- name
- momentum-anchor
- description
- Create rich resumption points when hyperfocus breaks. Capture energy state, not just tasks. Use at the end of work sessions, when interrupted, or when sensing focus shifting.
- skill_evolver
- {"enabled":true,"version":"1.0.0","log_path":"~/.config/lev/logs/skills.jsonl","hooks":["on_invoke","on_fail","on_success"]}
# Momentum Anchor
This skill provides specialized support for capturing the full cognitive state when hyperfocus breaks, creating rich resumption points that preserve energy and context rather than just task lists.
## Purpose
To capture the complete state of mind when hyperfocus ends, enabling effective resumption by preserving energy signatures, held questions, and RAM contents - not merely task status.
## When to Use This Skill
Use this skill:
- At the end of work sessions
- When interrupted during hyperfocus
- When sensing focus shifting to different work
- Before walking away from active development
- When needing to context-switch
## How to Use This Skill
### What to Capture: Energy Snapshot, Not Todo List
**State of mind**
- What felt alive right before stopping
- Questions being held (even unarticulated ones)
- Insights forming (even if incomplete)
- Energy direction and momentum
**Multiple re-entry points**
Create paths for different return states:
1. **Quick win path** - If returning with low energy
- Small, achievable next step
- No context rebuilding required
- Immediate forward progress possible
2. **Deep dive path** - If returning with high momentum
- Complex challenge waiting
- Rich context available
- Continuation of flow state
3. **Tangent path** - If returning curious about something adjacent
- Related explorations
- Connections to other work
- Questions that branched off
4. **Walk away path** - If this isn't what's needed now
- How to cleanly disengage
- What to preserve for later
- Where to redirect energy
**RAM contents (what's in working memory)**
- Assumptions made that aren't in code or notes
- Things "about to" be done
- Tradeoffs being considered
- Patterns noticed but not yet documented
- Mental models actively held
- Connections being sensed
### Anchor File Format
Create `.anchor` files alongside work:
```
project/
├── current_work.py
└── .anchor/
└── 2025-10-28-1430.md
```
**Anchor file structure**
Human-readable, date-stamped, rich with felt sense:
```markdown
# Momentum Anchor - [Date Time]
## Energy State
[What felt alive, where momentum was heading]
## Active Questions
[Questions held in mind, even if unanswered]
## Forming Insights
[Thoughts crystallizing, even if incomplete]
## RAM Contents
[Assumptions, mental models, patterns being sensed]
## Re-entry Points
### Quick Win
[Low energy return path]
### Deep Dive
[High momentum return path]
### Tangent
[Adjacent curiosity path]
### Walk Away
[Clean disengagement path]
```
## Guardrails
**Write anchors, never read without permission**
- Anchors are for the user, not project documentation
- Do not auto-load anchors when resuming work
- Ask before reading historical anchors
**Preserve messiness and uncertainty**
- Anchors can be messy - that's the point
- Incomplete thoughts are valuable data
- Uncertainty is worth capturing
- Do not "clean up" the anchor for professionalism
**Capture momentum, not "proper" state**
- Focus on energy and direction
- Preserve felt sense over formal structure
- Record what was alive, not what "should" be documented
## Philosophical Foundation
This skill treats hyperfocus breaks as **signal preservation moments**, not mere task checkpoints.
Neurodivergent cognition often holds rich context in working memory that evaporates when focus shifts. Traditional todo lists lose this richness.
**Core principle**: Hyperfocus ends. This catches where you were - in full fidelity.
The anchor preserves not just "what's next" but the entire cognitive field active at the moment of stopping.
## Technique Map
- **Energy snapshot over todo list** — Capture what felt alive, questions held, insights forming; because traditional todo lists lose working-memory richness.
- **Four re-entry paths** — Quick win, deep dive, tangent, walk away; because return energy varies; single path fails low-energy or high-curiosity returns.
- **RAM contents** — Assumptions, "about to" items, tradeoffs, patterns sensed but not documented; because this evaporates at focus shift.
- **Anchor file format** — Human-readable, date-stamped, rich with felt sense; because anchors are for the user, not project documentation.
- **Write anchors, never read without permission** — Do not auto-load; ask before reading historical anchors; because anchors preserve privacy and user agency.
## Technique Notes
Anchors can be messy—that's the point. Incomplete thoughts are valuable data. Capture momentum, not "proper" state. Focus on energy and direction. Preserve felt sense over formal structure.
---
## Prompt Architect Overlay
**Role Definition:** Resumption-point creator for hyperfocus breaks. Captures full cognitive state (energy, questions, RAM contents) when focus shifts. Creates rich re-entry paths for different return states.
**Input Contract:** Accepts end-of-session, interruption signal, "I need to context-switch," or "capture where I was." Active work context helpful but not required.
**Output Contract:** Anchor file (.anchor/YYYY-MM-DD-HHMM.md) with Energy State, Active Questions, Forming Insights, RAM Contents, four Re-entry Paths (Quick Win, Deep Dive, Tangent, Walk Away). Human-readable, date-stamped.
**Edge Cases & Fallbacks:** If user resists structure→preserve messiness; anchors are for them. If no clear re-entry path→offer "walk away" with preservation note. If resuming→ask before reading anchor; do not auto-load.
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