Dreaming

Dreaming is an AI Engineering skill for Claude Code, published by Signet-AI in signetai.

264 stars40 forkson Signet-AI/signetaiAdded 2026/09/02+1% in starsRepository updated 2026/09/02

agent-memoryai-memoryclaude-codecodexhermes-agenthermes-agent-pluginhermes-pluginoh-my-piopenclawopencodeopencode-pluginpi-coding-agentpi-extensionself-hosted

Install in seconds

Install Dreaming

Copy Dreaming into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/Signet-AI/signetai/tree/main/skills/dreaming ~/.claude/skills/dreaming

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Signet-AI/signetai.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/dreaming/SKILL.md in Signet-AI/signetai
Installs to: ~/.claude/skills/dreaming
Collection: One of 10 skills cataloged from this repository
Category: AI Engineering — 2631 skills

What Dreaming does

Dreaming maintains Signet's ontology and memory substrate from transcripts, memory artifacts, source artifacts, notes, summaries, and imported records. Use it when bulk evidence needs to be turned into entities, links, claims, and provenance-tracked maintenance output.

Dreaming is cataloged under AI Engineering on DirSkills. Dreaming comes from a repository tagged agent-memory, ai-memory, claude-code, codex and hermes-agent.

Documentation

README

Excerpt

Dreaming

Use this skill when an agent should wake up, read accumulated source evidence, and turn it into Signet ontology structure. The job is flexible bulk ingestion: transcripts, memory artifacts, source artifacts, notes, summaries, and imported records go in; the knowledge graph, scoped memories, and maintenance trail get better.

Dreaming maintains the graph by turning source and memory artifacts into entities, aspects, claim attributes, and links. Memory artifacts are evidence for attributes; the ontology control plane is the audited path that applies those attributes to the graph.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Dreaming

What else does Signet-AI publish alongside Dreaming?
Dreaming is one of 10 skills that DirSkills catalogs from Signet-AI/signetai, the repository it ships in. Its siblings there include Agents Md Sync, Dreaming Development and MemoryBench Integration. Each one is a separate skill with its own page in this directory, installs the same way Dreaming does, and is maintained by Signet-AI in that same repository. The rest of the collection is listed on the Signet-AI/signetai page.
How does Dreaming compare to other AI Engineering skills?
Dreaming ranks #2247 by stars among the 2631 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Dreaming against them. Open each page to compare what they document and how they install.