Can this skill help with documentation?

Yes, it automatically generates uncertainty registers, decision records, and LDE law cards, creating a robust audit trail of why specific technical decisions were made.

What is an 'Observation Task' in this context?

An observation task is a time-boxed investigation or experiment designed to gather evidence (logs, tests, or documentation) to prove or disprove a specific hypothesis.

When should I trigger the uncertainty-resolution skill?

You should use it whenever you encounter unknown technical risks, ambiguous requirements, or high-stakes decisions that require evidence before proceeding with implementation.

What is Law-Driven Engineering (LDE)?

LDE is a development methodology where project constraints, validated facts, and architectural policies are treated as 'Laws' to guide the AI and developers, ensuring consistency and preventing regressions.

How does the scoring system prioritize tasks?

It calculates a Priority score based on Impact, Evidence level, Urgency, and Effort. This ensures the team focuses on high-impact items that have the least amount of current evidence.

Uncertainty Resolution & Law Promotion

Name: Uncertainty Resolution & Law Promotion
Author: CAPHTECH

byCAPHTECH

0•

生产力与工作流

Systematically identifies and resolves project ambiguities by transforming risks into validated technical laws and actionable tasks.

The Uncertainty Resolution skill provides a rigorous framework for Claude to manage ambiguity in complex software projects. It guides users through a multi-phase process: framing critical decisions, registering and scoring uncertainties based on impact and evidence, and executing time-boxed observation tasks. By integrating with Law-Driven Engineering (LDE) principles, this skill ensures that once a hypothesis is validated, it is promoted to a formal 'Law'—a verified constraint or policy that governs future development and prevents regressions. It is an essential tool for technical leads and developers navigating high-stakes architectural choices or vague requirements.

主要功能

01Automated observation task generation with clear success/failure conditions

02Law-Driven Engineering (LDE) integration for promoting validated hypotheses

03Priority-based Uncertainty Register using Impact/Evidence/Urgency/Effort scoring

04Decision framing to clarify stakes, constraints, and deadlines

05Support for Decision Records and evidence artifacts to maintain project history

060 GitHub stars

使用场景

01Evaluating the technical feasibility and user necessity of a new feature during the MVP phase

02Documenting and verifying business logic assumptions to establish a source of truth for the codebase

03Navigating architectural decisions when integrating complex third-party systems or legacy code

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add caphtech/claude-marketplace uncertainty-resolution

For use in Claude.ai and ChatGPT

主要功能

01Automated observation task generation with clear success/failure conditions

02Law-Driven Engineering (LDE) integration for promoting validated hypotheses

03Priority-based Uncertainty Register using Impact/Evidence/Urgency/Effort scoring

04Decision framing to clarify stakes, constraints, and deadlines

05Support for Decision Records and evidence artifacts to maintain project history

060 GitHub stars

使用场景

01Evaluating the technical feasibility and user necessity of a new feature during the MVP phase

02Documenting and verifying business logic assumptions to establish a source of truth for the codebase

03Navigating architectural decisions when integrating complex third-party systems or legacy code