sciomc

Name: sciomc
Author: jmstar85

151stars12forks

How to install sciomc?

jmstar85/oh-my-githubcopilot/sciomc

$npx -y skills add jmstar85/oh-my-githubcopilot --skill sciomc

Installs into the current project.

Summary

Coordinate bounded scientist-style research analyses for data, hypotheses, and evidence. Activate when: sciomc, scientist research, research swarm, scientific analysis.

Files · 1

View on GitHub

SKILL.md

1	# SciOMC
2
3	> OMG adapted scope: The name stays `sciomc` for upstream discoverability, but this is an OMG-adapted degraded port. Use 3–5 bounded analysis facets, not 20-way parallel parity.
4
5	## Workflow
6	1. Define the research question, available data, constraints, and success criteria.
7	2. Split into 3–5 independent analysis facets at most.
8	3. Run or delegate each facet only when it has a distinct hypothesis or method.
9	4. Compare findings, contradictions, and confidence.
10	5. Produce a final synthesis with evidence, limitations, and next experiments.
11
12	## Rules
13	- Do not claim statistical certainty without data and method evidence.
14	- Keep concurrency expectations explicit and bounded.
15	- Prefer reproducible commands or notebooks for data work when available.

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sciomc

151stars12forks

View on GitHub

How to install sciomc?

jmstar85/oh-my-githubcopilot/sciomc

$npx -y skills add jmstar85/oh-my-githubcopilot --skill sciomc

Installs into the current project.

Summary

Coordinate bounded scientist-style research analyses for data, hypotheses, and evidence. Activate when: sciomc, scientist research, research swarm, scientific analysis.

Files · 1

View on GitHub

SKILL.md

1	# SciOMC
2
3	> OMG adapted scope: The name stays `sciomc` for upstream discoverability, but this is an OMG-adapted degraded port. Use 3–5 bounded analysis facets, not 20-way parallel parity.
4
5	## Workflow
6	1. Define the research question, available data, constraints, and success criteria.
7	2. Split into 3–5 independent analysis facets at most.
8	3. Run or delegate each facet only when it has a distinct hypothesis or method.
9	4. Compare findings, contradictions, and confidence.
10	5. Produce a final synthesis with evidence, limitations, and next experiments.
11
12	## Rules
13	- Do not claim statistical certainty without data and method evidence.
14	- Keep concurrency expectations explicit and bounded.
15	- Prefer reproducible commands or notebooks for data work when available.

People who liked this also viewed

6 picks

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