CREVOX Prompt + Capability Registry
CREVOX defined a prompt and capability registry that organizes reusable AI instructions, purpose, inputs, outputs, models, tools, versions, evaluations, ownership, risk, and execution interfaces.
Primary reader question: How can an organization manage prompts as versioned, testable, reusable, and governed AI capabilities?
What this CREVOX project established
The CREVOX registry converts an informal prompt library into a governed capability system. Each capability can be discovered, versioned, tested, approved, reused, monitored, and connected to broader workflows without exposing protected instructions unnecessarily.
The condition that required a controlled system response
As prompt and agent assets multiply, filenames and folders no longer provide enough control. Teams can lose track of versions, dependencies, permitted data, expected outputs, and whether a capability remains valid.
Constraints that governed the work
- Support both simple prompts and multi-agent workflow specifications.
- Preserve human-readable short codes while enabling machine-readable execution.
- Track sensitive capabilities without exposing protected prompt text publicly.
- Allow phased migration from CSV to JSON and database-backed management.
Why this work matters beyond the technology.
Protects institutional AI knowledge from being lost inside individual accounts or undocumented conversations.
Improves consistency and quality by connecting capabilities to versions, tests, approved models, tools, inputs, and outputs.
Creates the foundation for reusable agents, services, applications, audits, and controlled AI delivery.
How the work was structured to reduce uncertainty and execution risk.
- 01
Define a canonical metadata schema for prompts, workflows, agents, output types, and dependencies.
- 02
Assign stable identifiers and human-friendly invocation codes.
- 03
Separate public descriptions from protected instructions and credentials.
- 04
Track versions, status, evaluations, owners, source documents, and deployment targets.
What the system contains and how the parts work together.
A reusable capability registry schema.
CSV-to-JSON migration path.
Version and status controls.
Search, filtering, dependency, and evaluation fields.
Foundation for future managed execution and APIs.
Controlled outputs created, implemented, or formally defined
What is materially different because of the work
The statements below reflect the documented project state. They do not convert an active, defined, or conceptual project into a completed implementation or claim unsupported financial results.
- CREVOX capabilities can be treated as managed assets rather than scattered prompt documents.
- The registry creates a base for productization, agent orchestration, permissions, and quality reporting.
- Reusable instructions can remain protected while their purpose and interfaces remain discoverable.
Artifacts that can substantiate the work
Public evidence depends on client permission and confidentiality. HCG can use approved public, controlled, or anonymized artifacts without presenting confidential material as open proof.
Direct answers for readers evaluating a comparable need.
What business problem does Prompt Registry address?
The CREVOX registry converts an informal prompt library into a governed capability system. Each capability can be discovered, versioned, tested, approved, reused, monitored, and connected to broader workflows without exposing protected instructions unnecessarily.
What did CREVOX create or define?
The defined solution includes the following components: A reusable capability registry schema; CSV-to-JSON migration path; Version and status controls.
What is the current status of Prompt Registry?
Defined specification. The project has a defined specification or framework and is not presented as a fully deployed production system. CREVOX capabilities can be treated as managed assets rather than scattered prompt documents. The registry creates a base for productization, agent orchestration, permissions, and quality reporting.
Lessons carried into future HCG and CREVOX work
- A prompt library becomes operational only when version, ownership, inputs, outputs, and evaluations are controlled.
- Machine-readable metadata is required for reliable orchestration.
- Public capability descriptions and protected execution instructions should be separate records.
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