# Rockywuest Bookend Skill Bookend

> Bookend — Anti-Context-Loss System

- Skill: `tomevault-io/rockywuest-bookend-skill-bookend` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/rockywuest-bookend-skill-bookend`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/rockywuest-bookend-skill-bookend/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/rockywuest-bookend-skill-bookend

---


# Bookend — Anti-Context-Loss System

Never lose context again. Bookend gives your agent a structured memory system with morning briefings, checkpoints, and end-of-day routines.

## The Problem

Your agent forgets everything when context compacts. You say "do point 5" and it has no idea what you mean.

## The Solution

Bookend creates a `state/current.md` that survives any compaction. Your agent reads it on startup and always knows what's going on.

## Features

- **Morning Briefing** — Agent wakes up, reads state, checks emails, briefs you
- **Auto-Checkpoints** — Saves progress every 30 min and after every task
- **End of Day** — Finalizes state, updates daily memory
- **Nightly Builds** — Agent works on a backlog while you sleep
- **Survives Compaction** — `state/current.md` is the single source of truth

## Setup

Create the following files in the user's workspace:

1. `state/current.md` — Live state file with sections: Active Threads, Recent Context, Pending Tasks, Notes
2. `state/ROUTINES.md` — Morning/checkpoint/EOD routines
3. `state/nightly-backlog.md` — Tasks for overnight builds
4. `memory/` directory — For daily memory files
5. `MEMORY.md` — Long-term curated memory
6. Update `AGENTS.md` with the bookend checkpoint rules

## How It Works

### Morning (first heartbeat after 07:00)

1. Read `state/current.md`
2. Check yesterday's memory file
3. Scan emails for urgent items
4. Send brief: Top 3 priorities, new emails, next appointment

### During the Day (every ~30 min)

1. Update `state/current.md` with current topics
2. Append to `memory/YYYY-MM-DD.md`
3. If context is getting full, checkpoint NOW

### End of Day

1. Finalize `state/current.md`
2. Close daily memory file
3. Review if anything belongs in long-term memory

### Overnight (optional cron at 23:00)

1. Read `state/nightly-backlog.md`
2. Work on top item
3. Document in `memory/nightly-builds.md`
4. Don't disturb the human

## Why This Works

The key insight: your agent needs a "current state" file that's always up to date. When compaction happens, the agent reads this file and picks up exactly where it left off.

- **Explicit state** — No "did we discuss this?" guessing
- **Daily files** — Easy to review, grep, reference
- **Curated memory** — Long-term file stays relevant (not just logs)
- **Checkpoint discipline** — Survive context compaction

---
> Converted and distributed by [TomeVault](https://tomevault.io/claim/rockywuest) — claim your Tome and manage your conversions.
<!-- tomevault:4.0:skill_md:2026-04-11 -->