black-tortoise-agent-orchestration
Orchestrate Black-Tortoise sub-agents and MCP tools, ensure DDD/Signals-first flow with minimal changes. Use when coordinating multiple agents or MCP tools, planning complex multi-step…
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Updated 11-05 00:16
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Orchestrate Black-Tortoise sub-agents and MCP tools, ensure DDD/Signals-first flow with minimal changes. Use when coordinating multiple agents or MCP tools, planning complex multi-step…
Event-sourcing and EventBus directives for Black-Tortoise, covering structured event schemas, append-before-publish flow, causality/id rules, and safe…
Workflow orchestration patterns for src/app/workflows, focusing on application-layer use cases, long-running flows, event-driven coordination, and…
Research and recommend the best available skill for the current codebase or working directory. Use this whenever the user is working inside an existing project…
Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when…
Structured messaging protocols for agent team communication including message type selection, plan approval, shutdown procedures, and anti-patterns to avoid.…
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking…
Use fastbrowse to complete browser tasks described in natural language, including website research with citations, navigating interactive pages, and filling…
Build email agents using AgentMail API. Use when creating email automation, building AI email agents, setting up webhooks for email notifications, integrating…
Use when executing a task (progress logging, plan updates), when resuming a task after session reset, or when managing task history. Covers progress log…
Guidelines and workflows for the agent to maintain persistent memory using native file tools (read_file, write_file, edit_file) and standard OS commands for…
Edits specific sections of a song using ACE-Step 1.5's repaint mode. Fixes a bad chorus, changes instruments in a section, adds or removes vocals, or…
Run E2E tests and manual QA using Playwright MCP to verify the last completed task in the conversation. Use when needed: (1) Test a…
First-run setup for the Content Repurpose System. Walks a creator through connecting their YouTube channel, writing their Voice DNA into the content prompts,…
AIKSK MiniMax H3 full-domain prompt compiler with AIMixer Director production rules. Covers Base T2VA/I2VA/FL2VA/L2VA and Full-reference Ref2VA, Director…
Author or audit AI agent-friendly CLI tools. Use when creating a new CLI, reviewing an existing CLI for agent compatibility, or deciding between CLI and MCP.
Agent-to-Agent horizontal messaging — Linux Foundation AAIF 2026 standard. Use when multiple agents across systems/vendors need to exchange tasks, results, or…
Layered agent safety — prompt-injection defense, data exfiltration prevention, tool-misuse blocking via NeMo Guardrails + Lakera / LLM Guard / Llama Guard. Use…
Design tiered agent memory — core / recall / archival — with backend selection (mem0, Letta, Zep/Graphiti, LangMem) and temporal vs snapshot tradeoffs. Use…
Instrument LLM agents with traces, metrics, and replay. Use when an agent in production is silently failing, regressing, drifting, or burning tokens. Selects…
Production agent SLA discipline — MAX_LOOPS, MAX_TOKENS, MAX_COST, MAX_LATENCY, MAX_TOOL_CALLS, circuit breakers, sovereignty boundaries, degradation modes.…
Tool registry, capability discovery, schema-first routing, router policies and fallbacks. Use when an agent has more than ~15 tools, multiple MCP servers, or…
Build and publish production MCP servers — capability primitives, Streamable HTTP transport, Server Cards, registry compliance. Use when you're exposing…
Role-level metrics, coordination-failure tests, and transcript grading for multi-agent systems. Use when single-agent eval misses bugs that only appear when…