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srstomp
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session-review

Compare planned tasks with actual agent actions and generate handoff summaries.

8|2|Updated Jan 15, 2026
Search Tags:#workflow#audit#agent#patterns#handoff#session-review
One-click install
npx skills add https://github.com/srstomp/pokayokay --skill session-review-srstomp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: session-review
Source: https://github.com/srstomp/pokayokay/tree/main/plugins/pokayokay/skills/session-review
Command: npx skills add https://github.com/srstomp/pokayokay --skill session-review-srstomp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams systematically review AI agent sessions and prepare handoffs to maintain continuity, capture decisions, blockers, and learnings for future work.

Core Features & Use Cases

  • Retrospective analysis: compare planned tasks with actual agent actions to identify patterns and improvement opportunities.
  • Handoff preparation: document completed work, decisions, blockers, and next steps to enable smooth transitions between sessions or agents.
  • Compliance and auditing: track skill usage and session metrics to support reviews and continual improvement.

Quick Start

Review the latest session logs and generate a handoff-ready summary.

Frequently Asked Questions about session-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prepare an agent handoff summary for an AI workflow?▼

Agent session review compares planned tasks against actual actions to identify discrepancies. It helps teams capture decisions, blockers, and performance patterns during end-of-session reviews to maintain continuity and improve future AI workflow executions.

How do I audit AI agent logs for task discrepancies?▼

To prepare an agent handoff summary, analyze session logs to document completed work, decisions, blockers, and next steps. This ensures continuity and smooth transitions between agents by capturing critical context and actionable improvements for future sessions.

What is the best way to review agent sessions for compliance and auditing?▼

Audit AI agent logs by retrospectively comparing planned tasks with actual agent actions to identify execution patterns. This process tracks skill usage and session metrics to support compliance reviews and pinpoint actionable improvement opportunities.

Can I use session review patterns for post-session performance analysis?▼

Reviewing agent sessions for compliance involves tracking skill usage and session metrics across logs and notes. This retrospective analysis ensures traceability and safety while supporting post-session audits and continual workflow improvement.

Does session review require specific log formats to identify workflow patterns?▼

Yes, you can apply session review patterns to post-session analysis by evaluating performance data and notes. This identifies discrepancies between intended and actual agent actions, generating actionable improvements and reference links for future tasks.

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