by Neeeophytee
8 installable skills for Claude Code and OpenAI Codex, for finding your unknowns before they get expensive: blindspot pass, brainstorms, interviews, references, plans, notes, pitches, and a merge quiz. Community distillation, not official Anthropic.
# Add to your Claude Code skills
git clone https://github.com/Neeeophytee/finding-unknowns-skillsGuides for using ai agents skills like finding-unknowns-skills.
Last scanned: 7/7/2026
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}finding-unknowns-skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Neeeophytee. 8 installable skills for Claude Code and OpenAI Codex, for finding your unknowns before they get expensive: blindspot pass, brainstorms, interviews, references, plans, notes, pitches, and a merge quiz. Community distillation, not official Anthropic. It has 154 GitHub stars.
Yes. finding-unknowns-skills passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/Neeeophytee/finding-unknowns-skills" and add it to your Claude Code skills directory (see the Installation section above).
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh finding-unknowns-skills against similar tools.
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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.
| Known | Unknown | |
|---|---|---|
| Known | What's in your prompt | What you know you haven't figured out |
| Unknown | So obvious you'd never write it down, but you'd recognize it on sight | What you haven't considered at all |
Every skill below is a cheap way to move something out of the bottom row before implementation makes it expensive.
| Skill | Phase | One line |
|---|---|---|
blindspot-pass |
Before | Surface your unknown unknowns in an unfamiliar area, then help you prompt better |
brainstorm-prototypes |
Before | Throwaway variations you can react to, for taste you can't verbalize |
interview-me |
Before | One question at a time, architecture-changing questions first |
reference-hunt |
Before | Use working source code as the spec, even across languages |
implementation-plan |
Before | A plan that leads with the decisions you're most likely to change |
implementation-notes |
During | Log every deviation from the plan so the next attempt learns from this one |
pitch-packager |
After | Bundle spec + prototype + notes into a buy-in doc for reviewers |
change-quiz |
After | A comprehension quiz you must pass before you merge |
One command, any agent (recommended): Vercel's skills CLI auto-detects your coding agent (Claude Code, Cursor, Codex, Copilot, Gemini, and more) and installs the skills into the right place for each:
npx skills add Neeeophytee/finding-unknowns-skills
Add --list to preview the 8 skills first, or --skill blindspot-pass to install just one. (Discoverable on skills.sh.)
As a Claude Code plugin (all 8 skills):
/plugin marketplace add Neeeophytee/finding-unknowns-skills
/plugin install finding-unknowns@finding-unknowns-skills
Manually (pick the skills you want): copy any skills/<name>/ folder into your project's .claude/skills/ directory (or ~/.claude/skills/ for all projects).
The one-file version: if you'd rather have the whole approach as passive guidance instead of commands, drop CLAUDE.md (Claude Code) or AGENTS.md (Codex and other AGENTS.md-reading agents) into your project root, or append it to your existing one.
The npx skills add Neeeophytee/finding-unknowns-skills command above detects Cursor and installs the skills into ~/.cursor/skills/ for you — no manual step. (Verified: Vercel's CLI discovers all 8 skills in this repo.)
The skills use the same SKILL.md format Codex reads natively, so no conversion is needed. Either run npx skills add Neeeophytee/finding-unknowns-skills (it detects Codex), or copy them into a Codex skill location:
git clone https://github.com/Neeeophytee/finding-unknowns-skills
cp -r finding-unknowns-skills/skills/* ~/.agents/skills/ # all projects
# or, per project: cp -r finding-unknowns-skills/skills/* your-repo/.agents/skills/
Codex detects skill changes automatically. For the passive-guidance version, drop AGENTS.md into your project root — Codex reads it before doing any work. Tested with Codex CLI v0.143: all 8 skills and their trigger descriptions load into the model-visible prompt (verifiable yourself with codex debug prompt-input). (Paths per the Codex skills docs.)
blindspot-passbrainstorm-prototypesinterview-mereference-huntimplementation-plan, then keep implementation-notes runningpitch-packager for buy-in, change-quiz before you mergeSee EXAMPLES.md for real prompts.
The techniques and the unknowns framing come from Thariq Shihipar's essay and his companion artifacts. This repo distills them into the SKILL.md format with original instruction text; read the essay for the full reasoning and the Fable 5 launch-video story that motivates it. Coverage: The Decoder.
MIT for the skill text in this repo. The underlying techniques belong to their author; attribution above.
Maintained alongside awesome-ai-workflows, a list of AI workflows re-checked by CI, and FlowStacks, where each recipe carries a machine-verified badge. If this repo is useful, a star helps the next person find it.