# discussion-summarizer - Generate a summary of the discussion
# Usage: cat discussion.md | discussion-summarizer > discussion.sum.md

name: discussion-summarizer
description: Generate a summary of the discussion
category: Discussion

arguments:
  - flag: --format
    variable: format
    default: "markdown"
    description: Output format (markdown, json)

steps:
  # First, parse the discussion
  - type: code
    code: |
      import subprocess
      import json

      # Call discussion-parser
      result = subprocess.run(
          ['discussion-parser'],
          input=input,
          capture_output=True,
          text=True
      )

      if result.returncode != 0:
          # Fallback: basic parsing
          parsed = json.dumps({
              "metadata": {},
              "comments": [],
              "vote_summary": {"READY": 0, "CHANGES": 0, "REJECT": 0, "total": 0},
              "questions": [],
              "concerns": [],
              "decisions": []
          })
      else:
          parsed = result.stdout
    output_var: parsed

  # Then, generate summary with AI
  - type: prompt
    prompt: |
      Summarize this discussion concisely for quick reference.

      ## Parsed State
      {parsed}

      ## Full Discussion
      {input}

      Generate a summary with these sections:

      # Discussion Summary

      ## Status
      - Current phase and status
      - Consensus state (reached/not reached, vote counts)

      ## Key Points
      - Main arguments and positions (bullet points)
      - Areas of agreement
      - Areas of disagreement

      ## Open Questions
      - Unresolved questions that need answers

      ## Concerns
      - Security, architecture, or other concerns raised

      ## Decisions Made
      - Any decisions recorded in the discussion

      ## Blockers
      - What's preventing progress

      ## Next Steps
      - What needs to happen next

      Keep it brief and actionable. Use bullet points.
    provider: claude-haiku
    output_var: summary

output: "{summary}"