Performance
Performance profiling and optimization
telnyx-account-notifications-java
by team-telnyx
Configure notification channels and settings for account alerts and events. This skill provides Java SDK examples.
hindsight-cloud
by vectorize-io
Store team knowledge, project conventions, and learnings from tasks. Use to remember what works and recall context before new tasks. Connects to Hindsight Cloud. (user)
huggingface-tokenizers
by NousResearch
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
rank-tracker
by aaron-he-zhu
'Use when the user asks to "track rankings", "check keyword positions", "ranking changes", "monitor SERP positions", "how am I ranking", "where do I rank for this keyword", "did my rankings change", or "keyword position tracking". Tracks and analyzes keyword ranking positions over time for both traditional search results and AI-generated responses. Monitors ranking changes, identifies trends, and alerts on significant movements. For automated alerting, see alert-manager. For comprehensive reports, see performance-reporter.'
backlink-analyzer
by aaron-he-zhu
'Use when the user asks to "analyze backlinks", "check link profile", "find toxic links", "link building opportunities", "off-page SEO", "who links to me", "I have spammy links", "how do I get more backlinks", or "disavow links". Analyzes backlink profiles to understand link authority, identify toxic links, discover link building opportunities, and monitor competitor link acquisition. Essential for off-page SEO strategy. For internal link analysis, see internal-linking-optimizer. For competitor link profiles, see competitor-analysis.'
backtest-expert
by tradermonty
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
memory-management
by aaron-he-zhu
'Use when the user asks to "remember project context", "save SEO data", "track campaign progress", "store keyword data", "manage project memory", "remember this for next time", "save my keyword data", or "keep track of this campaign". Manages a two-layer memory system (hot cache + cold storage) for SEO/GEO project context, tracking keywords, competitors, metrics, and campaign status with intelligent promotion/demotion.'
sector-analyst
by tradermonty
This skill should be used when analyzing sector and industry performance charts to assess market positioning and rotation patterns. Use this skill when the user provides performance chart images (1-week or 1-month timeframes) for sectors or industries and requests market cycle assessment, sector rotation analysis, or strategic positioning recommendations based on performance data. All analysis and output are conducted in English.
optimizing-attention-flash
by NousResearch
Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.
peft-fine-tuning
by NousResearch
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
huggingface-tokenizers
by NousResearch
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
V3 Memory Unification
by ruvnet
"Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend)."
competitor-analysis
by aaron-he-zhu
'Use when the user asks to "analyze competitors", "competitor SEO", "who ranks for", "competitive analysis", "what are my competitors doing", "what are they doing differently", "why do they rank higher", or "spy on competitor SEO". Analyzes competitor SEO and GEO strategies including their ranking keywords, content approaches, backlink profiles, and AI citation patterns. Reveals opportunities to outperform competition. For content-focused gap analysis, see content-gap-analysis. For link profile specifics, see backlink-analyzer.'
m10-performance
by actionbook
"CRITICAL: Use for performance optimization. Triggers: performance, optimization, benchmark, profiling, flamegraph, criterion, slow, fast, allocation, cache, SIMD, make it faster, 性能优化, 基准测试"
domain-ml
by actionbook
"Use when building ML/AI apps in Rust. Keywords: machine learning, ML, AI, tensor, model, inference, neural network, deep learning, training, prediction, ndarray, tch-rs, burn, candle, 机器学习, 人工智能, 模型推理"
postgres
by mfts
PostgreSQL best practices, query optimization, connection troubleshooting, and performance improvement. Load when working with Postgres databases.
Hooks Automation
by ruvnet
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
LinkedIn Profile Optimizer
by Paramchoudhary
Optimize LinkedIn profile for searchability, recruiter visibility, and engagement
team-iterdev
by catlog22
Unified team skill for iterative development team. All roles invoke this skill with --role arg for role-specific execution. Triggers on "team iterdev".
unsafe-checker
by actionbook
"CRITICAL: Use for unsafe Rust code review and FFI. Triggers on: unsafe, raw pointer, FFI, extern, transmute, *mut, *const, union, #[repr(C)], libc, std::ffi, MaybeUninit, NonNull, SAFETY comment, soundness, undefined behavior, UB, safe wrapper, memory layout, bindgen, cbindgen, CString, CStr, 安全抽象, 裸指针, 外部函数接口, 内存布局, 不安全代码, FFI 绑定, 未定义行为"
c-level-advisor
by alirezarezvani
"10 C-level advisory agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. CEO, CTO, COO, CPO, CMO, CFO, CRO, CISO, CHRO, Executive Mentor. Multi-role board meetings, strategy routing, structured recommendations. For founders needing executive-level decision support."
chro-advisor
by alirezarezvani
"People leadership for scaling companies. Hiring strategy, compensation design, org structure, culture, and retention. Use when building hiring plans, designing comp frameworks, restructuring teams, managing performance, building culture, or when user mentions CHRO, HR, people strategy, talent, headcount, compensation, org design, retention, or performance management."
Agent Designer - Multi-Agent System Architecture
by alirezarezvani
This skill provides the foundation for designing robust, scalable multi-agent systems that can handle complex tasks while maintaining safety, reliability, and performance at scale.
social-media-analyzer
by alirezarezvani
Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use for analyzing social media performance, calculating engagement rate, measuring campaign ROI, comparing platform metrics, or benchmarking against industry standards.