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memory
Two-layer memory system with grep-based recall.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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Two-layer memory system with grep-based recall.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Guides AI agents to create, edit, update, optimize, and delete JMeter test plan elements through the JMeter API. Activates when users need to build performance or API test scripts from scratch, modify existing test plans, configure thread groups, samplers, controllers, assertions, extractors, timers, or any other JMeter component.
Create or update JMeter AI AgentSkills. Use when designing, structuring, writing, or validating new SKILL.md skill packages with references, schemas, scripts, and assets.
| name | memory |
| description | Two-layer memory system with grep-based recall. |
| always | true |
memory/MEMORY.md: Long-term facts (preferences, project context, relationships). Always loaded into your context.memory/HISTORY.md: Append-only event log. NOT loaded into context. Search it with grep-style tools or in-memory filters. Each entry starts with [YYYY-MM-DD HH:MM].Choose the search method based on file size:
memory/HISTORY.md: use read_file, then search in-memorymemory/HISTORY.md: use the list_dir and read_file tools for targeted searchExamples:
read_file with path memory/HISTORY.mdPrefer targeted search for large history files.
Write important facts immediately using edit_file or write_file:
Old conversations are automatically summarized and appended to HISTORY.md when the session grows large. Long-term facts are extracted to MEMORY.md. You don't need to manage this manually.