responses-agent-patterns
MLflow ResponsesAgent implementation patterns for Databricks GenAI agents including streaming responses, MLflow tracing, OBO authentication with context…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-09 00:13
Agents & models
25,978 results
self-improvement
Enables agent self-reflection and learning from mistakes through systematic skill updates. Prioritizes updating existing skills over creating new ones - always…
skill-freshness-audit
Systematic skill freshness auditing with verification anchors, volatility classification, staleness detection, and upstream lineage tracking across all Agent…
skill-navigator
Intelligent skill navigation system with tiered loading and orchestrator-first routing for context-efficient agent operation. Routes tasks to the correct…
confkey
Work on individual configuration keys (ConfKeys) used in agent-data-plane and in the Datadog Agent — analyzing parity, drafting GitHub issues, and recording…
creating-glaido-mcp-servers
Build a local MCP server that imports directly into the Glaido desktop app. Use this whenever someone wants to add a tool, capability, or integration to Glaido…
12-factor-agent-design-review
Design and evidence-review LLM systems with HumanLayer's 12-Factor Agents. Use whenever planning or auditing an LLM workflow, agent loop, tool-calling app,…
herdr
Control Herdr, a terminal multiplexer for coding agents. Use only when the user explicitly mentions Herdr or asks to use Herdr to inspect or control panes,…
triage
Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.
wayfinder
Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time…
curviate
Entry point for driving LinkedIn work through the Curviate CLI: which skill answers which task, how to resolve the `curviate` binary, the retrieval-mode…
inference-serving-llama-cpp
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is…
mechanistic-interpretability-nnsight
Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to run…
mechanistic-interpretability-pyvene
Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing,…
mechanistic-interpretability-saelens
Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use…
mechanistic-interpretability-transformer-lens
Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation…
model-architecture-litgpt
Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model…
n8n-mcp-tools-expert
Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, or…
n8n-node-configuration
Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between…
nowait
Implements the NOWAIT technique for efficient reasoning in R1-style LLMs. Use when optimizing inference of reasoning models (QwQ, DeepSeek-R1, Phi4-Reasoning,…
pudu-task-telemetry
Measure local AI task latency, token usage, errors and verified outcomes using Pudu AI hardware evidence and installed Ollama models. Use when comparing local…
ray-train
Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with…
tokenization-sentencepiece
Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory),…
workspace-orchestration
Use when working in a persistent-slot workspace that uses docko. Covers slot claims, delegated teammate inheritance, and the rule that code edits inside slots/…