validation

Name: validation
Author: richard-kim-79

44stars10forks

How to install validation?

richard-kim-79/archora-skills/validation

$npx -y skills add richard-kim-79/archora-skills --skill validation

Installs into the current project.

Summary

Designs detailed experimental protocols to validate research hypotheses. Each protocol includes independent variable, dependent variable, controls, sample size with power analysis, timeline, and expected outcome. Use when the user asks to design experiments, plan a study, propose

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SKILL.md

1	# Experiment Design
2
3	Design rigorous experimental protocols to validate research hypotheses.
4
5	## Protocol Components
6
7	For each hypothesis, produce a complete protocol with:
8
9	\| Field \| Description \|
10	\|-------\|-------------\|
11	\| Design \| Experimental design type (RCT, quasi-experimental, longitudinal, in silico, etc.) \|
12	\| Independent Variable (IV) \| What is manipulated \|
13	\| Dependent Variable (DV) \| What is measured \|
14	\| Controls \| Variables held constant \|
15	\| Sample Size \| N per condition + power analysis (α=0.05, β=0.80, effect size) \|
16	\| Timeline \| Phase-by-phase schedule \|
17	\| Protocol \| Step-by-step procedure \|
18	\| Expected Outcome \| What would confirm vs. refute the hypothesis \|
19
20	## Power Analysis
21
22	Always include a power analysis. Standard parameters:
23	- α (Type I error rate): 0.05
24	- Power (1−β): 0.80
25	- Effect size: use domain-specific estimates or Cohen's conventions (small=0.2, medium=0.5, large=0.8)
26
27	Example: `30 simulations per condition (90 total, power analysis: α=0.05, β=0.80, η²=0.25)`
28
29	## Output Format
30
31	```markdown
32	# 🧫 Experiment Design
33
34	## Strategy Overview
35	[2–3 sentences: how the experiments collectively test the hypotheses]
36
37	## Proposed Experiments
38
39	### Experiment 1: [Design Type]
40
41	Tests Hypothesis: [Exact hypothesis being tested]
42
43	\| Parameter \| Detail \|
44	\|-----------\|--------\|
45	\| Design \| [Design type] \|
46	\| Sample Size \| [N per condition with power analysis] \|
47	\| Timeline \| [X months: phase breakdown] \|
48
49	Independent Variables: [What is manipulated]
50	Dependent Variables: [What is measured]
51	Control Variables: [What is held constant]
52
53	Protocol:
54	1. [Step 1]
55	2. [Step 2]
56	...
57
58	Expected Outcome: [What confirms the hypothesis. What would refute it.]
59
60	---
61	```
62
63	## Feasibility check
64
65	Before finalizing a protocol, consider:
66	- Can the required equipment/resources be co-located?
67	- Is the timeline realistic for the sample size?
68	- Are controls sufficient to rule out confounds?
69	- Does the analysis plan address multiple comparisons if >1 DV?

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Type

validation

44stars10forks

View on GitHub

How to install validation?

richard-kim-79/archora-skills/validation

$npx -y skills add richard-kim-79/archora-skills --skill validation

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Experiment Design
2
3	Design rigorous experimental protocols to validate research hypotheses.
4
5	## Protocol Components
6
7	For each hypothesis, produce a complete protocol with:
8
9	\| Field \| Description \|
10	\|-------\|-------------\|
11	\| Design \| Experimental design type (RCT, quasi-experimental, longitudinal, in silico, etc.) \|
12	\| Independent Variable (IV) \| What is manipulated \|
13	\| Dependent Variable (DV) \| What is measured \|
14	\| Controls \| Variables held constant \|
15	\| Sample Size \| N per condition + power analysis (α=0.05, β=0.80, effect size) \|
16	\| Timeline \| Phase-by-phase schedule \|
17	\| Protocol \| Step-by-step procedure \|
18	\| Expected Outcome \| What would confirm vs. refute the hypothesis \|
19
20	## Power Analysis
21
22	Always include a power analysis. Standard parameters:
23	- α (Type I error rate): 0.05
24	- Power (1−β): 0.80
25	- Effect size: use domain-specific estimates or Cohen's conventions (small=0.2, medium=0.5, large=0.8)
26
27	Example: `30 simulations per condition (90 total, power analysis: α=0.05, β=0.80, η²=0.25)`
28
29	## Output Format
30
31	```markdown
32	# 🧫 Experiment Design
33
34	## Strategy Overview
35	[2–3 sentences: how the experiments collectively test the hypotheses]
36
37	## Proposed Experiments
38
39	### Experiment 1: [Design Type]
40
41	Tests Hypothesis: [Exact hypothesis being tested]
42
43	\| Parameter \| Detail \|
44	\|-----------\|--------\|
45	\| Design \| [Design type] \|
46	\| Sample Size \| [N per condition with power analysis] \|
47	\| Timeline \| [X months: phase breakdown] \|
48
49	Independent Variables: [What is manipulated]
50	Dependent Variables: [What is measured]
51	Control Variables: [What is held constant]
52
53	Protocol:
54	1. [Step 1]
55	2. [Step 2]
56	...
57
58	Expected Outcome: [What confirms the hypothesis. What would refute it.]
59
60	---
61	```
62
63	## Feasibility check
64
65	Before finalizing a protocol, consider:
66	- Can the required equipment/resources be co-located?
67	- Is the timeline realistic for the sample size?
68	- Are controls sufficient to rule out confounds?
69	- Does the analysis plan address multiple comparisons if >1 DV?

People who liked this also viewed

6 picks

Type