decision-logDecision recording + result tracking skill
Install via ClawdBot CLI:
clawdbot install mupengi-bot/decision-logSkill for recording important decisions and automatically tracking results after 30 days.
memory/decisions/YYYY-MM-DD-{slug}.mdTrigger keywords:
Example:
Record decision: Decided to separate Instagram bot account
Rationale: Distribute main account ban risk
Alternatives: Use main account, manual operation
Expected results: Increased safety, increased management complexity
# Decision: {title}
**Date**: YYYY-MM-DD
**Status**: Decided / Review Pending / Results Confirmed
## Decision Content
...
## Rationale
- ...
- ...
## Alternatives Considered
1. **Alternative 1**: ...
- Pros: ...
- Cons: ...
2. **Alternative 2**: ...
## Expected Results
- Positive: ...
- Negative: ...
## Actual Results (Auto-update after 30 days)
_Review date: YYYY-MM-DD_
---
**Decision date**: YYYY-MM-DD | **Review date**: YYYY-MM-DD (scheduled)
After 30 days, automatically:
Publish event when recording decision:
events/decision-YYYY-MM-DD.json{
"type": "decision-logged",
"timestamp": "2026-02-14T12:00:00Z",
"title": "Decision title",
"reviewDate": "2026-03-16",
"filePath": "memory/decisions/2026-02-14-slug.md"
}
decision-log | 무펭이 🐧
Generated Mar 1, 2026
Teams can use this skill to log key product decisions, such as feature prioritization or technology stack choices, ensuring rationale and alternatives are documented. After 30 days, the auto-review compares expected outcomes like user adoption rates with actual results, helping refine future development cycles and avoid repeated mistakes.
Marketing departments can record decisions on campaign strategies, such as channel selection or budget allocation, with expected results like engagement metrics. The automatic review after 30 days analyzes performance data against predictions, extracting insights to optimize future campaigns and improve ROI.
Organizations can log decisions related to operational changes, such as process automation or supplier selection, documenting rationale and risks. The 30-day review assesses actual outcomes like efficiency gains or cost savings, providing lessons to enhance risk mitigation and operational resilience.
Individuals can use this skill to record career-related decisions, such as job changes or skill investments, with expected results like salary increases. The auto-review compares these with actual outcomes after 30 days, offering personalized insights to guide future career moves and professional growth.
Offer this skill as part of a subscription-based AI agent platform, where users pay monthly for access to decision-logging and auto-review features. Revenue is generated through tiered pricing based on usage volume or advanced analytics, targeting teams and enterprises seeking structured decision-making tools.
Sell enterprise licenses to large organizations for integrating the skill into their internal systems, such as project management or CRM platforms. Revenue comes from one-time licensing fees or annual contracts, with customization options for specific industry needs like compliance tracking or audit trails.
Provide a free version with basic decision recording and limited reviews, while premium features like advanced analytics, team collaboration, or extended cron integrations require payment. Revenue is generated from upgrades and add-ons, appealing to individual users and small businesses scaling their decision processes.
💬 Integration Tip
Integrate with existing calendar or project management tools via the event bus to automate decision reminders and sync review dates, enhancing workflow efficiency.
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