A professional decision-tracking skill that records rationales and automatically evaluates results after 30 days.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install decision-log
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 decision-log 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 Decision Log?
The Decision Log skill is a sophisticated tool designed to build institutional memory for both human developers and AI agents. By integrating this into your Openclaw Skills library, you enable a structured workflow for capturing the 'why' behind every choice, including the rationale, considered alternatives, and anticipated outcomes. It moves beyond simple logging by implementing a feedback loop that evaluates the success of decisions over time.
This skill is essential for maintaining clarity in complex projects where technical or strategic pivots occur frequently. By utilizing the Openclaw Skills architecture, it ensures that every significant action is backed by documented intent, which can be queried and reviewed later to refine future decision-making logic.
Decision Log Use Cases
- Documenting architectural changes and technical debt trade-offs during development.
- Recording strategic business pivots to maintain a clear audit trail for stakeholders.
- Tracking the expected versus actual impact of marketing or operational experiments.
- Building a long-term knowledge base for AI agents to understand the context of previous project states.
How Decision Log Works
- The user or AI agent initiates the process using trigger phrases such as "record decision" or "decision log."
- The skill prompts for or extracts key information: the decision content, rationale, alternatives considered, and expected results.
- A structured Markdown file is automatically generated and stored in the localized memory directory for easy version control.
- An event is published to the system event bus, allowing other components of your Openclaw Skills setup to react to the new log.
- After a 30-day period, a cron-integrated task triggers an auto-review process to compare the original expectations against current reality.
Decision Log Setup
To start using this within your Openclaw Skills environment, ensure your file structure is prepared and the skill is registered in your agent's manifest.
# Create the necessary memory directory
mkdir -p memory/decisions
# Configure your agent to recognize the decision-log skill
# (Refer to your specific agent provider documentation for skill registration)
Decision Log Data Schema & Taxonomy
The skill maintains a highly organized data structure to ensure compatibility across different Openclaw Skills implementations:
| Attribute | Format / Location | Description |
|---|---|---|
| Storage Path | memory/decisions/YYYY-MM-DD-{slug}.md |
Standardized file naming convention |
| File Format | Markdown | Includes headers for Date, Status, Rationale, and Expected Results |
| Event Log | events/decision-YYYY-MM-DD.json |
JSON-formatted event published to the system bus |
| Metadata | YAML/Markdown | Tracks 'Decided', 'Review Pending', or 'Results Confirmed' states |
Decision Log Advanced Features
- Cron-based automated review cycles that prompt for result updates after 30 days.
- Event Bus integration that notifies other agents or services when a decision is logged.
- Intelligent lesson extraction that generates insights to improve similar future decisions.
- Support for multi-agent environments where shared memory of past decisions is critical for coordination.
SKILL.md
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