reflect

Analyzes a knowledge progression's documents and updates its metadata and repository accordingly.

9|5|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/theaichimera/claude-code-project-intelligence --skill reflect-theaichimera
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reflect
Source: https://github.com/theaichimera/claude-code-project-intelligence/tree/main/skills/reflect
Command: npx skills add https://github.com/theaichimera/claude-code-project-intelligence --skill reflect-theaichimera

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Reflect skill analyzes all documents within a knowledge progression and updates its metadata (current_position, corrections, and open_questions) to reflect the current understanding, corrections made, and remaining questions.

Core Features & Use Cases

  • Read every document in a progression in order to capture the full context and lineage of ideas.
  • Synthesize a current-position summary and compile a list of historical corrections.
  • Update progression.yaml and commit changes back to the knowledge repository for traceability.

Quick Start

Invoke the /reflect command to analyze a progression and update its current position, corrections, and open questions.

Frequently Asked Questions about reflect

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

FAQPage Schema
How do I synthesize the current state of a knowledge progression from its documents?

To synthesize a knowledge progression, the reflect skill analyzes all documents in order and updates progression.yaml with the current_position, historical corrections, and remaining open_questions to capture the full lineage of ideas.

How do I track open questions and corrections across a document repository?

You can track open questions and corrections by analyzing every document in a progression, compiling a synthesis of the current position, and committing the updated metadata back to the local knowledge repository for traceability.

What is the best way to update progression.yaml metadata based on document analysis?

Updating progression.yaml metadata is done by reading all documents in a knowledge progression, generating a synthesis of the current understanding and corrections via an API, and committing the changes directly to the repository.

Do I need a local knowledge repository to analyze and update progression metadata?

Yes, you need access to a local knowledge repository because the reflect skill reads documents from the progression, calls an API to generate the synthesis, and commits the updated metadata directly back to the repository.

Can I commit traceable updates to open questions and corrections in a knowledge repository?

Yes, traceable updates are committed directly to the knowledge repository after the analysis reads all progression documents and synthesizes the current position, corrections, and open questions into the metadata file.