1.4K RESULTS · “cti”
— · MIT
A toolbox of film styles made in code for Claude Code: 66 ready to use, and your own. Each style is a style prompt plus a demo film made entirely in code by Claude Opus 5.5, with no video model. By Lemomo. · 一套用代码做片的风格工具箱:66 种现成风格,也能做出你自己的
v0.5.0-alpha3 · MIT
A toolkit for low-level operations in DSH, designed to reduce token usage and task execution time / DSH 底层操作工具插件,旨在减少 Token 消耗与任务耗时
v3.36.0 · MIT
Official Firecrawl MCP server, the context API for AI agents: search, scrape, and interact with the web, plus parse, crawl, map, Agent and Monitor, from any MCP client.
An agent skill for building premium, immersive, scroll-driven websites. Works with Codex, Claude Code, and other coding agents. Also available as a Claude Code plugin.
v1.6.66 · MIT
dsh-purge Community · DeepSeek Harness 社区维护版:宿主兼容、状态诊断、提示词管理、更新与本机备份回滚。基于小杨 / YuJunZhiXue 的 dsh-purge。
v1.1.71 · MIT
DeepSeek Harness 破甲 (mirror of YuJunZhiXue/dsh-purge) — 上游即将删库,此为本仓库全量镜像:含全部分支/73 个 tag/完整提交历史。原作者署名与二开要求见 README 署名章节。
v0.3.3 · MIT
dsh-routing-suite — injector + router-standard kit: install the runtime injector first, then the task-aware reasoning-mode router preset (measured P1-P23).
Use when you have a spec or requirements for a multi-step task, before touching code
v0.12.27 · Apache-2.0
Open-source meeting transcription API for Google Meet, Microsoft Teams & Zoom. Auto-join bots, real-time WebSocket transcripts, MCP server for AI agents. Self-host or use hosted SaaS.
v0.2.0 · MIT
Independent, unofficial CLI to edit CapCut and JianYing (剪映) projects — subtitles, timing, speed, volume, templates, cut long-form to shorts. No API needed, reads draft_content.json and draft_info.json (剪映草稿) directly. Not affiliated with ByteDance.
v4.1.1 · MIT
A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.
— · CC0-1.0
6,000+ Claude Code mods, with what each one can access before you install it. Context and usage meters, prompt cache warmers, status lines, guards and more, with install hints.
— · Apache-2.0
Compress a memory file such as CLAUDE.md or a todo list into caveman format to save input tokens, keeping a readable backup. Sends the file's text to the configured model provider. Trigger: /caveman-compress.
v0.4.3 · AGPL-3.0
A search-first, profile-aware reverse-engineering workspace for AI agents — 735 tools across 36 domains in one MCP server.
Development workflows for Claude Code that keep broad exploration focused on the outcome you approved.
v4.15.18 · MIT
법제처 국가법령정보를 LLM에서 바로 조회하는 MCP 서버. 법령·판례·조례 검색과 인용 검증 | MCP server for Korean law — search statutes, precedents, and ordinances, and verify citations
— · AGPL-3.0
Open-source CRM your AI agents can read and update: companies, people, opportunities, tasks and notes. REST API, self-hosted or cloud.
Build a HyperFrames slideshow to present live - slides, fragment reveals, branching hotspots and presenter mode with speaker notes, served by `hyperframes present` - or turn an existing page into one. Use when the person wants a deck or presentation rather than a rendered video.
v2.50.1 · Apache-2.0
Re-debugging Solved Failures? No Way. 500+ Evidence-graded fix lessons, One MCP Call-->https://misakanet.org
v4.14.11 · MIT
A markdown editor — and the bridge to your LLM. Local-first, MIT, ~15 MB. Bundled MCP server lets Claude Code / Codex / Cursor drive your vault directly. 14 AI providers BYOK.
v1.1.1 · Apache-2.0
Open source, privacy-first Voice of Customer analytics. A self-hosted alternative to Enterpret and Unwrap that strips PII from feedback before any LLM sees it.
Run work in separate Orca worker agents and get their results back. Use when the user asks for Orca workers or supervision (monitor, task DAGs, ask/reply, decision gates), or when the work needs something your own subagents cannot give: a different agent (such as Codex from Claude) or its own Orca w
v1.0.0 · AGPL-3.0
Calendar sync tool & universal calendar MCP server. Aggregate, sync and control calendars on Google, Outlook, Office 365, iCloud, CalDAV or ICS.
Lazy senior dev mode for any coding task: the smallest change that fully solves it, and a reply a busy human understands in one read.