capture-context

Captures session knowledge into a structured Plan File context section.

399|31|Updated Mar 11, 2026

Search Tags:#context #developer workflow #knowledge capture #session #resumability #plan file

Ready to run

npx skills add https://github.com/tobihagemann/turbo --skill capture-context

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: capture-context
Source: https://github.com/tobihagemann/turbo/tree/main/skills/capture-context
Command: npx skills add https://github.com/tobihagemann/turbo --skill capture-context

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures that crucial information and decisions made during a development session are systematically saved into the plan file, preventing knowledge loss when context is cleared.

Core Features & Use Cases

Contextual Knowledge Capture: Scans conversations for work state, codebase findings, decisions, requirements, and open questions.
Plan File Augmentation: Merges captured context into the active plan file, maintaining a structured and self-contained record.
Use Case: Before approving a complex plan and clearing the AI's context, use this skill to save all accumulated insights, ensuring the implementation phase can proceed smoothly without needing to re-discuss prior findings.

Quick Start

Use the capture-context skill to save the current session's knowledge into the plan file.

Frequently Asked Questions about capture-context

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

FAQPage Schema

How do I save AI session context before clearing the conversation history?▼

Saving AI session context involves capturing accumulated work state, codebase findings, and decisions into a structured section within a plan file. This ensures resumability and prevents knowledge loss when the conversation context is cleared.

What is the best way to maintain development session resumability across different implementation phases?▼

Maintaining development session resumability requires writing accumulated codebase findings, requirements, and open questions into a designated plan file. This creates a self-contained record that subsequent implementation phases can reference without needing to re-discuss prior findings.

How do I capture codebase findings and decisions into a plan file?▼

Capturing codebase findings and decisions into a plan file requires parsing conversation history to extract work state and open questions. The extracted insights are then merged into the active plan file, maintaining a structured record for future reference.

Does capturing session context require any external dependencies or specific environments?▼

Capturing session context does not require external dependencies or specific environment setups. The process operates by parsing conversation history and writing the extracted knowledge directly into a designated plan file to ensure decision coverage.

When should I use a knowledge capture process for my developer workflow?▼

You should use a knowledge capture process for your developer workflow before approving a complex plan and clearing the AI's context. This saves accumulated insights, ensuring the implementation phase can proceed smoothly without needing to re-discuss prior findings.

What information should be included in a structured session context for software engineering?▼

A structured session context for software engineering should include work state, codebase findings, decisions, requirements, and open questions. Capturing these elements into the plan file ensures complete decision coverage and resumability for subsequent implementation phases.