— name: digital-brain 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. version: 1.0.0 — # Digital Brain 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. ## When to Activate Activate this skill when the user: – Requests content creation (posts, threads, newsletters) – load identity/voice.md first – Asks for help with personal brand or positioning – Needs to look up or manage contacts/relationships – Wants to capture or develop content ideas – Requests meeting preparation or follow-up – Asks for weekly reviews or goal tracking – Needs to save or retrieve bookmarked resources – Wants to organize research or learning materials **Trigger phrases**: "write a post", "my voice", "content ideas", "who is [name]", "prepare for meeting", "weekly review", "save this", "my goals" ## Core Concepts ### Progressive Disclosure Architecture 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 | ### File Format Strategy Formats chosen for optimal agent parsing: – **JSONL** (`.jsonl`): Append-only logs – ideas, posts, contacts, interactions – **YAML** (`.yaml`): Structured configs – goals, values, circles – **Markdown** (`.md`): Narrative content – voice, brand, calendar, todos – **XML** (`.xml`): Complex prompts – content generation templates ### Append-Only Data Integrity JSONL files are **append-only**. Never delete entries: – Mark as `"status": "archived"` instead of deleting – Preserves history for pattern analysis – Enables "what worked" retrospectives ## Detailed Topics ### Module Overview “` digital-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 “` ### Identity Module (Critical for Content) **Always read `identity/voice.md` before generating any content.** Contains: – `voice.md` – Tone, style, vocabulary, patterns – `brand.md` – Positioning, audience, content pillars – `values.yaml` – Core beliefs and principles – `bio-variants.md` – Platform-specific bios – `prompts/` – Reusable generation templates ### Content Module Pipeline: `ideas.jsonl` → `drafts/` → `posts.jsonl` – Capture ideas immediately to `ideas.jsonl` – Develop in `drafts/` using `templates/` – Log published content to `posts.jsonl` with metrics – Plan in `calendar.md` ### Network Module Personal CRM with relationship tiers: – `inner` – Weekly touchpoints – `active` – Bi-weekly touchpoints – `network` – Monthly touchpoints – `dormant` – Quarterly reactivation checks ### Operations Module Productivity system with priority levels: – P0: Do today, blocking – P1: This week, important – P2: This month, valuable – P3: Backlog, nice to have ## Practical Guidance ### Content Creation Workflow “` 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 “` ### Pre-Meeting Preparation “` 1. Look up contact: network/contacts.jsonl 2. Get history: network/interactions.jsonl 3. Check pending: operations/todos.md 4. Generate brief with context “` ### Weekly Review Process “` 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 “` ## Examples ### Example: Writing an X Post **Input**: "Help me write a post about AI agents" **Process**: 1. Read `identity/voice.md` → Extract voice attributes 2. Check `identity/brand.md` → Confirm "ai_agents" is a content pillar 3. Reference `content/posts.jsonl` → Find similar successful posts 4. Draft post matching voice patterns 5. Suggest adding to `content/ideas.jsonl` if not publishing immediately **Output**: Post draft in user's authentic voice with platform-appropriate format. ### Example: Contact Lookup **Input**: "Prepare me for my call with Sarah Chen" **Process**: 1. Search `network/contacts.jsonl` for "Sarah Chen" 2. Get recent entries from `network/interactions.jsonl` 3. Check `operations/todos.md` for pending items with Sarah 4. Compile brief: role, context, last discussed, follow-ups **Output**: Pre-meeting brief with relationship context. ## Guidelines 1. **Voice First**: Always read `identity/voice.md` before any content generation 2. **Append Only**: Never delete from JSONL files – archive instead 3. **Update Timestamps**: Set `updated` field when modifying tracked data 4. **Cross-Reference**: Knowledge informs content, network informs operations 5. **Log Interactions**: Always log meetings/calls to `interactions.jsonl` 6. **Preserve History**: Past content in `posts.jsonl` informs future performance ## Integration This skill integrates context engineering principles: – **context-fundamentals** – Progressive disclosure, attention budget management – **memory-systems** – JSONL for persistent memory, structured recall – **tool-design** – Scripts in `agents/scripts/` follow tool design principles – **context-optimization** – Module separation prevents context bloat ## References Internal references: – [Identity Module](./identity/IDENTITY.md) – Voice and brand details – [Content Module](./content/CONTENT.md) – Content pipeline docs – [Network Module](./network/NETWORK.md) – CRM documentation – [Operations Module](./operations/OPERATIONS.md) – Productivity system – [Agent Scripts](./agents/AGENTS.md) – Automation documentation External resources: – [Agent Skills for Context Engineering](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering) – [Anthropic Context Engineering Guide](https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents) — ## Skill Metadata **Created**: 2024-12-29 **Last Updated**: 2024-12-29 **Author**: Murat Can Koylan **Version**: 1.0.0