菜单
Turns Draft Editor work-log entries marked ingest=true into durable knowledge: append to a digest markdown file and re-run meta-layer graph ingest. Use for weekly sweeps, habit capture follow-up, or when the user says to process the work log / ingest links from the calendar.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Generate multi-lens narratives for Bride of Charlie from structured data (episodes, claims, graph, social threads); support claim-constraint relaxation for alternate tellings; align book-app chat with meta-layer sources. Use when authoring BOC stories, book-app copy, or enabling others to narrate from the same evidence base.
Plans and operates Discord for Pacha (family-safe, slate/community) and Meta-Layer (governance, DPs, gov hub handoffs): channel maps, mod norms, escalation, announcements, and what belongs in Discord vs GitHub. Use when the user mentions Discord, server setup, moderation, Pacha Discord, meta-layer Discord, community rules, or bot/workflow hooks for servers.
Drafts Desirable Property text and inscription-ready variants from app.themetalayer.org DP sources, applying the full meta-layer lens. Saves outputs to the agent-lab Draft Editor via save_draft when available. Produces article-first or video-first companion assets and CTAs for comments and supporting/opposing artifacts. Use when working on DP drafts, on-chain inscription text, gov hub copy, meta-layer properties, Draft Editor, or "draft DPn / desirable property / inscription."
Ingest documents from Google Drive into the meta-layer knowledge graph. Converts Word docs, PDFs, and Google Docs to structured knowledge, extracts concepts, and adds to Neo4j. Use when the user wants to process Drive documents, mentions "ingest from Drive", "add Drive docs to graph", or needs to organize Google Drive content into their knowledge base.
Organize Google Drive documents using meta-layer concepts and knowledge graph relationships. Auto-categorizes documents, creates folder structures, generates knowledge maps, and maintains semantic organization. Use when user wants to "organize Drive by concepts", "restructure Drive folders", "categorize documents", or "create knowledge-based Drive organization".
Monitor Google Drive folders for new or updated documents and automatically trigger ingestion workflows. Sets up webhooks and polling to detect changes. Use when user wants to "watch Drive for changes", "auto-ingest new documents", "monitor Drive folder", or set up automated document processing.
| name | work-log-ingestion |
| description | Turns Draft Editor work-log entries marked ingest=true into durable knowledge: append to a digest markdown file and re-run meta-layer graph ingest. Use for weekly sweeps, habit capture follow-up, or when the user says to process the work log / ingest links from the calendar. |
data/master_calendar.json → array work_logingest: true)Entries may include text, status (started / finished / note), attachments (URLs or paths), ingest (boolean; default true on create).
From agent-lab root:
uv run python scripts/sweep-work-log-ingest.py
This script:
work_log from data/master_calendar.jsoningest: falseknowledge/work_log_digest.md (matched by <!-- wl-id:{id} --> markers)## headings so ingest-meta-layer-knowledge can chunk themAfter the sweep, load chunks into Neo4j (same pipeline as other knowledge markdown):
uv run --project framework/deer-flow/backend python scripts/ingest-meta-layer-knowledge.py --file knowledge/work_log_digest.md
If the digest is new or large, a full knowledge run also picks it up when listed in the script’s default file set (see ingest-meta-layer-knowledge.py).
finished entries into JAUmemory remember (decisions, patterns).id—the sweep script guards with HTML comments.