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cog-braindump-capture

Capture raw thoughts with automatic domain classification and vault routing

الانتقال إلى التثبيت

معلومات المصدر

المستودع
a5c-ai/babysitter
آخر نشاط في المصدر
١ يونيو ٢٠٢٦ في ٠٧:٤٦
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
١٬٨١٣
التفرعات
١١١

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

مستكشف الملفات
2 ملفات

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
cog-braindump-capture
description
Capture raw thoughts with automatic domain classification and vault routing
allowed-tools
["file-read","file-write","file-search","git-commit"]
graph
{"domains":["domain:software-engineering"],"skillAreas":["skill-area:agentic-loops","skill-area:orchestration-loop"],"workflows":["workflow:feature-development"],"topics":["topic:developer-experience"],"roles":["role:tech-lead","role:backend-engineer"]}
- Classify content into personal, professional, and project-specific domains - Extract embedded URLs for separate processing - Route classified content to appropriate vault directories - Tag entries with metadata: date, domain, confidence, topics - Maintain strict domain separation (02-personal vs 03-professional) - Quality-gated capture with iterative refinement ## Tool Use Instructions 1. Use `file-read` to load user profile from 00-inbox for classification context 2. Classify content by domain using natural language analysis 3. Use `file-write` to create classified entries in appropriate vault directories 4. Use `file-search` to find related existing entries for cross-referencing 5. Use `file-write` to add cross-references to new and existing entries 6. Use `git-commit` to commit captured content ## Examples ```json { "vaultPath": "./cog-vault", "captureType": "braindump", "content": "Had a great idea about the auth system redesign. Also need to book vacation for July. The React 19 features look promising for our dashboard project.", "targetQuality": 80 } ```
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