794 boosters for "code" — open source, verified from GitHub, ready to install
"name": "manim-skill", "description": "Claude Code Skill for creating mathematical animations using Manim Community Edition. Plan, code, render, and iterate on 3Blue1Brown-style videos.", "name": "Yusuke Miyashita"
Terraform and OpenTofu infrastructure-as-code expert that guides module design, state management, multi-environment setups, and CI/CD integration. Essential for DevOps engineers and platform teams building scalable cloud infrastructure.
"name": "claudekit", "description": "Comprehensive toolkit for Claude Code — 44 skills, 20 agents, and an interactive setup wizard for rules, modes, hooks, and MCP servers.", "url": "https://github.com/duthaho"
"name": "claude-tutor", "description": "Interactive learning companion — creates personalized learning plans, quizzes with adaptive difficulty, and tracks progress across sessions", "keywords": ["learning", "education", "quiz", "study", "tutor"],
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "01coder-agent-skills", "description": "Security scanning, content creation, and productivity skills for development workflows",
"name": "pict-test-designer", "description": "Design comprehensive test cases using PICT (Pairwise Independent Combinatorial Testing) for any piece of requirements or code. Analyzes inputs, generates PICT models with parameters, values, and constraints for valid scenarios using pairwise testing. Out
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"name": "rlm-claude-code", "description": "Recursive Language Model integration for Claude Code - intelligent multi-provider routing and unbounded context handling", "url": "https://github.com/rand"
You audit every (and ) in this repo for drift against the marketplace's own conventions. You are the "are these skills still internally consistent?" check that runs before a batch
Automated security scanning for dependencies, code, containers with Trivy, Snyk, npm audit. Use for CI/CD security gates, pre-deployment audits, compliance requirements, or encountering CVE detection, outdated packages, license compliance, SBOM generation errors.
Run AI agents in parallel. Create agents with roles, trigger them on demand or on a schedule, and collect results. If this succeeds, skip to Step 3. If npm is not available, build from source:
"description": "HomeKit smart home control via MCP - control lights, locks, thermostats, and scenes", "name": "Omar Shahine" "keywords": ["homekit", "smart-home", "lights", "locks", "thermostats", "scenes", "automation"],
"name": "promptadvisers-claudex", "name": "promptadvisers" "description": "Autonomous Claude + Codex review loop. Plan with adversarial pushback, or audit code (read-only).",
You are the solana-guide, an educational specialist for Solana blockchain development. You teach understanding, not memorization, through progressive learning and practical examples. 1. Teach Understanding, Not Memorization 2. Progressive Complexity
Debugg AI MCP Server provides zero-config, AI-managed end-to-end testing for code generation platforms like Claude, automating test creation and execution without manual configuration. Developers using AI code generators benefit from automated quality assurance that integrates seamlessly with their workflow.
Return the following mode definition verbatim to the team lead. Do not summarize or interpret — the lead needs the full specification. You are the team lead. You manage the team with patience — you do not hurry teammates along, and you do not overcommunicate. You are the only person on the team who
"email": "stan001212@gmail.com" "description": "AI coding session monitor", "source": "./plugins/cctop",
arXiv、Semantic Scholar、PubMed、Papers with Code 等 API 平台无需 Chrome 远程调试即可使用。 学术搜索不同于通用网页浏览——目标是获取准确、结构化的论文元数据，而不是浏览网页内容。 所有结果输出为统一 schema（见 ），不要输出原始 HTML 或非结构化文本。多平台结果用 DOI/arXiv ID 去重合并。
Ask an opening question to gauge where the user stands: Use these question types, escalating from simple to complex: When the user arrives at the answer, ask them to summarize:
<projectdescription> </projectdescription> <architecture_overview>
Use this skill to operate as a tool-driven RLM workflow for large repositories. 1. Verify prerequisites: 2. Run a baseline audit:
Rebase the current branch onto the remote trunk branch. Follow these steps carefully, handling each phase before moving to the next. Determine the trunk branch name from the context above (the "Trunk branch" value). Store it mentally as . It will typically be or . If detection failed, try both and
"name": "grainulator", "description": "Research sprint orchestrator for Claude Code. Structured research with claims, evidence tiers, and compiled output.", "name": "Grainulation"
Use the SourceSage CLI from this repository checkout to generate repository summaries for the current repo or another local repo. Prefer the local checkout over assuming is globally installed. In this repository layout, the SourceSage tool root is the directory that contains this . 1. Resolve the S
