Decision documentation and learning skill for capturing decision context, rationale, and outcomes
Documents decisions with rationale and tracks outcomes to improve future decision-making.
npx claudepluginhub a5c-ai/babysitterThis skill is limited to using the following tools:
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.
# 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% share. Growth targets require new markets.",
"time_horizon": "5 years",
"constraints": ["$50M investment cap", "Must leverage existing product line", "Partner preference over greenfield"],
"urgency": "Medium - 12-month window before competitor moves"
},
"options_considered": [
{
"name": "Enter Vietnam first",
"pros": ["Fastest growing economy", "Favorable demographics", "Existing distributor relationship"],
"cons": ["Regulatory complexity", "IP protection concerns"],
"expected_outcomes": {"NPV": 25000000, "probability_success": 0.65}
},
{
"name": "Enter Singapore as hub",
"pros": ["Strong IP protection", "Gateway to ASEAN", "Talent availability"],
"cons": ["Higher costs", "Smaller direct market"],
"expected_outcomes": {"NPV": 18000000, "probability_success": 0.80}
},
{
"name": "Defer 1 year",
"pros": ["More market intelligence", "Economic uncertainty resolution"],
"cons": ["Competitor advantage", "Momentum loss"],
"expected_outcomes": {"NPV": 15000000, "probability_success": 0.75}
}
],
"decision": {
"choice": "Enter Singapore as hub",
"rationale": "Higher probability of success outweighs NPV difference. Hub strategy enables sequential expansion with lower risk.",
"key_assumptions": [
"Singapore cost structure remains competitive",
"ASEAN trade agreements stable",
"Partner availability in year 2-3"
],
"dissenting_views": ["CFO preferred Vietnam for higher NPV potential"]
},
"implementation": {
"key_milestones": [
{"date": "2024-Q2", "milestone": "Entity established"},
{"date": "2024-Q4", "milestone": "First local hire"},
{"date": "2025-Q2", "milestone": "First revenue"}
],
"success_metrics": ["Revenue", "Market share", "Partner pipeline"],
"review_dates": ["2024-07-15", "2025-01-15", "2025-07-15"]
}
}
# Record outcome
outcome_record = {
"decision_id": "DEC-2024-0042",
"review_date": "2025-01-15",
"actual_outcomes": {
"milestones_met": 2,
"milestones_total": 3,
"revenue": 2500000,
"market_share": 0.02,
"unexpected_events": ["COVID variant impact Q3", "Key competitor exited"]
},
"assessment": {
"outcome_vs_expected": "Better than expected",
"decision_quality_vs_outcome": "Good decision, good outcome",
"key_learnings": [
"Hub strategy provided flexibility during disruption",
"Underestimated talent availability"
],
"would_decide_differently": False,
"process_improvements": ["Include pandemic scenarios in future expansion decisions"]
}
}
# Query patterns
pattern_query = {
"analysis_type": "calibration",
"filters": {
"category": "Strategic",
"date_range": ["2022-01-01", "2024-12-31"],
"decision_maker": "Executive Committee"
},
"metrics": [
"probability_calibration",
"npv_accuracy",
"timeline_accuracy",
"success_rate_by_category"
]
}
{
"operation": "create|update|outcome|query|report",
"decision_record": {
"metadata": "object",
"context": "object",
"options_considered": ["object"],
"decision": "object",
"implementation": "object"
},
"outcome_record": {
"decision_id": "string",
"actual_outcomes": "object",
"assessment": "object"
},
"query": {
"filters": "object",
"analysis_type": "string"
}
}
{
"decision_record": {
"id": "string",
"created": "string",
"status": "string"
},
"query_results": {
"decisions": ["object"],
"patterns": {
"calibration": {
"overconfidence_rate": "number",
"npv_bias": "number",
"timeline_bias": "number"
},
"success_factors": ["string"],
"common_mistakes": ["string"]
}
},
"report_path": "string"
}
The skill supports the 6-element DQ framework:
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
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This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.