Skip to content
Automation
Skill

/analyze-future-scenarios

Construct and compare plausible future/competitive/temporal/stress scenarios and test whether the research path remains robust across them.

From plugin
de-anthropocentric-research-engine
512200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-future-scenarios --agent claude-code

SKILL.md

analyze-future-scenarios.SKILL.md
name: analyze-future-scenarios
description: "Construct and compare plausible future/competitive/temporal/stress scenarios and test whether the research path remains robust across them."

analyze-future-scenarios

Purpose

Construct and compare plausible future/competitive/temporal/stress scenarios and test whether the research path remains robust across them.

Input contract

required: [research_path, scenario_axes, uncertainty_drivers]
optional: [assumptions, prior_findings, evidence_updates]
constraints: [consume named scientific objects; preserve provenance; keep unresolved uncertainty visible]

Execution protocol

Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.

1. You MUST load skill `identify-scenario-drivers` to rank the horizon's high-impact uncertainties. 2. You MUST load skill `enumerate-dimension-values` to enumerate representative, boundary, and adversarial driver values. 3. You MUST load skill `evaluate-compatibility` to prune incompatible combinations while retaining near-boundary cases. 4. You MUST load skill `construct-scenario` to assemble distinct baseline, counterfactual, and extreme-but-plausible worlds. 5. You MUST load skill `evaluate-scenario-impact` to score the research path inside each fixed world and record failure triggers. 6. You MUST load skill `evaluate-scenario-robustness` to aggregate per-world results and expose fragile assumptions. 7. You MUST load skill `predict-competitive-move` to forecast credible competitor moves and preemption risk. 8. You MUST load skill `analyze-temporal-trajectory` to order outcomes through time and reveal regime changes.

Deviation: reorder only when a dependency is already satisfied or unavailable; record the reason and confidence effect.

Output contract

produces: [scenario_set, impact_comparison, robustness_assessment]
delta_fields: [findings, decisions]

Thresholds and quality gates

  • Each output is traceable to an input object, operation, and evidence reference.
  • Scope, assumptions, and unresolved alternatives remain explicit.
  • Retain $\alpha$ 0.05 and power 0.8 wherever the predeclared statistical design requires them.

Failure and counterexamples

Stop synthesis when a required object is absent, a precondition is violated, or a counterexample invalidates the proposed conclusion; return the partial delta with the failure recorded.

Provenance map

  • intermediate: experiment-execution/scenario-planning [campaign]
  • resolved: morphological-scenario
  • resolved: narrative-scenario
  • resolved: stress-scenario
  • resolved: competitive-scenario
  • resolved: temporal-scenario
  • resolved: parameter-space-construction
  • resolved: cross-consistency-filtering
  • resolved: strategy-robustness-testing

Preserved source criteria ledger

| source | criterion | treatment | |---|---|---| | resolved v3 entries above | node-specific criteria | retained and specialized to the v4 object contract | | experiment-execution/statistical-testing | $\alpha$ = 0.05 | fixed value retained where applicable | | experiment-execution/sample-size-estimation | power = 0.8 | fixed value retained where applicable |

Context checkpoint / Delta notes

Return the node-specific research-state delta and preserve findings, evidence updates, uncertainties, decisions, open questions, and recommended jumps as applicable.

Read more
@yogsoth-ai
Ships withde-anthropocentric-research-engine

A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

Stars on GitHub

Momentum

stars in total
512
Star history of yogsoth-ai/de-anthropocentric-research-engine on GitHub, a chart by star-history.com

More skills from other plugins.

agent-builder

agent-builder

Load immediately after an Agent intent, before the first agent_builder_* call. Governs how you create, configure, test, and…

n8n2w209k
@n8n-io@n8n-ioInstall Skill
browser-use

browser-use

Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…

@browser-use@browser-useInstall Skill
add-anydoc

add-anydoc

Add local office-document-to-Markdown conversion to NanoClaw agent containers with the pinned Firecrawl AnyDoc CLI. Use when…

@nanocoai@nanocoaiInstall Skill

Questions about analyze-future-scenarios.

Which coding agents can use analyze-future-scenarios?
analyze-future-scenarios 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.