bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Decompose any text into classified semantic units — authority, risk, attention, entities. No LLM. Deterministic.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install echology-io/decompose-mcp打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Decompose any text or URL into classified semantic units. Each unit gets authority level, risk category, attention score, entity extraction, and irreducibility flags. No LLM required. Deterministic. Runs locally.
pip install decompose-mcp
Add to your OpenClaw MCP config:
{
"mcpServers": {
"decompose": {
"command": "python3",
"args": ["-m", "decompose", "--serve"]
}
}
}
python3 -m decompose --text "The contractor shall provide all materials per ASTM C150-20."
decompose_textDecompose any text into classified semantic units.
Parameters:
text (required) — The text to decomposecompact (optional, default: false) — Omit zero-value fields for smaller outputchunk_size (optional, default: 2000) — Max characters per unitExample prompt: "Decompose this spec and tell me which sections are mandatory"
Returns: JSON with units array. Each unit contains:
authority — mandatory, prohibitive, directive, permissive, conditional, informationalrisk — safety_critical, security, compliance, financial, contractual, advisory, informationalattention — 0.0 to 10.0 priority scoreactionable — whether someone needs to act on thisirreducible — whether content must be preserved verbatimentities — referenced standards and codes (ASTM, ASCE, IBC, OSHA, etc.)dates — extracted date referencesfinancial — extracted dollar amounts and percentagesheading_path — document structure hierarchydecompose_urlFetch a URL and decompose its content. Handles HTML, Markdown, and plain text.
Parameters:
url (required) — URL to fetch and decomposecompact (optional, default: false) — Omit zero-value fieldsExample prompt: "Decompose https://spec.example.com/transport and show me the security requirements"
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Decompose
Decompose any text or URL into classified semantic units. Each unit gets authority level, risk category, attention score, entity extraction, and irreducibility flags. No LLM required. Deterministic. Runs locally.
## Setup
### 1. Install
```bash
pip install decompose-mcp
```
### 2. Configure MCP Server
Add to your OpenClaw MCP config:
```json
{
"mcpServers": {
"decompose": {
"command": "python3",
"args": ["-m", "decompose", "--serve"]
}
}
}
```
### 3. Verify
```bash
python3 -m decompose --text "The contractor shall provide all materials per ASTM C150-20."
```
## Available Tools
### `decompose_text`
Decompose any text into classified semantic units.
**Parameters:**
- `text` (required) — The text to decompose
- `compact` (optional, default: false) — Omit zero-value fields for smaller output
- `chunk_size` (optional, default: 2000) — Max characters per unit
**Example prompt:** "Decompose this spec and tell me which sections are mandatory"
**Returns:** JSON with `units` array. Each unit contains:
- `authority` — mandatory, prohibitive, directive, permissive, conditional, informational
- `risk` — safety_critical, security, compliance, financial, contractual, advisory, informational
- `attention` — 0.0 to 10.0 priority score
- `actionable` — whether someone needs to act on this
- `irreducible` — whether content must be preserved verbatim
- `entities` — referenced standards and codes (ASTM, ASCE, IBC, OSHA, etc.)
- `dates` — extracted date references
- `financial` — extracted dollar amounts and percentages
- `heading_path` — document structure hierarchy
### `decompose_url`
Fetch a URL and decompose its content. Handles HTML, Markdown, and plain text.
**Parameters:**
- `url` (required) — URL to fetch and decompose
- `compact` (optional, default: false) — Omit zero-value fields
**Example prompt:** "Decompose https://spec.example.com/transport and show me the security requirements"
## What It Detects
- **Authority levels...Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
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