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data-flow
by SimHacker
MOOLLM
⭐ 8🍴 2📅 Jan 24, 2026
SKILL.md
name: data-flow description: Rooms as pipeline nodes, exits as edges, objects as messages allowed-tools:
- read_file
- write_file
- run_terminal_cmd tier: 2 protocol: DATA-FLOW tags: [moollm, pipeline, processing, kilroy, messaging] related: [room, card, sister-script, coherence-engine]
Data Flow
"Rooms are nodes. Exits are edges. Thrown objects are messages."
MOOLLM's approach to building processing pipelines using rooms and objects. The filesystem IS the data flow network.
The Pattern
- Rooms are processing stages (nodes)
- Exits connect stages (edges)
- Objects flow through as messages
- THROW sends objects through exits
- INBOX receives incoming objects
- OUTBOX stages outgoing objects
Commands
| Command | Effect |
|---|---|
THROW obj exit | Send object through exit to destination |
INBOX | List items waiting to be processed |
NEXT | Get next item from inbox (FIFO) |
PEEK | Look at next item without removing |
STAGE obj exit | Add object to outbox for later throw |
FLUSH | Throw all staged objects |
FLUSH exit | Throw staged objects for specific exit |
Room Structure
stage/
├── ROOM.yml # Config and processor definition
├── inbox/ # Incoming queue (FIFO)
├── outbox/ # Staged for batch throwing
└── door-next/ # Exit to next stage
Processor Types
Script (Deterministic)
processor:
type: script
command: "python parse.py ${input}"
LLM (Semantic)
processor:
type: llm
prompt: |
Analyze this document:
- Extract key entities
- Summarize in 3 sentences
Hybrid
processor:
type: hybrid
pre_process: "extract.py ${input}"
llm_prompt: "Analyze extracted data"
post_process: "format.py ${output}"
Mix and match. LLM for reasoning, scripts for transformation.
Example Pipeline
uploads/ # Raw files land here
├── inbox/
│ ├── doc-001.pdf
│ └── doc-002.pdf
└── door-parser/
parser/ # Extract text
├── script: parse.py
└── door-analyzer/
analyzer/ # LLM analyzes
├── prompt: "Summarize..."
├── door-output/
└── door-errors/
output/ # Final results
└── inbox/
├── doc-001-summary.yml
└── doc-002-summary.yml
Processing Loop
> ENTER parser
Inbox: 2 items waiting.
> NEXT
Processing doc-001.pdf...
Text extracted.
> STAGE doc-001.txt door-analyzer
Staged.
> FLUSH
Throwing 2 items through door-analyzer...
Fan-Out (one-to-many)
routing_rules:
- if: "priority == 'high'"
throw_to: door-fast-track
- if: "type == 'archive'"
throw_to: door-archive
- default: door-standard
Fan-In (many-to-one)
batch_size: 10
on_batch_complete: |
Combine all results
Generate summary report
THROW report.yml door-output
Kilroy Mapping
| MOOLLM | Kilroy |
|---|---|
| Room | Node |
| Exit | Edge |
| THROW | Message passing |
| inbox/ | Input queue |
| Script processor | Deterministic module |
| LLM processor | LLM node |
Score
Total Score
60/100
Based on repository quality metrics
✓SKILL.md
SKILL.mdファイルが含まれている
+20
✓LICENSE
ライセンスが設定されている
+10
○説明文
100文字以上の説明がある
0/10
○人気
GitHub Stars 100以上
0/15
○最近の活動
3ヶ月以内に更新がある
0/10
○フォーク
10回以上フォークされている
0/5
✓Issue管理
オープンIssueが50未満
+5
✓言語
プログラミング言語が設定されている
+5
○タグ
1つ以上のタグが設定されている
0/5
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