Define time-varying amplitudes. Use when user mentions ramp, time-varying, cyclic, pulse, or gradually increasing loads. Does NOT handle static constant loads.

Optimize fillet/notch geometry. Use when user mentions stress concentration, fillet optimization, reshaping surfaces, or reducing peak stress. Moves surfaces only.

Complete workflow for topology optimization using Tosca. Use to minimize weight while maintaining stiffness. Requires full Abaqus license (not Learning Edition).

ABLIC (formerly Seiko Instruments) MPN encoding patterns, suffix decoding, and handler guidance. Use when working with ABLIC power management and memory ICs.

Abracon MPN encoding patterns, suffix decoding, and handler guidance. Use when working with Abracon timing devices, crystals, oscillators, RF components, or AbraconHandler.

Manage knowledge graph for autonomous coding. Use when storing relationships, querying connected knowledge, building project understanding, or maintaining semantic memory.

Manage persistent memory for autonomous coding. Use when storing/retrieving knowledge, managing Graphiti integration, persisting learnings, or accessing episodic memory.

Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.

ace-tool

Attributed C-Sets as algebraic databases. Category-theoretic data structures generalizing graphs and dataframes with Gay.jl color integration.

ACSets (Attributed C-Sets): Algebraic databases as in-memory data structures. Category-theoretic formalism for relational databases generalizing graphs and data frames.

<quick_start>

Use to link segments and insights to GTM plays, owners, and measurement

High-performance Rust web framework with actor model foundation.

Remove sequencing adapters from FASTQ files using Cutadapt and Trimmomatic. Supports single-end and paired-end reads, Illumina TruSeq, Nextera, and custom adapter sequences. Use when FastQC shows adapter contamination or before alignment of short reads.

Calibrate guardrail thresholds from live hardware telemetry and emit environment presets. Use when thresholds are hand-tuned or drift with hardware changes.

ADHD-optimized accountability for task tracking, abandonment detection, and interventions. Use when tracking tasks, detecting context switches, or providing accountability support.

ADHD-optimized productivity techniques and interventions. Invoke when user shows signs of task abandonment, context switching, or needs focus assistance.

admin-devops

admin-mcp

admin-unix

admin-windows

admin-wsl

Manage Linux systems covering systemd services, process management, filesystems, networking, performance tuning, and troubleshooting. Use when deploying applications, optimizing server performance, diagnosing production issues, or managing users and security on Linux servers.

Эксперт по оптимизации Facebook Ads. Используй для анализа метрик, Health Score, ad-eater detection и рекомендаций по бюджетам.

Master high-performance rendering for large datasets with Datashader. Use this skill when working with datasets exceeding 100M+ points, optimizing visualization performance, or implementing efficient rendering strategies with rasterization and colormapping techniques.

Production-grade text search algorithms for finding and matching text in large documents with millisecond performance. Includes Boyer-Moore search, n-gram similarity, fuzzy matching, and intelligent indexing. Use when building search features for large documents, finding quotes with imperfect matches, implementing fuzzy search, or need character-level precision.

Web development conventions for Adynato projects. Covers image optimization with img4web, asset management, component patterns, styling, and performance best practices. Use when building or modifying web applications, adding images/assets, or creating UI components.

aeo-optimizer

You are an expert in aerospace and defense supply chain management, aviation manufacturing operations, and MRO (Maintenance, Repair, Overhaul) logistics. Your goal is to help optimize complex multi-ti

Distributed evolutionary memory system using Merkle-DAG branching timelines, holographic erasure coding, and stake-weighted consensus to maintain coherent collective history across thousands of agents despite forking narratives and temporal relativity.

Analyze and optimize AGC (Automatic Gain Control) parameters for WaveCap-SDR channels. Use when audio is too quiet, too loud, has pumping artifacts, or when tuning AGC attack/release/target settings for FM/AM/SSB modes.

agent-assistant

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Compile a chronological record of key decisions, architectural changes, and project evolution optimized for coding agent context-building.

Real-time cost tracking, budget enforcement, and ROI measurement for AI agent operations. Track token usage, predict costs, enforce budget caps ($50-70/month typical), optimize model selection, cache results, measure cost-to-value. Use when tracking AI costs, preventing budget overruns, optimizing spend, measuring ROI, or ensuring cost-effective AI operations.

Design AI agents with recommended patterns and architectures

Retain and recall work context across sessions. Use when user asks to remember something, recall previous work, or reference past discussions. Triggered by phrases like 'remember this', 'save for later', 'recall', 'what did we discuss about'.

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm

Production deployment and operationalization of AI agents on Databricks. Use when deploying agents to Model Serving, setting up MLflow logging and tracing for agents, implementing Agent Evaluation frameworks, monitoring agent performance in production, managing agent versions and rollbacks, optimizing agent costs and latency, or establishing CI/CD pipelines for agents. Covers MLflow integration patterns, evaluation best practices, Model Serving configuration, and production monitoring strategies.

Analyze the codebase to create a concise, LLM-optimized structured overview in .agent/map.md.

Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.

Design robust multi-step agent systems with tools and error handling.

North star guidance for the agent-resources project. Use this skill to understand project context, get inspiration for development decisions, and resolve uncertainty about feature priorities or design choices. Reference when asking 'why does this project exist?' or 'what should we optimize for?'

Guidance for selecting appropriate AI model (sonnet vs haiku) based on task complexity, reasoning requirements, and performance needs. Use when implementing agents or justifying model selection.

Create and manage AI agent skills following best practices. Use when creating new skills, optimizing context, designing multi-agent systems, or implementing progressive disclosure patterns.

AgentDB Persistent Memory Patterns operates on 3 fundamental principles:

Use when building AI agent systems. Covers agent loops, tool calling, planning patterns, memory systems, multi-agent coordination, and safety guardrails. Apply when creating autonomous AI workflows, coding assistants, or task automation systems.

Performance optimization guidelines for Rust CLI tools. Covers efficient command execution, parallel processing, lazy initialization, allocation minimization, config parsing, and build optimizations for cross-platform CLI applications.