القائمة
Extract durable learnings and preferences from the current conversation for memory capture. Use this after a conversation to capture what should be remembered.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Consolidate and clean up existing brain memory. Run this periodically (like a sleep cycle) to dedupe, decay, merge, and relocate memories to vault.
Remove old pi session files to reclaim disk space
Testing-focused coding workflow. Extends code-assist with enhanced test generation, coverage analysis, and test quality gates.
Systematic debugging workflow for diagnosing and fixing issues. Follows a structured approach to isolate problems, form hypotheses, and verify fixes.
Generate documentation from code or scratch - READMEs, API docs, changelogs, and user guides. Complements codebase-summary which analyzes existing code.
Track skill usage with correctness scoring, generate reports, and identify unused or misused skills for pruning.
| name | extract-memory |
| description | Extract durable learnings and preferences from the current conversation for memory capture. Use this after a conversation to capture what should be remembered. |
| kind | sop |
Extract durable learnings and user preferences from a conversation that will remain useful across future sessions. This is the extraction phase of memory management - run this after conversations to capture what matters.
When to use:
cleanup-memory (which organizes existing memories)Difference from cleanup-memory:
extract-memory = "What should I remember from this conversation?" (captures new)cleanup-memory = "Clean up my existing memories" (organizes old)Scan the conversation and classify each substantive exchange:
Extractable:
Not extractable:
Compare candidates against existing memories to avoid duplicates.
Write concise, actionable memory entries (under 200 characters).
Good: "Use printf '%s' instead of echo for piping to jq — echo adds trailing newline" Bad: "User prefers better approaches"
Assign type and category:
{
"learnings": [
{"text": "concise, actionable learning statement"}
],
"preferences": [
{"category": "Communication|Code|Tools|Workflow|General", "text": "concise preference statement"}
]
}
Good extraction (decision):
{"learnings": [{"text": "Rho tmux config at ~/.rho/tmux.conf is now the active ~/.tmux.conf"}]}
Good extraction (preference):
{"preferences": [{"category": "Communication", "text": "X post voice: understated, self-aware, dry"}]}
Correct output (nothing to extract):
{"learnings": [], "preferences": []}
After extracting memories, consider running cleanup-memory periodically to organize and prune your brain storage.