How is this different from a standard TODO list?

Traditional TODOs focus solely on tasks; Momentum Anchor captures your 'RAM contents'—the mental models, energy state, and unarticulated questions held in your working memory.

Where are the anchors stored?

The skill creates human-readable, date-stamped .anchor markdown files within a dedicated directory in your project, ensuring the context lives right alongside your code.

Does Claude automatically read my old anchors?

No, the skill follows a strict 'write-only' guardrail. It will only read historical anchors if you explicitly grant permission, ensuring you remain in control of your workflow.

How does this help with neurodivergent development workflows?

It acknowledges that working memory can be fragile during context shifts. By offloading the 'felt sense' of the work, it reduces the anxiety and cognitive load required to restart a complex task.

When should I create an anchor?

Use it at the end of a work session, when you sense your focus shifting, or immediately upon being interrupted during a deep work or hyperfocus state.

Momentum Anchor

Name: Momentum Anchor
Author: Kingly-Agency

byKingly-Agency

Productividad y Flujo de Trabajo

Captures full cognitive states and energy signatures during focus breaks to ensure seamless project resumption.

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The Momentum Anchor skill is designed to solve the 'context loss' problem that occurs when deep focus or hyperfocus is interrupted. Unlike traditional task lists that only record what to do next, this skill captures the how and why of your current mental state, including unarticulated questions, mental models, and energy levels. It generates structured resumption points with specific paths for returning with low or high energy, ensuring that developers can pick up exactly where they left off without the cognitive overhead of rebuilding their internal workspace.

Características Principales

Captures 'RAM contents' including mental models and unspoken assumptions
0 GitHub stars
Creates multi-path re-entry points tailored to future energy levels
Generates standardized .anchor markdown files for context preservation
Records emotional and cognitive energy signatures alongside technical tasks
Facilitates clean disengagement to prevent burnout and mental residue

Casos de Uso

Capturing insights and 'next steps' at the end of a long development session
Managing context switching between complex projects while maintaining high-fidelity mental states
Preserving context when interrupted by meetings or external distractions during deep work

Acerca de

Características Principales

Captures 'RAM contents' including mental models and unspoken assumptions
0 GitHub stars
Creates multi-path re-entry points tailored to future energy levels
Generates standardized .anchor markdown files for context preservation
Records emotional and cognitive energy signatures alongside technical tasks
Facilitates clean disengagement to prevent burnout and mental residue

Casos de Uso

Capturing insights and 'next steps' at the end of a long development session
Managing context switching between complex projects while maintaining high-fidelity mental states
Preserving context when interrupted by meetings or external distractions during deep work