
note-taker
by tao3k
WIP-designed to bridge the gap between human intent and machine execution. Built on a robust Tri-MCP architecture, it physically separates cognitive planning (The Brain), atomic execution (The Hands), and surgical coding (The Pen) to ensure context hygiene and safety.
SKILL.md
=== Omni-Dev Fusion Skill Manifest ===
name: note_taker version: 1.0.0 description: Persistent memory system for summarizing sessions and managing knowledge - The Scribe's Ledger authors: ["omni-dev-fusion"] license: Apache-2.0 execution_mode: library routing_strategy: keyword routing_keywords: ["note", "remember", "summary", "knowledge", "memory", "learn", "capture"] intents:
- "Take notes during session"
- "Summarize conversation"
- "Save important information"
- "Recall knowledge from notes"
Note Taker Skill
Purpose
The Scribe's Ledger enables the agent to maintain persistent memory across sessions by:
- Capturing - Recording session trajectories, decisions, and outcomes
- Summarizing - Extracting key insights from execution traces
- Retrieving - Loading relevant past knowledge for new tasks
- Pattern Mining - Identifying reusable solutions and anti-patterns
System Prompt Additions
When this skill is active, add these guidelines to the LLM context:
# Note Taker Guidelines
When working with knowledge management:
- Use `note_taker.summarize_session` to capture completed work before switching contexts
- Use `note_taker.update_knowledge_base` to save discovered patterns and solutions
- Use `note_taker.search_notes` to recall past approaches before reinventing
- Always record:
- Key decision points and rationale
- Failed approaches and why they failed
- Final working solution and its context
- Files modified and their purpose
Commands
| Command | Description |
|---|---|
note_taker.summarize_session | Summarize current session into markdown notes |
note_taker.update_knowledge_base | Save extracted knowledge for future retrieval |
note_taker.search_notes | Search existing notes and knowledge |
note_taker.extract_patterns | Identify reusable patterns from sessions |
Key Directories
| Directory | Purpose |
|---|---|
.data/knowledge/sessions/ | Session summaries (auto-generated, git-ignored) |
assets/knowledge/harvested/ | Extracted reusable knowledge |
assets/knowledge/patterns/ | Identified patterns and anti-patterns |
Related Documentation
- CCA Paper - Cognitive Scaffolding Architecture
- Skills Documentation - Comprehensive skill guide
Score
Total Score
Based on repository quality metrics
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
1ヶ月以内に更新
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
Reviews
Reviews coming soon


