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/edge-pipeline-orchestrator

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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.

Use this Skill: https://skilld.dev/gh/tradermonty/claude-trading-skills/edge-pipeline-orchestrator

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referencespipeline_flow.md

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Edge Pipeline Flow

Pipeline Stages

OHLCV / Tickets
       |
       v
 [auto_detect] ───> tickets/
       |
       v
 [hints]       ───> hints.yaml
       |
       v
 [concepts]    ───> edge_concepts.yaml
       |
       v
 [drafts]      ───> drafts/*.yaml  +  exportable_tickets/*.yaml
       |
       v
 [review]  <──────────────────────┐
       |                          |
       ├── PASS   → accumulated   |
       ├── REJECT → accumulated   |
       └── REVISE → [revision] ───┘  (max 2 iterations)
                          |
                   remaining REVISE → research_probe downgrade
       |
       v
 [export]      ───> strategies/<candidate_id>/

Stage Script Mapping

Stage Script Path
auto_detect skills/edge-candidate-agent/scripts/auto_detect_candidates.py
hints skills/edge-hint-extractor/scripts/build_hints.py
concepts skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py
drafts skills/edge-strategy-designer/scripts/design_strategy_drafts.py
review skills/edge-strategy-reviewer/scripts/review_strategy_drafts.py
export skills/edge-candidate-agent/scripts/export_candidate.py

Data Contracts

auto_detect output (tickets/)

Each ticket is a YAML file with at minimum:

  • id: unique ticket identifier
  • hypothesis_type: breakout, earnings_drift, etc.
  • entry_family: pivot_breakout, gap_up_continuation, or research_only
  • priority_score: 0-100 numeric score

hints output (hints.yaml)

generated_at_utc: "2026-01-01T00:00:00+00:00"
hints:
  - title: "Breadth-supported breakout regime"
    observation: "..."
    symbols: [AAPL, MSFT]
    regime_bias: "RiskOn"
    mechanism_tag: "behavior"

concepts output (edge_concepts.yaml)

concept_count: 3
concepts:
  - id: edge_concept_breakout_behavior_riskon
    hypothesis_type: breakout
    strategy_design:
      recommended_entry_family: pivot_breakout
      export_ready_v1: true

drafts output (drafts/*.yaml)

Each draft YAML file contains:

  • id: draft identifier (draft_<concept_id>_<variant>)
  • concept_id: source concept
  • variant: core, conservative, or research_probe
  • entry_family: pivot_breakout, gap_up_continuation, or research_only
  • export_ready_v1: boolean
  • entry.conditions: list of condition strings
  • entry.trend_filter: list of trend filter strings
  • exit: stop_loss_pct, take_profit_rr
  • risk: position sizing parameters

review output (reviews/*.yaml)

Each review YAML contains:

  • draft_id: matching draft identifier
  • verdict: PASS, REVISE, or REJECT
  • revision_instructions: list of strings (for REVISE verdicts)
  • confidence_score: 0-100

export output (strategies/<candidate_id>/)

  • strategy.yaml: Phase I-compatible strategy specification
  • metadata.json: provenance and research context

Exportable Entry Families

Only these families can be exported to the trade-strategy-pipeline:

  • pivot_breakout
  • gap_up_continuation

All other families (research_only, etc.) remain as research probes.

Source: SKILL.md on GitHub

1 warning16d5 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    The skill is an orchestration pipeline that coordinates local research stages by executing local Python scripts within the repository context. It handles script invocation securely and uses safe YAML parsing methods.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

  • Runlayer7mo

    3/6 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

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Last checked against GitHub 17 hours ago.

Activeupdated 7 months ago

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