How do I install the Steep Framework skill?

Run npx skillmds@latest add revfactory/steep-framework in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Steep Framework safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Steep Framework?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Steep Framework free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Steep Framework?

revfactory (@revfactory) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Steep Framework by revfactory — Agent Skill

Name: Steep Framework
Author: revfactory

Steep Framework

A STEEP macro-environment analysis methodology for systematic identification of scenario planning variables. Used by the variable-analyst agent for comprehensive environmental scanning. Automatically applied in contexts such as 'STEEP analysis', 'macro-environment analysis', 'environmental scanning', 'driving forces', 'megatrends'. However, real-time data collection and econometric model construction are outside the scope of this skill.

revfactory 6e1678d 2 files · 6.8 KB Updated Sep 17, 2026

File contents

STEEP Framework — Macro-Environment Analysis Tool

A specialized skill that enhances the environmental scanning capabilities of the variable-analyst agent.

Target Agent

variable-analyst — Systematic identification of key variables using the STEEP framework

STEEP 6-Dimension Scanning

Dimension Definitions

Dimension	Scope	Example Variables
S Social	Demographics, lifestyle, values, education	Aging population, remote work adoption, DEI awareness
T Technological	Innovation, adoption rate, disruption	AI adoption, quantum computing, cybersecurity threats
E Economic	Growth, inflation, trade, labor market	Interest rate changes, supply chain restructuring, gig economy
E Environmental	Climate, resources, sustainability	Carbon regulation, ESG pressure, resource scarcity
P Political	Government policy, regulation, geopolitics	Data privacy regulation, trade wars, political polarization
L Legal	Laws, compliance, intellectual property	Antitrust regulation, labor law changes, patent disputes

Scanning Checklist per Dimension

For each dimension, investigate:

Current State: What is happening now?
Direction of Change: Which way is the trend moving?
Speed of Change: How fast? (Gradual/Rapid/Discontinuous)
Certainty: Is this predetermined or uncertain?
Impact: How does it affect our industry/organization?

Uncertainty-Impact Matrix

4-Quadrant Classification

Impact (High)
    |  Q2: Predetermined     Q1: Scenario Drivers
    |  (Certain Trends)      (Matrix Axes)
    |  → Apply to all        → 2 axes for matrix
    |    scenarios
    |
    |  Q4: Background         Q3: Monitor
    |  (Ignore)               (Wild Cards)
    |  → Minimal attention    → Watch list
    |
Impact (Low)
    +--- Uncertainty (Low) ---- Uncertainty (High)

Assessment Criteria

Score	Uncertainty	Impact
5	Completely unpredictable, multiple possible outcomes	Existential impact on business model
4	Difficult to predict, 2-3 plausible outcomes	Significant impact on core revenue
3	Somewhat predictable but variable	Moderate impact on operations
2	Mostly predictable with minor variations	Limited departmental impact
1	Nearly certain, single expected outcome	Negligible impact

Trend Classification

Predetermined Trends

High certainty of direction (uncertainty score 1-2)
Applied as constants across all scenarios
Example: Aging population in developed nations

Critical Uncertainties

High uncertainty AND high impact (Q1 quadrant)
Used as scenario matrix axes
Example: AI regulation direction (restrictive vs. permissive)

Wild Cards

Low probability but potentially high impact events
Included as shock events within specific scenarios
Example: Pandemic, technology breakthrough, geopolitical crisis

---name: steep-frameworkdescription: A STEEP macro-environment analysis methodology for systematic identification of scenario planning variables. Used by the variable-analyst agent for comprehensive environmental scanning. Automatically applied in contexts such as 'STEEP analysis', 'macro-environment analysis', 'environmental scanning', 'driving forces', 'megatrends'. However, real-time data collection and econometric model construction are outside the scope of this skill.---# STEEP Framework — Macro-Environment Analysis ToolA specialized skill that enhances the environmental scanning capabilities of the variable-analyst agent.## Target Agent- **variable-analyst** — Systematic identification of key variables using the STEEP framework## STEEP 6-Dimension Scanning### Dimension Definitions| Dimension | Scope | Example Variables ||-----------|-------|-------------------|| **S** Social | Demographics, lifestyle, values, education | Aging population, remote work adoption, DEI awareness || **T** Technological | Innovation, adoption rate, disruption | AI adoption, quantum computing, cybersecurity threats || **E** Economic | Growth, inflation, trade, labor market | Interest rate changes, supply chain restructuring, gig economy || **E** Environmental | Climate, resources, sustainability | Carbon regulation, ESG pressure, resource scarcity || **P** Political | Government policy, regulation, geopolitics | Data privacy regulation, trade wars, political polarization || **L** Legal | Laws, compliance, intellectual property | Antitrust regulation, labor law changes, patent disputes |### Scanning Checklist per DimensionFor each dimension, investigate:1. **Current State**: What is happening now?2. **Direction of Change**: Which way is the trend moving?3. **Speed of Change**: How fast? (Gradual/Rapid/Discontinuous)4. **Certainty**: Is this predetermined or uncertain?5. **Impact**: How does it affect our industry/organization?## Uncertainty-Impact Matrix### 4-Quadrant Classification```Impact (High) | Q2: Predetermined Q1: Scenario Drivers | (Certain Trends) (Matrix Axes) | → Apply to all → 2 axes for matrix | scenarios | | Q4: Background Q3: Monitor | (Ignore) (Wild Cards) | → Minimal attention → Watch list |Impact (Low) +--- Uncertainty (Low) ---- Uncertainty (High)```### Assessment Criteria| Score | Uncertainty | Impact ||-------|-----------|--------|| 5 | Completely unpredictable, multiple possible outcomes | Existential impact on business model || 4 | Difficult to predict, 2-3 plausible outcomes | Significant impact on core revenue || 3 | Somewhat predictable but variable | Moderate impact on operations || 2 | Mostly predictable with minor variations | Limited departmental impact || 1 | Nearly certain, single expected outcome | Negligible impact |## Trend Classification### Predetermined Trends- High certainty of direction (uncertainty score 1-2)- Applied as constants across all scenarios- Example: Aging population in developed nations### Critical Uncertainties- High uncertainty AND high impact (Q1 quadrant)- Used as scenario matrix axes- Example: AI regulation direction (restrictive vs. permissive)### Wild Cards- Low probability but potentially high impact events- Included as shock events within specific scenarios- Example: Pandemic, technology breakthrough, geopolitical crisis

Frequently asked questions