agentsclimarketplace

Memory

Skill aiskillstore/marketplace/skills/chachamaru127/memory

Manage SSOT, memory, and cross-tool memory search. Guardian of decisions.md and patterns.md. Use when user mentions memory, SSOT, decisions.md, patterns.md, merging, migration, SSOT promotion, sync memory, save learnings, memory search, harness-mem, past decisions, or record this. Do NOT load for: implementation work, reviews, ad-hoc notes, or in-session logging.From its SKILL.md

Install
npx -y skills add aiskillstore/marketplace --skill memory

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

3.5 KB, 742 tokens by cl100k_base, as published. Nobody here has run it

Memory Skills

メモリとSSOT管理を担当するスキル群です。

機能詳細

機能詳細
SSOT初期化See references/ssot-initialization.md
Plans.mdマージSee references/plans-merging.md
移行処理See references/workflow-migration.md
プロジェクト仕様同期See references/sync-project-specs.md
メモリ→SSOT昇格See references/sync-ssot-from-memory.md

Unified Harness Memory(共通DB)

Claude Code / Codex / OpenCode 共通の記録・検索は harness_mem_* MCP を優先する。

  • 検索: harness_mem_search, harness_mem_timeline, harness_mem_get_observations
  • 注入: harness_mem_resume_pack
  • 記録: harness_mem_record_checkpoint, harness_mem_finalize_session, harness_mem_record_event

Claude Code 自動メモリとの関係(D22)

Harness の SSOT メモリ(Layer 2)は Claude Code の自動メモリ(Layer 1)と共存します。 自動メモリは汎用的な学習を暗黙的に記録し、SSOT はプロジェクト固有の意思決定を明示的に管理します。 Layer 1 の知見がプロジェクト全体に重要な場合、/memory ssot で Layer 2 に昇格してください。

詳細: D22: 3層メモリアーキテクチャ

実行手順

  1. ユーザーのリクエストを分類
  2. 上記の「機能詳細」から適切な参照ファイルを読む
  3. その内容に従って実行

SSOT昇格

メモリシステム(Claude-mem / Serena)から重要な学びをSSOTに永続化します。

What ships with it: 6 files

58.8 KB alongside SKILL.md

Gives 0 of the 12 instructions most memory context skills give in 742 tokens

Counted across 754 of the 1,056 authors here whose files we hold, read 2026-09-06

  • Preserve existing content structurein 15 of 754, across 9 files
  • Front-load the leading wordin 14 of 754, across 10 files
  • Update existing entries instead of duplicatingin 14 of 754, across 7 files
  • Keep CLAUDE.md under one hundred linesin 14 of 754, across 12 files
  • Read CLAUDE.md at the project rootin 14 of 754
  • Keep each meaning in a single source of truthin 12 of 754, across 8 files
  • Redact sensitive information before committingin 11 of 754, across 4 files
  • Scan for all CLAUDE.md filesin 11 of 754, across 7 files
  • Use frontmatter for metadata on filesin 10 of 754, across 3 files
  • Repeat user interactions 10 timesin 10 of 754, across 4 files
  • Write the CLAUDE.md file into the target folderin 10 of 754, across 8 files
  • Use memlab to process snapshotsin 9 of 754, across 3 files

Said here and by no other author read

  • Prioritize harness_mem tools for memory search

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 325,949. 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.