find-skills
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…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-06 00:14
Agents & models
25,728 results
dispatching-parallel-agents
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
using-superpowers
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
mxs-cli-ai-author
Use when an agent must inspect, draft, validate, edit, publish, unpublish, delete, or configure mx-space content through packages/cli or the mxs binary.
ledger-tasks-yylo
Durable in-repo task state for coding agents — Kanban tasks with stable IDs, evidence-backed status marks, blocked-by dependencies, and next-ready selection.…
opencli-usage
Use at the start of any OpenCLI session — this is the top-level map of what `opencli` can do, how to discover adapters, what flags and output formats are…
orca-replay
Answer questions about an earlier agent run from its recording rather than from memory, and replay or fork that run. Use when the user asks why a previous run…
meow-flow
Use when the user starts an interactive-mode request with `/meow-flow` or `/mfl`; coordinate staged MeowFlow agents through mfl thread state, thread updates,…
memwal
Walrus Memory SDK — portable agent memory that works across apps, sessions, and workflows. Use when users say: - "add memory to my app" - "portable agent memory" - "integrate Walrus Memory" - "AI agent memory" - "memory across agents" - "Walrus memory storage" - "setup Walrus Memory" - "recall memories"
agent-builder
Use when creating, improving, or troubleshooting Claude Code subagents. Expert guidance on agent design, system prompts, tool access, model selection, and best…
creating-skills
Use when creating new agent skills or improving existing ones - ensures skills are discoverable, scannable, and effective through proper structure, discovery…
todocue
Manage local persistent to-dos, today's plans, deadlines, reminders, multi-image/file attachments, and daily/weekly recurring tasks via the TodoCue CLI. Use when the user mentions TodoCue, or has already chosen to use TodoCue to record and manage personal tasks; the Agent's own temporary execution steps are not automatically written to personal to-dos.
evidence-credit
Use for work or verify: supply the selected intent as --decided intent.token=<work|verify>; first read references/canon.md, then work -> references/work.md or…
sprint-team
Sprint-based improvement team with specialized agent roles. Use when running the orca self-improvement loop or any multi-agent sprint workflow. Provides…
create-agent-skills
Create, name, rename, revise, or review agent skills for clear triggers, safe workflows, strong checks, lean content, and easy discovery, and score or…
prompt-gpt
Create, revise, or review prompts and agent instructions using the user-specified model or otherwise the detected runtime model to select a matching reference,…
using-codebase-memory-cli
Use `codebase-memory-mcp` in CLI-only mode for graph-first codebase indexing, symbol search, call and data-flow tracing, source snippets, architecture, Cypher,…
autonomous-decision
Guides agents to make objective, data-driven decisions based on telemetry and metrics without human validation or user-pleasing bias.
assessing-business-process-modeling
Evaluate and generate BPMN process models from natural language using the BEF4LLM framework. Assess BPMN XML quality across syntactic, pragmatic, semantic, and…
automated-rubrics-reliable-evaluation
Generate fine-grained evaluation rubrics for medical dialogue systems using a retrieval-augmented multi-agent pipeline. Decomposes medical evidence into atomic…
automated-structural-testing-llm-based
Write structural tests for LLM-based agents using trace-based assertions, mocked LLM responses, and the test automation pyramid. Use when the user says 'test…
internet-agentic-ai-incentive-compatible
Design and implement incentive-compatible multi-agent coalition systems where heterogeneous AI agents dynamically form teams to execute workflows, using…
interpreting-controlling-behavior-constitutions
Learn and apply natural-language constitutions that map prompt edits to predictable model behavior changes. Use atomic concept edits (ACEs) to systematically…
mirror-multi-agent-framework-iterative
Translate natural language optimization problems into mathematical models and solver code using MIRROR's multi-agent pipeline with iterative error correction…