decision-journal
Decision documentation and learning skill for capturing decision context, rationale, and outcomes
npx skills add a5c-ai/babysitter --skill decision-journal --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Decision Journal ## Overview The Decision Journal skill provides systematic capabilities for documenting decisions, tracking outcomes, and extracting organizational learning. It creates a searchable archive of decision context, rationale, and results to improve future decision-making and build institutional knowledge. ## Capabilities - Decision record creation (date, context, options, choice, rationale) - Outcome tracking and hindsight analysis - Decision pattern identification - Calibration tracking over time - Searchable decision archive - Lessons learned extraction - Decision audit trail - Report generation ## Used By Processes - Decision Documentation and Learning - Cognitive Bias Debiasing Process - Decision Quality Assessment ## Usage ### Decision Record ```python # Create decision record decision_record = { "metadata": { "id": "DEC-2024-0042", "title": "Market Expansion into Southeast Asia", "date": "2024-01-15", "decision_maker": "Executive Committee", "stakeholders": ["CEO", "CFO", "VP International", "Regional Directors"], "category": "Strategic", "tags": ["expansion", "international", "growth"] }, "context": { "situation": "Company has saturated domestic market with 35
- Overview
- Capabilities
- Used By Processes
- Usage
- Decision Record
- Outcome Tracking
- Pattern Analysis
- Input Schema
- Output Schema
- Decision Quality Framework
- Best Practices
- Integration Points
What does the decision-journal skill do?
Decision documentation and learning skill for capturing decision context, rationale, and outcomes
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill decision-journal --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
