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Yggdrasil memory

Skill VonderVuflya/Yggdrasil/skills/yggdrasil-memory

Durable, cross-session, cross-project memory for the user's work via Yggdrasil. Use at the START of any non-trivial task to recall prior decisions, solutions, and lessons (ygg_recall / ygg_bootstrap), and AFTER solving something reusable to save it (ygg_remember). Trigger when the user says "have we done this before", "what do we know about X", "remember this", "save this decision/lesson", when starting work in a project that may have history, or when a problem resembles past work. Works with the Yggdrasil MCP tools (ygg_*) or the `ygg` CLI.From its SKILL.md

Install
npx -y skills add VonderVuflya/Yggdrasil --skill yggdrasil-memory

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One thing to look at

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What its file declares

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SKILL.md

3.5 KB, as published. Nobody here has run it

Yggdrasil memory

Yggdrasil is the user's durable memory across sessions, tools, and projects. Treat it as long-term memory you must consult and curate — not as a scratchpad.

When to use

  • Before starting non-trivial work → recall what's already known so you reuse prior decisions/solutions instead of re-deriving them.
  • When the user asks "have we done this before", "what do we know about X", "what did we decide about Y".
  • After you solve something reusable (a fix, a decision, a gotcha, a convention) → save it so the next session/agent benefits.
  • When the user says "remember this" / "save this".

Tools

Prefer the MCP tools if present, otherwise shell out to the ygg CLI (same behavior):

GoalMCP toolCLI
Find prior work across ALL projectsygg_recallygg recall --query "..."
Find memory scoped to one projectygg_bootstrap / ygg_searchygg bootstrap --project P --query "..."
Save a reusable memoryygg_rememberygg remember --project P --type T --content "..."
Check the engine is upygg_healthygg health

Workflow

1. Recall first (read)

At the start of a task, query before acting:

  • Cross-project: ygg_recall(query: "<the problem in a few words>", limit: 5).
  • Project-scoped (when you know the project): ygg_bootstrap(project: "<name>", query: "<topic>").

Skim the hits, note their provenance (source / confidence / how often used / 📌 pinned), and reuse what applies. If something contradicts the current situation, say so rather than blindly trusting it — memories are point-in-time.

2. Remember after (write)

When you produce something worth keeping, save one fact per memory: ygg_remember(project: "<name>", type: "<decision|lesson|convention|fix|...>", content: "<the durable fact, self-contained>").

Good candidates: a decision and its rationale, a non-obvious fix, a project convention, a gotcha that cost time. Skip: things derivable from the code, git history, or that only matter to this one conversation.

Conventions

  • Scope by project. Always pass a real project name for saves and project-scoped reads; use ygg_recall (no project) only for cross-project lookups.
  • One fact per memory. Keep content self-contained and specific. Convert relative dates ("yesterday") to absolute.
  • Never store secrets. No tokens, API keys, passwords. The engine refuses common secret patterns, but don't rely on that — don't try.
  • Don't dump. Recall the few relevant memories and act; don't paste the whole store into the chat.

If the tools aren't available

The engine may be down or the MCP/CLI not installed. Check with ygg health (or ygg_health). If it's unreachable, tell the user to run ygg start / ygg doctor, and continue without memory rather than blocking.

Keep looking

Skills are one crate of 627,801. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.