40 boosters for "conversation" — open source, verified from GitHub, ready to install
CCC helps developers create GitHub context issues and compact conversations by gathering git status, logs, and branch information. It's useful for developers managing complex projects who need to document their current state and hand off work.
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "tasteray-skills", "description": "Psychological profiling skills for natural conversation using research-backed techniques",
TIL extracts and persists key learnings from conversations into dated markdown files, helping developers build a personal knowledge base of insights, patterns, and techniques discovered during coding sessions.
"name": "skill-builder", "description": "Create, audit, optimize Claude Code skills. Converts bloated CLAUDE.md files into lean briefing documents plus on-demand skills, enforcement hooks, and validation agents.", "name": "Francis Meetze",
An MCP server that integrates Carbon Voice's voice messaging and conversation APIs, enabling Claude to send voice messages, manage conversations, and handle workspace operations. Useful for developers building voice-enabled applications that need Claude integration.
Analyzes Claude Code conversation history to identify friction patterns and suggest systematic improvements to skills and workflows. Useful for developers who want to review multi-session interactions and iteratively refine their AI assistant usage.
"id": "ai.getperspective/mcp", "name": "Perspective AI", "description": "An AI concierge that turns static forms into adaptive AI conversations. From any MCP client.",
An MCP server that manages project documentation and automatically saves conversation logs to a user-specified directory, enabling seamless integration of AI conversations into project workflows. Useful for teams wanting to maintain searchable records of AI-assisted development sessions.
gllm is a system prompt that transforms LLMs into code-first orchestrators for efficient task processing, enabling developers to handle large files and complex workflows through programmatic verification rather than context-heavy text generation.
A guide for implementing custom agents compatible with MCProbe's testing framework, enabling developers to test proprietary, legacy, or specialized agent architectures beyond standard implementations.
Obris is an MCP server that lets you save and reuse your knowledge across all AI conversations, eliminating repetitive explanations. It's ideal for developers, researchers, and knowledge workers who interact frequently with Claude or other AI tools.
Heuristic scoring (no AI key configured).
This Cursor rule enforces interactive feedback loops by requiring MCP calls during question-asking and request completion, improving user engagement in AI-powered workflows. Developers building conversational AI systems with Cursor will benefit from structured feedback collection.
Summarize and reflect on past Codex coding sessions by querying session histories, filtering by date or ID, and retrieving cached reflections. Useful for developers who want to review their coding work and track project progress over time.
Clara is a privacy-focused, client-side WebUI for interacting with LLMs without any backend infrastructure or data leaks. Developers and privacy-conscious users who want complete control over their AI conversations benefit from this tool.
