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para-memory-files

Use a file-based PARA memory system to store, retrieve, and organize durable knowledge across sessions. Trigger on saving facts, daily notes, entity records, weekly synthesis, recall, tacit user patterns, or plan memory.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=paperclipai-paperclip-skills-para-memory-files-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name para-memory-files description Use a file-based PARA memory system to store, retrieve, and organize durable knowledge across sessions. Trigger on saving facts, daily notes, entity records, weekly synthesis, recall, tacit user patterns, or plan memory. PARA Memory Files Persistent, file-based memory organized by Tiago Forte's PARA method. Three layers: a knowledge graph, daily notes, and tacit knowledge. All paths are relative to $AGENT_HOME . Three Memory Layers Layer 1: Knowledge Graph ( $AGENT_HOME/life/ -- PARA) Entity-based storage. Each entity gets a folder with two tiers: summary.md -- quick context, load first. items.yaml -- atomic facts, load on demand. $AGENT_HOME/life/ projects/ # Active work with clear goals/deadlines <name>/ summary.md items.yaml areas/ # Ongoing responsibilities, no end date people/<name>/ companies/<name>/ resources/ # Reference material, topics of interest <topic>/ archives/ # Inactive items from the other three index.md PARA rules: Projects -- active work with a goal or deadline. Move to archives when complete. Areas -- ongoing (people, companies, responsibilities). No end date. Resources -- reference material, topics of interest. Archives -- inactive items from any category. Fact rules: Save durable facts immediately to items.yaml . Weekly: rewrite summary.md from active facts. Never delete facts. Supersede instead ( status: superseded , add superseded_by ). When an entity goes inactive, move its folder to $AGENT_HOME/life/archives/ . When to create an entity: Mentioned 3+ times, OR Direct relationship to the user (family, coworker, partner, client), OR Significant project or company in the user's life. Otherwise, note it in daily notes. For the atomic fact YAML schema and memory decay rules, see references/schemas.md . Layer 2: Daily Notes ( $AGENT_HOME/memory/YYYY-MM-DD.md ) Raw timeline of events -- the "when" layer. Write continuously during conversations. Extract durable facts to Layer 1 during heartbeats. Layer 3: Tacit Knowledge ( $AGENT_HOME/MEMORY.md ) How the user operates -- patterns, preferences, lessons learned. Not facts about the world; facts about the user. Update whenever you learn new operating patterns. Write It Down -- No Mental Notes Memory does not survive session restarts. Files do. Want to remember something -> WRITE IT TO A FILE. "Remember this" -> update $AGENT_HOME/memory/YYYY-MM-DD.md or the relevant entity file. Learn a lesson -> update AGENTS.md, TOOLS.md, or the relevant skill file. Make a mistake -> document it so future-you does not repeat it. On-disk text files are always better than holding it in temporary context. Memory Recall -- Use qmd Use qmd rather than grepping files: qmd query "what happened at Christmas" # Semantic search with reranking qmd search "specific phrase" # BM25 keyword search qmd vsearch "conceptual question" # Pure vector similarity Index your personal folder: qmd index $AGENT_HOME Vectors + BM25 + reranking finds things even when the wording differs. Planning Keep plans in timestamped files in plans/ at the project root (outside personal memory so other agents can access them). Use qmd to search plans. Plans go stale -- if a newer plan exists, do not confuse yourself with an older version. If you notice staleness, update the file to note what it is supersededBy.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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