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agent-toolkit
agent-toolkit에는 ShaggyD에서 수집한 skills 18개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
MCP server providing browser automation tools that bypass Cloudflare, LinkedIn, Indeed, and other WAF-protected sites using agent-browser with anti-detection stealth.
Delegate coding/tasks to pi CLI over RPC with persistent, resumable sessions.
Browser automation via agent-browser CLI (Vercel Labs). Headless Chrome navigation, snapshots, clicks, fills, screenshots, eval, and batch flows for web research, UI testing, and QA.
Manifest V3 Chrome extension that patches browser fingerprint vectors at document_start for WAF bypass
Hermes-native tool plugin for controlling pi --mode rpc sessions with full lifecycle management
Build three essential docs for AI agent context: personal constitution, goals, and business strategy. Based on Allie Miller's framework.
Prevent silent context-window pressure and the '18,000 character trap' by enforcing file size discipline on skills, .env, SOUL.md, and config files. Inspired by Andrew's OpenClaw Blueprint series.
Schedule recurring tasks on macOS using launchd plists
Two-layer Gmail triage system — zero-LLM noise archiving (Janitor) + LLM-powered daily review (Reviewer) — keeps your inbox clean with minimal config
Full CRUD CLI for Karakeep — standalone bookmarking tool with optional Obsidian vault sync
Analyze OpenCode token usage and estimate costs on OpenRouter
Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguous, or only exist as a vague idea.
Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.
Delivers changes incrementally. Use when implementing any feature or change that touches more than one file. Use when you're about to write a large amount of code at once, or when a task feels too big to land in one step.
Drives development with tests. Use when implementing any logic, fixing any bug, or changing any behavior. Use when you need to prove that code works, when a bug report arrives, or when you're about to modify existing functionality.
Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.
Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity.
Prepares production launches. Use when preparing to deploy to production. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.