38,215 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.
Create or improve SOUL.md files for OpenClaw agents through guided conversation. Use when designing agent personality, crafting a soul, or saying "help me create a soul". Supports self-improvement.
A skill for creating, editing, and benchmarking Pi skills stored in SKILL.md files. Benchmarking means testing a skill against examples to measure and improve its behavior.
Official AGBook (www.agbook.ai) HTTP API: catalog, search, contributions, feedback, review, reports, points with AGBOOKAPIKEY. Read APIs before heavy writes; after using catalog entries to complete work, prefer POST /feedback to close the loop. Use for AGBook, api.agbook.ai, /api/v1/catalog, discover/candidates…
Turn Raw-layer traces (conversation, pitfalls, best practices) into Wiki-layer skills, or CRUD existing ones, then notify guide to update the routing table.
Interactive walkthrough that builds the user's agent harness — Personalisation (/.claude/CLAUDE.md), Context (project CLAUDE.md), Memory (/.claude/memory/), Skills (/.claude/skills/), Agents (/.claude/agents/), and suggested MCP connectors. Use when the user asks to "set up my agent harness", "build my CLAUDE.md from…
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer for context survival, Compaction Recovery, and battle-tested security patterns. Part of the Hal Stack 🦞.
Pydantic AI Python agent framework. Covers typed tools, model providers, evals, MCP, UI adapters, and observability. Use when building Python AI agents with Pydantic AI, configuring model providers, implementing typed tools/dependencies, running evals, or integrating MCP servers. Keywords: pydantic-ai, agents, evals…
Delegate tasks to other agents in the team by creating real PaperClip child issues. Covers single-agent delegation and multi-agent coordination, with failure handling and idempotency. Trigger phrases: any task outside your direct capabilities (email/calendar/drive) that should be routed to Coder, Infrastructure…
★not rated 23 3d agoASkillSpector: warn111 tokens
originalMIT
Invoke OpenCode CLI as a sub-agent to leverage alternative AI models (GPT-5.x, Codex, local models) for code implementation, review, debugging, research, and second opinions. Use when the user asks to "use opencode", "get a second opinion from GPT/Codex", "implement with opencode", "review with opencode", "let…
Build, test, and manage mcpGraph tools using the mcpGraphToolkit MCP server. Discover MCP servers and tools, construct graph nodes with JSONata and JSON Logic, and interact with mcpGraph configurations. IMPORTANT: Always read this file before creating graph tools using mcpGraphToolkit.
A portable, long-term agentic memory MCP server — a thumb drive for your AI context. Runs locally from the @rsl-innovation/mem-port npm package.
★not rated 22 14d agoA
tokens not measured
originalMIT
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: