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Abstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.
How this skill is triggered — by the user, by Claude, or both
Slash command
/trading-strategy-tools:edge-concept-synthesizerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Create an abstraction layer between detection and strategy implementation.
Create an abstraction layer between detection and strategy implementation.
This skill clusters ticket evidence, summarizes recurring conditions, and outputs edge_concepts.yaml with explicit thesis and invalidation logic.
PyYAMLtickets/exportable, tickets/research_only)hints.yamledge_concepts.yaml containing:
hints.yaml for context matching.scripts/synthesize_edge_concepts.py.python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
--tickets-dir /tmp/edge-auto/tickets \
--hints /tmp/edge-hints/hints.yaml \
--output /tmp/edge-concepts/edge_concepts.yaml \
--min-ticket-support 2
# With hint promotion and synthetic cap
python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
--tickets-dir /tmp/edge-auto/tickets \
--hints /tmp/edge-hints/hints.yaml \
--output /tmp/edge-concepts/edge_concepts.yaml \
--promote-hints \
--max-synthetic-ratio 1.5
# With custom dedup threshold (or disable dedup)
python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
--tickets-dir /tmp/edge-auto/tickets \
--output /tmp/edge-concepts/edge_concepts.yaml \
--overlap-threshold 0.6
python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \
--tickets-dir /tmp/edge-auto/tickets \
--output /tmp/edge-concepts/edge_concepts.yaml \
--no-dedup
skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.pyreferences/concept_schema.mdnpx claudepluginhub pasie15/claude-trading-skills-marketplace --plugin trading-strategy-toolsProvides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.