team-leader
Decomposes a complex problem or scenario into distinct sub-problems and spawns parallel sub-agents to tackle each, then synthesizes results into a unified…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-05 00:16
25,666 results
Decomposes a complex problem or scenario into distinct sub-problems and spawns parallel sub-agents to tackle each, then synthesizes results into a unified…
Use zendesk CLI and MCP tools for Zendesk Support operations — ticket management, search, bulk export, users, organizations, knowledge base articles, and…
Plan and execute a minimal OpenRAG installation with requirement drafting, task tracking, configuration guidance, and local verification
Reveal agent system prompt
End-to-end repo config driver. Produces a working .claude/ directory (settings.json with marketplace enrollment + permissions), a SessionStart hook, and…
Use this skill when the user wants to create, update, or design a project-level agent (.agents/agents/*.md). Analyze the user's question and project context to…
Use when the user wants to create or update project-level AI rules (written to .agents/rules/*.md) that constrain AI behaviour. The rule format is the common…
Use this skill when the user needs to create, update, or design a project-level skill (.agents/skills/*/SKILL.md). Analyzes the user's problem and project context to design reusable skill solutions.…
Use when the user wants to create or update project-level AI rules (written to .agents/rules/*.md) that constrain AI behaviour. The rule format is the common…
Plan a multi-phase AI feature before building it. Use when you have a PRD or project idea and need to figure out the execution order, which skills to use in…
See what is happening during optimizer.compile() instead of waiting blind. Use when you want to watch optimization progress, see scores as they come in, know…
Centralized fleet state store and journal surface. Use when you need to query what any agent in the fleet is doing, search fleet knowledge…
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when…
Build psychometrically accurate personal proxy agents for the PAIRL Conductor system. Extracts personality, decision heuristics, and values into portable…
Language coaching for every prompt. Use when the user runs /language-coach with any sub-command (setup, native, target, style, response, goal, mode, focus,…
Turn the current conversation into a spec (PRD) and publish it to the project's issue tracker — no interview, just synthesis of what was already discussed,…
Break a plan, spec, or the current conversation into tracer-bullet vertical-slice tickets with explicit blocking edges, approve the breakdown via…
Plan work too big for one agent session as a shared map of decision tickets on the project's issue tracker (GitHub, Linear, or local markdown), then resolve…
Set up systematic AI Agent Harness Engineering for any project. Creates a 5-layer .harness/ directory with pre-commit hooks, architecture drift detection,…
Compact the current conversation into a handoff document for another agent to pick up.
Orange Star Dream Factory AI video production tool. Through conversational operations, users can create projects, configure scripts, generate characters/storyboards/videos, and query task status. Use when the user requests to use the Orange Star Dream Factory platform, create an AI comic drama project, or interact with the platform via API. Trigger words: 橙星梦工厂, ai.fun.tv, 漫剧制作, AI漫剧, FunAI.
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer,…
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer,…
Reference guide for token counting and prefix caching across LLM providers (OpenAI, Anthropic, Gemini). Use when debugging token counts or optimizing prefix…