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Found 6,635 Skills
Modern TypeScript patterns your AI agent should use. Strict mode, discriminated unions, satisfies operator, const assertions, and type-safe patterns for TypeScript 5.x.
Technical guide for creating a new Paperclip agent adapter. Use when building a new adapter package, adding support for a new AI coding tool (e.g. a new CLI agent, API-based agent, or custom process), or when modifying the adapter system. Covers the required interfaces, module structure, registration points, and conventions derived from the existing claude-local and codex-local adapters.
Patterns for building AI agents that learn from their own execution, detect failure modes, and improve autonomously. Covers feedback loops, performance regression detection, memory curation, skill extraction, and meta-learning architectures. Use when building agents that need to get better over time, managing auto-memory, or designing self-correcting systems.
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
Instrument a Java application with the Elastic Distribution of OpenTelemetry (EDOT) Java agent for automatic tracing, metrics, and logs. Use when adding observability to a Java service that has no existing APM agent.
Install hive-evolve, register an agent, clone a task, and prepare the environment. Use when user wants to set up hive, join a swarm, or get started with a task. Triggers on "setup hive", "join hive", "hive setup", or first-time hive requests.
Load this skill whenever the user wants to control, automate, or interact with a phone or mobile device. This includes: tapping, swiping, typing, taking screenshots, reading the screen, managing apps, running AI agent tasks on a phone, or any form of phone/mobile automation. Also load when the user mentions Mobilerun, Droidrun, or phone control. Requires a Mobilerun API key (prefixed dr_sk_) and a connected device.
Encodes a continuous improvement loop for goal-seeking agents: EVAL, ANALYZE, RESEARCH (hypothesis + evidence + counter-arguments), IMPROVE, RE-EVAL, DECIDE. Auto-commits improvements (+2% net, no regression >5%) and reverts failures. Works with all 4 SDK implementations. Auto-activates on "improve agent", "self-improving loop", "agent eval loop", "benchmark agents", "run improvement cycle".
Creates missing instruction files (CLAUDE.md, AGENTS.md, GEMINI.md), audits token budget, prompt cache safety, cross-agent consistency. Use after setup or when instruction files need alignment.
Search, install, and manage AI agent skills, commands, tools, knowledge, and memories from any source. Works with Claude Code, OpenCode, Cursor, and any AI coding assistant.
Overview The Instagram Agent allows users to extract data from Instagram, including posts, profiles, hashtags and comments, to bypass limitations of manual research. By using the Instagram Agent, bu
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.