A knowledge management tool that saves session findings and decisions, allowing future sessions to start with full context.

Install

mkdir -p .claude/skills/skills-jackccrawford && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/15420" && unzip -o skill.zip -d .claude/skills/skills-jackccrawford && rm skill.zip

Installs to .claude/skills/skills-jackccrawford

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

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.
196 chars · catalog descriptionno explicit “when” trigger
Beginner

Key capabilities

  • →Save session memories to a SQLite database
  • →Recall memories by meaning, not just keywords
  • →Tag memories with gists for quick identification
  • →Thread follow-up memories to existing ones
  • →Bulk-load existing files as memories
  • →Build and manage a local BERT model for semantic search

How it works

Memories are stored in a SQLite database, and semantic search is performed using a local BERT model that finds memories by meaning rather than keywords.

Inputs & outputs

You give it
text 'Token validation was running before refresh in auth.rs.'
You get back
a saved memory with gist 'fix: auth token refresh , async ordering in middleware'

When to use skills

  • →Save session notes
  • →Recall past debugging findings
  • →Document architectural decisions
  • →Maintain technical history

About this skill

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 remember 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 remember -c - -g "fix: auth token refresh — async ordering in middleware"

# Quick memory when depth isn't needed
geniuz remember -c "Upgraded rusqlite to 0.32" -g "dep: rusqlite 0.32"

# Remember from a file
geniuz remember -c @session-notes.md -g "session: March 19 architecture review"

# Thread a follow-up
geniuz remember -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
geniuz recent
geniuz recent -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/
geniuz capture --openclaw

# Build embedding cache (once, then automatic)
geniuz backfill

# Folder stats
geniuz status

Shared folders

Multiple agents can write to the same folder. What one agent learns, every agent finds.

GENIUZ_STATION=/shared/team.db geniuz remember -c "Deploy complete" -g "ops: deploy v2.1"
GENIUZ_STATION=/shared/team.db geniuz recall "deploy"

When to remember

  • 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.

  1. 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.
  2. Start by meaning. Every answer ends with names seen: and pointers:. Those are your next hops.
  3. Go exact with what you found: --grep Devin, or --thread 13625F6B to read the whole conversation.
  4. 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: since, until, grep (a word or a list), thread.

Note: geniuz recall help prints 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" or geniuz 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, remember 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.

When not to use it

  • →When the user needs a real-time, in-context memory that dies with the session
  • →When the task does not involve saving or recalling past findings
  • →When the user prefers a graphical dashboard over CLI commands for memory management

Limitations

  • →The terminal UI refuses to launch from non-interactive callers
  • →The BERT model downloads once (~118MB) on first search
  • →GENIUZ_STATION environment variable is used for shared folders

How it compares

This skill provides a persistent, semantic memory system that operates offline and across sessions, allowing recall by meaning, unlike temporary context windows or keyword-only search.

Compared to similar skills

skills side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
skills (this skill)04moReviewBeginner
knowledge-ops05moNo flagsAdvanced
knowledge-base17moReviewBeginner
notion-knowledge-capture1011moNo flagsIntermediate

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