edge-hint-extractor
De la autor
Extract edge hints from daily market observations and news reactions, with optional LLM ideation, and output canonical hints.yaml for downstream concept synthesis and auto detection.
Instalare
npx skills add BaggaT236/AI-Trading-Skills --skill edge-hint-extractor -a claude-code
Se instalează în .claude/skills/edge-hint-extractor/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 76
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- trade-hypothesis-ideatorBaggaT236/AI-Trading-SkillsGenerate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets. Use when you have a structured input bundle and want ranked hypothesis cards with experiment designs, kill criteria, and optional strategy.yaml export compatible with edge-finder-candidate/v1.Altele★ 137
- edge-signal-aggregatorBaggaT236/AI-Trading-SkillsAggregate 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.Altele★ 137
- edge-concept-synthesizerBaggaT236/AI-Trading-SkillsAbstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.Design★ 137
- edge-strategy-designerBaggaT236/AI-Trading-SkillsConvert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.Altele★ 137
- product-review-extractorsandbaseai/sandbase-skillsExtract and analyze product reviews from e-commerce and review sites. Aggregates ratings, identifies common themes in positive and negative feedback, and surfaces actionable product insights from customer voices across platforms.Inginerie★ 203
- eval-llm-judgeCalibre-Labs/reforge-ai-evalsWrite LLM-as-judge evaluator prompts for AI products. Use this skill whenever you need to evaluate semantic properties of AI outputs that cannot be checked programmatically — output quality, tone, factual accuracy, edge case handling, reference alignment. Also use when auditing existing judge prompts for bias, vagueness, or compound criteria. Output is a judge prompt string and a Python runner function, saved to the project's evaluators file.Redactare★ 85
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