Retrieve reusable application patterns from AgentDB via semantic search.
npx skills add https://github.com/dug-21/neural-data-platform --skill get-pattern
Please help me install this Agent Skill. Skill: get-pattern Source: https://github.com/dug-21/neural-data-platform/tree/main/.claude/skills/get-pattern Command: npx skills add https://github.com/dug-21/neural-data-platform --skill get-pattern
This skill retrieves established application patterns from AgentDB's semantic pattern search to guide implementation decisions and ensure consistency.
Use this skill to locate a domain-adapter pattern for a new HTTP source, then review recommended patterns before coding.
High-intent search queries and answers about installing and using this skill.
Reusable architecture patterns for development workflows are found using semantic pattern search via AgentDB. It retrieves established data-flow and deployment patterns to guide implementation decisions and ensure consistency across streams and adapters.
Pattern usage statistics can be retrieved from AgentDB using the agentdb_pattern_stats function. This provides insights into how often specific architecture and development patterns are applied across different implementation contexts.
When semantic pattern search returns no matching results, the skill applies a reflexion fallback using the reflexion_retrieve function. This ensures development workflow guidance continues even when specific architecture patterns are missing from the database.
To locate a domain-adapter pattern for a new HTTP source, query AgentDB's semantic pattern search before coding. Review the retrieved domain patterns to align with existing conventions, reducing rework during implementation.
You need to search for established application patterns before implementing a new feature to align with existing conventions. Querying AgentDB for architecture and data-flow patterns guides design decisions and reduces rework across development workflows.
This pattern search approach works for architecture reviews, development workflows, and procedure guidance across streams and adapters. It retrieves established application patterns from AgentDB to support consistent implementation decisions.
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