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SkillsMP has collected 9 skills from practical-stack/ai-lab. Open a skill to review its source and details.
Showing 9 of 9 collected skills.
Guide for creating and validating AI agent skills based on Anthropic's official skill specification. Use when users want to create a new skill, update an existing skill, validate skills, run a skill audit, or need guidance on skill architecture and best…
Extract reusable patterns from completed session work. Use when users want to wrap a session into a reusable component, extract workflows, make completed work reusable, abstract session work into patterns, or create a skill from session history.
Generate high-quality prompts using proven prompt engineering techniques. Use when users want to write a prompt, create or improve prompts, work on meta-prompts, or need to craft effective instructions for AI tasks. Do NOT use for simply asking questions,…
Diagnose features into the right LLM component type — Skill, Agent, or Command wrapper. Use when users ask whether something should be a skill, need to decide between command or agent, want to diagnose a feature's type, or make structure and architecture…
Guide for creating and validating Claude Code slash commands. Use when users want to create a command, define command specs, configure allowed-tools or argument-hint fields, or validate and audit existing commands. Do NOT use for creating skills or agents…
Guide for creating and validating specialized AI agents (subagents). Use when users want to create a new agent, make a subagent, define agent configurations, validate agents, or need guidance on agent architecture. Do NOT use for creating skills (use…
Deep analysis of LLM agent and plugin repositories to extract architecture, patterns, and insights. Use when users want to analyze an LLM repo, extract patterns from a repository, do a repository deep dive, or understand an AI agent codebase. Do NOT use for…
Transform research materials into structured learning content with bilingual support. Use when users want to create learning content from research, convert research to learning paths, make learning materials, or translate learning content between languages.
Generate and validate YAML frontmatter for docs folder documents. Use when users want to add frontmatter, update frontmatter, generate frontmatter metadata, or validate existing frontmatter against the schema.