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Designed for founders building in public, content creators growing their audience, and tech-savvy professionals seeking AI-assisted personal management.\n\n**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.\n\n## When to Activate\n\nActivate this skill when the user:\n\n- Requests content creation (posts, threads, newsletters) - load identity\u002Fvoice.md first\n- Asks for help with personal brand or positioning\n- Needs to look up or manage contacts\u002Frelationships\n- Wants to capture or develop content ideas\n- Requests meeting preparation or follow-up\n- Asks for weekly reviews or goal tracking\n- Needs to save or retrieve bookmarked resources\n- Wants to organize research or learning materials\n\n**Trigger phrases**: \"write a post\", \"my voice\", \"content ideas\", \"who is [name]\", \"prepare for meeting\", \"weekly review\", \"save this\", \"my goals\"\n\n## Core Concepts\n\n### Progressive Disclosure Architecture\n\nThe Digital Brain follows a three-level loading pattern:\n\n| Level | When Loaded | Content |\n|-------|-------------|---------|\n| **L1: Metadata** | Always | This SKILL.md overview |\n| **L2: Module Instructions** | On-demand | `[module]\u002F[MODULE].md` files |\n| **L3: Data Files** | As-needed | `.jsonl`, `.yaml`, `.md` data |\n\n### File Format Strategy\n\nFormats chosen for optimal agent parsing:\n\n- **JSONL** (`.jsonl`): Append-only logs - ideas, posts, contacts, interactions\n- **YAML** (`.yaml`): Structured configs - goals, values, circles\n- **Markdown** (`.md`): Narrative content - voice, brand, calendar, todos\n- **XML** (`.xml`): Complex prompts - content generation templates\n\n### Append-Only Data Integrity\n\nJSONL files are **append-only**. Never delete entries:\n- Mark as `\"status\": \"archived\"` instead of deleting\n- Preserves history for pattern analysis\n- Enables \"what worked\" retrospectives\n\n## Detailed Topics\n\n### Module Overview\n\n```\ndigital-brain\u002F\n├── identity\u002F     → Voice, brand, values (READ FIRST for content)\n├── content\u002F      → Ideas, drafts, posts, calendar\n├── knowledge\u002F    → Bookmarks, research, learning\n├── network\u002F      → Contacts, interactions, intros\n├── operations\u002F   → Todos, goals, meetings, metrics\n└── agents\u002F       → Automation scripts\n```\n\n### Identity Module (Critical for Content)\n\n**Always read `identity\u002Fvoice.md` before generating any content.**\n\nContains:\n- `voice.md` - Tone, style, vocabulary, patterns\n- `brand.md` - Positioning, audience, content pillars\n- `values.yaml` - Core beliefs and principles\n- `bio-variants.md` - Platform-specific bios\n- `prompts\u002F` - Reusable generation templates\n\n### Content Module\n\nPipeline: `ideas.jsonl` → `drafts\u002F` → `posts.jsonl`\n\n- Capture ideas immediately to `ideas.jsonl`\n- Develop in `drafts\u002F` using `templates\u002F`\n- Log published content to `posts.jsonl` with metrics\n- Plan in `calendar.md`\n\n### Network Module\n\nPersonal CRM with relationship tiers:\n- `inner` - Weekly touchpoints\n- `active` - Bi-weekly touchpoints\n- `network` - Monthly touchpoints\n- `dormant` - Quarterly reactivation checks\n\n### Operations Module\n\nProductivity system with priority levels:\n- P0: Do today, blocking\n- P1: This week, important\n- P2: This month, valuable\n- P3: Backlog, nice to have\n\n## Practical Guidance\n\n### Content Creation Workflow\n\n```\n1. Read identity\u002Fvoice.md (REQUIRED)\n2. Check identity\u002Fbrand.md for topic alignment\n3. Reference content\u002Fposts.jsonl for successful patterns\n4. Use content\u002Ftemplates\u002F as starting structure\n5. Draft matching voice attributes\n6. Log to posts.jsonl after publishing\n```\n\n### Pre-Meeting Preparation\n\n```\n1. Look up contact: network\u002Fcontacts.jsonl\n2. Get history: network\u002Finteractions.jsonl\n3. Check pending: operations\u002Ftodos.md\n4. Generate brief with context\n```\n\n### Weekly Review Process\n\n```\n1. Run: python agents\u002Fscripts\u002Fweekly_review.py\n2. Review metrics in operations\u002Fmetrics.jsonl\n3. Check stale contacts: agents\u002Fscripts\u002Fstale_contacts.py\n4. Update goals progress in operations\u002Fgoals.yaml\n5. Plan next week in content\u002Fcalendar.md\n```\n\n## Examples\n\n### Example: Writing an X Post\n\n**Input**: \"Help me write a post about AI agents\"\n\n**Process**:\n1. Read `identity\u002Fvoice.md` → Extract voice attributes\n2. Check `identity\u002Fbrand.md` → Confirm \"ai_agents\" is a content pillar\n3. Reference `content\u002Fposts.jsonl` → Find similar successful posts\n4. Draft post matching voice patterns\n5. Suggest adding to `content\u002Fideas.jsonl` if not publishing immediately\n\n**Output**: Post draft in user's authentic voice with platform-appropriate format.\n\n### Example: Contact Lookup\n\n**Input**: \"Prepare me for my call with Sarah Chen\"\n\n**Process**:\n1. Search `network\u002Fcontacts.jsonl` for \"Sarah Chen\"\n2. Get recent entries from `network\u002Finteractions.jsonl`\n3. Check `operations\u002Ftodos.md` for pending items with Sarah\n4. Compile brief: role, context, last discussed, follow-ups\n\n**Output**: Pre-meeting brief with relationship context.\n\n## Guidelines\n\n1. **Voice First**: Always read `identity\u002Fvoice.md` before any content generation\n2. **Append Only**: Never delete from JSONL files - archive instead\n3. **Update Timestamps**: Set `updated` field when modifying tracked data\n4. **Cross-Reference**: Knowledge informs content, network informs operations\n5. **Log Interactions**: Always log meetings\u002Fcalls to `interactions.jsonl`\n6. **Preserve History**: Past content in `posts.jsonl` informs future performance\n\n## Integration\n\nThis skill integrates context engineering principles:\n\n- **context-fundamentals** - Progressive disclosure, attention budget management\n- **memory-systems** - JSONL for persistent memory, structured recall\n- **tool-design** - Scripts in `agents\u002Fscripts\u002F` follow tool design principles\n- **context-optimization** - Module separation prevents context bloat\n\n## References\n\nInternal references:\n- [Identity Module](.\u002Fidentity\u002FIDENTITY.md) - Voice and brand details\n- [Content Module](.\u002Fcontent\u002FCONTENT.md) - Content pipeline docs\n- [Network Module](.\u002Fnetwork\u002FNETWORK.md) - CRM documentation\n- [Operations Module](.\u002Foperations\u002FOPERATIONS.md) - Productivity system\n- [Agent Scripts](.\u002Fagents\u002FAGENTS.md) - Automation documentation\n\nExternal resources:\n- [Agent Skills for Context Engineering](https:\u002F\u002Fgithub.com\u002Fmuratcankoylan\u002FAgent-Skills-for-Context-Engineering)\n- [Anthropic Context Engineering Guide](https:\u002F\u002Fwww.anthropic.com\u002Fengineering\u002Feffective-context-engineering-for-ai-agents)\n\n---\n\n## Skill Metadata\n\n**Created**: 2024-12-29\n**Last Updated**: 2024-12-29\n**Author**: Murat Can Koylan\n**Version**: 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