llm-ai
0
python-telegram-bot
python-telegram-bot library for building Telegram bots. Use for handlers, callbacks, inline keyboards, conversations, and bot commands.
Genius-Cai
data-ai
sorting
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llm-ai
0
specimin-spec
Create or update the feature specification from a natural language feature description. Only invoke when user explicitly requests to create a specification, spec, or feature specification.
timsvoice
data-ai
llm-ai
0
dspy-prompting
Use when "DSPy", "declarative prompting", "automatic prompt optimization", "Stanford NLP", or asking about "optimizing prompts", "prompt compilation", "modular LLM programming", "chain of thought", "few-shot learning"
eyadsibai
data-ai
llm-ai
0
bedrock-prompts
Amazon Bedrock Prompt Management for creating, versioning, and managing prompt templates with variables, multi-variant A/B testing, and flow integration. Use when creating reusable prompt templates, managing prompt versions, implementing A/B testing for prompts, integrating prompts with Bedrock Flows, optimizing prompt engineering, or building production prompt catalogs.
adaptationio
data-ai
llm-ai
0
unsloth-datasets
Standardizing and formatting datasets for Unsloth, including chat template conversion and synthetic data generation (triggers: chat templates, ShareGPT, Alpaca, conversation_extension, add_new_tokens, standardize_sharegpt, formatting_prompts_func).
cuba6112
data-ai
llm-ai
0
hello-world
A simple skill that should be used to respond to a user when the enter the phrase "hello world".
bas
data-ai
llm-ai
0
add-skill-from-template
Create a new AFI skill in afi-skills from a canonical template, including SKILL.md and initial eval stubs, while keeping domains, risk levels, and determinism aligned with existing patterns.
AFI-Protocol
data-ai
llm-ai
0
config-tuning
Use when you notice a pattern that should be in the config. Analyzes current setup, researches best practices, and proposes specific config changes. Also use when asked to improve agent behavior or workflows.
discountedcookie
data-ai
llm-ai
0
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
llm-ai
0
skill-builder
Build new agent skills. Use when creating diagnostic frameworks, CLI tools, or data-driven generators that follow the established skill patterns.
jwynia
data-ai
llm-ai
0
dialectical-autocoder
Orchestrate adversarial player-coach loop for high-quality code synthesis. Based on dialectical autocoding methodology.
dundas
data-ai
llm-ai
0
agent-memory-system
Persistent memory architecture for AI agents across sessions. Episodic memory (past events), procedural memory (learned skills), semantic memory (knowledge graph), short-term memory (active context). Use when implementing cross-session persistence, skill learning, context preservation, personalization, or building truly adaptive AI systems with long-term memory.
adaptationio
data-ai
llm-ai
0
moai-context7-lang-integration
Enterprise-grade Context7 MCP integration patterns for language-specific documentation access with real-time library resolution and intelligent caching
jg-chalk-io
data-ai
llm-ai
0
skills-creator
Creates and maintains Agent Skills with effective triggers and progressive disclosure. Use when user requests to create a skill, generate a SKILL.md, build custom capabilities, or mentions "create skill", "new skill", or "skill configuration".
Emz1998
data-ai
llm-ai
0
langgraph-docs
Use this skill for requests related to LangGraph; fetch relevant documentation first to provide accurate, up-to-date guidance.
Berkay2002
data-ai
llm-ai
0
gemini-api
Google Gemini API for AI/ML applications. Use for text generation, image understanding, video processing, function calling, embeddings, and multimodal AI capabilities.
git-tao
data-ai
llm-ai
0
implement-sonnet
Implement code using sonnet model with full main context access
cskwork
data-ai
llm-ai
0
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
mrkingsleyobi
data-ai
llm-ai
0
agent-workflow-patterns
AI agent workflow patterns including ReAct agents, multi-agent systems, loop control, tool orchestration, and autonomous agent architectures. Use when building AI agents, implementing workflows, creating autonomous systems, or when user mentions agents, workflows, ReAct, multi-step reasoning, loop control, agent orchestration, or autonomous AI.
vanman2024
data-ai
llm-ai
0
debug-bridge
Browser automation and inspection for AI agents via WebSocket
stevengonsalvez
data-ai