neb-constructive-analysis

Automate structured investigative analysis with evidence-backed findings across debugging, code reviews, and system assessments.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/nebinfra/nebcore-ai-skills --skill neb-constructive-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: neb-constructive-analysis
Source: https://github.com/nebinfra/nebcore-ai-skills/tree/main/neb-constructive-analysis
Command: npx skills add https://github.com/nebinfra/nebcore-ai-skills --skill neb-constructive-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Research-first investigation pipeline — enforces constructive, blame-free analysis with evidence-backed claims, enabling teams to diagnose issues, review code, and deliver actionable findings without blame.

Core Features & Use Cases

  • Six-phase investigation workflow: GATHER → ANALYZE → CONTEXTUALIZE → DRAFT → TONE-CHECK → DELIVER.
  • Activates when the prompt-investigation-gate injects it via additionalContext, and can be referenced directly by engineers seeking structured analysis.
  • Supports on-demand references and prior-memory integration through the references/ directory to enrich findings.

Quick Start

Feed the latest incident artifacts (logs, configs, code history) into the six-phase pipeline to generate a structured constructive-analysis draft.

Frequently Asked Questions about neb-constructive-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct a blame-free root cause analysis for a software incident?

Blame-free root cause analysis is automated by feeding incident artifacts like logs and code history into a six-phase investigative pipeline that produces structured, evidence-backed findings without assigning blame.

What is the best way to structure code review findings with evidence?

Code review findings are structured using the Observation, Context, Recommendation (OCR) format, ensuring every claim is evidence-backed and contextualized before delivery.

How do I calibrate the depth of an incident investigation?

Incident investigation depth is calibrated during the drafting phase by selecting Quick Triage, Standard, or Deep Root Cause Analysis levels based on the complexity of the available artifacts.

Can I integrate prior memory and references into a system assessment?

Prior memory and references can be integrated into a system assessment by loading supplementary context from the references directory to enrich the investigative findings.

Does the constructive analysis workflow verify findings before delivery?

The constructive analysis workflow enforces a mandatory verification step during the Tone-Check and Deliver phases to ensure all claims are validated and constructively phrased before final output.

What do I need to start an evidence-backed investigation of a debugging incident?

To start an evidence-backed investigation, you need to gather incident artifacts such as application logs, system configurations, and code history to feed into the initial analysis phase.