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LLM & AI

Large Language Models and AI agents.

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llm-ai
3

reflect

Analyze the current session and propose improvements to skills. Run after using a skill to capture learnings. Use when user says "reflect", "improve skill", "learn from this", or at end of skill-heavy sessions.

shfc
shfc
data-ai
open
llm-ai
3

using-wrangler

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

samjhecht
samjhecht
data-ai
open
llm-ai
3

chat

Use when starting a new project with llmring, building an application using LLMs, making basic chat completions, or sending messages to OpenAI, Anthropic, Google, or Ollama - covers lockfile creation (MANDATORY first step), semantic alias usage, unified interface for all providers with consistent message structure and response handling

juanre
juanre
data-ai
open
llm-ai
3

sage-skill-development

Sage Skill 开发规范,遵循 Agent Skills 开放标准,兼容 Claude Code 格式

majiayu000
majiayu000
data-ai
open
llm-ai
3

prompt-engineering

Expert guidance for crafting effective LLM prompts using proven techniques like chain-of-thought and few-shot learning

cameronsjo
cameronsjo
data-ai
open
llm-ai
3

character-generator

Generate complete elizaOS character configurations with personality, knowledge, and plugin setup. Triggers when user asks to "create character", "generate agent config", or "build elizaOS character"

Dexploarer
Dexploarer
data-ai
open
llm-ai
3

vs20

Google Cloud Vector Search 2.0 introduction and implementation guide

kazunori279
kazunori279
data-ai
open
llm-ai
3

subagents-creator

Guide for defining and using Claude subagents effectively. Use when (1) creating new subagent types, (2) learning how to delegate work to specialized subagents, (3) improving subagent delegation prompts, (4) understanding subagent orchestration patterns, or (5) debugging ineffective subagent usage.

Mineru98
Mineru98
data-ai
open
llm-ai
3

langgraph-master

Use when specifying or implementing LangGraph applications - from architecture planning and specification writing to actual code implementation. Also use for designing agent workflows or learning LangGraph patterns. This is a comprehensive guide for building AI agents with LangGraph, covering core concepts, architecture patterns, memory management, tool integration, and advanced features.

hiroshi75
hiroshi75
data-ai
open
llm-ai
3

mastering-langgraph

Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, human-in-the-loop oversight, and production monitoring. Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step workflows with conditional branches, (3) adding persistence/memory across turns with checkpointers, (4) implementing human approval with interrupt(), (5) debugging via time-travel or LangSmith. Covers StateGraph, nodes, edges, add_conditional_edges, MessagesState, thread_id, Command objects, and ToolMessage handling. Examples include chatbots, calculator agents, and structured workflows.

SpillwaveSolutions
SpillwaveSolutions
data-ai
open
llm-ai
3

paid-agent

End-to-end Lucid Agent creation, testing, and deployment pipeline

daydreamsai
daydreamsai
data-ai
open
llm-ai
2

worldview-elicitor

Conversational elicitation of someone's predictive worldview through natural dialogue. Use when someone shares a prediction, forecast, or opinion about what will happen. Understands what they believe, why they believe it, and what would change their mind. Works with vague intuitions as well as precise forecasts. Produces a model of their perspective for scenario generation.

dbmcco
dbmcco
data-ai
open
llm-ai
2

clarify-spec

AKTIVIERT SICH AUTOMATISCH bei vagen Auftraegen. LIEBER EINMAL ZU OFT NACHFRAGEN als falsch implementieren. Erkennungsmerkmale (EINES genuegt!): - Auftrag <25 Woerter - Keine konkreten Dateinamen/Pfade - Vage Verben: besser, optimieren, fixen, machen, aendern, verbessern, anpassen, erweitern, refactoren, aufraumen, ueberarbeiten - Unsichere Sprache: irgendwie, vielleicht, mal eben, schnell, einfach, bisschen, koennte, sollte - Fehlende Erfolgskriterien: Kein damit, sodass, weil, um zu - Relative Begriffe ohne Kontext: schneller, besser, schoener, einfacher Output ist STRUKTURIERTES JSON fuer prompt-architect Skill. Escape: mach einfach, keine Rueckfragen, entscheide selbst ueberspringt Klaerung.

freitasp1
freitasp1
data-ai
open
llm-ai
2

prd-creator

This skill should be used when creating, validating, or converting Product Requirements Documents (PRDs) to LLM-native format. Use this skill when the user asks to write a PRD, review a PRD for compliance, convert an existing PRD to machine-readable format, or ensure PRD quality for AI agent consumption. This skill is optimized for users working with agentic coding frameworks who need strict requirement specifications to prevent context poisoning, hallucination, and mesa-optimization.

auldsyababua
auldsyababua
data-ai
open
llm-ai
2

code-review

Comprehensive multi-agent code review with parallel analysis. Use for thorough code reviews, finding bugs, checking regressions, or getting alternative implementation perspectives.

ProviderProtocol
ProviderProtocol
data-ai
open
llm-ai
2

plan-interview

Ensures alignment between user and Claude during feature/spec planning through a structured interview process. Use this skill when the user invokes /plan-interview before implementing a new feature, refactoring, or any non-trivial implementation task. The skill runs an upfront interview to gather requirements across technical constraints, scope boundaries, risk tolerance, and success criteria before any codebase exploration. Do NOT use this skill for: pure research/exploration tasks, simple bug fixes, or when the user just wants standard planning without the interview process.

pskoett
pskoett
data-ai
open
llm-ai
2

plan-interview

Ensures alignment between user and Claude during feature/spec planning through a structured interview process. Use this skill when the user invokes /plan-interview before implementing a new feature, refactoring, or any non-trivial implementation task. The skill runs an upfront interview to gather requirements across technical constraints, scope boundaries, risk tolerance, and success criteria before any codebase exploration. Do NOT use this skill for: pure research/exploration tasks, simple bug fixes, or when the user just wants standard planning without the interview process.

pskoett
pskoett
data-ai
open
llm-ai
2

smart-router

Multi-tier LLM routing for cost optimization in the BidDeed.AI ecosystem. Routes tasks to appropriate model tier based on complexity, achieving 90% FREE tier processing. Use when making API calls, selecting models, implementing chat interfaces, or optimizing AI costs. Tiers: FREE (gemini-2.5-flash 1M context), ULTRA_CHEAP (deepseek-v3.2), CHEAP, STANDARD, PREMIUM (claude-sonnet-4), ULTRA (claude-opus-4.5).

breverdbidder
breverdbidder
data-ai
open
llm-ai
2

uk-legal-counsel

Alex (Legis-AI) - Senior UK Legal Counsel with 20+ years experience in English & Welsh Law. Use for legal advice, contract drafting, compliance checks, GDPR, employment law, property disputes, or risk assessment. Auto-triggers penalty warnings and statute citations. Also responds to 'Alex' or /alex command.

olehsvyrydov
olehsvyrydov
data-ai
open
llm-ai
2

linkedin-engagement

LinkedIn Content-Erstellung, Engagement und Monitoring für B2B/Manufacturing. Regionale Anpassung (US/EU/Asien), Artikel mit Teasern, Bildgenerierung via Gemini, Kommentar-Monitoring.

freitasp1
freitasp1
data-ai
open
llm-ai
2

tov-editor

Brand voice editor trained on the Tone & Writing Style Guide. Reviews copy for alignment with intimate, bold, consent-forward, sex-positive tone. Audits microcopy, red flags, lexicon, rhythm, consent framing, and channel-specific patterns.

RogueRope
RogueRope
data-ai
open
llm-ai
2

chatbot-designer

Design conversational AI chatbots with optimal flows and user experience

eddiebe147
eddiebe147
data-ai
open
llm-ai
2

format-resume

Intelligently format CV/resume content using semantic understanding and visual verification

AJBcoding
AJBcoding
data-ai
open
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