-studio. After a profile restart, the Bid Studio entry appears in the application sidebar.
About this plugin
Tender and bid preparation tends to live in a patchwork of documents, emails, and spreadsheets with little end-to-end structure. DSH Bid Studio adds a dedicated bid workbench to your DeepSeek Harness sidebar and anchors the entire pipeline in a complete tender ontology of objects, relationships, Functions, and Actions, giving every step a defined semantic role and an executable path.
The core workflow is deterministic rather than model-driven: the plugin registers bid.* definitions, adapters, and tools under its own namespace, runs the process step by step with local persistence of projects and graph records, pauses at human-approval gates, and finally emits a reviewable text artifact. An ontology inspector lets you browse every definition category and workflow step at a glance, so teams can align on the model before executing a single transition.
All of this sits on top of the independently installed DSH Ontology Kernel, which owns the runtime, durable graph storage, and browser remotes. When your organization later adds a contract workbench or a project workbench, each one simply registers its own namespace against the same runtime without rebuilding infrastructure. AI-driven Action adapters are left as an extension point at the Kernel level, so intelligence can be layered onto individual steps without touching the existing workflow. The plugin is a good fit for teams that need a reproducible, auditable bid pipeline and want to grow it incrementally module by module.
Use Cases
- End-to-end structured management of a tender from intake to submission
- Deterministic multi-role review and auditable text export of bid documents
- Sharing one ontology runtime and graph storage across bid, contract, and project workbenches
Best For
- Teams that need a reproducible and auditable bid pipeline
- Developers building domain-specific workbenches on DeepSeek Harness
- Architects who want a unified ontology layer across business modules
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