Agent skill · product strategy · tradermonty
edge-pipeline-orchestrator
Orchestrate the full edge research pipeline from candidate detection through strategy design, review, revision, and export. Use when coordinating multi-stage edge research workflows end-to-end.
Why this skill is useful
Adds a complete executable pipeline orchestration script for edge research that automates multiple stages and integrates LLM insights.
What it needs
Requires python3 installed locally. About 2k tokens when loaded. Last updated 2026-08-06. 2,581 stars on the source repository.
What this skill does
Edge Pipeline Orchestrator Coordinate all edge research stages into a single automated pipeline run. When to Use Run the full edge pipeline from tickets (or OHLCV) to exported strategies Resume a partially completed pipeline from the drafts stage Review and revise existing strategy drafts with feedback loop Dry-run the pipeline to preview results without exporting Workflow 1. Load pipeline configuration from CLI arguments 2. Run autodetect stage if --from-ohlcv is provided (generates tickets from raw OHLCV data) 3. Run hints stage to extract edge hints from market summary and anomalies 4. Run concepts stage to synthesize abstract edge concepts from tickets and hints 5. Run drafts stage to design strategy drafts from concepts 6. Run review-revision feedback loop: Review all drafts (max 2 iterations) PASS verdicts accumulated; REJECT verdicts accumulated REVISE verdicts trigger applyrevisions and re-review Remaining REVISE after max iterations downgraded to researchprobe 7. Export eligible drafts (PASS + exportreadyv1 + exportable entryfamily) 8. Write pipelinerunmanifest.json with full execution trace CLI Usage Output All artifacts are written to --output-dir: Claude Code LLM-Augmented Workflow Run the LLM-augmented pipeline entirely within Claude Code: 1. Run autodetect to produce marketsummary.json + anomalies.json 2. Claude Code analyzes data and generates edge hints 3. Save hints to a YAML file: 4. Run orchestrator with --llm-ideas-file and --promote-hints: Optional Flags --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 deduplication Note: --llm-ideas-file and --promote-hints are effective only during full pipeline runs. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills tradermonty/edge-pipeline-orchestrator