Agent skill

types

Reference for Splitrail's core data types. Use when working with ConversationMessage, Stats, DailyStats, or other type definitions.

View SKILL.md on GitHub Repository
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Install this agent skill to your Project

npx add-skill https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/types

SKILL.md

Key Types

Read src/types.rs for full definitions.

Core Types

  • ConversationMessage - Normalized message format across all analyzers. Contains application source, timestamp, hashes for deduplication, model info, token/cost stats, and role.

  • Stats - Comprehensive usage metrics for a single message including token counts, costs, file operations, todo tracking, and composition stats by file type.

  • DailyStats - Pre-aggregated stats per date with message counts, conversation counts, model breakdown, and embedded Stats.

  • Application - Enum identifying which AI coding tool a message came from.

  • MessageRole - User or Assistant.

Hashing Strategy

  • local_hash: Deduplication within a single analyzer
  • global_hash: Deduplication on upload to Splitrail Cloud

Aggregation

Use crate::utils::aggregate_by_date() to group messages into daily stats. See src/utils.rs.

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