·recommend

Get research-backed architecture advice for your knowledge system. Describe your use case, constraints, and goals — get specific recommendations grounded in TFT research with rationale for each decision. Triggers on "/recommend", "what would you recommend", "architecture advice", "knowledge system for".

12Installs·0Trend·@agenticnotetaking

Installation

$npx skills add https://github.com/agenticnotetaking/arscontexta --skill recommend

How to Install recommend

Quickly install recommend AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/agenticnotetaking/arscontexta --skill recommend
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: agenticnotetaking/arscontexta.

SKILL.md

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If any reference file is missing, note the gap but continue with available information. The recommendation degrades gracefully — fewer citations, same structure.

/recommend exists for exploration. The user is considering a knowledge system — maybe they have a use case, maybe they're comparing approaches, maybe they're curious what the research says about a specific pattern. /recommend answers with specific, research-backed reasoning without creating any files.

This is the entry point before commitment. /setup generates a full system. /recommend sketches what that system would look like and WHY, so the user can decide whether to proceed. Every recommendation traces to specific research claims. "I recommend X" is never enough — "I recommend X because [[claim]]" is the minimum.

Get research-backed architecture advice for your knowledge system. Describe your use case, constraints, and goals — get specific recommendations grounded in TFT research with rationale for each decision. Triggers on "/recommend", "what would you recommend", "architecture advice", "knowledge system for". Source: agenticnotetaking/arscontexta.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/agenticnotetaking/arscontexta --skill recommend
Category
</>Dev Tools
Verified
First Seen
2026-02-22
Updated
2026-03-10

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Quick answers

What is recommend?

Get research-backed architecture advice for your knowledge system. Describe your use case, constraints, and goals — get specific recommendations grounded in TFT research with rationale for each decision. Triggers on "/recommend", "what would you recommend", "architecture advice", "knowledge system for". Source: agenticnotetaking/arscontexta.

How do I install recommend?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/agenticnotetaking/arscontexta --skill recommend Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/agenticnotetaking/arscontexta

Details

Category
</>Dev Tools
Source
skills.sh
First Seen
2026-02-22