llm-ai
3
custom-durable-agent
Build a custom durable AI agent with full control over streamText options, provider configs, and tool loops. Compatible with the Workflow Development Kit.
andrelandgraf
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
llm-ai
3
planning-agents
여러 AI 에이전트(Claude, Codex)가 동일한 주제에 대해 병렬로 기획을 수행하고, 각 결과를 보여준 후 최종 머지된 기획안을 제시합니다. "3명이 기획해주세요"처럼 에이전트 수를 지정할 수 있으며, Claude와 Codex가 랜덤하게 분배됩니다.
jiunbae
data-ai
llm-ai
3
codex-parallel-subagents
[DEPRECATED] Run multiple AI agent threads in parallel with bounded concurrency. Use evolving-workflow instead.
moonbit-community
data-ai
llm-ai
3
verify-claude-setup
Verify .claude directory configuration is complete and correct. Use when checking if agents, hooks, rules, and memory are properly set up, or after making changes to .claude configuration.
Dexploarer
data-ai
llm-ai
3
distributed-claude-receiver
You are a remote Claude instance running on a VPS. Receive messages via chat.sh wrapper, maintain persistent context, use Z.ai GLM backend via Doppler.
ebowwa
data-ai
llm-ai
3
reasoning-framework-selection
Select and apply the optimal AI reasoning framework for any task
vzwjustin
data-ai
llm-ai
3
sage-llm-integration
Sage LLM 客户端集成开发指南，涵盖多 Provider 支持、Fallback、Rate Limiting、Streaming
majiayu000
data-ai
llm-ai
3
subagent-generator
Generates custom Claude Code subagents with specialized expertise. Activates when user wants to create a subagent, specialized agent, or task-specific AI assistant. Creates properly formatted .md files with YAML frontmatter, suggests tool restrictions and model selection, generates effective system prompts. Use when user mentions "create subagent", "new agent", "specialized agent", "task-specific agent", or wants isolated context for domain-specific work.
squirrelsoft-dev
data-ai
llm-ai
3
create-agent
Quickly create a new specialized subagent when needed. Use when you need a specialist that doesn't exist yet for a specific task domain.
Dexploarer
data-ai
llm-ai
3
langchain-framework
LangChain LLM application framework with chains, agents, RAG, and memory for building AI-powered applications. Use when implementing RAG (Retrieval Augmented Generation), creating AI agents with tools, or chaining multiple LLM calls.
bobmatnyc
data-ai
llm-ai
3
voice-capture
This skill should be used when extracting voice profiles from sample text, creating voice documentation, or matching a specific writing style. It applies when users provide sample text and want to capture the voice for future use.
robertguss
data-ai
llm-ai
3
custom-durable-agent
Build a custom durable AI agent with full control over streamText options, provider configs, and tool loops. Compatible with the Workflow Development Kit.
andrelandgraf
data-ai
llm-ai
3
prompt-writing
Generates, analyzes, and optimizes prompts for skills, commands, subagents, reference docs, and free-form text. Use when generating prompt content, analyzing prompt files, or optimizing prompt text to apply techniques and reduce bloat. Trigger with phrases like '[generate|analyze|optimize] prompt', '[generate|analyze|optimize] [file-path]', 'create [skill|command|subagent]'.
bcasci
data-ai
llm-ai
3
lazy-agent-loader
Load agent definitions on-demand to reduce context usage. Only loads full agent when needed.
nguyenthienthanh
data-ai
llm-ai
3
ai-sdk-6-skills
AI SDK 6 Beta overview, agents, tool approval, Groq (Llama), and Vercel AI Gateway. Key breaking changes from v5 and new patterns.
gocallum
data-ai
llm-ai
3
distributed-claude-sender
Send prompts to a remote Claude instance on a VPS for distributed AI collaboration, different model backends, or independent context.
ebowwa
data-ai
llm-ai
3
tree-of-thoughts
INVOKE when multiple approaches exist and exploration is valuable. Produces visible branching with evaluation and recommendation. Use before implementation when comparing options. Triggers: comparing approaches, exploring alternatives, brainstorming solutions, pros/cons analysis.
bnadlerjr
data-ai