Analyze cross-session learning data to detect stalls, regressions, and goal drift.
npx skills add https://github.com/hartphoenix/weft --skill progress-review
Please help me install this Agent Skill. Skill: progress-review Source: https://github.com/hartphoenix/weft/tree/main/.claude/skills/progress-review Command: npx skills add https://github.com/hartphoenix/weft --skill progress-review
This Skill helps learners identify their progress patterns over multiple sessions, uncovering stalls, regressions, and goal drift to facilitate targeted improvements.
Use the progress-review skill to analyze recent learning sessions and receive a report on your progress patterns and recommended actions.
High-intent search queries and answers about installing and using this skill.
Cross-session learning analysis reviews accumulated session logs, concepts, and goals to detect stalls, regressions, and goal drift. It identifies specific progress issues and proposes targeted updates to your learning states and educational files.
Cross-session pattern analysis examines session logs, concepts, arcs, and goals across multiple meetings to identify progress patterns. It detects issues like stalls and goal drift, then generates structured feedback with actionable suggestions for continuous learner development.
Review learning progress by analyzing recent session logs to identify goal drift and progress patterns. This provides structured feedback with actionable suggestions to update your learning strategies, arcs, and content progression.
Yes, analyzing session logs detects arc readiness and goal drift. The review process proposes structured updates to your learning states, arcs, and related files to facilitate targeted improvements and continuous growth.
You need cross-session analysis when accumulated learning data shows inconsistent progress. It identifies stalls, regressions, and goal drift across multiple sessions, enabling tailored feedback and targeted updates to your learning strategies.
dejavoo21Store session memory and long-term facts for AI agents via AgentDB.
inbharataiAssess user skills and generate personalized learning roadmaps with milestones.
vkhangphamAutomates the comprehensive closure of TCF study sessions.
hartphoenixAnalyze learning session transcripts to identify concepts and log outcomes.
