Ontology
1mancompany/OneManCompany
Typed knowledge graph for structured agent memory and composable skills.
Maintain Signet's living ontology and memory substrate from transcripts, memory artifacts, source artifacts, notes, summaries, and imported records.
Install Dreaming
$ npx skills add Signet-AI/signetai --skill dreaming -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Signet-AI/signetai dreaming --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/Signet-AI/signetai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dreaming .claude/skills/dreaming && 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 "dreaming" agent skill from https://github.com/Signet-AI/signetai/tree/main/skills/dreaming into .claude/skills/dreaming/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dreaming", 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/Signet-AI/signetai/tree/main/skills/dreamingType 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 Signet-AI/signetai --skill dreaming -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Signet-AI/signetai dreaming --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Signet-AI/signetai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dreaming .agents/skills/dreaming && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dreaming" agent skill from https://github.com/Signet-AI/signetai/tree/main/skills/dreaming into .agents/skills/dreaming/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dreaming", 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 Signet-AI/signetai --skill dreaming -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Signet-AI/signetai dreaming --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Signet-AI/signetai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dreaming .cursor/skills/dreaming && 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 "dreaming" agent skill from https://github.com/Signet-AI/signetai/tree/main/skills/dreaming into .cursor/skills/dreaming/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dreaming", 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/Signet-AI/signetai.git --path skills/dreaming--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 Signet-AI/signetai --skill dreaming -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Signet-AI/signetai dreaming --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Signet-AI/signetai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dreaming .gemini/skills/dreaming && 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 "dreaming" agent skill from https://github.com/Signet-AI/signetai/tree/main/skills/dreaming into .gemini/skills/dreaming/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dreaming", 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 Signet-AI/signetai dreamingInstalls 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 Signet-AI/signetai --skill dreaming -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Signet-AI/signetai.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dreaming .github/skills/dreaming && 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 "dreaming" agent skill from https://github.com/Signet-AI/signetai/tree/main/skills/dreaming into .github/skills/dreaming/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dreaming", 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 Signet-AI/signetai --skill dreaming -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Signet-AI/signetai dreaming --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Signet-AI/signetai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dreaming .opencode/skills/dreaming && 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 "dreaming" agent skill from https://github.com/Signet-AI/signetai/tree/main/skills/dreaming into .opencode/skills/dreaming/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dreaming", 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
dreaming- GitHub stars
- 305
- Token cost
- ~2.9k tokens
- SKILL.md length
- 1,233 words
- Files
- 1
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Maintain Signet's living ontology and memory substrate from transcripts, memory artifacts, source artifacts, notes, summaries, and imported records.
- Works in 9 steps: Inspect graph mutation state and… → Read the requested… → Extract concrete semantic objects and… → …
- Tasks that involve Knowledge graphs
- SKILL.md covers Inputs, Outputs, Routing Rules and Ingestion Workflow, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Dreaming is an agent skill from Signet-AI/signetai. Maintain Signet's living ontology and memory substrate from transcripts, memory artifacts, source artifacts, notes, summaries, and imported records.
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Knowledge Management, covering Knowledge graphs. The repository describes itself as: Sync and store memories, shared identity files (AGENTS.md, CLAUDE.md), session transcripts, institutional knowledge, and secrets between all of your favorite harnesses and models.
When your agent uses it
- Tasks that involve Knowledge graphs
Example prompts
- “/dreaming”
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- Inspect graph mutation state and existing ontology shape.
- Read the requested transcript/artifact/source window.
- Extract concrete semantic objects and stable facts.
- Reconcile against existing entities, aspects, groups, claims, and pending
- Capture attributed claims and beliefs as epistemic assertions before
- Apply straightforward, authorized maintenance through the control plane with
- Use dry-run for selector validation or risky/destructive operations; use
- Save source-backed memory artifacts for durable recall when the pass learns
- Keep a dreaming log with source ranges, changes, rejected candidates, and
What it can do on your machine
Read from SKILL.md and the folder at commit aa4c499. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and json).
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
Dreaming loads about 2.9k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 1,233 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); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,233 words (~2,869 tokens).
“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…”
- name
- dreaming
- version
- 1.0.0
- builtin
- true
Files
Just SKILL.md in skills/dreaming of Signet-AI/signetai.
Open the folder on GitHubat commit aa4c499
Compare with similar skills
Dreaming 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 |
|---|---|---|---|---|---|---|
| Dreaming this skillSignet-AI/signetai | 305 | — | ~2.9k | Automated safety check: Pass | Custom licence | |
| Ontology1mancompany/OneManCompany | 442 | 2 repos | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| KapsoLeeroo-AI/kapso | 121 | — | ~3.6k | Automated safety check: Notes | MIT | |
| Memory Tasksbasicmachines-co/basic-memory | 4.1k | 1 repos | ~1.4k | Automated safety check: Pass | AGPL-3.0 | |
| Lat Md Knowledge Graphstevesolun/ctx | 588 | — | ~466 | Automated safety check: Pass | MIT | |
| Basic Memorybasicmachines-co/basic-memory | 4.1k | — | ~2.9k | Automated safety check: Pass | AGPL-3.0 |
Similar skills
Kapso
Leeroo-AI/kapso
Operate Kapso (PyPI leeroo-kapso), the long-running agents that optimize AI and Data systems, from a coding session — verify the install with kapso doctor, launch and follow an evolve campaign…
Memory Tasks
basicmachines-co/basic-memory
Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction.
Lat Md Knowledge Graph
stevesolun/ctx
Design or audit a repo-local markdown knowledge graph with wiki links, source-code backlinks, drift checks, and searchable sections.
Basic Memory
basicmachines-co/basic-memory
Use the Basic Memory knowledge graph for persistent memory across sessions.
Issueflow Build
jepegit/cellpy
Run the /build slash command: rebuild the graphify knowledge graph for the project (graphify-out/graph.html, GRAPHREPORT.md, graph.json) by shelling out to issue-flow build (or graphify directly).
More from Signet-AI/signetai
All 9 skills in this repoDreaming Development
Signet-AI/signetai
A skill your agent uses for Signet Dreaming development: inspect existing source, semantic-memory, retrieval, and inference architecture before changing it; prevent duplicate modules and ad-hoc…
Benchmarking
Signet-AI/signetai
Benchmark Signet memory with MemoryBench: regression-check Dreaming and recall changes, compare models, diagnose score drops, and record results; NOT for the prompt-submit latency benchmark.
Onboarding
Signet-AI/signetai
Interactive interview to set up your Signet workspace (~5-10 minutes).
Agents Md Sync
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Prune and route AGENTS.md trees for durable, high-signal context.
Benchmark Context
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Automatically benchmark your custom memory implementation against established systems like Supermemory.
Provider SDK Upgrades
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Upgrade provider SDKs and refresh bundled model presets; NOT for unrelated provider architecture.
Related
Categories
Questions about Dreaming
What does Dreaming do?
Maintain Signet's living ontology and memory substrate from transcripts, memory artifacts, source artifacts, notes, summaries, and imported records. Dreaming is an agent skill from Signet-AI/signetai. Maintain Signet's living ontology and memory substrate from transcripts, memory artifacts, source artifacts, notes, summaries, and imported records.
When should I use Dreaming?
Dreaming fits situations like: tasks that involve Knowledge graphs.
How do I install Dreaming in Claude Code?
Run `npx skills add Signet-AI/signetai --skill dreaming -a claude-code`. Or copy the skill folder (skills/dreaming in Signet-AI/signetai) into .claude/skills/dreaming in your project. Claude Code loads it when a task matches its description.
How do I install Dreaming in Codex?
Run `npx skills add Signet-AI/signetai --skill dreaming -a codex`. Or copy the skill folder (skills/dreaming in Signet-AI/signetai) into .agents/skills/dreaming in your project. Codex loads it when a task matches its description.
Can I use Dreaming 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 Signet-AI/signetai --skill dreaming -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dreaming, .gemini/skills/dreaming, .github/skills/dreaming and .opencode/skills/dreaming in your project.
What does Dreaming need to run?
SKILL.md names no scripts, command-line tools or credentials: Dreaming is instructions for the agent only.
Does Dreaming 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 Dreaming 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. Review the folder before installing.
What licence does Dreaming use?
Dreaming has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Dreaming use?
About 2.9k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Dreaming?
Skills that share tags, products or a category with Dreaming: Ontology (1mancompany/OneManCompany, 442 stars), Kapso (Leeroo-AI/kapso, 121 stars), Memory Tasks (basicmachines-co/basic-memory, 4.1k stars) and Lat Md Knowledge Graph (stevesolun/ctx, 588 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dreaming?
Signet-AI (a GitHub organization) maintains it in Signet-AI/signetai, which has 305 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 8, 2026.
Source: Signet-AI/signetai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.