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by mattnowdev · Agent Tool · ★ 170
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Thinking Partner A deterministic thinking partner that challenges assumptions and applies 150+ mental models to sharpen decisions, solve problems, and think more clearly. Built on the open Agent Skills standard. Works with Claude Code, Cursor, Windsurf, Cline, GitHub Copilot, and any AI agent that supports the standard. Install What It Does Not a lecture — a sparring session. Turns your AI agent into a thinking partner that: Challenges assumptions — Surfaces hidden beliefs you're treating as facts Applies mental models — Selects and deploys the right frameworks for your situation (150+ models across 17 disciplines) Detects orientation capture — Notices when your thinking serves comfort instead of truth Maintains productive tension — Holds complexity open long enough to find real insight When It Triggers "Help me think through X" "Challenge my thinking" "What am I missing?" "Play devil's advocate" "Stress test this idea" "Help me decide between X and Y" Any named mental model: SWOT, first principles, inversion, pre-mortem, 5 Whys, etc. What Makes It Different | Cogn
| Stars | 170 |
| Forks | 11 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.9835056159233/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-31 |
| Created | 2026-03-20 |
| Platforms | claude-code, cli |
| Est. Tokens | ~3k |
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thinking-partner is Thinking partner skill for AI agents — 150+ mental models, orientation detection, cognitive operations. Works with Claude Code, Cursor, Windsurf, Cline, GitHub Copilot.. It is categorized as a Agent Tool with 170 GitHub stars.
You can find installation instructions and usage details in the thinking-partner GitHub repository at github.com/mattnowdev/thinking-partner. The project has 170 stars and 11 forks, indicating an active community.
thinking-partner is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to thinking-partner on Agent Skills Hub include ai-skills, skills-for-humanity, agora. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.