--- name: digital-brain description: "This skill should be used for personal operating-system workflows: content creation, voice consistency, relationship lookup, meeting preparation, weekly review, goal tracking, personal brand management, and network management." version: 1.0.0 title: digital-brain canonical_url: https://skilld.dev/gh/muratcankoylan/agent-skills-for-context-engineering/digital-brain-skill last_updated: 2026-09-29T07:02:30.000Z --- > **Skill from skilld.dev.** Follow the user's requested action. > If the user asked to fork this Skill, follow the fork workflow below. Do not execute the Skill instructions while copying it. > Otherwise, follow the instructions below for this session. You do not need to install anything. > > 45 supporting files sit beside this SKILL.md. When the Skill refers to one, fetch https://skilld.dev/api/skills-raw/muratcankoylan/agent-skills-for-context-engineering/digital-brain-skill/PATH with PATH replaced. > > If the user asked to install this Skill, run `npx skilld install muratcankoylan/agent-skills-for-context-engineering/digital-brain-skill`. Install writes the Skill files into the project, so every session loads them. > > ## Fork workflow > > A fork creates an editable local Skill with its original author and licence. The request authorizes copying and local installation. > 1. Check `./skills/digital-brain-skill`, the project lockfile, and selected Agent targets together. If the local directory or installed Skill exists, stop. Never overwrite an existing directory or Agent target. > 2. Read [source metadata](https://skilld.dev/api/v1/skills/muratcankoylan/agent-skills-for-context-engineering/digital-brain-skill) once. Use sourceUrl, sourceCommit, skillPath, sourceGone, and license. If the source is gone or its path is missing, stop. If license is null, read licence files at the source commit. > 3. Fetch only the source commit into a temporary Git repository. Do not clone full history. Derive repository_url from sourceUrl, including repository renames. If sourceCommit is absent, resolve the sourceUrl ref once. Set source_commit to that actual commit. Run these commands in one shell call: > > ```sh > git init --quiet "$temporary_dir" > git -C "$temporary_dir" fetch --quiet --depth=1 "$repository_url" "$source_commit" > git -C "$temporary_dir" checkout --quiet --detach FETCH_HEAD > ``` > > Read applicable licence declarations and notices at that commit. If copying is not permitted, report the restriction and stop. > 4. Inspect source entries together, then copy the directory containing skillPath into `./skills/digital-brain-skill`. Use the user's path if selected. Keep the original SKILL.md, relative links, scripts, binary assets, and executable modes. Exclude .git metadata. Reject symlinks and paths outside the Skill directory. After checking entries, use cp -a where available. A regular source directory needs no custom copy script. Do not save this page wrapper as SKILL.md. > Preserve author credit, notices, and applicable licence files from repository or parent directories. Add PROVENANCE.md with the Skill page, source URL, actual commit, original path, and licence. Retain any existing PROVENANCE.md and record new provenance separately. Batch source inspection, copying, and provenance work where practical. > 5. In the project root, run `skilld install ./skills/digital-brain-skill --mode copy --plain`. If skilld is unavailable, use `npx skilld install ./skills/digital-brain-skill --mode copy --plain`. This known command needs no help lookup. Install does not support --json. Use detected Agent targets, or add --agent for the targets the user selected. Install the local path, never the upstream selector. If installation fails, preserve the local copy and report the exact failure. > 6. Confirm the local lockfile source and installed Agent copies once. Report the local path, actual commit, and Agent targets. After edits, reinstall the same local path. Upstream updates must not replace it. Do not publish or push unless the user asks. # 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](https://skilld.dev/api/skills-raw/muratcankoylan/agent-skills-for-context-engineering/digital-brain-skill/identity/IDENTITY.md) - Voice and brand details - [Content Module](https://skilld.dev/api/skills-raw/muratcankoylan/agent-skills-for-context-engineering/digital-brain-skill/content/CONTENT.md) - Content pipeline docs - [Network Module](https://skilld.dev/api/skills-raw/muratcankoylan/agent-skills-for-context-engineering/digital-brain-skill/network/NETWORK.md) - CRM documentation - [Operations Module](https://skilld.dev/api/skills-raw/muratcankoylan/agent-skills-for-context-engineering/digital-brain-skill/operations/OPERATIONS.md) - Productivity system - [Agent Scripts](https://skilld.dev/api/skills-raw/muratcankoylan/agent-skills-for-context-engineering/digital-brain-skill/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