Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

Back to skills

Grim Mem Dream Sequence

ASecurity

Dream Memory Sequence: Run a periodic memory-consolidation review. Synthesize recent work and chat history, propose durable memory candidates, flag stale or duplicate memory for cleanup, and surface missing-context questions. Never edits memory without user confirmation.

25 stars
0 votes
0 copies
0 views
Added 9/22/2026
ai-agentsgo

Works with

cli

Security Analysis

A100/100

Scanned 9/22/2026

Install to Claude Code

$npx -y skills add MindGoblinStudios/grim-tome --skill grim-mem-dream-sequence --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Grim Mem Dream Sequence?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Grim Mem Dream Sequence
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/mindgoblinstudios-grim-mem-dream-sequence-grim-tome/badge)](https://www.skillsdirectory.com/skills/mindgoblinstudios-grim-mem-dream-sequence-grim-tome)

More formats (shields.io, HTML) on the badges page.

Download Zip
Files
SKILL.md
---
name: grim-mem-dream-sequence
description: "Dream Memory Sequence: Run a periodic memory-consolidation review. Synthesize recent work and chat history, propose durable memory candidates, flag stale or duplicate memory for cleanup, and surface missing-context questions. Never edits memory without user confirmation."
---

# Dream Memory Sequence

## Purpose

Consolidate and improve the memory system, the way sleep consolidates a day's experiences. Run this weekly, or after an intense stretch of work.

Memory flows in one direction: `memory/MEMORY.md` is the fast-capture surface where corrections and preferences land mid-session, and the dream sequence is the consolidation pass. Durable items that have proven themselves get promoted out of memory into the right `docs/` file (or `AGENTS.md`, per `grim:dev:autodocs`), then pruned from memory. Memory stays small; docs accumulate the distilled knowledge.

## Inputs

Review before summarizing:

- `memory/MEMORY.md` (and the project's memory system docs, if any)
- `docs/README.md` and any recently changed docs
- Recent chat or session history from the last 7 to 14 days, when the harness makes it available

## Consolidation Pass

- Revisit the previous consolidation candidates using existing run notes. Check which were applied, superseded, declined, or still need a decision before proposing them again.
- Distill what changed in understanding: a durable lesson, a corrected belief, the intent behind a decision, or missing context that matters next time.
- Check candidates against their canonical home for contradictions and duplication. Preserve sources and uncertainty where they matter, and make the useful context easy to retrieve.
- Reuse relevant evidence and refresh changed or consequential facts. Keep broader cleanup and system experiments with their existing owner unless they affect memory's accuracy or usefulness.
- Keep declined ideas retired unless the user reopens them. Do not invent candidates to fill a report; stay quiet when there is no meaningful update or action.

## Report

Return a report with:

- A synthesis of what changed since the previous pass, highlighting the most important things to remember
- Durable memory candidates, to be added to memory
- Promotion candidates: memory entries that have matured into doc material, with the target `docs/` file for each (prune from memory once promoted)
- Stale, duplicate, or low-signal memory cleanup suggestions
- The top 3 missing-context questions that would help the system better understand the user's life, goals, and projects
- Suggested next steps

## Rules

- Do not silently edit any docs, skills, memory files, commits, or external systems until the user confirms.
- Distill, don't transcribe: one bullet per durable fact. Preserve intent and distinguish observations from decisions.
- Prefer correcting an existing memory entry over adding a near-duplicate.

Attribution

MindGoblinStudiosMindGoblinStudios
View sourceMore from MindGoblinStudios →
SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1066601 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

686011 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

651 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →