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Merge pull request #372 from Narrator/add-domscribe

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Add Domscribe
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James Murdza
2026-03-31 12:04:00 -07:00
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@@ -6,6 +6,7 @@ This is a curated list of AI-powered developer tools. These tools leverage AI to
> Please read the [contribution rules](https://github.com/jamesmurdza/awesome-ai-devtools/blob/7ac2078505606be2dd84c24075744a3643f08241/.github/PULL_REQUEST_TEMPLATE.md?plain=1#L4-L10) before submitting a PR.
## Categories
- [Development Environments](#development-environments)
- [AI-Native IDEs](#ai-native-ides)
- [IDE Extensions](#ide-extensions)
@@ -334,6 +335,7 @@ Tools that manage and sync AI agent configurations, rules, and context across ed
- [rule-porter](https://github.com/nedcodes-ok/rule-porter) — Zero-dependency CLI that converts AI IDE rule files between Cursor (.mdc), CLAUDE.md, AGENTS.md, Copilot, and Windsurf. Bidirectional with lossy-conversion warnings.
- [LynxPrompt](https://github.com/GeiserX/LynxPrompt) — Self-hostable platform for managing AI IDE configuration files. Generates, syncs, and shares configs (.cursorrules, CLAUDE.md, copilot-instructions.md, etc.) across 30+ AI coding assistants via web UI, REST API, CLI, and federated blueprint marketplace.
- [Conduit8](https://github.com/conduit8/conduit8) — CLI registry for discovering, installing, and managing Claude Code skills. Search 20+ curated skills by keyword or category, install directly to ~/.claude/skills/ with one command.
- [Domscribe](https://www.domscribe.com/) — Pixel-to-code bridge that captures runtime context (props, state, source location) from running web apps and exposes it to AI coding agents via MCP. [Source](https://github.com/patchorbit/domscribe)
- [faf-cli](https://github.com/Wolfe-Jam/faf-cli) — Foundational AI-context format. Generates persistent project DNA (.faf files) that give any AI instant, structured context. IANA-registered (application/vnd.faf+yaml). Works with Claude, Gemini, Grok, Cursor, and Windsurf.
- [promptext](https://github.com/1broseidon/promptext) — Smart code context extractor for AI assistants with accurate token counting, relevance prioritization, and budget management. Prepares optimized code context within LLM token limits.
- [ContextMCP](https://contextmcp.ai) — Self-hosted semantic search across documentation from various sources for AI agents.