gptme-wrapped
Analyze your gptme conversation history for insights like token usage, costs, model preferences, and usage patterns - inspired by Spotify Wrapped.
npx skills add majiayu000/claude-skill-registry --skill gptme-wrapped --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.
# gptme Wrapped - Conversation Analytics **Description:** Analyze your gptme conversation history for insights like token usage, costs, model preferences, and usage patterns - inspired by Spotify Wrapped. ## Overview "gptme Wrapped" provides year-end (or any period) analytics for your gptme usage, similar to Spotify's annual Wrapped feature. It analyzes conversation logs stored locally to provide insights about: - **Token usage**: Input/output tokens, cache hits - **Cost tracking**: Spending by model, day, conversation - **Model preferences**: Most used models, provider breakdown - **Usage patterns**: Peak hours, conversation lengths, topics - **Context efficiency**: Average context sizes, compression ratios ## Storage Structure gptme stores conversations in `~/.local/share/gptme/logs/` with this structure: ```tree ~/.local/share/gptme/logs/ ├── 2025-12-25-running-red-cat/ │ ├── conversation.jsonl # Messages with metadata │ ├── config.toml # Conversation config (model, tools) │ ├── branches/ # Conversation branches │ └── workspace -> /path # Symlink to workspace └── ... ``` ### Message Format (conversation.jsonl) Each line is a JSON object representing a message: ```json { "role":
- Overview
- Storage Structure
- Message Format (conversation.jsonl)
- Config Format (config.toml)
- Best Practices
- Plugin Integration
- Related Skills
What does the gptme-wrapped skill do?
Analyze your gptme conversation history for insights like token usage, costs, model preferences, and usage patterns - inspired by Spotify Wrapped.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill gptme-wrapped --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 majiayu000/claude-skill-registry, a repository with 534 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.