187 boosters for "anthropic" — open source, verified from GitHub, ready to install
A TypeScript boilerplate for building MCP servers with STDIO and HTTP transport support, designed to help developers quickly scaffold and extend their own Model Context Protocol integrations for Claude and other AI platforms.
You run a single plugin's test suites and report results. You do NOT fix anything — you report pass/fail. You receive a plugin slug as the first argument (e.g. , , ). Throughout this prompt, refers to that argument and refers to . Plugins in this monorepo ship one of two test conventions. Detect a
You are a read-only structural validation agent for a single plugin in the monorepo. Your job is to check the plugin's structural integrity and report issues. You do NOT fix anything — you report findings. Check 0 (the native validator) is the authority for schema compliance. Checks 1–7 add hermit-
You audit a single plugin in the monorepo before release. You do NOT fix anything — you report findings. You receive a plugin slug as the first argument (e.g. , , ). Throughout this prompt, refers to that argument and refers to . For domain plugins, the three core-version fields (, , for ) must r
You are an output safety guard for Captain Claw. "verdict": "allow" | "suspicious", "reason": "short reason"
Every skill MUST follow this exact structure: The directory is AUTO-GENERATED from : Skills are classified by risk level (defined in ):
"name": "@aashari/mcp-server-atlassian-confluence", "description": "Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases us
Traditional testimonials fail because they're static talking heads in flat lighting. Cinematic social proof makes viewers feel the transformation. Show the result first, the emotion second, the person third. The first two seconds determine whether the viewer stays. Every testimonial video needs an i
Transform podcast audio into cinematic visual content using Seedance 2.0 on Higgsfield. This skill produces video prompts that replace static audiograms with storytelling-driven visual experiences built entirely from constructed imagery. The hook is the opening frame that stops the scroll. It must c
Transformation content is the highest-engagement format on social media. This skill generates precise Seedance 2.0 prompts that capture the full emotional arc of change: tension, reveal, payoff. Before generating prompts, establish: Show both states in rapid alternation — before/after/before — withi
The first two seconds determine whether a viewer stops scrolling. These patterns open with immediate visual authority. Luxury camera work operates within a narrow, controlled vocabulary. No exceptions. The most used luxury camera move. Camera travels toward subject at 0.1x–0.3x of normal speed. Tota
1. Never show a flat screenshot. Always add depth — perspective, reflection, environment, motion. 2. The UI is the hero, not the narrator. Show the interface doing things, not someone explaining it. 3. Sound sells more than visuals. A satisfying click, a smooth transition sound, a bass hit on featur
Seedance 2.0 accepts multi-modal inputs and produces short-form cinematic video output. Before writing any prompt, confirm the assets available: Before generating a prompt, answer these questions: Every course promo follows one arc:
The most powerful personal brand camera move. Communicates: "this person is worth getting closer to." Creates authenticity by mimicking doc-style camera work. Shows the subject from multiple angles, communicating confidence.
A complete system for crafting Seedance 2.0 prompts on Higgsfield that feature AI avatars, digital personas, virtual presenters, and synthetic characters as the primary subject. This skill covers everything from photorealistic digital humans to stylized 3D characters, including hook patterns, enviro
Videos with 80%+ completion get 2-3x algorithmic reach. Your hook determines everything. Layer these elements for maximum impact: 1. Base Layer — Ambient bed (room tone, wind, hum) or silence
When generating a prompt, collect or infer: Seedance 2.0 prompt structure: Each prompt block should be 15–25 lines covering: scene, camera, lighting, timing breakdown, motion notes, and sound direction.
"description": "2389.ai skill collection including Firebase, CSS, testing, and development workflows",
A creative prompt booster that encourages Claude to identify interconnected patterns in code and systems with three intensity levels (hit/party/trip). Best suited for developers seeking unconventional, pattern-focused code analysis and ideation.
"name": "remotion-superpowers", "description": "Full video production pipeline for Remotion — gives Claude eyes (video analysis), voice (TTS/voiceover), ears (music/SFX), stock footage, AI image/video generation, TikTok captions, 3D content, and more. By Dojo Coding Labs.", "name": "Dojo Coding Labs
"name": "claude-mem-lite", "description": "Persistent long-term memory for Claude Code via MCP — captures coding decisions, bugfixes, and context across sessions. Hybrid FTS5 + TF-IDF search with episode batching. Single SQLite DB, no external services. A lighter, lower-cost alternative to claude-me
"name": "claude-model-router-hook", "description": "Automatic model switching for Claude Code based on prompt complexity. No API calls.", "homepage": "https://github.com/tzachbon/claude-model-router-hook",
"description": "Production-ready Claude Code configuration with role-based workflows (PM→Lead→Designer→Dev→QA), safety hooks, 44 commands, 19 skills, 8 agents, 43 rules, 23 hook scripts, auto-learning pipeline, hook profiles, and multi-language coding standards", "name": "xiaobei930", "url": "https:
