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labyrinth-exploration

An agent skill for Codex, Claude Code and other clients: open-ended research as the exploration of a labyrinth, with a map of what is proved, refuted, conjectured and still dark, proof tiers, independent referees and campaigns of agents.

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This is 1 of 244 launches in modular skills for AI agents — see how it stacks up on momentum and crowding →

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Details

External ID
1409590274
Source
GITHUB
Company
—
Product
labyrinth-exploration
Website domain
github.com
Launched
Oct. 8, 2026
Cohort
—
Upvotes
34
Upvotes percentile
0.62
Tags
agent-skills, claude-code, claude-skills, codex, knowledge-graph, mathematics, openai-codex, research, research-tools

Enrichment

Niche
modular skills for AI agents
Vertical
Education
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
open-ended research agent skill for codex and claude code
Manually corrected
False

Could you build this?

Yes This is an agent prompt/orchestration skill framework that organizes multi-agent LLM exploration and state graphs using standard LLM API tool calling and markdown/graph state files.

Competitors

Other products that read as similar to this one — 583 launches clear the similarity bar, closest 8 shown.

Attention rank: #200 of 584 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 342 days after the earliest competitor.

Other launches for this product