Create, update, or review agentmemory skills using a shared format. It guides document structure, supporting files, and generated reference data so contributions follow consistent rules and stay aligned with the source code.
The house format and rules for writing or updating an agentmemory skill. Use when adding a new skill, restructuring an existing one, or reviewing a skill contribution for consistency.
Review the instructions the agent will receive before you install.
agentmemory skills follow one tiered format so they stay skimmable, accurate, and current. Match it exactly.
plugin/skills/<name>/
SKILL.md (required, under 100 lines)
REFERENCE.md (optional, dense facts; auto-generate data tables)
EXAMPLES.md (optional, worked transcripts)
TROUBLESHOOTING.md (generated support file)
name, description, optional argument-hint, and user-invocable. Set user-invocable: true only for skills the user runs as a slash command; reference and knowledge skills are false.Facts that exist in source (tool names and parameters, REST endpoints, env vars, connect adapters, hook events) are generated, never hand-typed. Edit the source, then run npm run skills:gen. CI runs npm run skills:check and fails on drift, so generated tables cannot fall behind the code.
No external or competitor product names. No emojis. No em-dashes. No filler. State the thing and stop.
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Connect agentmemory to coding agents such as Claude Code and Codex while preserving existing server settings. It guides configuration, host restarts, and checks that memory tools are available and can save and retrieve information.
Explain how agentmemory stores and retrieves coding agents’ memories, including its engine, search methods, memory lifecycle, ports, and web viewer. Useful for understanding the system or planning extensions to its functions.
Set up and troubleshoot a local agentmemory server by checking MCP connections, authentication, ports, and environment settings. Understand which optional memory features require additional configuration, model downloads, or token usage before enabling them.
Understand how agentmemory automatically records tool activity, prompts, and session boundaries through hooks, actions triggered by session events. Use it to check integration setup, investigate missing records, and distinguish capture from optional summaries and context injection.
Helps agents choose the right agentmemory tool through MCP, a protocol for connecting agents to tools. It explains tool roles and points to parameter references for saving, retrieving, organizing, and maintaining stored knowledge.
Guides HTTP integration with the agentmemory server for saving and searching knowledge. It explains authentication, request conventions, and endpoint references, including how to connect systems that do not support MCP, the agent tool connection protocol.