skills
Skill36 starsChanged 8 days agoMITView on GitHub
Your next session starts cold. No memory of what you built, what broke, what you decided. Every memory you write is a gift to that future session. The richer the memory, the less time re-learning. Works with any framework — Claude Code, Cursor, Windsurf, Aider, or anything with shell access. You (the agent reading this) use the CLI commands below. geniuz keep writes; geniuz recall reads. There's also a terminal UI (geniuz tui) and a graphical dashboard — those are…
58 other projects use a version of this.
Adopted by
Most recently taken up by
- liweijie0812/tdesign-skillstheir own version, first seen Nov 8, 2026
- shuji-bonji/ai-agent-architecturetheir own version, first seen Nov 8, 2026
- etr/groundworktheir own version, first seen Nov 8, 2026
- claude-world/director-mode-litetheir own version, first seen Nov 1, 2026
- Jopie64/skills-agent-skilltheir own version, first seen Nov 1, 2026
- Firzus/agent-skillstheir own version, first seen Oct 23, 2026
Other versions58 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 58
- GoogleCloudPlatform/training-data-analyst★ 8.7ksame name
- flexprice/flexprice★ 6.9ksame name
- BerriAI/litellm-agent-platform★ 1.3ksame name
- LiteLLM-Labs/litellm-agent-control-plane★ 1.3ksame name
- ahmadawais/ramadan-cli★ 601same name
- caipe-io/ai-platform-engineering★ 438same name
- cnoe-io/ai-platform-engineering★ 438same name
- kagenti/kagenti★ 303same name
- GoBetterAuth/go-better-auth★ 277same name
- second-state/qwen3_asr_rs★ 253same name
48 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
6 rules. 0 are common, 2 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 37 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 92
Never copy a folder's files: a copy of a live database can lose memories, and a folder can't be duplicated, because its ID and its …
- Very specific: line 111
If the question has a time in it ("last week", "yesterday"), add --since: 7d, 24h, 2w, or a date.
- Very specific: line 114
Start by meaning. Every answer ends with names seen: and pointers:.
- Very specific: line 118
Read the last line. searched: 312 memories · since 7d · grep "Cubic" says what "nothing found" means: nothing *in that scope*.
- Distinctive: line 138
When something works, write down what the green light did not tell you.
- Distinctive: line 148
Search finds memories by meaning, not keywords.
“Common” is measured: kept by at least 6 in 10 of the 37 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
geniuz
Your next session starts cold. No memory of what you built, what broke, what you decided. Every memory you write is a gift to that future session. The richer the memory, the less time re-learning.
Works with any framework — Claude Code, Cursor, Windsurf, Aider, or anything with shell access.
You (the agent reading this) use the CLI commands below. geniuz keep writes; geniuz recall reads. There's also a terminal UI (geniuz tui) and a graphical dashboard — those are for your human user to browse memories, not for you to call. The TUI refuses to launch from non-interactive callers and exits with code 2; calling it from a subprocess locks nothing up.
Why this matters
A memory that says "fixed auth bug" saves your future self zero time.
A memory that says what broke, why it broke, and how you fixed it saves an hour.
Memories compound. A single memory is a note. A folder of memories is institutional knowledge. Write for the version of you that knows nothing.
Commands
# Save what you learned — pipe in for depth, inline for quick notes
echo "Token validation was running before refresh in auth.rs.
Swapped lines 42-47. Root cause: middleware ordering assumed
sync validation, but OAuth refresh is async. Three edge cases
tested: expired token, revoked token, concurrent refresh." \
| geniuz keep -c - -g "fix: auth token refresh — async ordering in middleware"
# Quick memory when depth isn't needed
geniuz keep -c "Upgraded rusqlite to 0.32" -g "dep: rusqlite 0.32"
# Keep from a file
geniuz keep -c @session-notes.md -g "session: March 19 architecture review"
# Thread a follow-up
geniuz keep -c "Same fix needed in staging compose" -g "fix: staging auth ordering" -p A1B2C3D4
# Search by meaning — not keywords
geniuz recall "authentication middleware"
geniuz recall "what broke in production" --since 7d
# Proper names match exactly and come first (a Capitalized word after the
# first, or anything in "quotes")
geniuz recall "who reviewed the PR, was it Cubic"
# Exact words: the matching LINES from full content, newest first
geniuz recall --grep Cubic --since 7d
geniuz recall --grep Cubic --grep "pull request" # every term must appear
# A whole thread, root first, from any memory in it
geniuz recall --thread A1B2C3D4
# Keyword fallback (whole memories, any word)
geniuz recall --keyword "auth"
# Recent memories: recall with no search
geniuz recall
geniuz recall -l 5
# Full content (not just gist)
geniuz recall --full "auth"
# Discover something you forgot you knew
geniuz recall --random
# Bulk-load existing files
geniuz capture ./docs/
# Build embedding cache (once, then automatic)
geniuz backfill
# Stats for the folder in use
geniuz statusFolders
Memories live in folders, each with a name and a description. Choose the folder before you keep, because a memory can't be moved afterwards. Read its description first: it may say what belongs there, what must not go there, and how to use it. To make a new one, pass create to the folders tool, or run geniuz folder create.
geniuz folder list # all of them; * is the one in use
geniuz folder show Work # one in full, with its description
geniuz keep --in Work -c "..." -g "..."
geniuz recall --in Work "deploy"
geniuz recall --all "deploy" # every folder; each result shows its address
geniuz recall 13625F6B:3487B9B0 # open an address, whichever folder it's inA wrong name is an error, never a different folder. To use one folder throughout a project, put its name in a .geniuz-folder file there.
Multiple agents can use the same folder. What one agent learns, every agent finds. That also makes a folder a way to leave each other messages: thread your reply to theirs with -p.
Never copy a folder's files: a copy of a live database can lose memories, and a folder can't be duplicated, because its ID and its memories' IDs are permanent. To relocate one, use geniuz folder move.
When to keep
- After solving something hard. Your next session will hit the same problem. Give it the answer.
- Before your session ends. Everything in your context window dies with the session. Your folder doesn't.
- When you discover something non-obvious. The small facts — which config flag, which line number, which edge case — are the ones that save the most time.
When to recall
- Starting a new task. You may have already solved part of it last week.
- When stuck. The answer might be in a memory from three sessions ago.
- After compaction. Your context was compressed. Your folder wasn't.
How to find things
Meaning is for discovery: concepts and names you didn't know to ask for. Exact is for recall: who, when, did it happen, by proper name.
- If the question has a time in it ("last week", "yesterday"), add
--since:7d,24h,2w, or a date. Without it, months of older memories outrank last week's answer. - Start by meaning. Every answer ends with
names seen:andpointers:. Those are your next hops. - Go exact with what you found:
--grep Devin, or--thread 3487B9B0to read the whole conversation. - Read the last line.
searched: 312 memories · since 7d · grep "Cubic"says what "nothing found" means: nothing in that scope.
Through MCP the same works as recall arguments: folder, all, since,
until, grep (a word or a list), thread. query takes an address too.
Note:
geniuz recall helpprints recall's help instead of searching for the literal word "help". To find memories about that word, use a phrase containing it — e.g.geniuz recall "help with debugging"orgeniuz recall "how to help".
Writing good memories
The gist is how your future self finds this memory. The content is what makes it useful when found.
Gist: compress the insight. "fix: auth token refresh — async ordering in middleware" — category, what, why, where.
Content: make it self-contained. If your future self reads only this memory — no session history, no surrounding context — can they understand what happened and act on it?
A memory doesn't need to be long. It needs to be complete.
Anything longer than a sentence: use a file (-c @note.md) or stdin (-c -). The inline form is the one a shell quietly corrupts — backticks get evaluated, quotes get eaten, newlines collapse — and you cannot take back what was kept.
When something works, write down what the green light did not tell you. A passing test proves something narrower than you meant to ask. That gap is the difference between a note and a lesson.
Memories are permanent
There is no edit and no delete. If a memory was wrong, keep the correction threaded to it with -p. The folder keeps the wrong turn and the fix together, which is why you can trust what you find in it.
How it works
Memories live in a SQLite database. Semantic search uses a local BERT model — no API calls, no cloud, runs fully offline. The model downloads once (~118MB) on first search. Every memory after that is embedded automatically.
Search finds memories by meaning, not keywords. "Authentication middleware" matches a memory about "token validation ordering" because the concepts overlap.
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.

