fabric
Pattern-based analysis using Fabric's 242+ specialized prompts for summarizing papers and extracting insights
Skill by lamm-mit
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/lamm-mit-fabric
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/fabric
What's inside
- Skill name
fabric- Description
- Pattern-based analysis using Fabric's 242+ specialized prompts for summarizing papers and extracting insights
- License
- Apache-2.0
- Instructions
- 53 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- metadata: must be a key/value mapping
Files (3)
- SKILL.md
- fabric_run.cpython-313.pyc · scripts/__pycache__/
- fabric_run.py · scripts/
SKILL.md (first lines)
## Overview
Pattern-based analysis framework with 242+ specialized prompts (Fabric patterns) for summarizing papers, extracting insights, threat modeling, and content analysis. Executes Fabric CLI patterns against text input or file content for rapid structured analysis.
Fabric patterns are expert-crafted prompts that produce consistently structured outputs. Scientific patterns include: `summarize`, `extract_wisdom`, `extract_insights`, `analyze_paper`, `create_summary`, `extract_main_idea`, and many more.
## Usage
```bash
# Summarize a scientific paper (paste text as input)
python3 skills/fabric/scripts/fabric_run.py \
--pattern summarize \
--input "Full paper text here..."
# Extract key insights from a paper
python3 skills/fabric/scripts/fabric_run.py \
--pattern extract_wisdom \
--input /path/to/paper.txt
# List all available patterns
python3 skills/fabric/scripts/fabric_run.py \
--pattern summarize \
--input "" \
--list-patterns
# Analyze a research paper for key contributions
python3 skills/fabric/scripts/fabric_run.py \
--pattern analyze_paper \
--input "Abstract: We present a novel CRISPR delivery method..."
```
## Output Format
```json
{
"pattern": "extract_wisdom",
"output": "# SUMMARY\n\nThe paper presents...\n\n# IDEAS\n\n- Key insight 1\n- Key insight 2\n\n# QUOTES\n...",
"status": "success"
}
```
## Setup
Install Fabric:
```bash
go install github.com/danielmiessler/fabric@latest
# or
pip install fabric-ai
```
Without Fabric installed, the tool lists available scientific patterns and provides guidance.From lamm-mit/scienceclaw, Apache-2.0.
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Signals
- Stars
- 250
- Forks
- 47
- Open issues
- 1
- Last commit (this folder)
- Mar 14, 2026 (7 months ago)
- Last release
- Jun 23, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/lamm-mit/scienceclaw
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
fabric skill. Agent Mart. https://agentmart.dev/skills/lamm-mit-fabric (last updated 2026-10-24)