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braindumpbraindump 搜索

Agent Skill

braindump 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

282

周安装

12

GitHub Stars

374

下载量

99
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:braindump(braindump 搜索)
来源仓库:https://github.com/huytieu/cog-second-brain
仓库路径:skills/braindump
安装命令:
npx skills add https://github.com/huytieu/cog-second-brain --skill braindump
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/huytieu/cog-second-brain --skill braindump

简介

braindump 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装并使用该技能。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 建议结合来源仓库和原始 README 核验具体用法和功能细节。

SKILL.md

COG Braindump Skill

Purpose

Transform raw thoughts into strategic intelligence through quick capture, systematic analysis, pattern recognition, and domain-aware insight extraction with minimal user friction.

When to Invoke

  • User wants to capture stream-of-consciousness thoughts
  • User says "braindump", "brain dump", "capture thoughts", or "write down ideas"
  • User has ideas they want to quickly record
  • User mentions wanting to get thoughts out of their head

Agent Mode Awareness

Check agent_mode in 00-inbox/MY-PROFILE.md frontmatter:

  • If agent_mode: team — delegate research, analysis, and writing subtasks to specialist sub-agents (e.g., use Task tool to delegate deep analysis, competitive intel extraction, or pattern recognition to separate agents). Combine results before presenting to user.
  • If agent_mode: solo (default) — handle everything directly in the conversation. No delegation.

Pre-Flight Check

Before executing, check for user profile:

  1. Look for 00-inbox/MY-PROFILE.md in the vault
  2. If NOT found: Welcome to COG! It looks like this is your first time. Before we start, let's quickly set up your profile (takes 2 minutes). Would you like to run onboarding first, or should I proceed with default settings?
  3. If found:

- Read the profile to get user's name and active projects - If user has active projects listed, offer them as domain options - Use user's name for friendly communication - Read 03-professional/COMPETITIVE-WATCHLIST.md if it exists for competitive intelligence detection

Get current timestamp (REQUIRED before generating any files):

  1. Run date '+%Y-%m-%d %H:%M' using Bash to get the actual current date and time
  2. Store this value and use it for ALL timestamp fields (created: frontmatter AND filename HHMM component)
  3. NEVER guess or fabricate the time — always use the value returned by the date command

Process Flow

1. User Interaction & Input Collection

  • Greet user warmly (use their name from MY-PROFILE.md if available)
  • Ask: "What's on your mind?" or "Ready for a brain dump?"
  • Collect their stream-of-consciousness input (can be long, rambling, voice-to-text, etc.)
  • Accept any format - no judgment, no filtering

2. Domain Classification

Ask user to classify or auto-detect based on content:

If user profile exists with projects:

  • Personal: Individual growth, relationships, wellness
  • Professional: Work, leadership, career development
  • Project-Specific: Related to specific projects

- If MY-PROFILE.md lists projects, offer: "Which project? [list project names]" - Example: "Which project? (1) SaaS Product, (2) Book Writing, (3) Health App"

  • Mixed/Unclear: Spans multiple areas

If no profile: Use standard personal/professional/mixed classification

3. Content Analysis and Processing

Apply the comprehensive analysis framework directly:

Phase 1: Content Ingestion

Analyze the input to understand:

  • Content Type: [voice-transcript|written-notes|mixed]
  • Length: [word-count]
  • Energy Level: [high|medium|low]
  • Emotional Tone: [excited|frustrated|curious|concerned|neutral|mixed]
  • Context: [situational-background]

Phase 2: Structural Analysis

Extract and identify:

  • Main Themes: [3-5 primary topics]
  • Supporting Ideas: [related concepts and details]
  • Questions Raised: [explicit and implicit questions]
  • Decisions Contemplated: [choices being considered]
  • Action Items: [tasks and commitments identified]

Phase 3: Domain Classification (with confidence)

Determine:

  • Primary Domain: [personal|professional|project-specific] with confidence level
  • Secondary Domains: [if content spans multiple areas]
  • Cross-Domain Elements: [themes that apply across domains]
  • Privacy Considerations: [sensitive content requiring protection]

Phase 4: Strategic Insight Extraction

Identify:

  • Key Insights: [3-5 most important realizations]
  • Pattern Recognition: [connections to previous thoughts/decisions]
  • Strategic Implications: [what this means for goals and priorities]
  • Decision Framework: [how this informs future choices]

Phase 5: Competitive Intelligence Detection

If COMPETITIVE-WATCHLIST.md exists:

  • Scan braindump content for mentions of tracked companies/people
  • Extract competitive intelligence to separate files
  • Create cross-references back to original braindump

4. Generate Structured Output

Create braindump file with this structure:

---
type: "braindump"
domain: "[personal|professional|project-specific|mixed]"
project: "[project-name]" # Only if project-specific
date: "YYYY-MM-DD"
created: "YYYY-MM-DD HH:MM"
themes: ["theme1", "theme2", "theme3"]
tags: ["#braindump", "#raw-thoughts", "#domain-tag"]
status: "captured"
energy_level: "[high|medium|low]"
emotional_tone: "[primary-emotion]"
confidence: "[high|medium|low]"
---

# Braindump: [Auto-generated descriptive title]

## Raw Thoughts
[Original user content preserved exactly as provided]

## Content Analysis

### Main Themes
1. **Theme 1:** [description and significance]
2. **Theme 2:** [description and significance]
3. **Theme 3:** [description and significance]

### Supporting Ideas
- [Supporting concept 1]
- [Supporting concept 2]
- [Supporting concept 3]

### Questions Raised
- [Question 1 for deeper exploration]
- [Question 2 requiring consideration]

### Decisions Contemplated
- [Decision 1 being considered with options]
- [Decision 2 under evaluation]

## Strategic Intelligence

### Key Insights
1. **Insight 1:** [description and implications]
2. **Insight 2:** [description and implications]
3. **Insight 3:** [description and implications]

### Pattern Recognition
- **Connection to Previous Thinking:** [links to earlier braindumps or frameworks]
- **Recurring Patterns:** [themes that keep appearing]
- **Evolution:** [how thinking has developed]

### Strategic Implications
- [How this affects goals]
- [Impact on current projects]
- [Decision-making considerations]

## Action Items

**Note:** Calculate actual due dates from today's date and append Obsidian Tasks emoji format.

### Immediate (24-48 hours)
- [ ] [specific action] 📅 [YYYY-MM-DD = tomorrow's date]

### Short-term (1-2 weeks)
- [ ] [specific action] 📅 [YYYY-MM-DD = date +1 week from today]

### Strategic Considerations
- [longer-term implications and considerations]

## Connections
- **Related Braindumps:** [[link1]], [[link2]]
- **Relevant Projects:** [[project1]], [[project2]]
- **Knowledge Base:** [[insight1]], [[framework1]]

## Domain Classification
- **Primary Domain:** [domain] ([confidence]%)
- **Reasoning:** [why this classification]
- **Cross-Domain Elements:** [if applicable]
- **Privacy Level:** [public|private|confidential]

## Processing Notes
### Emotional Context
- **Energy Level:** [assessment]
- **Emotional Tone:** [assessment]
- **Implications:** [what this suggests]

### Confidence Assessment
- **Overall Analysis:** [percentage] - [reasoning]
- **Domain Classification:** [percentage] - [reasoning]
- **Strategic Insights:** [percentage] - [reasoning]
- **Areas Requiring Clarification:** [specific questions if needed]

---

*Processed by COG Brain Dump Analyst*

Save to appropriate location:

  • Personal: 02-personal/braindumps/braindump-YYYY-MM-DD-HHMM-<slug>.md
  • Professional: 03-professional/braindumps/braindump-YYYY-MM-DD-HHMM-<slug>.md
  • Project: 04-projects/[project-slug]/braindumps/braindump-YYYY-MM-DD-HHMM-<slug>.md
  • Mixed: 00-inbox/braindump-YYYY-MM-DD-HHMM-<slug>.md

5. Competitive Intelligence Extraction

If competitive intelligence detected (mentions of companies/people from watchlist):

Create/update: 04-projects/[project]/competitive/[company-slug].md

---
type: "competitive-intelligence"
company: "[Company Name]"
project: "[project-name]"
last_updated: "YYYY-MM-DD"
sources: ["braindump"]
tags: ["#competitive", "#intelligence", "#[company-slug]"]
---

# Competitive Intelligence: [Company Name]

## Latest Update - [Date]
**Source:** [[braindump-file-reference]]

[Extracted competitive intelligence from braindump]

## Previous Intelligence
[Historical intel from earlier braindumps]

## Strategic Implications
[Analysis of what this means for the project]

## Action Items
- [ ] [Follow-up actions based on intel] 📅 [YYYY-MM-DD = calculated due date]

---

*Auto-extracted by COG Brain Dump Analyst*

6. Confirm Completion

  • Confirm file was created
  • Show user: "Braindump saved to [file path]"
  • Show quick summary of main themes identified
  • If competitive intel extracted, mention: "Also extracted competitive intelligence to [file path]"

YAML Formatting Requirements

CRITICAL: All YAML frontmatter must use proper Obsidian-compatible formatting:

  • All string values MUST be quoted with double quotes
  • Arrays MUST use quoted strings: ["item1", "item2", "item3"]
  • Boolean values should NOT be quoted: true or false
  • Numbers should NOT be quoted unless they are string identifiers
  • Ensure proper YAML syntax to prevent parsing errors in Obsidian

Examples:

# CORRECT
type: "braindump"
themes: ["automation", "testing", "ui-improvements"]
analysis_needed: true

# INCORRECT
type: braindump
themes: [automation, testing, ui-improvements]
analysis_needed: "true"

Verification Protocols

Content Accuracy

  • Interpretation Verification: Confirm understanding matches intent
  • Context Validation: Ensure situational context is accurately captured
  • Emotional Accuracy: Verify emotional tone and energy level assessment
  • Completeness Check: Confirm all major themes are identified

Domain Classification Verification

  • Boundary Clarity: Ensure domain classification is clear and defensible
  • Privacy Protection: Verify personal content is properly protected
  • Cross-Domain Value: Confirm cross-domain insights are valuable and appropriate
  • Classification Confidence: State confidence level for domain assignments

Strategic Insight Validation

  • Evidence-Based: Ensure insights are supported by content evidence
  • Actionability: Verify recommendations are specific and implementable
  • Priority Accuracy: Confirm priority assessments align with stated goals
  • Timeline Realism: Ensure recommended timelines are achievable

Uncertainty Handling

When to Request Clarification

  • Ambiguous Domain Classification: Content could belong to multiple domains
  • Unclear Strategic Implications: Insights have multiple possible interpretations
  • Conflicting Information: Content contains contradictory elements
  • Missing Context: Important background information seems to be missing

Confidence Indicators

  • High Confidence (90%+): Clear content with obvious domain and implications
  • Medium Confidence (70-89%): Generally clear with some ambiguous elements
  • Low Confidence (50-69%): Significant ambiguity requiring user input
  • Very Low Confidence (<50%): Major uncertainty requiring clarification

Always explicitly state confidence levels and reasoning in the processing notes.

Integration with Other Skills

Immediate Follow-up

After braindump, suggest:

  • Review patterns across multiple braindumps
  • Weekly check-in to reflect on themes
  • Knowledge consolidation to build frameworks

Competitive Intelligence

If competitive mentions detected:

  • Automatically update competitive files
  • Mention this in the output
  • Provide link to competitive intelligence file

Success Metrics

  • Speed of capture (minimize user friction)
  • Accurate domain classification
  • File saved to correct location
  • User feels heard and understood
  • Competitive intel auto-extracted when relevant
  • High confidence in analysis accuracy

Learning and Adaptation

Pattern Learning

  • Learn user's thinking patterns and communication style
  • Understand user's specific domain separation preferences
  • Recognize what types of insights user finds most valuable
  • Learn which recommendations user typically implements

Continuous Improvement

  • Track accuracy of insights and recommendations over time
  • Monitor user engagement with and implementation of recommendations
  • Improve speed and accuracy of analysis through learning
  • Refine analysis frameworks based on effectiveness

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.98%
按下载量换算36

Claude

28.08%
按下载量换算28

Cursor

19.58%
按下载量换算19

Gemini CLI

10.08%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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