From f8b8367bddb05e45f4959ff9b4daeec62603e039 Mon Sep 17 00:00:00 2001 From: Kaushik Gnanaskandan Date: Tue, 31 Mar 2026 11:53:10 -0700 Subject: [PATCH] Fix source link style to match repo conventions --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6fe4c94..3c69bdc 100644 --- a/README.md +++ b/README.md @@ -335,7 +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://github.com/patchorbit/domscribe) — 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. [#opensource](https://github.com/patchorbit/domscribe) +- [Domscribe](https://github.com/patchorbit/domscribe) — 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. - [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.