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AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
Structured Memory
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install chauncyzbc/structured-memoryInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Version: 1.0.1
Use this skill to initialize and maintain a layered memory system in the OpenClaw workspace.
memory/YYYY-MM-DD.md as the source of truthcritical-facts/
critical-facts/cards/
memory/*.md history automaticallypreview + topic_summaries
For agents that have this skill installed, structured-memory should not be treated only as an on-demand utility. When the day produced meaningful task progress, decisions, blockers, risks, reusable execution-critical facts, or other meaningful updates to memory/YYYY-MM-DD.md, the agent should treat structured-memory rebuild as part of its default memory maintenance workflow.
After meaningful updates are written into memory/YYYY-MM-DD.md, the agent should normally rebuild the current day into the structured layer before the work cycle ends. This keeps indexes, modules, entities, critical-facts, and cards aligned with the source-of-truth daily memory.
memory/YYYY-MM-DD.md as the source of truth.domain fixed and small.module files only on demand.entities for stable objects and free_tags for one-off concepts.critical-facts/.Use these exact domains:
strategy
business
organization
finance
legal
project
operations
tech
-...These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Structured Memory is an OpenClaw skill for long-horizon agent memory maintenance.
It keeps memory/YYYY-MM-DD.md as the source of truth, then builds a structured retrieval layer on top of it:
1.0.1
206 / 206 passing
skills/structured-memory/ — the published skill packageprojects/structured-memory-spec.md — design/spec notesprojects/structured-memory-stable-baseline-2026-03-10.md — frozen baseline snapshotStructured Memory does not replace daily memory. It depends on daily memory and improves retrieval on top of it.
Source of truth:
memory/YYYY-MM-DD.md
Structured layers built from it:
memory-index/
memory-modules/
memory-entities/
critical-facts/
critical-facts/cards/
python3 skills/structured-memory/scripts/init_structure.py
python3 skills/structured-memory/scripts/rebuild_one_day.py YYYY-MM-DD
python3 skills/structured-memory/scripts/check_idempotency.py YYYY-MM-DD
python3 skills/structured-memory/scripts/search_critical_facts.py <query>
python3 skills/structured-memory/tests/run_tests.py
For agents that have this skill installed, structured-memory should not be treated only as an on-demand utility.
When the day produced meaningful task progress, decisions, blockers, risks, reusable execution-critical facts, or other meaningful updates to memory/YYYY-MM-DD.md, the agent should treat structured-memory rebuild as part of its default memory maintenance workflow.
Published skill bu...
# Structured Memory Version: `1.0.1` Use this skill to initialize and maintain a layered memory system in the OpenClaw workspace. ## What it does - Uses `memory/YYYY-MM-DD.md` as the source of truth - Builds rebuildable indexes by date, module, and entity - Extracts reusable execution-critical facts into `critical-facts/` - Rebuilds object-style cards under `critical-facts/cards/` - On first initialization, backfills existing `memory/*.md` history automatically - Maintains a frozen summary baseline with `preview + topic_summaries` ## Default operating rule For agents that have this skill installed, structured-memory should not be treated only as an on-demand utility. When the day produced meaningful task progress, decisions, blockers, risks, reusable execution-critical facts, or other meaningful updates to `memory/YYYY-MM-DD.md`, the agent should treat structured-memory rebuild as part of its default memory maintenance workflow. ## Work-cycle maintenance rule After meaningful updates are written into `memory/YYYY-MM-DD.md`, the agent should normally rebuild the current day into the structured layer before the work cycle ends. This keeps indexes, modules, entities, critical-facts, and cards aligned with the source-of-truth daily memory. ## Core rules 1. Treat `memory/YYYY-MM-DD.md` as the source of truth. 2. Keep first-level `domain` fixed and small. 3. Create second-level `module` files only on demand. 4. Prefer `entities` for stable objects and `free_tags` for one-off concepts. 5. Store reusable execution-critical facts under `critical-facts/`. 6. Never store high-sensitivity secrets in plain text unless the user explicitly requires it. 7. Indexes are rebuildable caches, not the truth. 8. A short daily preview is only for quick glance; it must not replace topic-level summaries for multi-topic days. ## Fixed first-level domains Use these exact domains: - `strategy` - `business` - `organization` - `finance` - `legal` - `project` - `operations` - `tech` -...
# Structured Memory Structured Memory is an OpenClaw skill for long-horizon agent memory maintenance. It keeps `memory/YYYY-MM-DD.md` as the source of truth, then builds a structured retrieval layer on top of it: - rebuildable indexes by date, module, and entity - execution-critical fact extraction - object-style fact cards for recall - card-first retrieval for paths, services, IDs, endpoints, repositories, and other operational facts ## Current release - Version: `1.0.1` - Regression baseline: `206 / 206 passing` ## What this repository contains - `skills/structured-memory/` — the published skill package - `projects/structured-memory-spec.md` — design/spec notes - `projects/structured-memory-stable-baseline-2026-03-10.md` — frozen baseline snapshot ## Core idea Structured Memory does **not** replace daily memory. It depends on daily memory and improves retrieval on top of it. Source of truth: - `memory/YYYY-MM-DD.md` Structured layers built from it: - `memory-index/` - `memory-modules/` - `memory-entities/` - `critical-facts/` - `critical-facts/cards/` ## Typical workflow ### 1. First-time setup ```bash python3 skills/structured-memory/scripts/init_structure.py ``` ### 2. Daily maintenance ```bash python3 skills/structured-memory/scripts/rebuild_one_day.py YYYY-MM-DD ``` ### 3. Validation / diagnostics ```bash python3 skills/structured-memory/scripts/check_idempotency.py YYYY-MM-DD python3 skills/structured-memory/scripts/search_critical_facts.py <query> python3 skills/structured-memory/tests/run_tests.py ``` ## Default operating model For agents that have this skill installed, structured-memory should not be treated only as an on-demand utility. When the day produced meaningful task progress, decisions, blockers, risks, reusable execution-critical facts, or other meaningful updates to `memory/YYYY-MM-DD.md`, the agent should treat structured-memory rebuild as part of its default memory maintenance workflow. ## Publishing Published skill bu...
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