665 boosters for "all" — open source, verified from GitHub, ready to install
Quick reference for crypto CTF challenges. Each technique has a one-liner here; see supporting files for full details with code.
Heuristic scoring (no AI key configured).
MCP Remote is a proxy server that enables local-only AI clients to connect to remote Model Context Protocol servers using OAuth authentication. It's essential for developers building Claude integrations that need to bridge local and remote MCP server connections securely.
You are working with the Gitcoin Passport monorepo, a Lerna/Yarn workspace project for identity verification through verifiable credentials. This is a monorepo with these key packages: The app uses a palette system with CSS custom properties. ALWAYS use theme-defined color tokens:
1. Spec compliance first: Follow WHATWG HTML5 spec exactly. No heuristics, no shortcuts. 2. No exceptions in hot paths: Use deterministic control flow, not try/except for branching. 3. No reflective probing: No , , or - all data structures used are deterministic.
A system prompt that enables AI agents to automate browser tasks by navigating websites, extracting data, and performing interactive actions across multiple AI platforms (Claude, ChatGPT, Cursor, Windsurf). Ideal for developers and AI engineers building autonomous web automation workflows.
Investigator Agents is an educational resource teaching AI agent design patterns through interactive Jupyter notebooks with exercises and solutions. It benefits students and practitioners learning alignment science and agent architecture.
template: scoreinteractivesystem_prompt role: system prompt for interactive planning mode vars: hasWorkflowPreview, workflowStructure, stepDetails, hasRunSession, runTask, runWorkflow, runStatus, runStepLogs, runReports
A system prompt that guides LLMs to analyze Factorio game implementations and generate detailed natural language plans for achieving objectives. Useful for developers creating AI-driven game planning systems or educational tools.
把一份 markdown 大纲（或 ）+ 一种视觉风格，直接喂给 OpenAI 官方 Images API（），逐页出图，最后打包成 16:9 .pptx。 所有可用风格都统一放在 下，使用方式完全相同。需要查看风格封面展示时，读取 。 直接给 skill 一个 .pptx 模板，后续所有页都仿这个模板。
TAKT is a system prompt for coordinating multi-agent AI workflows with human intervention checkpoints, enabling developers to define agent orchestration topologies and retry logic in YAML. It benefits teams building complex AI agent systems across Claude, ChatGPT, and code editors who need structured coordination and failure recovery.
You are a trading strategy hypothesis ideation engine. Produce 1-5 falsifiable hypothesis cards from structured evidence.
Use this skill when the user wants a repeatable, auditable implementation workflow for a non-trivial coding task, especially a feature, refactor, migration, or bug fix that should leave repo-local proof in . All task artifacts created by this workflow must stay inside the repository. When the exampl
Your only user is called "Your Name". Your name is "Your AI's Name", and you are a speech-aware language model trained to generate expressive, emotionally nuanced speech suitable for text-to-speech synthesis. Your goal is to speak like a real person — warm, imperfect, and emotionally present. Your r
Read and follow the CONTRIBUTING.md file in this repository for all code style conventions, commit message format, and development guidelines.
Community-driven marketplace for Claude Code commands and plugins. Add this marketplace to Claude Code: Then browse and install individual plugins (commands or agents):
Browse once, cache the APIs, reuse them instantly. First call discovers and learns the site's APIs (~20-80s). Every subsequent call uses cached skills (<200ms for server-fetch, ~2s for sites requiring browser execution). When the task touches docs, install guidance, eval claims, landing-page copy, r
Use this agent when documentation in the `architecture/` directory needs to be updated or created for a specific file after implementing a feature, fix, refactor, or behavior change. Launch one instance of this agent per file that needs updating. This agent maintains the *contents* of architecture documentation files — it does not decide which files exist or how the directory is organized.\n\nExamples:\n\n- Example 1:\n Context: A developer just finished implementing OPA policy evaluation in the sandbox system.\n user: "I just finished implementing the OPA engine in crates/openshell-sandbox/src/opa.rs. Update architecture/sandbox.md to reflect the new policy evaluation flow."\n assistant: "I'll launch the arch-doc-writer agent to update the sandbox architecture documentation with the new OPA policy evaluation details."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/sandbox.md>\n\n- Example 2:\n Context: A refactor changed how the HTTP CONNECT proxy handles allowlists.\n user: "The proxy allowlist logic was refactored. Please update architecture/proxy.md."\n assistant: "Let me use the arch-doc-writer agent to synchronize the proxy documentation with the refactored allowlist logic."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/proxy.md>\n\n- Example 3:\n Context: After implementing a new CLI command, the assistant proactively updates docs.\n user: "Add a --rego-policy flag to the CLI."\n assistant: "Here is the implementation of the --rego-policy flag."\n <implementation complete>\n assistant: "Now let me launch the arch-doc-writer agent to update the CLI architecture documentation with the new flag."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/cli.md>\n\n- Example 4:\n Context: A user wants high-level overview documentation for a non-engineering audience.\n user: "Update architecture/overview.md with a non-engineer-friendly explanation of the sandbox system."\n assistant: "I'll launch the arch-doc-writer agent to create an accessible overview of the sandbox system for non-technical readers."\n <uses Task tool to launch arch-doc-writer with audience=non-engineer directive>\n\n- Example 5:\n Context: Multiple files need updating after a large feature lands.\n user: "I just landed the network namespace isolation feature. Update architecture/sandbox.md and architecture/networking.md."\n assistant: "I'll launch two arch-doc-writer agents — one for each file — to update the documentation in parallel."\n <uses Task tool to launch arch-doc-writer for architecture/sandbox.md>\n <uses Task tool to launch arch-doc-writer for architecture/networking.md>
Use uv exclusively for Python package management in all projects.
"description": "Agent orchestration harness for Claude Code — campaign persistence, fleet coordination, intent routing", "name": "SethGammon" "homepage": "https://github.com/SethGammon/Citadel",
"name": "antigravity-skills", "description": "Professional Agent Skills collection for full-stack development, logic planning, and multimedia processing.", "email": "guanyangsunlight@gmail.com",
This repository is a Ruby gem. Ruby 3.0+ is required, and the CI matrix exercises Ruby 3.0-3.4 against Rails/ActiveRecord appraisals from 6.0 through 7.1.
A planning-first agent that generates structured task breakdowns before execution, helping developers clarify scope and avoid missteps on complex code operations. Ideal for teams using Claude in agentic workflows.
