alexismunoz1/token-optimizer
Agent Skill for Claude Code: reduce token consumption, lower AI costs, and get faster responses. Backed by real experiment data.
Agent Skill for Claude Code: reduce token consumption, lower AI costs, and get faster responses. Backed by real experiment data.
npx skills add alexismunoz1/token-optimizerAgent Skill for Claude Code: reduce token consumption, lower AI costs, and get faster responses. Backed by real experiment data.
Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.
Define product positioning by mapping competitive alternatives, unique attributes, and best-fit customers to the right market category. Use when the user mentions "positioning", "competitive alternatives", "how to position", "market category", "why customers dont get it", "positioning canvas", "repositioning", or "category creation". Also trigger when launching a new product, entering a crowded market, or diagnosing why prospects dont understand the products value. Covers positioning canvas and team workshops. For customer jobs analysis, see jobs-to-be-done. For go-to-market, see crossing-the-chasm.
Interact with the Paperclip control plane API to manage tasks, coordinate with other agents, and follow company governance. Use when you need to check assignments, update task status, delegate work, post comments, set up or manage routines (recurring scheduled tasks), or call any Paperclip API endpoint. Do NOT use for the actual domain work itself (writing code, research, etc.) — only for Paperclip coordination.
Agentic SEO operating system as a Claude Code plugin: project Wiki, DataForSEO workflows, content briefs, technical SEO, and human-approval gates.
8 production-tested Claude skills: automation, Gemini cost/structured output, OSS bounty scouting, ML validation.
Use when the user asks to "find keywords", "挖词", or "搜什么词"; prioritizes search volume, keyword difficulty, intent, and topic clusters from provided or connected data. Not for competitor-relative coverage gaps — use content-gap-analysis. 关键词研究/内容选题