dream
Skill0 starsChanged 7 days agoMITView on GitHub
Work is done and a dream is due - consolidate this repository's memory against what its sessions actually did, for the human to approve. Use when the Stop hook or the retro says a dream is due and the human agrees, or when the human runs /dream (/dream taste runs only the taste pass).
40 other projects use a version of this.
Adopted by
Most recently taken up by
- Melvynx/ai-maxxing-skillstheir own version, first seen Nov 8, 2026
- fjwood69/moritheir own version, first seen Nov 8, 2026
- alexandrosandre/agentic-engineeringtheir own version, first seen Nov 8, 2026
- MMACABRE/SKILLStheir own version, first seen Nov 8, 2026
- matteo-pacini/skillstheir own version, first seen Nov 1, 2026
- tatsoft-llc/Claude-Code-Skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use ingest, resume and 8 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
JaimeGBASkillingest
Digest an external source (article, paper, transcript, URL, book chapter) and integrate its content into the knowledge base
Also in 4 projects that use this
genomewalkerSkillresume
Resume a thread by loading its ~800-token context capsule
Also in 3 projects that use this
MicrosoftSkillinit
Also in 4 projects that use this
Hugging FaceSkillsimplify
Refactor code after tests pass. The "Refactor" phase of Red-Green-Refactor.
Also in 3 projects that use this
SentrySkilldeslop
Strip AI-generated noise from the diff before pushing — extra comments a human wouldn't write, defensive try/catch in trusted code paths, casts to any, inline imports in Python, and other style inconsistencies with the surrounding file. Use this immediately before commit so the diff stays clean.
Also in 3 projects that use this
Microsoft AzureSkillreflect
Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes. Use after user corrections ("no", "wrong"), praise ("perfect", "exactly"), or when discovering edge cases. Complements .squad/agents/{agent}/history.md and .squad/decisions.md.
Also in 3 projects that use this
Other versions40 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 40
- Noizefield/audio-plugin-coder★ 334same name
- grandamenium/dream-skill★ 136same name
- sneg55/agent-starter★ 76same name
- oprogramadorreal/optimus-claude★ 75same name
- tranhieutt/software_development_department★ 71same name
- maxvaega/awesome-skills★ 40same name
- seldonframe/seldonframe★ 40same name
- hyperb1iss/hyperskills★ 36same name
- fjwood69/mori★ 32same name
- Melvynx/ai-maxxing-skills★ 32same name
30 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 39 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 6
Follow docs/procedures/dream.md exactly.
“Common” is measured: kept by at least 6 in 10 of the 39 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Follow docs/procedures/dream.md exactly; with the argument taste, run only its Taste pass. The dream only proposes; nothing in memory or the taste profile changes until the human approves numbered items.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

