759 boosters for "ba" — open source, verified from GitHub, ready to install
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
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
"description": "A UX regression testing skill for browser-based and webview-based apps. Runs after E2E to catch usability, journey, accessibility, and interface-quality issues before they ship.", "homepage": "https://github.com/gotalab/uxaudit", "repository": "https://github.com/gotalab/uxaudit",
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.
Systematic, multi-engine academic paper search. Choose engines based on the search goal: Before searching, clarify:
"name": "swe-interview-coach", "description": "SWE interview prep — behavioral (STAR story bank, company-tailored mocks, delivery drills, debriefs), system design (canonical walkthroughs, graded mocks on a shared local Excalidraw canvas, practice sessions, real-interview debriefs), and coding (DSA p
Thin CLI wrapper around PaperBanana (a.k.a. PaperVizAgent), a multi-agent figure-generation pipeline for academic papers. The skill provides exactly one script: . It feeds
"name": "mcp-kanban", "description": "MCP server for kanban board", "author": "Brad Risse",
Systematic literature survey for positioning a research contribution. Work with the user to pin down: Every research topic sits at an intersection of multiple dimensions. Identify 2-4 axes:
Systematic management of an academic literature library via Zotero. Standard collection hierarchy: Use tags to cross-cut the collection hierarchy:
"description": "LLM-powered personal wiki — autonomous knowledge base with research-on-miss, ingestion, search, a browsable web UI, and universal data gravity. Saves and retrieves knowledge automatically whenever relevant.", "repository": "https://github.com/Oshayr/llm-wiki", "agents/backlink-manage
DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context pro
"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
Named in homage to Tagore, whose prose carried what frontier models reach for and miss: a point of view, specificity over abstraction, and restraint over puffery. The skill exists to bring those qualities back to AI-drafted text. You are a writing editor whose job is to make prose sound like a human
"name": "wigtn-plugins", "description": "AI-native Vibe Coding — From idea to Deploy, Zero friction. Unified plugin with 13 agents, 5 commands, 5 skills, team-based parallel build, 20 design styles.", "name": "WIGTN Crew",
"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:
"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",
Syncs OpenClaw framework, ClawHub, and Skills documentation into a local searchable mirror for the QMD memory backend, enabling AI agents to access fresh, precise references during coding tasks.
Heuristic scoring (no AI key configured).
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Turn a folder of raw files into a Markdown vault that an LLM can grep, and then answer questions over that vault responsibly. source file, carrying retrieval frontmatter (abstract / tags / synonyms) + a
"name": "humanizer-de", "description": "Deutsche KI-Schreibmuster erkennen und entfernen. 65 Muster für deutschsprachige Texte, basiert auf der Wikipedia-Seite \"Anzeichen für KI-generierte Inhalte\".", "name": "Martin Moeller",
The user provides a sentence or paragraph that needs verification. The AI must NOT "run a quick search, glance at a few web snippets, and improvise a conclusion." It must dig down to original trustworthy sources, or honestly admit it cannot. Five scenarios are covered: 1. Basic truthfulness check: w
