A sophisticated prompt-flow skill designed to classify decisions by reversibility and risk to eliminate overthinking.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install reversible-decision-mapper
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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).
Get the raw skill files in a ZIP archive.
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.
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.
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. |
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