genpark-structural-causal-model-dag-interventional-engine-skill
GenPark AI Agent Skill - Structural Causal Model (SCM) DAG engine evaluating observational distributions and simulating Pearl's do-calculus interventions.
Details
- External ID
- 1362859136
- Source
- GITHUB
- Company
- —
- Product
- genpark-structural-causal-model-dag-interventional-engine-skill
- Website domain
- github.com
- Launched
- Sept. 9, 2026
- Cohort
- —
- Upvotes
- 8
- Upvotes percentile
- 0.14514476044068664
- Tags
- agentic-ai, causal-inference, counterfactuals, do-calculus, genpark-skill, instrumental-variables, mcp, propensity-score, python-stdlib, structural-causal-models
- Fetched at
- Sept. 13, 2026, 5:57 p.m.
- Updated at
- Sept. 13, 2026, 5:57 p.m.
Enrichment
- Theme
- specialized AI models and agent reasoning tools
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- structural causal model dag engine skill for ai agents
- Manually corrected
- False
Could you build this?
Yes Graph-based structural causal models and Pearl's do-calculus graph mutilations represent standard algorithmic graph operations that an AI assistant can readily generate.
Competitors
Other products that read as similar to this one — 368 launches clear the similarity bar, closest 8 shown.
Attention rank: #40 of 369 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 307 days after the earliest competitor.
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Other launches for this product
Same idea, different domain
Nobody's really built a dev tools tool for Sales yet.