Agent Building skills
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
swarm-scripts
Use swarm scripts for bulk SDK calls, repetitive fan-out, and context-efficient data processing.
agent-builder
Draft new agents and attach scheduled automations to them. Depth-1 cap; drafts only — a human must publish via the UI.
generate-goal
Synthesize the current conversation into a single, self-contained `/goal` prompt that Claude Code can run to continue the agreed-upon work autonomously — so the user never has to hand-summarize a long discussion into a goal directive. Use when the user and Claude have converged on what to do next and the user wants to hand it off to the `/goal` command. Triggers include "generate a goal", "make/write a goal prompt", "turn this into a /goal", "hand this off to /goal", "goalify this", or "/generate-goal". Outputs the prompt to chat only; never writes files to disk.
parallel-phases
End-to-end orchestrator for multi-task parallel work. Phase 1 (setup) gathers code intelligence, analyzes merge-conflict risks, groups tasks into maximally-parallel phases, writes enriched self-contained agent prompts, and generates PLAN.md + STATE.md. Phase 2 (execution) dispatches Opus agents in worktrees with a per-task review-gauntlet sub-skill pass and auto-fix commits, then a doc-update agent at completion. Asks explicit permission before starting autonomous execution. Resilient to /clear via file-backed state. Triggers on /parallel-phases, "parallelize these tasks", "run these in parallel phases".
mdflow
Build and maintain a project's ./flows directory, the agent roster. Each flow is one markdown file that runs as an AI agent (frontmatter + prompt body) on claude, codex, pi, cursor-agent, copilot, agy, or any CLI engine, with colocated behavioral evals. Use when the user asks to "create a flow", "add an agent to this repo", "set up ./flows", "make a markdown agent", or wants repeatable AI tasks with evals.
yolo-master-agent
Use when the user wants to train, validate, predict, track, export, benchmark, tune, inspect, or orchestrate YOLO-Master / Ultralytics experiments in this repository, including LoRA, MoE, multimodal inference/evaluation, and solutions workflows.
EchoKit Config Generator
Generate config.toml for EchoKit servers with interactive setup for ASR, TTS, LLM services, MCP servers, API key entry, and server launch
firebase-ai
Use when setting up firebase_ai, generating text/chat with Gemini, streaming AI output, building multimodal prompts, or handling AI errors.