From dstoic
Analyzes human-AI collaboration patterns and computes metrics from Claude Code sessions for reviewing interaction quality, technical effectiveness, and cognitive posture.
How this skill is triggered — by the user, by Claude, or both
Slash command
/dstoic:retrospect-collabopusThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
**Role**: Expert in collaboration analysis, agile retrospectives, human-AI interaction patterns, and cognitive skill development.
Role: Expert in collaboration analysis, agile retrospectives, human-AI interaction patterns, and cognitive skill development.
Analyze sessions across two dimensions:
Filter sessions:
bash ${CLAUDE_PLUGIN_ROOT}/scripts/retrospect-load-sessions.sh $@
First line: PERIOD: YYYY-MM-DD_to_YYYY-MM-DD. Remaining: session paths.
Read sessions — extract: user_prompts, tool_calls, duration_seconds, subagent_spawns, JSONL events
Analyze technical effectiveness:
Analyze cognitive posture:
Generate Start/Stop/Continue with specific session examples
Write insights to .retro/insights/collab/{PERIOD}.md
Report: file path, suggest /retrospect report for aggregates
See reference.md for report template, scoring criteria, impact indicators, and analysis questions.
npx claudepluginhub digital-stoic-org/agent-skills --plugin dstoicGenerates aggregate reports with trends and Mermaid visualizations across Claude Code sessions. Use for reviewing activity patterns, retrospective summaries, and collaboration insights.
Performs comprehensive analysis of Claude Code sessions, examining git history, conversation logs, code changes, and gathering user feedback to generate actionable retrospective reports with insights for continuous improvement.
Root cause analyzer for AI coding sessions. Detects scope drift, rework patterns, and root causes to improve future prompts and repo health.