An automated agent workflow that generates deep, recursive 8D problem-solving reports without requiring multi-turn clarification.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install autoskill-8d-problem-solving
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 autoskill-8d-problem-solving 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 Problem Solving Methodology Agent Skill?
The 8D Problem Solving Methodology skill is a structured, recursive workflow engineered for AI agents to analyze incidents and generate comprehensive Eight Disciplines (8D) reports in a single turn. It prevents incomplete outputs by requiring the agent to build a full multi-level task decomposition checklist prior to writing the report, ensuring thorough root-cause investigation.
This framework is optimized for integration with Openclaw Skills, allowing development and operations teams to systematically diagnose software errors, data quality anomalies, or operational failures using standardized 5W2H analysis and 5Why investigation models.
8D Problem Solving Methodology Agent Skill Use Cases
- Standardizing incident response workflows for development and IT operations teams.
- Performing automated root-cause analysis on software bugs or pipeline failures.
- Generating complete, structured compliance and post-mortem documentation in a single interaction.
- Simulating collaborative problem-solving exercises during team training workshops.
- Formulating and tracking preventive actions for system vulnerabilities within Openclaw Skills integrations.
How 8D Problem Solving Methodology Agent Skill Works
- Initiation: The user provides an initial incident description or bug report.
- Decomposition Check: The agent must first generate a complete multi-level task and subtask node checklist, mapping out the 8D structure before writing the actual report. If details are missing, it populates them with logical placeholders marked as [placeholder].
- Decomposition Audit: Upon completing the task tree, the agent outputs the
#DECOMPOSE_DONEaudit tag. - Synthesis and Investigation: The agent begins drafting the report, initiating with the
#SYNTHESIS_STARTtag. It fills out the D0-D8 template, executing 5W2H problem definition and a rigorous 5Why root-cause discovery down to the systemic or process level. - Completion: The final completed 8D report is returned as a single, fully structured Markdown document with unique line numbers for easy referencing.
8D Problem Solving Methodology Agent Skill Setup
To integrate this 8D problem-solving skill into your workspace, copy the configuration profile into your agent's skill directory:
# Create the skills folder if it does not exist
mkdir -p ~/.clawhub/skills/
# Save the 8D skill configuration
cat << 'EOF' > ~/.clawhub/skills/autoskill-8d-problem-solving.md
# Content from SKILL.md goes here...
EOF
Configure your agent runner to load this skill to leverage standardized problem resolution schemas powered by Openclaw Skills.
8D Problem Solving Methodology Agent Skill Data Schema & Taxonomy
The skill processes data using a structured Markdown template covering nine standard disciplines. Below is the metadata taxonomy and data organization layout:
| Discipline Phase | Component | Data Type / Format |
|---|---|---|
| D0: Preparation | Problem statement, data source, and 8D initiation justification | Markdown text |
| D1: Team | Roles, assigned agent personas, and responsibilities | Table |
| D2: Problem Description | Incident details structured around 5W2H (What, Who, When, Where, Why, How, How Much) | Table |
| D3: Interim Actions | Temporary containment actions, validation status, and verification metrics | Table with status indicators (✅/❌) |
| D4: Root Cause Analysis | Systemic investigation using a structured, recursive 5Why trace | Numbered text block |
| D5: Permanent Corrective Actions | Feasibility assessment and selection of long-term fixes | Table with selection markers |
| D6: Implementation & Verification | Verification methods, timelines, and outcomes | Checklist and status labels |
| D7: Preventive Actions | Process updates, training plans, standard operating procedures, and monitoring rules | Table mapping outputs to files |
| D8: Summary & Closure | Lessons learned, team recognition, and archive details | Text block with archiving paths |
8D Problem Solving Methodology Agent Skill Advanced Features
- Recursive Decomposition: Enforces a minimum of two tiers of task branching prior to generating text, ensuring complete problem-solving depth.
- Implicit Placeholder Assumptions: Automatically synthesizes reasonable default parameters (dates, environments, systems) for missing fields to avoid execution halts.
- Strict Audit Hook Tags: Utilizes
#DECOMPOSE_DONEand#SYNTHESIS_STARTtags to allow upstream orchestrators to track execution phases. - Weekly Progression Trackers: Built-in 4-week learning and application loop structure to monitor human-AI collaborative training.
- Line-Numbered Reference Map: Generates tabular and ordered node trees with unique identifiers, enabling other Openclaw Skills to point back to specific sub-steps.
SKILL.md
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