菜单
This skill should be used when the user asks to "write a post", "check my voice", "look up contact", "prepare for meeting", "weekly review", "track goals", or mentions personal brand, content creation, network management, or voice consistency.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
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。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/rawwerks/Agent-Skills-for-Context-Engineering-compliant --skill digital-brain-skill命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
This skill should be used when the user asks to "fine-tune on books", "create SFT dataset", "train style model", "extract ePub text", or mentions style transfer, LoRA training, book segmentation, or author voice replication.
Production-grade techniques for evaluating LLM outputs using LLMs as judges. Use when implementing LLM-as-judge, comparing model outputs, creating evaluation rubrics, mitigating evaluation bias, or building automated quality assessment pipelines.
基于 SOC 职业分类
正在显示 SKILL.md
| name | digital-brain-skill |
| description | This skill should be used when the user asks to "write a post", "check my voice", "look up contact", "prepare for meeting", "weekly review", "track goals", or mentions personal brand, content creation, network management, or voice consistency. |
A structured personal operating system for managing digital presence, knowledge, relationships, and goals with AI assistance. Designed for founders building in public, content creators growing their audience, and tech-savvy professionals seeking AI-assisted personal management.
Important: This skill uses progressive disclosure. Module-specific instructions are in each subdirectory's .md file. Only load what's needed for the current task.
Activate this skill when the user:
Trigger phrases: "write a post", "my voice", "content ideas", "who is [name]", "prepare for meeting", "weekly review", "save this", "my goals"
The Digital Brain follows a three-level loading pattern:
| Level | When Loaded | Content |
|---|---|---|
| L1: Metadata | Always | This SKILL.md overview |
| L2: Module Instructions | On-demand | [module]/[MODULE].md files |
| L3: Data Files | As-needed | .jsonl, .yaml, .md data |
Formats chosen for optimal agent parsing:
.jsonl): Append-only logs - ideas, posts, contacts, interactions.yaml): Structured configs - goals, values, circles.md): Narrative content - voice, brand, calendar, todos.xml): Complex prompts - content generation templatesJSONL files are append-only. Never delete entries:
"status": "archived" instead of deletingdigital-brain/
├── identity/ → Voice, brand, values (READ FIRST for content)
├── content/ → Ideas, drafts, posts, calendar
├── knowledge/ → Bookmarks, research, learning
├── network/ → Contacts, interactions, intros
├── operations/ → Todos, goals, meetings, metrics
└── agents/ → Automation scripts
Always read identity/voice.md before generating any content.
Contains:
voice.md - Tone, style, vocabulary, patternsbrand.md - Positioning, audience, content pillarsvalues.yaml - Core beliefs and principlesbio-variants.md - Platform-specific biosprompts/ - Reusable generation templatesPipeline: ideas.jsonl → drafts/ → posts.jsonl
ideas.jsonldrafts/ using templates/posts.jsonl with metricscalendar.mdPersonal CRM with relationship tiers:
inner - Weekly touchpointsactive - Bi-weekly touchpointsnetwork - Monthly touchpointsdormant - Quarterly reactivation checksProductivity system with priority levels:
1. Read identity/voice.md (REQUIRED)
2. Check identity/brand.md for topic alignment
3. Reference content/posts.jsonl for successful patterns
4. Use content/templates/ as starting structure
5. Draft matching voice attributes
6. Log to posts.jsonl after publishing
1. Look up contact: network/contacts.jsonl
2. Get history: network/interactions.jsonl
3. Check pending: operations/todos.md
4. Generate brief with context
1. Run: python agents/scripts/weekly_review.py
2. Review metrics in operations/metrics.jsonl
3. Check stale contacts: agents/scripts/stale_contacts.py
4. Update goals progress in operations/goals.yaml
5. Plan next week in content/calendar.md
Input: "Help me write a post about AI agents"
Process:
identity/voice.md → Extract voice attributesidentity/brand.md → Confirm "ai_agents" is a content pillarcontent/posts.jsonl → Find similar successful postscontent/ideas.jsonl if not publishing immediatelyOutput: Post draft in user's authentic voice with platform-appropriate format.
Input: "Prepare me for my call with Sarah Chen"
Process:
network/contacts.jsonl for "Sarah Chen"network/interactions.jsonloperations/todos.md for pending items with SarahOutput: Pre-meeting brief with relationship context.
identity/voice.md before any content generationupdated field when modifying tracked datainteractions.jsonlposts.jsonl informs future performanceThis skill integrates context engineering principles:
agents/scripts/ follow tool design principlesInternal references:
External resources:
Created: 2024-12-29 Last Updated: 2024-12-29 Author: Murat Can Koylan Version: 1.0.0