Skill Directory

AI Skill Directory

Browse curated skills with source links, package snapshots, README assets and install signals in one calm, searchable catalog.

personjakexiaoNo key required

movement-notation-systems

Designs systems for encoding, scoring, and generating choreographic movement using Laban notation, computational geometry, and procedural animation principles.

download7deployed_codestar4
personjakexiaoNo key required

offload2

Cognitive pressure release valve for agent execution. Use when internal reasoning state cannot be carried forward productively - conflicting assumptions, high reasoning pressure, or risk of compoundin…

download7deployed_codestar0
personjakexiaoNo key required

dspy-ruby

This skill should be used when working with DSPy.rb, a Ruby framework for building type-safe, composable LLM applications. Use this when implementing predictable AI features, creating LLM signatures a…

download7deployed_codestar0
personjakexiaoNo key required

smart-routing

Complexity-based task routing with Q-Learning optimization, Agent Booster WASM fast-path, and Mixture-of-Experts model selection.

download7deployed_codestar460
personjakexiaoNo key required

crewai-setup

CrewAI multi-agent orchestration setup for collaborative AI systems

download7deployed_codestar460
personjakexiaoNo key required

langchain-memory

LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory

download7deployed_codestar460
personjakexiaoNo key required

langgraph-hitl

Human-in-the-loop integration for LangGraph workflows with approval and intervention points

download7deployed_codestar460
personjakexiaoNo key required

reality-tv-narrative-analyzer

Analyze narrative structures, character arcs, and genre conventions in reality television for academic research and content analysis. Use when studying reality TV editing patterns, mapping contestant …

download7deployed_codestar4
personjakexiaoNo key required

ai-ethics

Responsible AI development and ethical considerations. Use when evaluating

download7deployed_codestar4
personjakexiaoNo key required

research-orchestration

Parallel research agent orchestration dispatching 5-10 concurrent agents for comprehensive multi-source research with synthesis and validation.

download7deployed_codestar461
personjakexiaoNo key required

autogen-setup

Microsoft AutoGen multi-agent configuration for conversational AI systems

download7deployed_codestar460
personjakexiaoNo key required

llm-classifier

LLM-based zero-shot and few-shot classification for flexible intent detection

download7deployed_codestar460
personjakexiaoNo key required

spacy-ner

spaCy NER model training and entity extraction for conversational AI

download7deployed_codestar460
personjakexiaoNo key required

local-llm-fine-tuning

Guides users through the process of preparing datasets and fine-tuning local Large Language Models (LLMs) using techniques like LoRA and QLoRA.

download7deployed_codestar4
personjakexiaoNo key required

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

download7deployed_codestar461
personjakexiaoNo key required

pii-redaction

PII detection and redaction utilities for privacy-compliant conversational AI

download7deployed_codestar460
personjakexiaoNo key required

rag-reranking

Cross-encoder reranking and MMR diversity filtering for improved retrieval quality

download7deployed_codestar460