From tradermonty-claude-trading-skills
Orchestrates end-to-end edge research pipeline from OHLCV/tickets through hints, concepts, drafts, review-revision loops, and strategy export via Python CLI. Use for multi-stage trading workflows.
npx claudepluginhub joshuarweaver/cascade-business-ops --plugin tradermonty-claude-trading-skillsThis skill uses the workspace's default tool permissions.
Coordinate all edge research stages into a single automated pipeline run.
Generates design tokens/docs from CSS/Tailwind/styled-components codebases, audits visual consistency across 10 dimensions, detects AI slop in UI.
Records polished WebM UI demo videos of web apps using Playwright with cursor overlay, natural pacing, and three-phase scripting. Activates for demo, walkthrough, screen recording, or tutorial requests.
Delivers idiomatic Kotlin patterns for null safety, immutability, sealed classes, coroutines, Flows, extensions, DSL builders, and Gradle DSL. Use when writing, reviewing, refactoring, or designing Kotlin code.
Coordinate all edge research stages into a single automated pipeline run.
# Full pipeline from tickets
python3 scripts/orchestrate_edge_pipeline.py \
--tickets-dir path/to/tickets/ \
--output-dir reports/edge_pipeline/
# Full pipeline from OHLCV
python3 scripts/orchestrate_edge_pipeline.py \
--from-ohlcv path/to/ohlcv.csv \
--output-dir reports/edge_pipeline/
# Resume from drafts stage
python3 scripts/orchestrate_edge_pipeline.py \
--resume-from drafts \
--drafts-dir path/to/drafts/ \
--output-dir reports/edge_pipeline/
# Review-only mode
python3 scripts/orchestrate_edge_pipeline.py \
--review-only \
--drafts-dir path/to/drafts/ \
--output-dir reports/edge_pipeline/
# Dry run (no export)
python3 scripts/orchestrate_edge_pipeline.py \
--tickets-dir path/to/tickets/ \
--output-dir reports/edge_pipeline/ \
--dry-run
All artifacts are written to --output-dir:
output-dir/
├── pipeline_run_manifest.json
├── tickets/ (from auto_detect)
├── hints/hints.yaml (from hints)
├── concepts/edge_concepts.yaml
├── drafts/*.yaml
├── exportable_tickets/*.yaml
├── reviews_iter_0/*.yaml
├── reviews_iter_1/*.yaml (if needed)
└── strategies/<candidate_id>/
├── strategy.yaml
└── metadata.json
Run the LLM-augmented pipeline entirely within Claude Code:
market_summary.json + anomalies.json- title: Sector rotation into industrials
observation: Tech underperforming while industrials show relative strength
symbols: [CAT, DE, GE]
regime_bias: Neutral
mechanism_tag: flow
preferred_entry_family: pivot_breakout
hypothesis_type: sector_x_stock
--llm-ideas-file and --promote-hints:python3 scripts/orchestrate_edge_pipeline.py \
--tickets-dir path/to/tickets/ \
--llm-ideas-file llm_hints.yaml \
--promote-hints \
--as-of 2026-02-28 \
--max-synthetic-ratio 1.5 \
--strict-export \
--output-dir reports/edge_pipeline/
--as-of YYYY-MM-DD — forwarded to hints stage for date filtering--strict-export — export-eligible drafts with any warn finding get REVISE instead of PASS--max-synthetic-ratio N — cap synthetic tickets to N × real ticket count (floor: 3)--overlap-threshold F — condition overlap threshold for concept deduplication (default: 0.75)--no-dedup — disable concept deduplicationNote: --llm-ideas-file and --promote-hints are effective only during full pipeline runs.
--resume-from drafts and --review-only skip hints/concepts stages, so these flags are ignored.
references/pipeline_flow.md — Pipeline stages, data contracts, and architecturereferences/revision_loop_rules.md — Review-revision feedback loop rules and heuristics