iamtouchskyer/memex/memex-recall
Claude Code and agent skill by iamtouchskyer/memex
- community
Checking that the SKILL.md file is still in the repository.
Load prior knowledge from Zettelkasten memory when the task likely benefits from past context.
Install
npx vskill@latest install iamtouchskyer/memex/memex-recallSKILL.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 index | node ~/.claude/plugins/cache/cc-plugins/memex/*/dist/cli.js read index | memex_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 search | memex_search with no args |
Resolution order: Try memex in PATH first. If not found, define a shell function and use it:
If both CLI approaches fail, use MCP tools.
The rest of this skill uses memex CLI syntax for brevity.
Process
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 readcalls. 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 indexwhen 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
- SKILL.md in the repositoryCheckingskills/memex-recall/SKILL.md
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.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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- Cursor
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- Qwen Code
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- Firebase Genkit
- Sweep
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- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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