菜单
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.
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/muratcankoylan/Agent-Skills-for-Context-Engineering --skill digital-brain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, harness engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, evaluating, or debugging agent systems that require effective context management and reliable operating loops.
This skill should be used for project-level decisions about LLM-powered systems: whether an LLM is the right primitive for the task at hand, the shape of a multi-stage batch or agent pipeline, token and cost estimation, choosing between single-agent and multi-agent at the project level, structured output design for downstream parsing, and structuring agent-assisted iteration. Use this when the unit of work is a whole project or a multi-stage pipeline. Route individual tool design to tool-design and individual skill-loading or context-budget tactics to context-optimization.
This skill should be used when writing, enhancing, or evaluating the launch prompt for a long-running autonomous agent or a parallel multi-agent orchestration attacking a hard problem: pseudo-formal task briefs that define terms and an exact success predicate linguistically, enumerate non-counting outcomes, set persistence rules with explicit stop and return conditions and effort floors, manage a diverse portfolio of parallel approaches with an approach registry and blocked-route bookkeeping, and gate the return on adversarial audit. Route agent topology and coordination protocols to multi-agent-patterns, runtime control surfaces and loop governance to harness-engineering, evaluator and quality-gate construction to evaluation, judge design to advanced-evaluation, and compaction or memory mechanics to context-compression and memory-systems.
基于 SOC 职业分类
正在显示 SKILL.md
| 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 |
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