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.
npx skills add BaggaT236/AI-Trading-Skills --skill edge-pipeline-orchestrator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 auto_detect 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 apply_revisions and re-review - Remaining REVISE after max iterations downgraded to research_probe 7. Export eligible drafts (PASS + export_ready_v1 + exportable entry_family) 8. Write pipeline_run_manifest.json with full execution trace ## CLI Usage ```bash # Full pipeline from tickets
- When to Use
- Workflow
- CLI Usage
- Output
- Claude Code LLM-Augmented Workflow
- Optional Flags
- Resources
Full pipeline from tickets python3 scripts/orchestrate_edge_pipeline.py \ Full pipeline from OHLCV Resume from drafts stage Review-only mode Dry run (no export)
What does the edge-pipeline-orchestrator skill do?
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.
How do I install it?
Run `npx skills add BaggaT236/AI-Trading-Skills --skill edge-pipeline-orchestrator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.