An AI-assisted 8D reporting workflow that guides teams through D1-D8 problem solving and generates a structured report with optional Word export.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-8d-report-assistant
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 skill-8d-report-assistant 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 8D Report Generation Skill?
Openclaw Skills for 8D reporting guides users through a stepwise, dialogue-based problem-solving workflow that captures every part of D1-D8. It turns incomplete quality issues into a structured, evidence-backed report by asking focused questions, tracking progress, and organizing responses into clear tables and hierarchy.
The skill is designed for quality-sensitive teams, especially automotive and manufacturing, where root-cause analysis, containment, corrective action, validation, and closure must be documented precisely. It first produces a Markdown report for review, then can generate a Word document on demand with python-docx, making Openclaw Skills practical for both collaboration and formal delivery.
8D Report Generation Skill Use Cases
- Generating a complete 8D report after a customer complaint, defect escape, or internal nonconformance.
- Running guided root-cause analysis with 5M1E and 5 Why when the team needs more than a summary.
- Documenting temporary containment actions, inventory checks, and responsibility owners during an incident.
- Producing a reviewable Markdown draft before exporting a formal Word version.
- Standardizing quality reporting across automotive lines, suppliers, and manufacturing projects.
- Updating an existing report midstream when new evidence arrives or a stakeholder requests changes.
How 8D Report Generation Skill Works
- Collect header metadata such as issue number, project, dates, customer, product, and report status.
- Build the response team in D1, including leader, members, roles, and communication channels.
- Capture the problem in D2 and contain it in D3 with actions, inventory checks, and accountable owners.
- Analyze root cause in D4 using 5M1E plus 5 Why, separating occurrence cause from escape cause.
- Define D5 corrective actions and D6 validation criteria, then measure whether the fix meets the target.
- Record D7 preventive controls, document updates, training, and rollout scope.
- Finalize D8 closure conditions, summarize lessons learned, render the Markdown report, and export Word only after user confirmation.
8D Report Generation Skill Setup
To run Openclaw Skills for 8D reporting, install the required Python dependency, keep the helper script available, and use the guided conversation to collect structured data before export.
- Create or activate a Python environment.
python -m venv .venv
source .venv/bin/activate
- Install the Word export dependency.
pip install python-docx==0.8.11
- Verify the generation script and reference docs are present.
ls scripts/generate_8d_report.py
ls references/8d-methodology.md references/dialogue-guide.md
Gather the 8D input data during the conversation. No prebuilt template is required; the report is assembled directly from structured fields.
When the user confirms the draft, export the Word document.
python scripts/generate_8d_report.py --output ./8d-report-<issue-id>-<date>.docx --data '<JSON payload>'
- Review the generated
.docxfile and rerun export if the report was modified.
8D Report Generation Skill Data Schema & Taxonomy
Openclaw Skills organizes 8D inputs as a hierarchical D0-D8 record, then renders the same structure into Markdown and, optionally, Word.
| Layer | Key fields | Purpose |
|---|---|---|
| D0 / Header metadata | issue_id, issue_date, start_date, planned_finish_date, customer_name, project_name, product_name | Report identity, traceability, and timing |
| D1 Team | leader_name, leader_title, phone, email, members[], communication_method | Ownership and communication setup |
| D2 Problem description | symptom, location, first_found_at, duration, frequency, impact, evidence_refs[] | Factual statement of the issue |
| D3 Temporary containment | containment_actions[], inventory_status[], inspection_results[], owner, timestamps, risks[] | Immediate risk control and protection |
| D4 Root cause analysis | 5M1E findings, escape_analysis, why_chain[], root_cause_summary | Occurrence and escape cause analysis |
| D5 Permanent corrective action | actions[], feasibility, owner, due_date, required_resources | Fix planning and implementation |
| D6 Effectiveness verification | method, period, target, result, verifier, validation_report_id | Proof that the fix works |
| D7 Preventive action | prevention_actions[], doc_updates[], rollout_scope, training_items[] | Recurrence prevention and standardization |
| D8 Closure | closure_conditions, follow_up_owner, review_date, lesson_learned | Formal closeout and lessons learned |
Generated artifacts and metadata:
- Markdown report displayed in chat for review before export.
- Optional Word file named
8d-report-<issue-id>-<date>.docx. - Helper script:
scripts/generate_8d_report.py. - Reference guides:
references/8d-methodology.mdandreferences/dialogue-guide.md. - Footer metadata typically includes generation date and draft status.
Data quality expectations:
- Use concrete values, counts, dates, and record IDs.
- Prefer evidence references over generic statements.
- Keep each D section self-contained so the report remains auditable.
8D Report Generation Skill Advanced Features
- Stepwise conversational intake that asks only 1-2 questions at a time and shows progress.
- Flexible interruption handling with
fill now,fill later, orskipfor missing details without breaking the workflow. - Midstream edits with
modify XXto jump back to D4, D5, or any other section. - Evidence-first formatting with tables, numeric metrics, dates, and record IDs to reduce vague language.
- Markdown-first output so teams can review before creating the Word document.
- On-demand
.docxgeneration throughpython-docxandscripts/generate_8d_report.py. - Strong support for 5M1E and 5 Why analysis inside the D4 root-cause section.
- Openclaw Skills keeps the report generation workflow reviewable by separating data collection, draft output, and Word export.
SKILL.md
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