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skills/spec-scaffold/templates/adr.md

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+[DATE] - [ARCHITECTURE_DECISION_NAME]
+===
+
+## Motivation
+
+<!--
+  Motivation Example
+  ===
+
+  Our database is heavy on read operations than write operations. After users is growing, we need to optimize read performance to ensure low latency and high availability.
+
+  ### Stackholder
+
+    - **Users**: Expect fast response times when accessing data.
+    - **Developers**: Need to maintain and scale the database efficiently.
+
+  ### Problem Statement
+
+    The current database setup is struggling to handle the increasing read load, leading to slow response times and potential downtime during peak usage periods.
+-->
+
+[DESCRIPTION_OF_THE_DECISION_PROBLEM]
+
+### Stakeholders
+
+- [STAKEHOLDER_1]: [ROLE_AND_INTEREST]
+- [STAKEHOLDER_2]: [ROLE_AND_INTEREST]
+
+### Problem Statement
+
+[DETAILED_DESCRIPTION_OF_THE_PROBLEM]
+
+## Proposed Solution
+
+<!--
+    Proposed Solution Example
+    ===
+
+    We have considered the following solutions to address the read performance issue:
+
+    ### Redis Caching
+
+    Implementing Redis as an in-memory caching layer to store frequently accessed data. This will reduce the load on the primary database and speed up read operations.
+
+    ### Read Replicas
+
+    Setting up read replicas of the primary database to distribute read traffic. This will help in balancing the load and improving read performance.
+-->
+
+### [SOLUTION_NAME]
+
+[DESCRIPTION_OF_SOLUTION]
+
+### [SOLUTION_NAME]
+
+[DESCRIPTION_OF_SOLUTION]
+
+## Decision
+
+<!--
+    Decision Example
+    ===
+
+    After evaluating the proposed solutions, we have decided to implement Redis Caching because it provides a significant performance boost for read operations with relatively low complexity and cost.
+-->
+
+After evaluating the proposed solutions, we have decided to implement [CHOSEN_SOLUTION_NAME] because [REASON_FOR_CHOICE].
+
+## Consequences
+
+<!--
+
+    Consequences Example
+    ===
+
+    Implementing Redis Caching will have the following consequences:
+
+    ### Positive Consequences
+
+    - Improved read performance, leading to faster response times for users.
+    - Reduced load on the primary database, enhancing overall system stability.
+
+    ### Negative Consequences
+
+    - Additional infrastructure to manage and maintain (Redis server).
+    - Potential data consistency issues if cache is not properly invalidated.
+-->
+
+### Positive Consequences
+
+- [POSITIVE_CONSEQUENCE_1]
+- [POSITIVE_CONSEQUENCE_2]
+
+### Negative Consequences
+
+- [NEGATIVE_CONSEQUENCE_1]
+- [NEGATIVE_CONSEQUENCE_2]