Dialogue Parser
SkillDev toolsParses dialogue script text into intermediate section structures using regex, then builds a validated JSON graph schema with typed nodes and edges. Handles section headers, speaker lines, numbered choices with optional tags, and edge targets.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Dialogue Parser skill
What this skill tells your AI
The instructions your AI receives, as published by openlair/openskill in tasks-evolved/dialogue-parser/environment/skills/evo-dialogue-parser/SKILL.md and read by ahel’s review.
This skill parses raw dialogue script text files into a structured JSON graph.
Parsing Rules
- Section headers:
[NodeName]on their own line - Speaker lines:
Speaker: text -> Target(target optional) - Choice lines:
N. [OptionalTag] Choice text -> Target - Node type is "choice" if section has numbered choices, else "line"
Output Schema
{"nodes": [{"id": str, "text": str, "speaker": str, "type": str}], "edges": [{"from": str, "to": str, "text": str}]}
Key Functions
parse_dialogue_text(script_text)- Parse raw text into intermediate sectionsbuild_json_graph(sections)- Convert sections to graph schemavalidate_graph(graph)- Validate reachability and edge targetsparse_script(script_text)- End-to-end: parse, build, validate
Signals
- GitHub stars
- 89
- Forks
- 4
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
evo-dialogue-parser- Source
- github.com/openlair/openskill