Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Consolidate recent logs, sessions, and existing memory files into durable topic memories, normalize dates, prune stale entries, and keep MEMORY.md short enough for prompt use.
Install Dream Memory
$ npx skills add LearnPrompt/cc-harness-skills --skill dream-memory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LearnPrompt/cc-harness-skills dream-memory --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LearnPrompt/cc-harness-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dream-memory .claude/skills/dream-memory && rm -rf skills-srcUse ~/.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/
Install the "dream-memory" agent skill from https://github.com/LearnPrompt/cc-harness-skills/tree/main/skills/dream-memory into .claude/skills/dream-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dream-memory", 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 install https://github.com/LearnPrompt/cc-harness-skills/tree/main/skills/dream-memoryType 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.
$ npx skills add LearnPrompt/cc-harness-skills --skill dream-memory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LearnPrompt/cc-harness-skills dream-memory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LearnPrompt/cc-harness-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dream-memory .agents/skills/dream-memory && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dream-memory" agent skill from https://github.com/LearnPrompt/cc-harness-skills/tree/main/skills/dream-memory into .agents/skills/dream-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dream-memory", 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.
$ npx skills add LearnPrompt/cc-harness-skills --skill dream-memory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LearnPrompt/cc-harness-skills dream-memory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LearnPrompt/cc-harness-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dream-memory .cursor/skills/dream-memory && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dream-memory" agent skill from https://github.com/LearnPrompt/cc-harness-skills/tree/main/skills/dream-memory into .cursor/skills/dream-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dream-memory", 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 https://github.com/LearnPrompt/cc-harness-skills.git --path skills/dream-memory--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LearnPrompt/cc-harness-skills --skill dream-memory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LearnPrompt/cc-harness-skills dream-memory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LearnPrompt/cc-harness-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dream-memory .gemini/skills/dream-memory && rm -rf skills-srcUse ~/.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/
Install the "dream-memory" agent skill from https://github.com/LearnPrompt/cc-harness-skills/tree/main/skills/dream-memory into .gemini/skills/dream-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dream-memory", 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.
$ gh skill install LearnPrompt/cc-harness-skills dream-memoryInstalls 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).
$ npx skills add LearnPrompt/cc-harness-skills --skill dream-memory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LearnPrompt/cc-harness-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dream-memory .github/skills/dream-memory && rm -rf skills-srcUse ~/.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/
Install the "dream-memory" agent skill from https://github.com/LearnPrompt/cc-harness-skills/tree/main/skills/dream-memory into .github/skills/dream-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dream-memory", 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.
$ npx skills add LearnPrompt/cc-harness-skills --skill dream-memory -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LearnPrompt/cc-harness-skills dream-memory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LearnPrompt/cc-harness-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dream-memory .opencode/skills/dream-memory && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dream-memory" agent skill from https://github.com/LearnPrompt/cc-harness-skills/tree/main/skills/dream-memory into .opencode/skills/dream-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dream-memory", 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
dream-memory- GitHub stars
- 236
- Token cost
- ~477 tokens
- SKILL.md length
- 197 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- MIT
At a glance
Consolidate recent logs, sessions, and existing memory files into durable topic memories, normalize dates, prune stale entries, and keep MEMORY.md short enough for prompt use.
- Works in 5 steps: Inspect MEMORY.md, topic files, and… → Identify durable facts worth keeping. → Merge into topic files instead of… → …
- AI & LLM Engineering work in your project
- SKILL.md covers Use It For, Avoid It For, Quick Start and Workflow, plus 2 more sections
- Runs Python scripts from its folder; calls python3
What it does
Dream Memory is an agent skill from LearnPrompt/cc-harness-skills. Consolidate recent logs, sessions, and existing memory files into durable topic memories, normalize dates, prune stale entries, and keep MEMORY.md short enough for prompt use.
Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `README.md`, `references/prompt-template.md` and `references/source-notes.md`).
It sits in AI & LLM Engineering. The repository describes itself as: Portable CC-inspired skills for memory, verification, multi-agent coordination, context compression, and proactive coding-agent workflows. The licence is MIT.
When your agent uses it
- AI & LLM Engineering work in your project
Example prompts
- “/dream-memory”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Inspect MEMORY.md, topic files, and recent logs or transcripts.
- Identify durable facts worth keeping.
- Merge into topic files instead of creating near-duplicates.
- Remove stale or contradicted memory.
- Rewrite MEMORY.md as a concise index.
What it can do on your machine
Read from SKILL.md and the folder at commit 3899650. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Dream Memory loads about 477 tokens when it runs, and up to ~854 if it reads all its reference files. Until then it costs about 47 tokens; SKILL.md has 197 words of instructions outside code blocks.
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 passed
The automated check found no risky patterns in SKILL.md.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from LearnPrompt/cc-harness-skills at commit 3899650, republished under its MIT licence (© LearnPrompt). 197 words, ~477 tokens.
Download SKILL.mdSave it as
.claude/skills/dream-memory/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- dream-memory
- description
- Consolidate recent logs, sessions, and existing memory files into durable topic memories, normalize dates, prune stale entries, and keep MEMORY.md short enough for prompt use.
Dream Memory
Use this skill when you want a deliberate memory-consolidation pass instead of storing more raw notes.
This bundle is intentionally portable. It borrows the workflow shape from Claude Code's dream system, but it does not depend on Claude Code internals.
Use It For
- nightly or manual memory cleanup
- merging overlapping memory notes
- normalizing relative dates into absolute dates
- pruning stale or contradicted memories
- keeping
MEMORY.mdsmall and index-like
Avoid It For
- saving a single new memory from the current turn
- persisting code facts that should be re-read from source
- replacing plans, task boards, or issue trackers
Quick Start
Inspect a memory directory before running the consolidation prompt:
python3 {baseDir}/scripts/dream_memory.py --memory-root /path/to/memory --transcripts-dir /path/to/transcriptsThen use the portable prompt in references/prompt-template.md.
Workflow
- Inspect
MEMORY.md, topic files, and recent logs or transcripts. - Identify durable facts worth keeping.
- Merge into topic files instead of creating near-duplicates.
- Remove stale or contradicted memory.
- Rewrite
MEMORY.mdas a concise index.
Rules
MEMORY.mdis an index, not a content dump.- Prefer topic merges over new file creation.
- Convert relative dates to absolute dates.
- Do not store code-state facts that can drift.
Supporting Files
- Prompt template: references/prompt-template.md
- Source notes: references/source-notes.md
- Helper script:
python3 {baseDir}/scripts/dream_memory.py ...
© LearnPrompt, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts, references) in skills/dream-memory of LearnPrompt/cc-harness-skills.
- SKILL.md
- README.md
- references/prompt-template.md
- references/source-notes.md
- scripts/dream_memory.py
Open the folder on GitHubat commit 3899650
Compare with similar skills
Dream Memory 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dream Memory this skillLearnPrompt/cc-harness-skills | 236 | — | ~477 | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Planning With Filesjarrodwatts/claude-code-config | 1.1k | 5 repos | ~967 | Automated safety check: Pass | None | |
| Codebase Managementgiancarloerra/SocratiCode | 3.3k | 1 repos | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Context Compressionguanyang/open-agent-hub | 975 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Looperksimback/looper | 710 | — | ~2.7k | Automated safety check: Notes | MIT |
Similar skills
Planning With Files
jarrodwatts/claude-code-config
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
Codebase Management
giancarloerra/SocratiCode
Set up, index, and manage SocratiCode codebase indexing. An agent skill from giancarloerra/SocratiCode.
Context Compression
guanyang/open-agent-hub
This skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task optimization, or durable handoff summaries that preserve…
Looper
ksimback/looper
Scaffold a well-designed agent loop with best-practice coaching and a cross-model review council.
Ktx
Kaelio/ktx
Installs and configures ktx, the open-source context layer for data agents — runs ktx setup non-interactively with hidden CLI flags, configures database connections and embeddings, installs agent…
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Related
Categories
Questions about Dream Memory
What does Dream Memory do?
Consolidate recent logs, sessions, and existing memory files into durable topic memories, normalize dates, prune stale entries, and keep MEMORY.md short enough for prompt use. Dream Memory is an agent skill from LearnPrompt/cc-harness-skills.md short enough for prompt use.
When should I use Dream Memory?
Dream Memory fits situations like: AI & LLM Engineering work in your project.
How do I install Dream Memory in Claude Code?
Run `npx skills add LearnPrompt/cc-harness-skills --skill dream-memory -a claude-code`. Or copy the skill folder (skills/dream-memory in LearnPrompt/cc-harness-skills) into .claude/skills/dream-memory in your project. Claude Code loads it when a task matches its description.
How do I install Dream Memory in Codex?
Run `npx skills add LearnPrompt/cc-harness-skills --skill dream-memory -a codex`. Or copy the skill folder (skills/dream-memory in LearnPrompt/cc-harness-skills) into .agents/skills/dream-memory in your project. Codex loads it when a task matches its description.
Can I use Dream Memory 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 LearnPrompt/cc-harness-skills --skill dream-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dream-memory, .gemini/skills/dream-memory, .github/skills/dream-memory and .opencode/skills/dream-memory in your project.
What does Dream Memory need to run?
Going by SKILL.md and its folder, Dream Memory needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Dream Memory 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 Dream Memory safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Dream Memory use?
Dream Memory 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 Dream Memory use?
About 477 tokens (SKILL.md is roughly 1.9k 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 377 tokens, read only when the agent opens those files.
What are the alternatives to Dream Memory?
Skills that share tags, products or a category with Dream Memory: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Planning With Files (jarrodwatts/claude-code-config, 1.1k stars), Codebase Management (giancarloerra/SocratiCode, 3.3k stars) and Context Compression (guanyang/open-agent-hub, 975 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dream Memory?
LearnPrompt (a GitHub user) maintains it in LearnPrompt/cc-harness-skills, which has 236 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on July 10, 2026.
Source: LearnPrompt/cc-harness-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.