Reversible Decision Mapper for Openclaw

A sophisticated prompt-flow skill designed to classify decisions by reversibility and risk to eliminate overthinking.

harrylabsj
v1.0.0
May 10, 2026
0
55
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install reversible-decision-mapper

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install reversible-decision-mapper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Reversible Decision Mapper?

Reversible Decision Mapper is a powerful cognitive framework within the Openclaw Skills ecosystem designed to help users navigate complex choices without falling into analysis paralysis. By distinguishing between one-way doors (irreversible) and two-way doors (easily undone), this skill allows developers and managers to allocate the right amount of mental energy to each problem.

The skill synthesizes factors like downside severity, cost of delay, and information gaps to recommend a specific action mode. Whether you need to decide immediately, run a low-stakes experiment, or escalate to a stakeholder, this tool provides a structured, logical pathway to move from uncertainty to action.

Reversible Decision Mapper Use Cases

  • Mapping one-way versus two-way door decisions to determine analysis depth.
  • Resolving analysis paralysis when stuck between multiple technical or personal options.
  • Identifying the smallest safe experiment to validate a hypothesis before full commitment.
  • Calculating the cost of delay versus the risk of an incorrect decision.
  • Structuring decision logs for teams to document rationale and rollback paths.

How Reversible Decision Mapper Works

  1. Decision Clarification: The skill rewrites the user's dilemma into a single, actionable sentence comparing an option against a default.
  2. Option Mapping: It lists all available paths, including the consequences of doing nothing, and identifies the upsides and downsides of each.
  3. Factor Scoring: It applies a 1-5 scale to quantify reversibility, downside severity, cost of delay, information gaps, and stakeholder impact.
  4. Door Classification: Based on the scores, the decision is categorized as a Two-way, Sliding-door, or One-way door.
  5. Strategy Generation: The skill identifies a rollback path or a small-scale experiment to lower the stakes of the choice.
  6. Action Recommendation: Finally, it outputs a formal Decision Note with a recommended action mode: Decide Now, Run Experiment, Gather Evidence, or Escalate.

Reversible Decision Mapper Setup

To utilize this decision framework within your AI environment, ensure you have the Openclaw Skills prompt-flow capability enabled. You can integrate it via your CLI or AI interface:

# Example: Triggering the decision mapper in a supported environment
openclaw run-skill reversible-decision-mapper

Simply provide the decision context when prompted to begin the mapping workflow.

Reversible Decision Mapper Data Schema & Taxonomy

The Reversible Decision Mapper organizes its analysis into a structured format for easy export and documentation:

Attribute Description
Decision Statement A single-sentence 'Should I' question.
Reversibility Score 1 (Easy to undo) to 5 (Permanent).
Door Type One-way, Two-way, or Sliding-door classification.
Action Mode The recommended path (Decide, Experiment, Research, Escalate).
Rollback Path Specific steps required to undo the decision if it fails.
Evidence Threshold The specific data point needed to trigger a final commitment.

Reversible Decision Mapper Advanced Features

  • Multi-factor risk scoring to prioritize high-impact stakeholder concerns.
  • Sliding-door window tracking to identify when a reversible decision becomes permanent.
  • Automated generation of experiment success metrics and stop conditions.
  • Safety boundaries that trigger escalation recommendations for legal, financial, or medical domains.
  • Comprehensive Decision Notes formatted for long-term project documentation.

SKILL.md


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