fact-creation-methodologies
fact-creation-methodologies is a Market & industry research skill for AI agents, published by MichaelRochonnn in the mckinsey-bcg-consulting repository on GitHub. Skillspace rates fact-creation-methodologies C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Create novel facts and insights when existing data is insufficient by designing hypothesis-driven surveys, synthesizing data from multiple sources, and analyzing outliers. Use in business analysis, market research, or strategic consulting when you need to challenge conventional wisdom, generate unexpected truths, or prove/disprove a hypothesis.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 33
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.