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Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Morning market briefing with stock picks for US and Korean markets. Generates a daily report covering macro environment, sector rotation, 10-12 actionable predictions (5-6 per market) with BUY/WATCH/HOLD/AVOID/SELL labels and Korean reasoning, plus an auto-Toss-synced portfolio review section recommending hold/add/trim/exit per current position. Each pick is logged as a formal prediction for track record tracking. Triggers on keywords like daily briefing, morning report, market overview, today's picks, what should I trade, 오늘 시장, 일일 브리핑.
Stock expectation analysis. Combines algorithmic technical scoring + structured news/sentiment + LLM macro/narrative context + multi-horizon directional predictions to emit a deterministic BUY / WATCH / HOLD / AVOID / SELL recommendation per stock. Modes: (1) /expect KR or /expect US auto-discover 5 trending stocks, (2) /expect NVDA or /expect 삼성전자 single-ticker deep dive, (3) /expect NVDA,AMD,AVGO multi-ticker batch, (4) /expect ALL or /expect runs both markets. Triggers: expect, expectation, stock picks, what should I buy, hot stocks, trending stocks, buy or sell, 기대값, 종목 추천, 뭐 사야돼, 매수, 매도, 핫한 종목
Monthly ISA contribution briefing for the long-term Korean ETF book. Values the ISA portfolio, checks drift vs the approved target allocation, optionally proposes a tilt (code-clamped to ±10%p), runs the sell-free contribution allocator, and composes a Korean briefing with per-ETF buy amounts, track record vs benchmarks, and the decision-log id. Triggers on keywords like isa, ISA 브리핑, 적립, 월 적립, 리밸런싱, ETF 적립, isa briefing, monthly contribution.
Unified forward catalyst timeline + deterministic R3 event-risk gate. Merges the FMP earnings calendar (US-listed) and economic calendar (FOMC/CPI/NFP) into one timeline, then turns imminent binary events into label caps and confidence trims so /expect and daily-briefing don't issue fresh BUY calls right into an earnings print or a Fed decision. Triggers: catalyst, event risk, earnings risk, event gate, upcoming earnings, FOMC, CPI, NFP, macro event, 이벤트 리스크, 실적 발표 임박, 캐털리스트.
Set and monitor price-level alerts for a saved watchlist plus open predictions and portfolio positions. Fires Korean Telegram alerts when the latest close touches an entry zone, stop, target, or re-entry level. DELAYED / EOD-ish, not real-time. Use when the user wants to track entry/exit levels, set an alert, or watch tickers. Triggers on keywords like watchlist, alerts, set alert, entry zone, 워치리스트, 관심종목, 알림.
Decide when to exit, trim, add to, or hold each current holding. Layers an ATR chandelier trailing stop, R:R take-profit, and linked-prediction thesis invalidation on top of the portfolio. Use when the user asks to check positions, where to set stops, when to take profit, or whether to sell. Triggers on "포지션 점검", "손절", "익절", "트레일링 스탑", "언제 팔아", "exit check", "trim", "take profit", "when to sell", "stop loss", "trailing stop".
| name | edge-signal-aggregator |
| description | Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection. |
Combine outputs from multiple upstream edge-finding skills into a single weighted conviction dashboard. This skill applies configurable signal weights, deduplicates overlapping themes, flags contradictions between skills, and ranks composite edge ideas by aggregate confidence score. The result is a prioritized edge shortlist with provenance links to each contributing skill.
pyyaml (standard in most environments)Collect output files from the upstream skills you want to aggregate:
reports/edge_candidate_*.json from edge-candidate-agentreports/edge_concepts_*.yaml from edge-concept-synthesizerreports/theme_detector_*.json from theme-detectorreports/sector_analyst_*.json from sector-analystreports/institutional_flow_*.json from institutional-flow-trackerreports/edge_hints_*.yaml from edge-hint-extractorExecute the aggregator script with paths to upstream outputs:
uv run python .claude/skills/edge-signal-aggregator/scripts/aggregate_signals.py \
--edge-candidates reports/edge_candidate_agent_*.json \
--edge-concepts reports/edge_concepts_*.yaml \
--themes reports/theme_detector_*.json \
--sectors reports/sector_analyst_*.json \
--institutional reports/institutional_flow_*.json \
--hints reports/edge_hints_*.yaml \
--output-dir reports/
Optional: Use a custom weights configuration:
uv run python .claude/skills/edge-signal-aggregator/scripts/aggregate_signals.py \
--edge-candidates reports/edge_candidate_agent_*.json \
--weights-config skills/edge-signal-aggregator/assets/custom_weights.yaml \
--output-dir reports/
Open the generated report to review:
Filter the shortlist by minimum conviction threshold:
uv run python .claude/skills/edge-signal-aggregator/scripts/aggregate_signals.py \
--edge-candidates reports/edge_candidate_agent_*.json \
--min-conviction 0.7 \
--output-dir reports/
{
"schema_version": "1.0",
"generated_at": "2026-03-02T07:00:00Z",
"config": {
"weights": {
"edge_candidate_agent": 0.25,
"edge_concept_synthesizer": 0.20,
"theme_detector": 0.15,
"sector_analyst": 0.15,
"institutional_flow_tracker": 0.15,
"edge_hint_extractor": 0.10
},
"min_conviction": 0.5,
"dedup_similarity_threshold": 0.8
},
"summary": {
"total_input_signals": 42,
"unique_signals_after_dedup": 28,
"contradictions_found": 3,
"signals_above_threshold": 12
},
"ranked_signals": [
{
"rank": 1,
"signal_id": "sig_001",
"title": "AI Infrastructure Capex Acceleration",
"composite_score": 0.87,
"contributing_skills": [
{
"skill": "edge_candidate_agent",
"signal_ref": "ticket_2026-03-01_001",
"raw_score": 0.92,
"weighted_contribution": 0.23
},
{
"skill": "theme_detector",
"signal_ref": "theme_ai_infra",
"raw_score": 0.85,
"weighted_contribution": 0.13
}
],
"tickers": ["NVDA", "AMD", "AVGO"],
"direction": "LONG",
"time_horizon": "3-6 months",
"confidence_breakdown": {
"multi_skill_agreement": 0.30,
"signal_strength": 0.35,
"recency": 0.22
}
}
],
"contradictions": [
{
"contradiction_id": "contra_001",
"description": "Conflicting sector view on Energy",
"skill_a": {
"skill": "sector_analyst",
"signal": "Energy sector bearish rotation",
"direction": "SHORT"
},
"skill_b": {
"skill": "institutional_flow_tracker",
"signal": "Heavy institutional buying in XLE",
"direction": "LONG"
},
"resolution_hint": "Check timeframe mismatch (short-term vs long-term)"
}
],
"deduplication_log": [
{
"merged_into": "sig_001",
"duplicates_removed": ["theme_detector:ai_compute", "edge_hints:datacenter_demand"],
"similarity_score": 0.92
}
]
}
The markdown report provides a human-readable dashboard:
# Edge Signal Aggregator Dashboard
**Generated:** 2026-03-02 07:00 UTC
## Summary
- Total Input Signals: 42
- Unique After Dedup: 28
- Contradictions: 3
- High Conviction (>0.7): 12
## Top 10 Edge Ideas by Conviction
### 1. AI Infrastructure Capex Acceleration (Score: 0.87)
- **Tickers:** NVDA, AMD, AVGO
- **Direction:** LONG | **Horizon:** 3-6 months
- **Contributing Skills:**
- edge-candidate-agent: 0.92 (ticket_2026-03-01_001)
- theme-detector: 0.85 (theme_ai_infra)
- **Confidence Breakdown:** Agreement 0.30 | Strength 0.35 | Recency 0.22
...
## Contradictions Requiring Review
### Energy Sector Conflict
- **sector-analyst:** Bearish rotation (SHORT)
- **institutional-flow-tracker:** Heavy buying XLE (LONG)
- **Hint:** Check timeframe mismatch
## Deduplication Summary
- 14 signals merged into 8 unique themes
- Average similarity of merged signals: 0.89
Reports are saved to reports/ with filenames:
edge_signal_aggregator_YYYY-MM-DD_HHMMSS.jsonedge_signal_aggregator_YYYY-MM-DD_HHMMSS.mdscripts/aggregate_signals.py -- Main aggregation script with CLI interfacereferences/signal-weighting-framework.md -- Rationale for default weights and scoring methodologyassets/default_weights.yaml -- Default skill weights configuration