AI & ML

q2wxec Bundle

Audits and restructures CLAUDE.md and system prompt configuration for maximum prompt cache efficiency, following Claude Code's internal SYSTEM_PROMPT_DYNAMIC_BOUNDARY pattern. Use this skill when the user asks to "optimize my CLAUDE.md", "reduce token costs", "improve cache hit rate", "restructure my system prompt", or "why is my context so expensive?" Also activate when someone mentions their CLAUDE.md has grown unwieldy or when working on a project where Claude is called frequently and token costs matter.

q2wxec Bundle

Audits Claude Code project configuration for prompt cache health. Detects cache-busting patterns across CLAUDE.md files, MCP server configs, and settings.json. Produces a scored health report with ranked recommendations. Use when the user asks to reduce API costs, improve cache hit rate, optimize token spending, diagnose expensive sessions, or investigate why Claude Code sessions feel slow or pricey.

q2wxec Bundle

agent-squad-designer

craigwhite81 Skill

Analyse Microsoft Copilot Studio agent YAML files and score agent instructions using the ROCKET framework (Role, Objectives, Constraints, Knowledge, Execute, Tone). Use when reviewing, auditing, improving, or templating Copilot Studio agent instructions. Triggers on phrases like "score my agent", "review these instructions", "ROCKET framework", "framework details", "framework template", "template for agent instructions", "help with Role", "help with Constraints", or when a .yaml file containing Copilot Studio agent configuration is provided.

taiki-yoshida Bundle

Pre-flight prerequisite check before implementation work. Surfaces unstated assumptions about scope (hobby vs production), security (CIA + LLM-specific risks), cost, legal/compliance, data model durability, and performance before Claude writes code. Use when starting a new project/repo, adding a feature to unfamiliar code, reviewing vibe-coded output, or when the user asks to "build X" without an operational context. Triggers include "start a new project", "build a production app", "vibe code", "set up a new repo", and pre-implementation sanity checks. Distilled from the comment discussion on 伊勢川暁's Qiita article about amateur vibe coders.

jihonghe68 Bundle

SKILL.md prompt quality auditor. Use this skill whenever a user wants to review, diagnose, or improve any SKILL.md file. Trigger on: audit skill, check prompt quality, skill quality, SKILL.md review, prompt issues, review my skill, skill auditor, optimize skill prompt, scan all skills, full library scan. Trigger even when the user just says "take a look at this skill" or "is my skill well written". Outputs a structured quality report, auto-fixes what it can, and flags the rest for human review.

tigerjibo Skill

JIRA project management operations including task creation, progress tracking, bug status, and board management. Invoke when user needs to create JIRA tasks, check project progress, query bug status, or manage JIRA issues.

spirizeon Skill

Validates llms.txt files for AI agent discoverability. Checks structure, format, required fields, and best practices per ai-visibility.org.uk specification. Use when auditing or validating llms.txt files.

leonascimeto Bundle

Authors and structures professional-grade agent skills following the agentskills.io spec. Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability. Don't use for general documentation, non-agentic library code, or README files.

ramp-public Skill

Complete missing items on your transactions using Ramp MCP tools — memos, accounting categories, funds, trips, attendees, and missing receipts. Use when: 'add memo', 'categorize transactions', 'missing items', 'transaction cleanup', 'fix my transactions', 'set tracking category', 'assign to fund', 'bulk memo update', 'get memo suggestions', 'which transactions are missing receipts/memos/accounting', or similar transaction-maintenance requests. Do NOT use for receipt image uploads (use receipt-compliance) or approvals/rejections (use approval-dashboard).

giulsposito Bundle

Expert Keras3 deep learning in R with multi-backend support. Use when working with keras3, mentions "keras3", "keras3 em R", "keras3 for R", "Functional API", "custom keras layer", "keras preprocessing", "keras application", "keras subclassing", "JAX backend", "multi-backend keras", "keras3 audio", "keras3 NLP", "keras3 vision", "preprocessing layer", "custom training loop", "model subclassing", "Sequential API", "layer_*", "optimizer_adam", "compile model", "fit model", or discusses deep learning with keras3 in R.

giulsposito Skill

Patterns for Bayesian inference in R using brms, including multilevel models, DAG validation, and marginal effects. Use when mentions "Bayesian in R", "Bayesian with R", "brms", "Stan", "cmdstanr", "multilevel model", "hierarchical model", "random effects", "prior specification", "posterior distribution", "MCMC", "Markov Chain Monte Carlo", "DAG", "causal inference", "marginal effects", "tidybayes", or performing Bayesian statistical analysis in R. ONLY R - do NOT activate for Python Bayesian (PyMC3, PyMC, Pyro), NOT for Julia (Turing.jl).

giulsposito Bundle

Master torch (PyTorch for R) deep learning with maximum flexibility and control. Use when mentions "torch", "torch em R", "torch for R", "torch in R", "PyTorch R", "pt", "nn_module", "nn_linear", "nn_conv", "nn_sequential", "torch_tensor", "autograd", "automatic differentiation", "custom training loop", "manual training", "backpropagation", "gradient manipulation", "research model", "custom loss function", "custom layer", "torch dataset", "dataloader", "GPU torch", "CUDA torch", "treinar com torch", "rede neural torch", "CNN torch", "RNN torch", "LSTM torch", "GRU torch", "attention mechanism", "transformer torch", "audio torch", "NLP torch", "vision torch", "time series torch", "torch flexibility", "torch control", "low-level training", "research deep learning", "experimental models", "dynamic computation graph", "when use torch", "torch vs keras", "torch or keras3", "torch benefits", "LibTorch", "mlverse torch", "torch for research", "torch for production", or working with torch R package for deep learning,

krisdontknowcoding Bundle

操作小红书（搜索笔记、获取面经、查看热门内容）。当用户想搜索小红书面经、查找面试经验、了解某公司/岗位的面试情况时使用。基于本地 MCP 服务（localhost:18060）。

arielfikru Bundle

Master skill for the Model Context Protocol (MCP). This acts as the primary registry and base guidelines for interacting with sub-skills (mcp-math, mcp-filesystem, etc).

arielfikru Skill

Specific MCP skill providing mathematical calculation tools (add, multiply, fibonacci, is_prime).

arielfikru Skill

Specific MCP skill providing Read-Only access to the local project filesystem.

giulsposito Bundle

Expert R data science using tidymodels for machine learning. Use when working with tidymodels, recipes, parsnip, tune, workflows, user mentions "machine learning in R", "ML em R", "predictive modeling", "modelagem preditiva", "modelo de classificação", "classification model", "modelo de regressão", "regression model", "feature engineering", "engenharia de features", "model tuning", "tunear modelo", "tuning", "tunar", "tune boosting", "tune gradient boosting", "xgboost tuning", "random forest tuning", "hyperparameters", "hiperparâmetros", "cross-validation", "validação cruzada", "cv", "recipe steps", "data preprocessing", discusses ML workflows, or model development in R.

giulsposito Bundle

Expert time series forecasting and analysis in R using fable/tsibble/feasts. ONLY R - do NOT activate for Python time series (statsmodels, prophet in Python). Use when user mentions "série temporal", "time series", "time series in R", "time series with R", "previsão", "forecasting", "forecast in R", "predict time series", "prever série temporal", "analisar série temporal", "analyze time series", "temporal data in R", "dados temporais", "time-based prediction", "ARIMA in R", "ARIMA model", "ETS in R", "ETS model", "fable", "tsibble", "feasts", "forecast package", "prophet in R", "sazonalidade", "seasonality", "seasonal patterns", "padrões sazonais", "lidar com sazonalidade", "handle seasonality", "tendência", "trend", "decomposição", "decomposition", "temporal", "time-based", "temporal patterns", "padrões temporais", or any R-specific time series task.

giulsposito Skill

Relational data modeling with {dm} package - create, visualize, and manipulate multi-table data models with primary/foreign keys. Use when mentions "dm package", "pacote dm", "relational data", "dados relacionais", "primary key", "chave primária", "foreign key", "chave estrangeira", "data model", "modelo de dados", "multi-table", "múltiplas tabelas", "tabelas relacionadas", "relate tables", "relacionar tabelas", "database schema", "esquema de banco", "esquema de dados", "dm_from_data_frames", "dm_add_pk", "dm_add_fk", "dm_draw", "dm_flatten", "dm_filter", "dm_zoom_to", "visualize schema", "visualizar esquema", "create data model", "criar modelo", "model relational data", "modelar dados relacionais", "work with related data", "trabalhar com dados relacionados", "multiple related tables", "várias tabelas relacionadas", or working with related data frames, relational databases, or referential integrity in R.

giulsposito Bundle

Deep learning in R using torch and keras3 for neural networks across domains. Use when mentions "deep learning em R", "deep learning in R", "torch", "torch em R", "torch for R", "keras3", "keras3 em R", "neural network", "rede neural", "redes neurais", "CNN", "convolutional neural network", "rede convolucional", "RNN", "LSTM", "GRU", "recurrent neural network", "transformer", "GPU em R", "GPU in R", "train neural network", "treinar rede neural", "image classification", "classificação de imagens", "text classification", "classificação de texto", "sound classification", "audio classification", "classificação de sons", "audio deep learning", "deep learning com áudio", "spectrogram CNN", "CRNN", "mel-spectrogram", "torchaudio", "luz package", "build neural network", "construir rede neural", "transfer learning", "fine-tuning", "pretrained model", "modelo pré-treinado", or building/training neural network models in R for vision, NLP, audio, time series, or tabular data.

raghav1257 Bundle

Add an Atlassian Rovo AI agent to a Forge app with manifest configuration, action definitions, and backend handlers. Use when integrating Rovo agents, creating Forge agent actions, building CQL-based tools, or adding AI assistant capabilities to Confluence Forge apps.

temikeezy Bundle

This skill should be used only when the user explicitly mentions "super plan mode", "spm", "use super plan", "run super plan mode", "activate super plan", or directly invokes /super-plan-mode or /spm. Do NOT trigger for generic planning phrases like "plan this", "show me the plan", "think through the approach", or "plan before coding" — those should be handled by the agent's built-in plan mode.

kirillklem Bundle

Build a working mental model of a new or unfamiliar repository and write it down as a reusable repository map. Trigger when the user asks to understand a repo, onboard into a codebase, map the repository, explain how the repo is structured, identify entry points, data flow, module boundaries, test surface, risky areas, or important invariants, including phrases like "разбери репозиторий", "построй карту репо", "помоги быстро понять проект", "onboard me to this repo", "map this codebase", or similar. Inspect the current repository, read the key docs and entry points, identify the main execution flows and boundaries, then create or update a concise reusable repo-map document for future work. Do not use for feature implementation, refactor planning, bug fixing, or generic code explanation of one local function.

resdust Bundle

创建长时间运行的多Agent工作流，采用生成器-评估器循环模式实现高质量应用开发。使用此技能当用户需要开发复杂应用、想要迭代式开发流程、需要多Agent协作、或提到sprint、Planner、Generator、Evaluator等概念时。

lactuphong Skill

Diagnose and optimize Agent Skills (SKILL.md) with real session data and research-backed static analysis. Works with Claude Code, Codex, and any Agent Skills-compatible agent.

zhongpei Skill

Browser QA and dogfooding workflow using direct agent-browser commands.

zhongpei Skill

Command-based authenticated session bootstrap using agent-browser state/cookies features.

ivangit-avoca Skill

Pulls a client's system prompt from Supabase and saves a structured markdown breakdown to their clients/ folder. Use when the user says "pull prompt", "get prompt", "show prompt", or wants to see/export the modules and config for a client's AI voice assistant. Also used by sync workflows to check prompt freshness and re-pull if changed.

zrtch Bundle

Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json. Use when the user mentions free AI, OpenRouter, model switching, rate limits, or wants to reduce AI costs.

zrtch Bundle

PollyReach gives every AI agent a phone number and the ability to get things done over the phone — finding contacts, making calls, and completing tasks. Just tell Polly what you need.

zrtch Skill

Give your AI agent eyes to see the entire internet. Install and configure upstream tools for Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, Douyin, LinkedIn, Boss直聘, RSS, and any web page — then call them directly. Use when: (1) setting up platform access tools for the first time, (2) checking which platforms are available, (3) user asks to configure/enable a platform channel. Triggers: "帮我配", "帮我添加", "帮我安装", "agent reach", "install channels", "configure twitter", "enable reddit".

uhdyindy Bundle

API security testing - GraphQL, REST API, WebSocket, and Web-LLM attack techniques.

senmud Bundle

Craft.do MCP 操作手册 - 通过 craft_client.py 或 mcporter 管理 Craft 文档。当用户说'记录下来'、'存下来'、'保存'、'归档'、'记到Craft'时触发。

zrtch Bundle

Local GitHub repository helper for search, clone, sync, and issue/PR inspection workflows. Use when users mention github/repo/repository, ask to download or track repositories, or need structured local knowledge at /Users/liuchen/Documents/github with gh CLI and GitHub MCP integration.

audn-ai Skill

Quick vulnerability scan of an AI agent endpoint. Runs only critical and high-severity attack scenarios for a fast security check. Use for a rapid smoke test before a full red-team audit.