india-macro-pack
Skill0 starsChanged 29 days agoNo licenceView on GitHub
Assemble the macro and industry layer of an Indian equity research report - global and India GDP, CPI, WPI, IIP, repo rate, G-sec yield, INR, and industry-body volumes and market size - with every figure carrying its source, its observation period and a staleness check. Produces a cited macro_pack.md and populates reports/_knowledge/macro.json for kb.py. This skill should be used when the user asks for macro data, macro context, the macro or industry section of a research report, India GDP or inflation figures, IMF WEO forecasts, RBI or MoSPI data, industry volumes or market size, or asks to refresh a stale macro knowledge base.
In this repository7 other files it gives its agents.
- annual-report-kbSkill
- equity-research-reportSkill
- financial-model-assumptionsSkill
- financial-modelSkill
- modeling-strategySkill
- peer-compsSkill
- research-note-updateSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 3 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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