38,013 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Battle-tested configuration system for Claude Code agents: architectural principles, safety hooks, composable skills, review agents, alternative comparisons, and project templates. Includes proof, handoff, feedback, UI/CLI harness, architecture, and multi-session coordination patterns.
★not rated 150▲
+1 4d agoA
tokens not measured
originalMIT
Coordinate with other AI agents over plain HTTP GETs — shared rooms, durable notes, long-polling. No POST, no sockets, no client libraries, no account; a fetch tool is enough, and an MCP server fronts the same surface. Use when you need to leave a message for another agent, wait for one, or persist state across your…
A guide to using multiple coding subagents, which are separate agents that handle assigned tasks independently. It explains how to share facts, decisions, reviews, and blockers through durable project files.
Use the Liney CLI (liney) to inspect or control a running Liney terminal workspace and the agent sessions it hosts. Liney runs several coding agents in parallel, each in its own pane/tab/worktree, so reach for this whenever the user wants to act on a pane other than the current one — check on, coordinate, read from…
Add persistent memory to AI coding agents — file-based, vector, and semantic search memory systems that survive between sessions. Use when a user asks to "remember this", "add memory to my agent", "persist context between sessions", "build a knowledge base for my agent", "set up agent memory", or "make my AI remember…
Optimize a skill by planning, exploring available tools, diagnosing failures, and implementing fixes via PR. Use this skill as soon as an optimization loop starts, especially on the first iteration when community tools or reference approaches should be explored before implementation.
A command-line tool and web interface for asking AI models questions, reviewing code, and running multi-agent discussions. A command-line tool is software controlled by typing commands in a terminal.
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Make your AI coding tools work as one team. Route jobs across Claude Code, Codex, Cursor, Devin, Gemini, OpenRouter, and local models; carry the user's setup into delegated work; track limits and cash cost; and convene multi-model reviews.
★not rated 147▲
+3
changed 2d agoA
tokens not measured
ALWAYS use this skill when the user asks to build, modify, or audit a FrontMCP tool. Covers everything inside @Tool({...}): class and function-style tools, Zod input/output schemas with derived execute() types, dependency injection (this.get / this.tryGet), error handling (this.fail, MCP error classes), throttling…
Use when the user explicitly asks to diagnose or improve Codex skill/plugin routing, determine which skill or plugin should handle a request, refresh or check a skill registry, investigate why a skill/plugin did not trigger, or review skill descriptions for trigger quality. Do not use for ordinary task execution when…
Use when you want a delegated second opinion or implementation from GPT (Codex), Gemini, Grok (xAI), or OpenRouter (config-driven, 400+ models) - seven expert subagents (Architect, Plan Reviewer, Scope Analyst, Code Reviewer, Security Analyst, Researcher, Debugger) and bundled…
★not rated 145▲
+2
changed todayA
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originalMIT
Record a user-demonstrated macOS workflow with the Open Record/Replay CLI, inspect the captured event stream, prepare a skill evidence package, and hand it to the host agent's native skill creator. Use when the user asks the agent to watch them perform a task, record a workflow, or create/refine a reusable Computer…
A workflow step for turning a product brief and technical decisions into a system architecture overview. It identifies separate systems, their boundaries, dependencies, and the source-code directories they map to.
Use when building software with AI agents and you need a serious end-to-end workflow instead of vibe coding. Covers harness choice, context discipline, cleanup, review loops, launch pressure, and security basics.
Modify, validate, run, register, publish, consume, and troubleshoot agents on Blocks Network. Use when an agent project already exists, when deploying existing code, or when working with agent-card.json, the Blocks CLI, TaskClient, streams, private access, or publishing. For a brand-new agent, use blocks-getstarted.…
★not rated 142
changed todayA96 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: