LQF_Machine_Learning_E…
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling,…
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.
$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill digital-brain --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/digital-brainContext preview
The summary Claude sees to decide when to auto-load this skill.
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.
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
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 files are **append-only**. Never delete entries:
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
**Always read `identity/voice.md` before generating any content.**
Contains:
Pipeline: `ideas.jsonl` → `drafts/` → `posts.jsonl`
Personal CRM with relationship tiers:
Productivity 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**: 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.
**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.
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
This skill integrates context engineering principles:
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
Repo: foryourhealth111-pixel/Vibe-Skills
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