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LLM & AI

Large Language Models and AI agents.

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llm-ai

11

brainstorming-skill

This skill should be used when users need to generate ideas, explore creative solutions, or systematically brainstorm approaches to problems. Use when users request help with ideation, content planning, product features, marketing campaigns, strategic planning, creative writing, or any task requiring structured idea generation. The skill provides 30+ research-validated prompt patterns across 14 categories with exact templates, success metrics, and domain-specific applications.

Jamie-BitFlight

data-ai

llm-ai

11

selecting-agents

Decision guide for choosing the right specialized agent for each task type

cipherstash

data-ai

llm-ai

11

applying-brand-guidelines

Apply brand voice, tone, and style guidelines to written content across platforms. Use this skill when writing or editing content that needs to reflect a specific brand identity, adapting content for LinkedIn, Substack, X (Twitter), or other platforms while maintaining brand consistency. Triggers include requests to write on-brand content, apply brand voice, adapt content for platforms, or review content for brand alignment.

jamesgray007

data-ai

llm-ai

11

template-meta-prompt-creation

Create Level 6 template meta-prompts that generate other prompts. Use when building prompt generators, designing high-leverage meta-prompts, or creating templates that scaffold other prompts.

melodic-software

data-ai

llm-ai

11

prompt-optimization

Improve and rewrite user prompts to reduce ambiguity and improve LLM output quality. Use when a user asks to optimize, refine, clarify, or rewrite a prompt for better results, or when the request is about prompt optimization or prompt rewriting.

proflead

data-ai

llm-ai

11

writing-assistant

Edits, rewrites, or improves text for clarity, tone, grammar, or style.

proflead

data-ai

llm-ai

11

voice-extractor

Extract voice patterns from transcripts - speaking style, phrases, vocabulary for authentic author profiles

mwguerra

data-ai

llm-ai

11

skill-optimizer

Optimize Claude Code skills for token efficiency using progressive disclosure and content loading order. Use when optimizing skills, reducing token usage, restructuring skill content, improving skill performance, analyzing skill size, applying 500-line rule, implementing progressive disclosure, organizing reference files, optimizing YAML frontmatter, reducing context consumption, improving skill architecture, analyzing token costs, splitting large skills, or working with skill content loading. Covers Level 1 (metadata), Level 2 (instructions), Level 3 (resources) loading optimization.

JNLei

data-ai

llm-ai

11

meta-agentic-creation

Create meta prompts, meta agents, and meta skills that build other agentic components. Use when scaling agentic layer development, creating generators/templates, or implementing "build the system that builds the system" patterns.

melodic-software

data-ai

llm-ai

11

agent-creator

Create high-quality Claude Code agents from scratch or by adapting existing agents as templates. Use when the user wants to create a new agent, modify agent configurations, build specialized subagents, or design agent architectures. Guides through requirements gathering, template selection, and agent file generation following January 2026 Anthropic best practices.

Jamie-BitFlight

data-ai

llm-ai

11

context-audit

Audit current context composition and identify optimization opportunities. Use when context window is overloaded, agents are underperforming, or applying the R&D framework to optimize token usage.

melodic-software

data-ai

llm-ai

11

using-cipherpowers

Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWrite todos for checklists

cipherstash

data-ai

llm-ai

11

template-skill

Template for creating new skills in gptme-contrib. Use this as a starting point when creating your own skills.

gptme

data-ai

llm-ai

11

talon-development

Expert guidance for Talon voice control development. Use when creating voice commands, defining actions, writing .talon files, testing Talon config, or debugging Talon issues.

jcaw

data-ai

llm-ai

11

mcp-server-ruby

This skill should be used when the user asks to "create an MCP server", "build MCP tools", "define MCP prompts", "register MCP resources", "implement Model Context Protocol", or mentions the mcp gem, MCP::Server, MCP::Tool, JSON-RPC transport, stdio transport, or streamable HTTP transport. Should also be used when editing MCP server files, working with tool/prompt/resource definitions, or discussing LLM tool integrations in Ruby.

hoblin

data-ai

llm-ai

11

agent-sdk-development

Central authority for Claude Agent SDK (TypeScript and Python SDKs). Covers SDK installation, authentication (Anthropic key, Bedrock, Vertex), sessions and resumption, forking sessions, streaming vs single mode, custom tools, permissions (allowedTools, disallowedTools, permissionMode), MCP integration, system prompts (CLAUDE.md, appendSystemPrompt, outputStyle), cost tracking, todo tracking, structured outputs, hosting patterns, plugins, and SDK branding guidelines. Assists with building custom agents, configuring SDK options, and troubleshooting SDK issues. Delegates 100% to docs-management skill for official documentation.

melodic-software

data-ai

llm-ai

11

dispatching-parallel-agents

Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently

cipherstash

data-ai

llm-ai

11

agent-orchestration

This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.

Jamie-BitFlight

data-ai

llm-ai

11

reduce-delegate-framework

Apply R&D framework to optimize prompts and context. Use when optimizing context window usage, reducing prompt size, delegating to specialized agents, or applying systematic context management.

melodic-software

data-ai

llm-ai

11

orchestration-prompts

Write prompts for orchestrator workflows with phases and aggregation. Use when designing multi-phase workflows, writing agent command prompts, or implementing result aggregation patterns.

melodic-software

data-ai

llm-ai

11

ai-governance

AI governance and responsible AI planning including EU AI Act classification, NIST AI RMF, and AI ethics frameworks

melodic-software

data-ai

llm-ai

11

custom-agent-design

Design custom agents from scratch using Claude Agent SDK patterns. Use when building domain-specific agents, designing agents with full SDK control, or creating specialized agents with custom tools and prompts.

melodic-software

data-ai

llm-ai

11

expertise-file-design

Design YAML expertise file structures for agent experts. Use when creating mental models for domain-specific agents, defining expertise schema, or structuring knowledge for Act-Learn-Reuse workflows.

melodic-software

data-ai

llm-ai

11

context-assembler

Assembles relevant context for agent spawns with prioritized ranking. Ranks packages by relevance, enforces token budgets with graduated zones, captures error patterns for learning, and supports configurable per-agent retrieval limits.

mehdic

data-ai

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