iamtouchskyer/memex/memex-recall

Claude Code and agent skill by iamtouchskyer/memex

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Load prior knowledge from Zettelkasten memory when the task likely benefits from past context.

Install

npx vskill@latest install iamtouchskyer/memex/memex-recall

SKILL.md

Memory Recall

You have access to a Zettelkasten memory system via the memex CLI. Before starting this task, search your memory for relevant prior knowledge.

Tools Available

Three equivalent interfaces — use whichever your environment supports:

CLI (memex in PATH)Plugin CLI fallback (Claude Code)MCP tool (VSCode / Cursor)
memex read indexnode ~/.claude/plugins/cache/cc-plugins/memex/*/dist/cli.js read indexmemex_read with slug index
memex search <q>node ~/.claude/plugins/cache/cc-plugins/memex/*/dist/cli.js search <q>memex_search with query arg
memex read <slug>node ~/.claude/plugins/cache/cc-plugins/memex/*/dist/cli.js read <slug>memex_read with slug arg
memex search (no args)node ~/.claude/plugins/cache/cc-plugins/memex/*/dist/cli.js searchmemex_search with no args

Resolution order: Try memex in PATH first. If not found, define a shell function and use it:

bash
memex() { node $HOME/.claude/plugins/cache/cc-plugins/memex/*/dist/cli.js "$@"; }

If both CLI approaches fail, use MCP tools.

The rest of this skill uses memex CLI syntax for brevity.

Process

dot
digraph recall {
"Task received" -> "Relevant to prior work?" [shape=diamond];
"Relevant to prior work?" -> "Generate 1-3 search keywords" [label="yes"];
"Relevant to prior work?" -> "Proceed without recall" [label="no"];
"Generate 1-3 search keywords" -> "memex search <query>";
"memex search <query>" -> "Review summaries";
"Review summaries" -> "Relevant cards found?" [shape=diamond];
"Relevant cards found?" -> "memex read <card>" [label="yes"];
"Relevant cards found?" -> "Need broad overview?" [label="no"];
"Need broad overview?" -> "memex read index" [label="yes"];
"Need broad overview?" -> "Proceed without recall" [label="no"];
"memex read index" -> "Pick relevant slugs" -> "memex read <card>";
"memex read <card>" -> "See [[links]] in content";
"See [[links]] in content" -> "Links worth following?" [shape=diamond];
"Links worth following?" -> "memex read <linked-card>" [label="yes"];
"Links worth following?" -> "Enough context?" [label="no"];
"memex read <linked-card>" -> "See [[links]] in content";
"Enough context?" -> "More queries to try?" [label="no"];
"More queries to try?" -> "Generate new query" [label="yes"];
"Generate new query" -> "memex search <query>";
"More queries to try?" -> "Summarize findings, proceed with task" [label="no"];
"Enough context?" -> "Summarize findings, proceed with task" [label="yes"];
}
Step 1: Targeted keyword search (preferred)

Generate 1-3 search keywords from the current task and run memex search <keyword> for each. This is faster and more focused than reading the full index.

Step 2: Read the keyword index (when needed)

If you need a broad overview of what's in memory (e.g. first time working in this area, or the task is vague), run memex read index. The index is a curated concept → card mapping. It's much smaller than all cards combined and gives you entry points.

Step 3: Follow links

When you read a card and see [[links]] in the prose, decide if they're worth following. If yes, memex read <linked-slug>.

Step 4: Summarize and proceed

When you have enough context, summarize your findings and proceed with the task.

Guardrails

  • max_hops: 3 — Do not follow links more than 3 levels deep
  • max_cards_read: 20 — Do not read more than 20 cards in a single recall
  • no raw secrets — Never include actual secrets, credentials, tokens, or exact secret file contents in search queries. Use abstract descriptions instead (e.g. gitee pr auth workflow, not a token value or credential file contents).
  • If you hit either limit, stop and work with what you have

Counting Rules

  • Hop 0 = cards found directly via index or memex search. Following a [[link]] from there is hop 1, etc.
  • Keep a running count of memex read calls. If you've read 20 cards, stop immediately.

Important

  • Prefer targeted memex search <keyword> over reading the full index — it's faster and more focused
  • Only memex read index when you need a broad overview or search returns nothing useful
  • Generate search queries in BOTH Chinese and English to maximize recall
  • If search returns nothing useful, that's fine — proceed without memory context
  • Summarize what you found before proceeding, so the findings are in your context

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
129
Repository forks
38
7-day trend score
24

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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