mcp-development
MCP server development patterns extending Anthropic's mcp-builder with AINative-specific conventions. Use when creating MCP servers, integrating ZeroDB, or building tool-based AI systems.
আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
MCP server development patterns extending Anthropic's mcp-builder with AINative-specific conventions. Use when creating MCP servers, integrating ZeroDB, or building tool-based AI systems.
This skill should be used when the user asks to 'extract a skill from a debugging session', 'convert debugging session to skill', 'create skill from debug history', 'generate skill from troubleshooting', or mentions extracting reusable knowledge from Claude Code debugging conversations. Transforms conversation history into well-structured, reusable skills using conversation parsing and Fabric AI patterns.
Master REST API design principles to build intuitive, scalable, and maintainable APIs. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
Portable tmux-based workflow to drive one or multiple long-running Codex CLI “workers” from another process (e.g. Claude CLI) by (1) starting/reusing a tmux session running `codex`, (2) injecting prompts into the Codex pane via `tmux send-keys`/buffer paste, and (3) polling the worker’s Codex JSONL session logs to extract the next assistant reply. Each worker runs with an isolated `CODEX_HOME` (default `~/.codex-workers/<worker_id>`) to prevent log cross-talk when multiple Codex workers run concurrently. Use when you need to submit/wait/read Codex replies in tmux, manage multiple Codex workers, or troubleshoot the tmux worker and log binding.
AI agent generates diverse solutions through structured divergent thinking and systematic exploration frameworks. Use when exploring options, solving problems creatively, or generating alternatives.
Lists all installed Nixtla Skills and provides guidance on which skill to use for specific tasks. Scans skills directory, reads frontmatter, outputs formatted index with categories and usage recommendations. Activates when user wants to see available skills, needs guidance on skill selection, or asks about Nixtla capabilities.
Run GPT-Researcher multi-agent deep research framework locally using OpenAI GPT-5.2. Replaces ChatGPT Deep Research with local control. Researches 100+ sources in parallel, provides comprehensive citations. Use for Phase 3 industry/technical research or comprehensive synthesis. Takes 6-20 min depending on report type. Supports multiple LLM providers.
Optimize websites for AI assistant recommendations. ChatGPT, Gemini, Perplexity, Claude. Get cited in AI answers.
Aggregate and analyze AI news from 7 authoritative sources including expert newsletters (Andrew Ng's The Batch), research papers (HuggingFace), industry news (TechCrunch, AI News), and community discussions (Reddit, Hacker News). Provides deep trend analysis with expert sentiment and community opinions. This skill should be used when the user wants a comprehensive AI news digest, research recent developments, understand community sentiment, or stay updated on AI trends. Invoke with `/ai-news <days>` (e.g., `/ai-news 3` for past 3 days).
How to create new agent skills for this project. Use when proposing a new skill, documenting repeated patterns, or formalizing domain knowledge. Keywords: skill, SKILL.md, agent, create skill, new skill, meta.
Atlas skill for designing and creating Claude Skills for project-specific codebases. USE WHEN you need to capture repeatable workflows, complex multi-step processes, or domain-specific patterns that Claude should handle consistently.
Reference guide for using PROXY_MODE with external AI models. Use when running multi-model reviews, understanding which agents support PROXY_MODE, or debugging external model integration issues.
Use when deciding whether to delegate work to subagents. Lists available agents with triggers and capabilities. Delegate aggressively.
Orchestrate PM-Agent workflows for case management, task delegation, and artifact pipeline coordination. Use when managing multi-step projects, delegating tasks to sub-agents, or tracking work through CMMN stages.
OpenAI Codex CLI configuration guide for Claude. Use when users ask about: codex config, ~/.codex/config.toml, codex sandbox policies, codex approval modes, creating codex skills, codex mcp servers, codex model settings, local LLM providers, or integrating tools with Codex.
Efficiently compose multiple MCP tool operations by launching a subagent that writes and executes TypeScript or Python code. Use when you need to compose 3+ MCP tool calls, process their results together, implement complex logic, or avoid token overhead from loading many MCP tool schemas into main context. The subagent has MCP servers configured and writes code that calls tools dynamically.
Provide lesson markdown templates for the AI-Native Robotics Textbook. Use when writing lessons, structuring educational content, or validating lesson format.
Plan authoring skill with quality gates and AI estimation. Triggers on write-plan, implementation plan, design plan, feature plan, execution plan. Enforces zero-context clarity, TDD requirements, constitution compliance checklists, and agent hints for intelligent task routing.
Used to create a new agent. Used when a user wants to create a new agent