abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
@yogsoth-aiInstall SkillAutomation
Skill
/design-discriminating-prediction
Construct a prediction that yields different outcomes under competing hypotheses.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-discriminating-prediction --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-discriminating-prediction -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-discriminating-prediction -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-discriminating-prediction -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-discriminating-prediction -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-discriminating-prediction -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-discriminating-prediction -a windsurf -y
SKILL.md
design-discriminating-prediction.SKILL.mdname: design-discriminating-prediction description: "Construct a prediction that yields different outcomes under competing hypotheses."
design-discriminating-prediction
Purpose
Design an observation or test whose outcomes distinguish among competing hypotheses.
Input contract
required: [hypotheses, current_evidence, target_comparison] optional: [constraints, measurable_variables, candidate_interventions] constraints: [predictions must differ on an observable outcome]
Procedure
1. Identify the unresolved contrast between hypotheses. 2. Derive each hypothesis's prediction under candidate conditions. 3. Select the condition maximizing interpretable separation within constraints. 4. Specify outcome, measurement, and interpretation for each possible result.
Output contract
produces: [discriminating_test, prediction_table, measurement_plan, interpretation_rules] delta_fields: [hypothesis_updates, decisions, uncertainties, recommended_jumps]
Quality gates
- Predictions differ before the test is selected.
- Confounds and ambiguous outcomes are recorded.
Failure and counterexamples
Do not call a test discriminating when all hypotheses predict the same result or when the measurement cannot separate them.
Provenance map
- `resolved: design-discriminating-prediction`
Ships withde-anthropocentric-research-engine
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
507200 skills
Stars on GitHub
Momentum
- stars in total
- 507
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Questions about design-discriminating-prediction.
- Which coding agents can use design-discriminating-prediction?
- design-discriminating-prediction installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.