nano-banana-pro-prompts-recommend-skill
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
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install chauncyzbc/structured-memory打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
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
-...这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
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...
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
AI Agent Orchestrator with Skills System - Give AI Agents superpowers: memory search, code graph queries, agent-to-agent messaging. Manage Claude, Codex or any AI Agent from one dashboard. Move Agents between c...
AI agent skills for the Universal Registry - search, chat, and register 72,000+ agents across 14+ protocols. Works with Claude, Codex, Cursor, OpenClaw, and any AI assistant.
A cross-platform skills manager for AI IDEs. Search marketplace, download locally, and install to Claude, Cursor, Windsurf, and more with one click.