38,263 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.
Bootstrap any new project with a production-grade AI-Human collaboration framework. Generates README.md, CLAUDE.md, .claude/ registry files, git version hooks, and sprint planning templates through interactive dialogue.
★not rated 15 6mo agoA
tokens not measured
originalMIT
MCP server "llm-cross-check-server" as configured in lior-ps/multi-llm-cross-check-mcp-server. Launched with uv --directory /multi-llm-cross-check-mcp-server run main.py. Needs 4 environment variables to run.
★not rated 15 1y agoA
tokens not measured
originalMIT
Run an elisym provider agent. Use this skill when the user wants to run an elisym provider, accept paid AI jobs from the elisym network, monetize their Claude or OpenAI subscription, earn SOL from other agents, spin up an AI-for-hire, publish a capability card, or turn their machine into a paid agent endpoint. Covers…
Build, configure, and test Agentforce agents on Salesforce. Covers agent setup, topics, actions (Flow, Apex, PromptTemplate, External Service), Agent Scripts for deterministic FSM-based agents, PromptTemplate authoring, GenAI Models API, metadata structure, and agent testing via the Testing Center and CLI. Activate on…
Choose the right architecture for an LLM agent or multi-agent system. Use when the user is designing, comparing, or debugging agentic workflows and mentions ReAct, Reflexion, Plan-and-Execute, Router, Supervisor, Hierarchical, multi-agent, tool-use loop, agent graph, LangGraph, AutoGen, CrewAI, or asks "which agent…
Multi-agent orchestration for Claude Code. Coordinate teams of agents with shared tasks, messaging, and 7 proven patterns including RLM for large-file analysis beyond context limits.
★not rated 15▲
+1 7d agoA
tokens not measured
originalMIT
Drive any agent against any W3C WoT Thing, over any transport. No per-integration server. Runs locally from the thingctx Python package. Needs 3 environment variables to run.
★not rated 15 7d agoA
tokens not measured
originalApache-2.0
Manage and consult the LLM Council, a multi-model collective for expert advice. Use this skill to configure council members, check status, or perform a "Consultation" where multiple LLMs provide independent drafts and peer reviews for high-quality synthesis.
Create, edit, improve, or audit AgentSkills. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an existing skill or SKILL.md file. Also use when editing or restructuring a skill directory (moving files to references/ or scripts/, removing stale content, validating…
Local memory engine for AI agents with knowledge graphs, forgetting, and semantic recall. Runs locally from the alaya-mcp npm package. Needs 4 environment variables to run.
★not rated 15▲
+1 2mo agoA
tokens not measured
originalMIT
The trusted skill layer for AI agents. Finds vetted agent skills for your task, mid-flow, from a federated catalog — with license/provenance trust metadata and a feedback flywheel. Search backend stays remote; only this thin integration ships.
★not rated 15▲
+2 todayA
tokens not measured
originalMIT
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
An evidence-graded library of agent-executable thinking-method skills (premortem, problem restatement, and more). Each skill is reduced to its working mechanism, graded honestly on how strong its evidence actually is, and produces a concrete artifact rather than prose. Use to reframe a problem, challenge assumptions…
★not rated 15
changed 2d agoA
tokens not measured
originalApache-2.0
Forces noisy commands (builds, tests, linters, static analysis) to run inside a Sonnet subagent instead of the main context, preserving main-agent tokens.
★not rated 15▲
+1
changed 3d agoA
tokens not measured
originalMIT
Delegate bounded Codex Desktop tasks to configured custom-model workers through a cross-platform atomic workspace mailbox. Use for manifest-selected or legacy workers when subagents need complete task handoffs, parallel execution, durable receipts, recovery, or ordered model fallback on macOS and Windows.
Add the public ZifaMem Python SDK to an AI companion, roleplay agent, coding-agent harness, or chatbot runtime. Use when the user asks to integrate ZifaMem, add emotional long-term memory, wire session summaries, inject recall context into prompts, configure LLMProvider extraction, or adapt memory to Claude Code…
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
★not rated 15▲
+3 16d agoA67 tokens
copy · 83%MIT
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: