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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 キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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.skill ファイルの system_prompt フィールドの実際の内容。
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 Supersede instead ( status: superseded , add superseded_by ).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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フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
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.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
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