kspec-reflect

Automate end-of-session reflections and export insights to the planning backlog.

1|2|Updated Jan 16, 2026
One-click install
npx skills add https://github.com/lepahc/kynetic-spec --skill kspec-reflect
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kspec-reflect
Source: https://github.com/lepahc/kynetic-spec/tree/main/.agents/skills/kspec-reflect
Command: npx skills add https://github.com/lepahc/kynetic-spec --skill kspec-reflect

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

End-of-session reflection helps capture learnings, friction points, and actionable improvements to evolve the system and processes.

Core Features & Use Cases

  • Structured prompts to identify effective practices and friction points after a session.
  • Guided capture of improvements and ideas for process or tool changes.
  • Integration with the kspec flow to feed continuous improvement loops.

Quick Start

Run the kspec session reflect workflow to create a reflection entry for the current work session.

Frequently Asked Questions about kspec-reflect

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

FAQPage Schema
How do I capture learnings and friction points after a development session?

End-of-session reflection captures learnings and friction points by running structured prompts that identify effective practices and process bottlenecks. It creates a reflection entry to document what worked, what failed, and actionable improvements for future workflows.

What is the best way to automate post-mortems for AI-assisted development processes?

Automating post-mortems applies structured reflection workflows to interactive or automated sessions across AI-assisted development processes. It records structured items to continuously improve the system by identifying friction points and generating actionable improvement ideas without manual overhead.

How do I run a retrospective to feed continuous improvement loops?

Running a retrospective feeds continuous improvement loops by executing the reflect workflow to generate structured reflection entries. It supports optional loop and manual modes, allowing you to review captured learnings and integrate them directly into your planning backlog.

Can I export retrospective insights directly to a planning backlog?

Yes, retrospective insights export directly to the planning backlog for review. The reflection workflow records structured items from your sessions and feeds these actionable improvements and process change ideas into your downstream planning pipeline.

Does end-of-session reflection work with automated workflows or only manual modes?

End-of-session reflection works with both automated workflows and manual modes. It applies to interactive or automated sessions across AI-assisted development processes, supporting optional loop and manual modes to capture structured items flexibly.

When do I need structured reflection for process improvement?

Structured reflection for process improvement is needed after completing interactive or automated work sessions. It helps capture learnings, identify friction points, and document improvement ideas to evolve your system and workflows continuously.