diary
Skill1 starsChanged 5 months agoMITView on GitHub
Chat with / check the ultra-second-brain memory. Use when the user asks "what have we tried/learned about X", "have I solved this before", "what failed last time", "check the diary", or wants references that drill into detailed records. Reads the `memory` MCP server provided by this plugin.
10 other projects use a version of this.
Adopted by
Most recently taken up by
- memcastle/memcastletheir own version, first seen Nov 1, 2026
- qqq1212341/picture-diarytheir own version, first seen Nov 1, 2026
- wesen/skillstheir own version, first seen Oct 25, 2026
- birdmanmandbir/skillstheir own version, first seen Oct 9, 2026
- PassionZale/skillstheir own version, first seen Sep 22, 2026
- cwinvestments/memstacktheir own version, first seen Jun 22, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- cwinvestments/memstack★ 425same name
- maragudk/skills★ 49same name
- Wondermonger-daydreaming/claude-skills-library★ 7same name
- wesen/skills★ 4same name
- PassionZale/skills★ 2same name
- qqq1212341/picture-diary★ 2same name
- birdmanmandbir/skills★ 1same name
- ikangai/claude-skills★ 1same name
- memcastle/memcastle★ 1same name
- vbrevik/claude_code_skills★ 0same name
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
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 13
Get the headline: Call memory.recall(query=<question>, scope="all").
- Distinctive: line 28
Keep it tight: short answer first, evidence one click away.
- Very specific: line 30
If $ARGUMENTS is empty, call memory.status() and memory.recall(scope="diary"), summarize the most recent diary findings, and ask what they …
“Common” is measured: kept by at least 6 in 10 of the 10 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
Diary — query your second brain
You have a memory MCP server (from the ultra-second-brain plugin). Use it to answer
the user's question. $ARGUMENTS is the question (may be empty).
How to answer
- Get the headline. Call
memory.recall(query=<question>, scope="all").diaryhits are the distilled, groundbreaking findings — lead with these.recordsare detailed unit entries (edits, commands, iterations, commits).
- If they ask what failed / what was tried, also call
memory.reflect(task=<question>)to surface past dead-ends and their fixes, so you can tell them what to avoid. - For a specific experiment, call
memory.iterations(experiment_id=…)to lay out the full arc, including the failed attempts. - To drill in, call
memory.get(id_or_slug=…)on any record/finding for the full text and its cross-vault references.
How to present
- Lead with the headline finding (one or two lines).
- Then list references: for each, show
vault_id/record_idand theobsidian://link so the user can jump straight to the full detail in the relevant repo's wiki. - Keep it tight: short answer first, evidence one click away. Don't dump raw records.
If $ARGUMENTS is empty, call memory.status() and memory.recall(scope="diary"), summarize
the most recent diary findings, and ask what they want to dig into.
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.

