salla-app-billing
Salla app monetization: plans and addons live in the publication's pricing section (no separate pricing endpoint), billed by Salla. Use when pricing the app,…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-23 00:13
Agents & models
24,524 results
security-copilot-agents
Guidance for Microsoft Security Copilot agents — autonomous, purpose-built AI agents (e.g., phishing triage, alert triage, conditional access optimization,…
bounty-hunter
A professional AI bounty hunter persona named Atlas. Use when seeking, evaluating, or executing paid tasks (bounties, freelance, bug hunting) to maximize…
web-files-file-upload-patterns
File upload patterns - drag-drop dropzones, chunked and resumable uploads, presigned URL flows, file validation (MIME type, magic bytes), progress tracking,…
aviz-skills-installer
Install skills from the AVIZ Skills Library. Use when user wants to install a skill, browse available skills, set up Claude Code skills, or asks about skill…
ghidra-agent-cli
Rust CLI reference for the headless-ghidra pipeline. Covers command syntax, flags, output contract, artifact paths, and workspace layout for all…
todoist-automation
Automate Todoist task management, projects, sections, filtering, and bulk operations via Rube MCP (Composio). Always search tools first for current schemas.
webflow-automation
Automate Webflow CMS collections, site publishing, page management, asset uploads, and ecommerce orders via Rube MCP (Composio). Always search tools first for…
torchforge-rl-training
Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstractions,…
dsh-archive-agent-notes
Use when adding, auditing, pruning, archiving, restoring, or reviewing Agent Notes in deepseek-harness; checks every new note for superseded active records,…
ClawTeam
This skill should be used when the user asks to "create a team", "spawn agents", "assign tasks", "coordinate multiple agents", "check team status", "view…
codeql-semgrep
CodeQL & Semgrep integrates production-grade static analysis into agent workflows for deep vulnerability detection, custom rule authoring, and automated code…
continuous-learning
Continuous Learning enables agents to automatically extract successful patterns from completed sessions and codify them into reusable skills, rules, and prompt…
distributed-llm-pretraining-torchtitan
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or…
fine-tuning-with-trl
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward…
grpo-rl-training
Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
miles-rl-training
Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, needing…
ray-train
Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with…
slime-rl-training
Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation…
torchforge-rl-training
Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstractions,…
training-llms-megatron
Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parameters,…
verl-rl-training
Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms…
smart-search-cli
Instructions for AI agents to use the local smart-search CLI for current web search, source-backed fact checking, URL fetching, site mapping,…
headroom
Context compression for AI agents — 60–95% fewer tokens by compressing tool outputs, logs, files, and conversation history before they reach the model. MCP…