Sparkey Reflect
- 4 repo stars
- Updated July 23, 2026
- Sparkey-AI/sparkey-reflect
Sparkey Reflect is an AI coding advisor plugin that analyzes local Claude Code sessions so developers can receive personalized coaching insights without uploading conversation data.
About
sparkey-reflect is a Claude Code marketplace plugin that analyzes your local AI coding sessions and produces personalized coaching insights on prompts, context management, tool usage, and rule files. Developers reach for it when they want measurable feedback on session quality without sending conversation data to the cloud. Install sparkey@sparkey-reflect and run /sparkey:reflect with daily, weekly, monthly, or deep-dive modes.
- 100% local analysis; conversation data never leaves the machine
- Deep-dives for prompt engineering, context, tools, and CLAUDE.md rules
- /sparkey:reflect update-rules improves instruction files from insights
- Also available as standalone sparkey-reflect PyPI CLI
Sparkey Reflect by the numbers
- Data as of Jul 23, 2026 (Skillselion catalog sync)
/plugin marketplace add Sparkey-AI/sparkey-reflectAdd your badge
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| repo stars | ★ 4 |
|---|---|
| Last updated | July 23, 2026 |
| Repository | Sparkey-AI/sparkey-reflect ↗ |
How do you know which prompt, context, and tool habits are wasting effort in your Claude Code sessions?
Analyze local Claude Code or Cursor sessions and generate coaching reports on prompts, context use, tools, and CLAUDE.md quality.
Who is it for?
Developers who run frequent Claude Code or Cursor sessions and want local coaching reports, deep-dives, and CLAUDE.md improvement suggestions.
Skip if: Teams needing centralized cloud analytics across many engineers or developers who never review session history.
What you get
Coaching reports scored against documented frameworks plus optional CLAUDE.md updates derived from observed session patterns.
Plugins in this marketplace
1 plugin - install individually after you add the marketplace.
Recommended Marketplaces
FAQ
Does Sparkey upload session data?
README states it runs 100% locally and your conversation data never leaves your machine.
What deep-dive skills are available?
README lists prompt_engineering, context_management, tool_mastery, conversation_flow, session_habits, rule_file_quality, and outcome_quality.
How do you install the plugin?
Run /plugin marketplace add Sparkey-AI/Sparkey Reflect then /plugin install sparkey@Sparkey Reflect; Python 3.11+ is required.