Agent skill

Auto Dream

Background memory consolidation — overnight review, merge, and injection payload for memory files.

MITAuto-check: notesProductivity & Automation

Install Auto Dream

skills CLI

$ npx skills add notque/vexjoy-agent --skill auto-dream -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install notque/vexjoy-agent auto-dream --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/meta/auto-dream .claude/skills/auto-dream && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "auto-dream" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/meta/auto-dream into .claude/skills/auto-dream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-dream", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/notque/vexjoy-agent/tree/main/skills/meta/auto-dream

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add notque/vexjoy-agent --skill auto-dream -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install notque/vexjoy-agent auto-dream --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/meta/auto-dream .agents/skills/auto-dream && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "auto-dream" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/meta/auto-dream into .agents/skills/auto-dream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-dream", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add notque/vexjoy-agent --skill auto-dream -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install notque/vexjoy-agent auto-dream --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/meta/auto-dream .cursor/skills/auto-dream && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "auto-dream" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/meta/auto-dream into .cursor/skills/auto-dream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-dream", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/notque/vexjoy-agent.git --path skills/meta/auto-dream

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add notque/vexjoy-agent --skill auto-dream -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install notque/vexjoy-agent auto-dream --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/meta/auto-dream .gemini/skills/auto-dream && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "auto-dream" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/meta/auto-dream into .gemini/skills/auto-dream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-dream", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install notque/vexjoy-agent auto-dream

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add notque/vexjoy-agent --skill auto-dream -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/meta/auto-dream .github/skills/auto-dream && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "auto-dream" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/meta/auto-dream into .github/skills/auto-dream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-dream", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add notque/vexjoy-agent --skill auto-dream -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install notque/vexjoy-agent auto-dream --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/meta/auto-dream .opencode/skills/auto-dream && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "auto-dream" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/meta/auto-dream into .opencode/skills/auto-dream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-dream", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: auto-dream
GitHub stars: 438
Token cost: ~1.4k tokens
SKILL.md length: 494 words
Files: 7 (incl. references)
Skills in repo: 61
Repo updated: Oct 3, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Background memory consolidation — overnight review, merge, and injection payload for memory files.

Works in 6 steps: SCAN — Read all memory files and the… → ANALYZE — Identify stale, duplicate,… → CONSOLIDATE — Apply consolidation… → …
Tasks that involve Scheduled and recurring tasks
SKILL.md covers When to invoke, Instructions, Phases and Safety constraints (always…, plus 5 more sections
Calls python3 and claude

What it does

Auto Dream is an agent skill from notque/vexjoy-agent. Background memory consolidation — overnight review, merge, and injection payload for memory files.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `dream-prompt.md`, `references/concurrency.md` and `references/dream-cycle-testing.md`).

It sits in Productivity & Automation, covering Scheduled and recurring tasks. The repository describes itself as: VexJoy AI Agent with Jev Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop. The licence is MIT.

When your agent uses it

Tasks that involve Scheduled and recurring tasks

Example prompts

“/auto-dream”

Requirements

Python 3
Pre-approved tools (allowed-tools): Read, Write, Edit, Glob, Grep, Bash

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

SCAN — Read all memory files and the recent git log. Write the scan document to ~/.claude/state/dream-scan-{date}.md.
ANALYZE — Identify stale, duplicate, conflicting memories and cross-session patterns. Write analysis to…
CONSOLIDATE — Apply consolidation actions (max 5 changes). Archive stale/merged files, update MEMORY.md atomically.
SYNTHESIZE — Create insight memories from cross-session patterns (max 2 new memories per cycle).
SELECT — Build the injection-ready payload for session start. Write to ~/.claude/state/dream-injection-{project-hash}.md.
REPORT — Write the dream summary to ~/.claude/state/last-dream.md.

What it can do on your machine

Read from SKILL.md and the folder at commit 5218674. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
- Read
- Write
- Edit
- Glob
- Grep
- Bash
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- python3
- claude
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Auto Dream loads about 1.4k tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 27 tokens; SKILL.md has 494 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~27
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~15k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
```
allowed-tools: Read, Write, Edit, Glob, Grep, Bash
```

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from notque/vexjoy-agent at commit 5218674, republished under its MIT licence (© notque). 494 words, ~1,407 tokens.

Download SKILL.mdSave it as .claude/skills/auto-dream/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.

name: auto-dream
description: Background memory consolidation — overnight review, merge, and injection payload for memory files.
allowed-tools: Read, Write, Edit, Glob, Grep, Bash
user-invocable: true
command: dream
context: fork
routing.triggers: dream, consolidate memories, clean up memories, memory maintenance, memory consolidation, deduplicate memories
routing.category: meta-tooling

Background memory consolidation cycle. Scans memory files, finds stale, duplicate, and conflicting entries, consolidates them, synthesizes cross-session insights, builds an injection-ready payload for the next session start, and writes a dated dream report.

When to invoke

User says "run dream", "consolidate memories", "clean up memories", "memory maintenance", "deduplicate memories"
Cron job at 2 AM nightly via wrapper script: scripts/auto-dream-cron.sh --execute
Manual trigger for testing: ./scripts/auto-dream-cron.sh (dry-run by default)

Instructions

When invoked interactively (not via cron), read skills/meta/auto-dream/dream-prompt.md and execute its phases directly. The prompt is self-contained -- it describes the full cycle including safety constraints, file paths, and output formats.

For cron invocation: the dream prompt is passed directly to claude -p and runs as a standalone headless session with no CLAUDE.md, no hooks, no project context. All instructions are embedded in the prompt.

Phases

SCAN — Read all memory files and the recent git log. Write the scan document to ~/.claude/state/dream-scan-{date}.md.
ANALYZE — Identify stale, duplicate, conflicting memories and cross-session patterns. Write analysis to ~/.claude/state/dream-analysis-{date}.md.
CONSOLIDATE — Apply consolidation actions (max 5 changes). Archive stale/merged files, update MEMORY.md atomically.
SYNTHESIZE — Create insight memories from cross-session patterns (max 2 new memories per cycle).
SELECT — Build the injection-ready payload for session start. Write to ~/.claude/state/dream-injection-{project-hash}.md.
REPORT — Write the dream summary to ~/.claude/state/last-dream.md.

Safety constraints (always enforced)

Never delete files — archive to memory/archive/, never rm
Write the REPORT before executing any CONSOLIDATE filesystem operations
Maximum 5 memory changes per cycle — excess items deferred to next cycle
Flag conflicts for human review, never auto-resolve
Preserve YAML frontmatter when merging; use merged_from field for provenance
Memory files are the only write target. Knowledge reaches an agent or skill file through a reviewed human edit, never through this cycle.
In dry-run mode (the default), CONSOLIDATE and SYNTHESIZE describe proposed changes only — no filesystem writes. The wrapper script sets DREAM_DRY_RUN_MODE=yes, substituted into the prompt at runtime.

Show full SKILL.md (182 more words)Show less

Testing

bash

# Dry run (read-only, no filesystem changes — dry-run is the default)
./scripts/auto-dream-cron.sh

# Full run (execute consolidation)
./scripts/auto-dream-cron.sh --execute

# Check output
cat ~/.claude/state/last-dream.md

# Verify cron registration
python3 ~/.claude/scripts/crontab-manager.py list

Cost estimate

~0.09 USD per nightly run with 50 memory files (~20-30K input tokens at Sonnet pricing). ~33 USD/year for automated overnight operation. Budget capped at 3.00 USD/run via wrapper script.

Cron setup

Use crontab-manager.py (not raw crontab -e) to install. The wrapper script handles PATH, lockfile, logging, budget cap, and dry-run/execute toggle.

bash

# Preview the cron entry
python3 ~/.claude/scripts/crontab-manager.py add \
  --tag "auto-dream" \
  --schedule "7 2 * * *" \
  --command "/home/feedgen/vexjoy-agent/scripts/auto-dream-cron.sh --execute >> /home/feedgen/vexjoy-agent/cron-logs/auto-dream/cron.log 2>&1" \
  --dry-run

# Install (after dry-run testing passes)
python3 ~/.claude/scripts/crontab-manager.py add \
  --tag "auto-dream" \
  --schedule "7 2 * * *" \
  --command "/home/feedgen/vexjoy-agent/scripts/auto-dream-cron.sh --execute >> /home/feedgen/vexjoy-agent/cron-logs/auto-dream/cron.log 2>&1"

# Verify
python3 ~/.claude/scripts/crontab-manager.py verify --tag auto-dream

Note: schedule uses 2:07 AM (off-minute) per cron best practice — avoids load spikes from jobs firing at :00.

Wrapper script details

scripts/auto-dream-cron.sh follows the established headless cron pattern (see skills/content/reddit-moderate/scripts/reddit-automod-cron.sh):

flock lockfile prevents concurrent runs
--permission-mode auto (never --dangerously-skip-permissions)
--max-budget-usd 3.00 caps spend per run
--no-session-persistence for clean headless operation
envsubst templates dream-prompt.md with project-specific paths at runtime
tee to timestamped per-run log file
Dry-run by default, --execute for live runs
Exit code propagation via PIPESTATUS[0]

Deep References

Load when the task requires detailed guidance beyond the phases above.

Signal	Reference
Failed cron run, wrapper script setup, budget cap	`references/headless-cron-patterns.md`
Memory file writes, YAML frontmatter, staleness, merging	`references/memory-file-operations.md`
Dry-run validation, output file verification	`references/dream-cycle-testing.md`
Cron log interpretation, rotation, phase markers	`references/logging-patterns.md`
Concurrent runs, lockfile, partial write recovery	`references/concurrency.md`

Files

SKILL.md and 6 other files (references) in skills/meta/auto-dream of notque/vexjoy-agent.

SKILL.md
dream-prompt.md
references/concurrency.md
references/dream-cycle-testing.md
references/headless-cron-patterns.md
references/logging-patterns.md
references/memory-file-operations.md

Open the folder on GitHubat commit 5218674

Compare with similar skills

Auto Dream next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Auto Dream compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Auto Dream this skillnotque/vexjoy-agent	438	—	~1.4k	Automated safety check: Notes	MIT	5 days ago
ScheduleTinyAGI/tinyagi	3.6k	—	~1.4k	Automated safety check: Pass	MIT	6 mo ago
Send User MessageTinyAGI/tinyagi	3.6k	—	~829	Automated safety check: Pass	MIT	6 mo ago
Cron Opsczl9707/build-your-own-openclaw	1.9k	—	~593	Automated safety check: Pass	MIT	3 mo ago
X Bookmarkssharbelxyz/x-bookmarks	289	—	~2k	Automated safety check: Notes	None	7 mo ago
Jobsphysiclaw/PhysiClaw	386	1 repos	~1.1k	Automated safety check: Pass	MIT	3 days ago

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Questions about Auto Dream

What does Auto Dream do?

Background memory consolidation — overnight review, merge, and injection payload for memory files. Auto Dream is an agent skill from notque/vexjoy-agent. Background memory consolidation — overnight review, merge, and injection payload for memory files.

When should I use Auto Dream?

Auto Dream fits situations like: tasks that involve Scheduled and recurring tasks.

How do I install Auto Dream in Claude Code?

Run `npx skills add notque/vexjoy-agent --skill auto-dream -a claude-code`. Or copy the skill folder (skills/meta/auto-dream in notque/vexjoy-agent) into .claude/skills/auto-dream in your project. Claude Code loads it when a task matches its description.

How do I install Auto Dream in Codex?

Run `npx skills add notque/vexjoy-agent --skill auto-dream -a codex`. Or copy the skill folder (skills/meta/auto-dream in notque/vexjoy-agent) into .agents/skills/auto-dream in your project. Codex loads it when a task matches its description.

Can I use Auto Dream in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add notque/vexjoy-agent --skill auto-dream -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/auto-dream, .gemini/skills/auto-dream, .github/skills/auto-dream and .opencode/skills/auto-dream in your project.

What does Auto Dream need to run?

Going by SKILL.md and its folder, Auto Dream needs the command-line tools its instructions call (python3 and claude). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Glob, Grep, Bash.

Does Auto Dream access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Auto Dream safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Auto Dream use?

Auto Dream is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Auto Dream use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 13k tokens, read only when the agent opens those files.

What are the alternatives to Auto Dream?

Skills that share tags, products or a category with Auto Dream: Schedule (TinyAGI/tinyagi, 3.6k stars), Send User Message (TinyAGI/tinyagi, 3.6k stars), Cron Ops (czl9707/build-your-own-openclaw, 1.9k stars) and X Bookmarks (sharbelxyz/x-bookmarks, 289 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Auto Dream?

notque (a GitHub user) maintains it in notque/vexjoy-agent, which has 438 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on October 3, 2026.

Source: notque/vexjoy-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Auto Dream

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

When to invoke

Instructions

Phases

Safety constraints (always enforced)

Testing

Cost estimate

Cron setup

Wrapper script details

Deep References

Files

Compare with similar skills

Similar skills

More from notque/vexjoy-agent

Related

Questions about Auto Dream