finding-unknowns-skills — Claude Skill by Neeeophytee

by Neeeophytee · Claude Skill · ★ 249

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About finding-unknowns-skills

Finding-Unknowns Skills 8 installable skills that make Claude help you find what you don't know — before it gets expensive to fix. The map is not the territory. Your prompt is a map; the codebase and the real world are the territory. The gap between them is your unknowns, and with strong models the quality of the work is bottlenecked by how well you clarify them. These skills turn that idea, from Thariq Shihipar's essay A Field Guide to Fable: Finding Your Unknowns, into commands you can run in Claude Code, OpenAI Codex, or any agent that reads the agentskills.io SKILL.md format. Community project. Distilled, with attribution, from a public essay by Thariq Shihipar (Anthropic, Claude Code team). Not an official Anthropic repository. The idea in one table Every skill below is a cheap way to move something out of the bottom row before implementation makes it expensive. The skills | [](skills/brainstorm-prototypes/

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Quick Facts

Stars249
Forks21
CategoryClaude Skill
Quality Score61.8136354985489/100
Last Updated2026-07-28
Created2026-07-05
Platformsclaude-code, codex
Est. Tokens~8k

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Frequently Asked Questions

What is finding-unknowns-skills?

finding-unknowns-skills is 11 installable skills for Claude Code, OpenAI Codex, and Hermes, for finding your unknowns before they get expensive: blindspot pass, brainstorms, interviews, references, plans, notes, pitches, a merg. It is categorized as a Claude Skill with 249 GitHub stars.

How do I install or use finding-unknowns-skills?

You can find installation instructions and usage details in the finding-unknowns-skills GitHub repository at github.com/Neeeophytee/finding-unknowns-skills. The project has 249 stars and 21 forks, indicating an active community.

What are the best alternatives to finding-unknowns-skills?

The top alternatives to finding-unknowns-skills on Agent Skills Hub include claude-codex-settings, Agent-Skills, mco. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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