memorise
SolidCapture key learnings, patterns, gotchas, or context as persistent memories
Install
Quality Score: 83/100
Skill Content
Details
- Author
- jmylchreest
- Repository
- jmylchreest/aide
- Created
- 5 months ago
- Last Updated
- today
- Language
- Go
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
auto-memory
This skill should be used when the user asks to 'set up memory', 'create memory files', 'create MEMORY.md', 'set up topic files', 'improve memory organization', 'what should I remember', 'how to structure memory files', 'MEMORY.md is too long', 'what goes in memory vs topic files', 'memory best practices', or wants to establish a persistent knowledge base across Claude Code sessions. Triggers on: memory setup, MEMORY.md, topic files, cross-session knowledge, persistent notes, memory maintenance, memory pruning.
cf-remember
Extract project knowledge from conversation to docs/memory — for AI recall in future sessions. Use when the user wants to save project context, capture decisions, document conventions, or preserve knowledge — e.g. "remember this", "save this to memory", "document what we did", "capture this decision", "write this down", "note this", "record this convention". Auto-invoke when: (1) a bug fix had a non-obvious root cause, a workaround, or took multiple attempts — save to bugs/; (2) an explicit architecture or approach decision was made — save to decisions/; (3) a new project-wide convention or pattern was established — save to conventions/; (4) a substantial session ends with new feature flows, non-obvious API behavior, or gotchas — save to features/. Do NOT auto-invoke for trivial fixes, simple config changes, or purely educational exchanges (use $cf-learn for those). Unlike $cf-learn (educational notes for humans), this saves project context for AI recall.
preference-and-memory
Captures and evolves user preferences with confidence levels. Maintains Voice of the Customer model with exact language, dissatisfaction and aspiration signals. Handles promotion/demotion, global vs project scoping, auto memory system, and Omi wearable data integration.