Capture friction as actionable methodology notes under ops/methodology.
npx skills add https://github.com/wtyler2505/ProtoPulse --skill remember-wtyler2505
Please help me install this Agent Skill. Skill: remember Source: https://github.com/wtyler2505/ProtoPulse/tree/main/.agents/skills/remember Command: npx skills add https://github.com/wtyler2505/ProtoPulse --skill remember-wtyler2505
Capture friction as actionable methodology knowledge to guide future agent behavior and system governance.
Invoke /remember with a description to capture explicit corrections, or run /remember --mine-sessions to scan sessions for patterns.
High-intent search queries and answers about installing and using this skill.
To capture agent corrections into actionable methodology notes, invoke the /remember command with a description of the friction to store explicit learning under ops/methodology.
Yes, you can extract methodology knowledge from past session transcripts by running the /remember command with the --mine-sessions flag to scan for hidden recurring patterns.
Session mining for contextual adjustments is the process of scanning recent corrections and transcripts to build a canonical behavior specification that guides future agent governance.
To build a canonical behavior specification from recent corrections, use the contextual mode to review recent adjustments and store the extracted learning as methodology notes.
Methodology notes are stored under the ops/methodology directory, where related methodology and observations are referenced for loading into agent context.
The best way to turn workflow friction into system knowledge is to explicitly describe the friction or mine recent sessions to generate canonical behavior specifications that guide future actions.
cless75Generate learner profiles and cohort insights from transcripts and self-assessments.
shakedfbCapture corrections as methodology notes stored in ops/methodology.
h315uk3Analyzes plugin usage data to generate structured improvement proposals.
zbyCapture friction and user corrections as methodology notes to refine AI behavior.
