ZerQ is a structured dual-zeroing methodology for separating technical root causes from management process failures in quality problems.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install zerq
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install zerq 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 ZerQ (ZeroQ) Quality Problem Analysis?
ZerQ, also known as ZeroQ, is a quality problem-solving framework designed to guide technical and management root-cause analysis. It complements methods such as 8D, 5 Why, FTA, and FMEA by requiring evidence-based problem localization, clear causal mechanisms, repeatable reproduction, effective corrective action, and prevention across similar products or processes.
As an Openclaw Skills methodology, ZerQ helps turn incomplete quality incidents into disciplined analysis reports, corrective-action plans, validation criteria, and prevention checklists. It is a reasoning framework rather than an execution tool: it does not make network requests, call external APIs, run system commands, or invent missing evidence.
ZerQ (ZeroQ) Quality Problem Analysis Use Cases
- Investigating quality defects, customer complaints, product failures, and process deviations.
- Preparing ZeroQ or ZerQ reports, 8D reports, corrective-action plans, and root-cause summaries.
- Separating technical causes from management or process-control causes.
- Evaluating whether corrective actions actually eliminate the root cause.
- Checking comparable designs, manufacturing processes, and products to prevent recurrence.
- Creating ownership, deadlines, inspection criteria, standards, and lessons-learned records.
- Applying Openclaw Skills to evidence-driven quality investigations without requiring external services.
How ZerQ (ZeroQ) Quality Problem Analysis Works
- Define the observed problem: Capture the failure symptom, affected scope, triggering conditions, and available evidence.
- Complete technical zeroing: Move from phenomenon to precise location, physical, chemical, or logical mechanism, stable reproduction, corrective action, and broader prevention.
- Verify the causal chain: Use experiments, measurements, simulations, or other available evidence to distinguish confirmed causes from hypotheses.
- Complete management zeroing: Reconstruct the process, identify responsible process nodes, assign accountable owners, define deadlines, and record required handling.
- Validate effectiveness: Confirm that corrective actions remove the root cause with measurable evidence rather than assumptions.
- Apply lessons broadly: Review related designs, products, and processes for equivalent risks and update standards, procedures, or checklists.
- Produce the deliverable: Summarize findings, evidence gaps, owners, actions, validation standards, and recurrence-prevention items in a report-ready format.
ZerQ (ZeroQ) Quality Problem Analysis Setup
ZerQ v0.0.1 is a name-reservation release and does not require a runtime, package installation, network access, API key, or external service. Load the skill into an Openclaw Skills-compatible agent and provide the quality incident, known evidence, process context, and desired report format.
# No CLI installation or system command is required for ZerQ v0.0.1.
# Provide incident data directly to the configured skill-enabled agent.
For reliable results, include measurements, test conditions, timelines, affected units, process records, and known corrective actions. When evidence is missing, the skill should label the item as requiring validation rather than infer or fabricate a conclusion. The complete v1.0.x release is planned to add a four-level architecture, scenario routing, and a component-pool mechanism.
ZerQ (ZeroQ) Quality Problem Analysis Data Schema & Taxonomy
ZerQ organizes each investigation around two linked analysis tracks:
| Track | Required dimensions | Typical output |
|---|---|---|
| Technical zeroing | Accurate localization, clear mechanism, reproducibility, effective action, broader application | Technical root cause, evidence chain, corrective action, validation result, recurrence scan |
| Management zeroing | Clear process, explicit responsibility, action execution, formal handling, improved rules | Process failure, accountable owner, deadline, inspection record, procedure or checklist update |
Recommended investigation metadata includes:
- Incident: symptom, date, affected product or process, scope, and trigger conditions.
- Evidence: measurements, experiments, simulations, records, reproduction status, and confidence level.
- Causal chain: observed phenomenon, localized source, mechanism, and confirmed root cause.
- Actions: technical or management action, owner, due date, completion status, and verification method.
- Prevention: related designs, processes, or products reviewed, plus updated standards, procedures, and checklists.
- Evidence gaps: assumptions or unresolved questions explicitly marked for validation.
No files are generated automatically, and no persistent data store is required. A report file may be read or written only when the user explicitly requests it.
ZerQ (ZeroQ) Quality Problem Analysis Advanced Features
- Dual-track analysis distinguishes engineering root causes from process and management causes.
- Five-point technical zeroing enforces localization, mechanism clarity, reproducibility, effectiveness, and broader prevention.
- Five-point management zeroing connects process reconstruction with ownership, execution, formal handling, and institutional learning.
- Evidence-aware reasoning prevents fabricated test results, unsupported responsibility conclusions, and false certainty.
- Validation-oriented outputs define measurable criteria for corrective-action effectiveness.
- Recurrence analysis extends beyond the immediate incident to comparable designs, products, and processes.
- Report-ready structure supports 8D, corrective-action, root-cause, and ZeroQ deliverables.
- Privacy-preserving operation uses no network access, external APIs, subprocesses, sensitive environment variables, or automatic system commands.
- Openclaw Skills integration provides a repeatable quality-analysis workflow while preserving the need for professional engineering judgment.
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