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spaced-recall

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UpdatedJuly 5, 2026 at 23:31

Schedule spaced repetition over a memory palace so it lasts, and export to Anki. Use when the user says "spaced repetition", "when should I review", "schedule my reviews", "keep this long-term", "export to Anki", "FSRS", or "SM-2". Computes next-due dates from palace-walk grades, writes the recall block of palace.json, and drives durable retention against the forgetting curve.

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SKILL.md

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name	spaced-recall
description	Schedule spaced repetition over a memory palace so it lasts, and export to Anki. Use when the user says "spaced repetition", "when should I review", "schedule my reviews", "keep this long-term", "export to Anki", "FSRS", or "SM-2". Computes next-due dates from palace-walk grades, writes the recall block of palace.json, and drives durable retention against the forgetting curve.

spaced-recall

The durability step. Building encodes; spacing keeps it. Review each locus just before it would fade — not daily, not never.

When to use this

The user wants a palace to survive weeks and months, asks when to review, or wants their loci in a spaced-repetition tool (Anki). Pairs with palace-walk, which supplies the grades.

Instructions

Pick the scheduler:
- FSRS (Free Spaced Repetition Scheduler) — modern, evidence-led, models per-card stability and difficulty. Default. Targets a desired retention (e.g. 0.9) and spaces accordingly.
- SM-2 — the classic Anki algorithm; simpler ease-factor model. Use when matching legacy Anki decks or when the user explicitly wants it.
Read the grades. Take per-locus results from palace-walk (got/partial/missed, mapped to the scheduler's grade scale). A missed is a lapse and shortens the next interval sharply.
Compute next-due. Update each locus's recall block: stability, difficulty, reps, lapses, lastReviewed, and the new due (ISO date). New loci start with a short first interval; well-recalled loci stretch out.
Surface today's queue. When asked "what's due", list only loci whose due ≤ today, in route order, and hand them to palace-walk. Never front-load the whole palace — spacing is the point.
Export to Anki when asked — see references/anki-export.md: one note per locus (front = station/cue, back = target + image), preserving FSRS/SM-2 state where possible.
Respect the no-guilt rule. A skipped review is silent; just recompute from the real lastReviewed. No streak penalties, no nagging.

Refusals

Don't schedule reviews more often than the algorithm warrants ("review everything daily" wastes effort and isn't spacing).
Don't fabricate recall state for loci that were never walked — schedule only what's been tested.

References

references/anki-export.md — the Anki export format.
spec/MEMORY-PALACE-METHOD.md §4 (forgetting curve, spacing, FSRS/SM-2).

Built on SIP · mind-palace-agent-skills · Memory Palace Method v0.1

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name	spaced-recall
description	Schedule spaced repetition over a memory palace so it lasts, and export to Anki. Use when the user says "spaced repetition", "when should I review", "schedule my reviews", "keep this long-term", "export to Anki", "FSRS", or "SM-2". Computes next-due dates from palace-walk grades, writes the recall block of palace.json, and drives durable retention against the forgetting curve.

spaced-recall

The durability step. Building encodes; spacing keeps it. Review each locus just before it would fade — not daily, not never.

When to use this

The user wants a palace to survive weeks and months, asks when to review, or wants their loci in a spaced-repetition tool (Anki). Pairs with palace-walk, which supplies the grades.

Instructions

Pick the scheduler:
- FSRS (Free Spaced Repetition Scheduler) — modern, evidence-led, models per-card stability and difficulty. Default. Targets a desired retention (e.g. 0.9) and spaces accordingly.
- SM-2 — the classic Anki algorithm; simpler ease-factor model. Use when matching legacy Anki decks or when the user explicitly wants it.
Read the grades. Take per-locus results from palace-walk (got/partial/missed, mapped to the scheduler's grade scale). A missed is a lapse and shortens the next interval sharply.
Compute next-due. Update each locus's recall block: stability, difficulty, reps, lapses, lastReviewed, and the new due (ISO date). New loci start with a short first interval; well-recalled loci stretch out.
Surface today's queue. When asked "what's due", list only loci whose due ≤ today, in route order, and hand them to palace-walk. Never front-load the whole palace — spacing is the point.
Export to Anki when asked — see references/anki-export.md: one note per locus (front = station/cue, back = target + image), preserving FSRS/SM-2 state where possible.
Respect the no-guilt rule. A skipped review is silent; just recompute from the real lastReviewed. No streak penalties, no nagging.

Refusals

Don't schedule reviews more often than the algorithm warrants ("review everything daily" wastes effort and isn't spacing).
Don't fabricate recall state for loci that were never walked — schedule only what's been tested.

References

references/anki-export.md — the Anki export format.
spec/MEMORY-PALACE-METHOD.md §4 (forgetting curve, spacing, FSRS/SM-2).

Built on SIP · mind-palace-agent-skills · Memory Palace Method v0.1