Golang Patterns
affaan-m/ECC
Go-specific design patterns and best practices including functional options, small interfaces, dependency injection, concurrency patterns, error handling, and package organization.
Pattern-based analysis using Fabric's 242+ specialized prompts for summarizing papers and extracting insights
$ npx skills add lamm-mit/scienceclaw --skill fabric -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lamm-mit/scienceclaw fabric --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fabric .claude/skills/fabric && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "fabric" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/fabric into .claude/skills/fabric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fabric", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lamm-mit/scienceclaw/tree/main/skills/fabricType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lamm-mit/scienceclaw --skill fabric -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lamm-mit/scienceclaw fabric --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/fabric .agents/skills/fabric && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fabric" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/fabric into .agents/skills/fabric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fabric", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lamm-mit/scienceclaw --skill fabric -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lamm-mit/scienceclaw fabric --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/fabric .cursor/skills/fabric && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "fabric" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/fabric into .cursor/skills/fabric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fabric", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lamm-mit/scienceclaw.git --path skills/fabric--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lamm-mit/scienceclaw --skill fabric -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lamm-mit/scienceclaw fabric --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/fabric .gemini/skills/fabric && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "fabric" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/fabric into .gemini/skills/fabric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fabric", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lamm-mit/scienceclaw fabricInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lamm-mit/scienceclaw --skill fabric -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/fabric .github/skills/fabric && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "fabric" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/fabric into .github/skills/fabric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fabric", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lamm-mit/scienceclaw --skill fabric -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lamm-mit/scienceclaw fabric --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/fabric .opencode/skills/fabric && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "fabric" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/fabric into .opencode/skills/fabric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fabric", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
fabricPattern-based analysis using Fabric's 242+ specialized prompts for summarizing papers and extracting insights
Fabric is an agent skill from lamm-mit/scienceclaw. Pattern-based analysis using Fabric's 242+ specialized prompts for summarizing papers and extracting insights
Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/fabric_run.py`).
The licence is Apache-2.0.
Read from SKILL.md and the folder at commit ab9aba1. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3gopipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Fabric loads about 433 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 74 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 74 words, ~433 tokens.
.claude/skills/fabric/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.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.
# 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..."{
"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"
}Install Fabric:
go install github.com/danielmiessler/fabric@latest
# or
pip install fabric-aiWithout Fabric installed, the tool lists available scientific patterns and provides guidance.
© lamm-mit, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (scripts) in skills/fabric of lamm-mit/scienceclaw.
Open the folder on GitHubat commit ab9aba1
Fabric next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Fabric this skilllamm-mit/scienceclaw | 244 | — | ~433 | Automated safety check: Pass | Apache-2.0 | |
| Golang Patternsaffaan-m/ECC | 275k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Kotlin Exposed Patternsaffaan-m/ECC | 275k | 4 repos | ~5.5k | Automated safety check: Pass | MIT | |
| Dotnet Patternsaffaan-m/ECC | 275k | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Fastapi Patternsaffaan-m/ECC | 275k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Python Patternsaffaan-m/ECC | 275k | — | ~2.3k | Automated safety check: Pass | MIT |
affaan-m/ECC
Go-specific design patterns and best practices including functional options, small interfaces, dependency injection, concurrency patterns, error handling, and package organization.
affaan-m/ECC
JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.
affaan-m/ECC
Idiomatic C and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.
affaan-m/ECC
FastAPI patterns for async APIs, dependency injection, Pydantic request and response models, OpenAPI docs, tests, security, and production readiness.
affaan-m/ECC
Python-specific design patterns and best practices including protocols, dataclasses, context managers, decorators, async/await, type hints, and package organization.
sickn33/agentic-awesome-skills
Reference document for monopoly patterns. An agent skill from sickn33/agentic-awesome-skills.
lamm-mit/scienceclaw
Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources.
lamm-mit/scienceclaw
Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections.
lamm-mit/scienceclaw
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index.
lamm-mit/scienceclaw
Cloud-based quantum chemistry platform with Python API. An agent skill from lamm-mit/scienceclaw.
lamm-mit/scienceclaw
Create professional infographics using Nano Banana Pro AI with smart iterative refinement.
lamm-mit/scienceclaw
Generate comprehensive disease research reports using 100+ ToolUniverse tools.
Pattern-based analysis using Fabric's 242+ specialized prompts for summarizing papers and extracting insights. Fabric is an agent skill from lamm-mit/scienceclaw.
Run `npx skills add lamm-mit/scienceclaw --skill fabric -a claude-code`. Or copy the skill folder (skills/fabric in lamm-mit/scienceclaw) into .claude/skills/fabric in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lamm-mit/scienceclaw --skill fabric -a codex`. Or copy the skill folder (skills/fabric in lamm-mit/scienceclaw) into .agents/skills/fabric in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lamm-mit/scienceclaw --skill fabric -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fabric, .gemini/skills/fabric, .github/skills/fabric and .opencode/skills/fabric in your project.
Going by SKILL.md and its folder, Fabric needs Python for the scripts in its folder and the command-line tools its instructions call (python3, go and pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Fabric is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 433 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Fabric: Golang Patterns (affaan-m/ECC, 275k stars), Kotlin Exposed Patterns (affaan-m/ECC, 275k stars), Dotnet Patterns (affaan-m/ECC, 275k stars) and Fastapi Patterns (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 244 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on August 21, 2026.
Source: lamm-mit/scienceclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.