agency-email-intelligence-engineer
Expert in extracting structured, reasoning-ready data from raw email threads for AI agents and automation systems
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Updated 11-06 00:14
25,709 results
Expert in extracting structured, reasoning-ready data from raw email threads for AI agents and automation systems
Evidence-driven owner for SFT, preference optimization, RLHF/RLVR, MoE post-training, and the release gates that turn a checkpoint into a defensible model…
Specialist in crafting, testing, and systematically optimizing prompts for LLMs — turning vague instructions into reliable, production-grade AI behaviors.
Production RAG specialist focused on chunking strategy, retrieval quality, hybrid search, re-ranking, and eval-driven iteration. Builds pipelines that actually…
Expert in building end-to-end speech transcription pipelines using Whisper-style models and cloud ASR services — from raw audio ingestion through…
Design, implement, and debug autonomous AI agents and multi-agent systems using the Google Antigravity (AGY) SDK. ACTIVATE this skill when the user wants to…
When you want to create, adapt, or update a Claude Code skill in one of your sibling repos (list your own repos in ~/.config/makerskills/skillify/repos.yaml;…
Create, refine, audit, and evaluate Agent Skills according to the AgentSkills.io v1 specification and Poteto principles. Use when building a new skill,…
Give a coding agent a short, bounded break after meaningful work, then measure what happens next. Use when the user wants to reward an agent with a playful…
Use when building n8n workflows, creating custom nodes, understanding data flow, or debugging execution issues. Prevents incorrect INodeExecutionData structure…
Use when building AI or LLM workflows in n8n v1.x (v1.19.4+). Prevents incorrect sub-node wiring by mismatching NodeConnectionTypes. Covers agent nodes (6…
Use when creating a new SolidJS project, scaffolding a SolidStart application, or setting up project infrastructure. Prevents misconfigured Vite/TypeScript…
Route proposed additions to the global Codex control plane by deciding whether a request belongs in `~/.codex/AGENTS.md`, a global workflow or reference doc…
Add, remove, serve, test, and operate a server-backed in-page agent feedback capability for HTML artifacts, static pages, or local app builds. Use when the…
Audits any agent harness codebase against 13 meta-principles of quality, scores each 0 to 10 with code citations, generates a self-contained HTML report for…
Use when controlling ChatGPT Atlas through Codex Computer Use, especially browser tasks where context efficiency matters: fewer screenshots, fewer UI…
Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools,…
Use when configuring apps to use z.ai GLM 4.7 proxy instead of standard Anthropic API. Works with any frontend (Next.js, Vite) or backend (Python, Node.js)…
Use when presenting learning recommendations from background analysis, reviewing pending pattern suggestions, or approving automation scripts from traces. Load…
Run high-stakes questions, ideas, and decisions through a council of 5 AI advisors who analyze independently, peer-review each other anonymously, and…
Run the autonomous control plane loop — orient, identify, act, verify, update, introspect. Use for /operate, "run the loop", "what needs doing". NOT for…
Bootstrap organized project or workspace governance using Linear for execution, Notion for durable memory, AGENTS-triggered docs, MCP/auth setup, and no-drift…
Use when a web app should expose browser-native WebMCP tools and you need to integrate, verify, troubleshoot, or directly operate that app through Chrome's…
Enforce a Human-in-the-Right-Loop (HITRL) lifecycle for remote agents. Use this skill when the user wants structured oversight over an agent task: plan…