/install decision-recorder
Decision Recorder
Record decisions in a structured format so they can be searched, reviewed, and improved over time.
Core capabilities
- Detect decision-oriented text
- Create structured decision records
- Search and filter past decisions
- Review decision details
- Analyze decision patterns
- Update or delete stored decisions
Commands
Record a decision
decision-recorder record
decision-recorder r
List decisions
decision-recorder list
decision-recorder ls
Search decisions
decision-recorder search \x3Ckeyword>
decision-recorder s \x3Ckeyword>
Analyze patterns
decision-recorder analyze
decision-recorder a
View a specific decision
decision-recorder view \x3Cid>
decision-recorder v \x3Cid>
Update or delete a decision
decision-recorder update \x3Cid>
decision-recorder u \x3Cid>
decision-recorder delete \x3Cid>
decision-recorder d \x3Cid>
Detect decision keywords
decision-recorder detect "We decided to use Node.js"
decision-recorder keywords
Common filters
# Filter by tag
decision-recorder list --tag=important
# Filter by date range
decision-recorder list --from=2024-01-01 --to=2024-12-31
Programmatic usage
const dr = require('decision-recorder');
const record = dr.createDecision({
question: 'Which backend stack should we use?',
options: ['Node.js', 'Python', 'Go'],
reasoning: 'Node.js has the best fit for fast iteration and ecosystem support.',
result: 'Node.js',
context: 'New product launch',
tags: ['architecture', 'backend']
});
const matches = dr.searchDecisions('architecture');
const analysis = dr.analyzeDecisions();
Decision record format
{
"id": "unique-id",
"timestamp": "ISO-8601 timestamp",
"question": "Decision question",
"options": ["Option A", "Option B"],
"reasoning": "Why this choice was made",
"result": "Final choice",
"context": "Background",
"tags": ["tag-a", "tag-b"]
}
Data location
Decision records are stored under:
~/.decision-recorder/
Each decision is stored as a JSON file.
Recommended use cases
- Architecture and technology choices
- Product tradeoff decisions
- Team decisions after discussion
- Operational decisions and retrospectives
- Personal planning and career decisions
Good practice
- Record decisions soon after they are made.
- Capture reasoning, not just outcomes.
- Use tags consistently.
- Review decisions periodically.
- Compare similar decisions over time.
Notes
- Requires Node.js 14 or later.
- Uses local JSON files for storage.
- Works best when reasoning and context are written clearly.
License
MIT
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install decision-recorder - After installation, invoke the skill by name or use
/decision-recorder - Provide required inputs per the skill's parameter spec and get structured output
What is Decision Recorder?
Record, review, search, and analyze decisions from technical work, product work, team discussions, and personal planning. Use when the user wants to capture... It is an AI Agent Skill for Claude Code / OpenClaw, with 333 downloads so far.
How do I install Decision Recorder?
Run "/install decision-recorder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Decision Recorder free?
Yes, Decision Recorder is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Decision Recorder support?
Decision Recorder is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Decision Recorder?
It is built and maintained by haidong (@harrylabsj); the current version is v1.0.1.