night-market-research-methodology
FeaturedTurn hunches into accepted results: worthiness score, evidence bar, research-to-rules. Use when vetting ideas. Not for QA; use night-market-validation-and-qa.
Install
Quality Score: 88/100
Skill Content
Details
- Author
- athola
- Repository
- athola/claude-night-market
- Created
- 9 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
ai-agents-research-methodology
How a hunch becomes an accepted result in this repo. Covers the evidence bar, hypothesis-predicts-numbers discipline, and the idea lifecycle from contradiction log through probe, eval baseline, ADR debate, calibrated gate, and guard-maturity monitoring. Use when you say `how do I prove this idea`, `run the idea lifecycle`, `what is the evidence bar`. Do NOT use for the open research programs (use ai-agents-research-frontier) or probe recipe depth (use ai-agents-empirical-probe-toolkit).
night-market-validation-and-qa
Enforce evidence bar, coverage gates, and regression guards. Use when adding tests or claiming done. Do not use to run suites; use night-market-operations.
ce-market-scan
Evidence-bound market & competitive scan to validate a raw idea before /core-engineering:ce-brief — three-state evidence, every claim sourced and dated; frames the decision space and routes a disposition but renders NO go/no-go verdict (the Scope Lock). Triggers: market/competitor/differentiation research for an idea. For an opinionated score use /product-discovery:ce-idea-score; to first brainstorm MANY raw ideas into a ranked shortlist use /product-discovery:ce-idea-scout.