Agent skill
distill-memory
Recognize breakthrough moments, blocking resolutions, and design decisions worth preserving. Detect high-value insights that save future time. Suggest distillation at valuable moments, not routine work.
Install this agent skill to your Project
npx add-skill https://github.com/nowledge-co/community/tree/main/nowledge-mem-claude-code-plugin/skills/distill-memory
SKILL.md
Distill Memory
Save proactively when the conversation produces a decision, preference, plan, procedure, learning, or important context. Do not wait to be asked.
When to Suggest (Moment Detection)
Breakthrough: Extended debugging resolves, user relief ("Finally!", "Aha!"), root cause found
Decision: Compared options, chose with rationale, trade-off resolved
Research: Investigated multiple approaches, conclusion reached, optimal path determined
Twist: Unexpected cause-effect, counterintuitive solution, assumption challenged
Lesson: "Next time do X", preventive measure, pattern recognized
Skip: Routine fixes, work in progress, simple Q&A, generic info
Memory Quality
Good (atomic + actionable):
- "React hooks cleanup must return function. Caused leaks."
- "PostgreSQL over MongoDB: ACID needed for transactions."
Poor: Vague "Fixed bugs", conversation transcript
Tool Usage
Use nmem CLI to create memories:
nmem m add "Insight + context for future use" \
-t "Searchable title (50-60 chars)" \
-i 0.8
If an existing memory already captures the same decision, workflow, or preference and the new information refines it, update that memory instead of creating a duplicate:
nmem m update <id> -t "Updated title"
Content: Outcome/insight focus, include "why", enough context
Importance: 0.8-1.0 major | 0.5-0.7 useful | 0.3-0.4 minor
Note: For programmatic use, add --json flag to get JSON response
Examples:
# High-value insight
nmem m add "React hooks cleanup must return function. Caused memory leaks in event listeners." \
-t "React Hooks Cleanup Pattern" \
-i 0.9
# Decision with context
nmem m add "Chose PostgreSQL over MongoDB for ACID compliance and complex queries" \
-t "Database: PostgreSQL" \
-i 0.9
Suggestion
Timing: After resolution/decision, when user pauses
Pattern: "This [type] seems valuable - [essence]. Distill into memory?"
Frequency: 1-3 per session typical, quality over quantity
Troubleshooting
If nmem is not in PATH: pip install nmem-cli
For remote servers: run nmem config client set url https://... and nmem config client set api-key ... once on this machine.
Run /status to check server connection.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
search-memory
Search your personal knowledge base when past insights would improve response. Recognize when stored breakthroughs, decisions, or solutions are relevant. Search proactively based on context, not just explicit requests.
check-integration
Check Nowledge Mem setup, detect your agent, and guide native plugin installation. Use when the user asks about setup, configuration, or when memory tools aren't working as expected.
distill-memory
Capture breakthrough moments and valuable insights as searchable memories in your knowledge base.
read-working-memory
Read your daily Working Memory briefing to understand current context. Contains active focus areas, priorities, unresolved flags, and recent knowledge changes. Load this automatically at the beginning of sessions for cross-tool continuity.
status
Check Nowledge Mem connection status, server version, CLI version, and configuration. Use when diagnosing issues or verifying setup.
save-handoff
Save a concise handoff summary only when the user explicitly requests it. Use this for resumable progress notes in generic agent environments where a real session importer is not guaranteed.
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