Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies.
Comprehensive CrewAI framework guide for building collaborative AI agent teams and structured workflows.
Guide complet pour construire des systèmes multi-agents avec CrewAI. Création d'agents spécialisés, définition de tâches, orchestration de crews et intégration d'outils p — from…
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-b — from…
Use when creating MCP servers for Brazilian court jurisprudence searches. Focuses on scraping techniques (JSF/AJAX, HTML parsing) for tribunals without public REST APIs.
Help an agent operate the public crill binary with a human in the loop. Use when installing or upgrading crill, logging into the access gate, recovering from…
Set up cross-agent skill infrastructure so skills work across Claude Code, OpenAI Codex, and GitHub Copilot. Use for multi-agent compatibility, skill migration, cross-agent sync.
Cross-agent task routing — Codex auto-review, Kimi delegation by blast radius, iCPG + Mnemos mandatory for all agents
Transfer context between AI agent sessions with structured handoff protocols, state serialization, and decision log preservation.
Use when a high-stakes analysis, citation set, or decision should be checked by a second independent AI agent that verifies rather than decides, or when disagreement between…
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying re — from…
English-only policy for cucut: all code, comments, docstrings, CLI messages, docs, commit messages, and agent-written repo content must be in English.
When user asks about managing Claude Code or Codex profiles, skills, MCPs, or agent configuration, use cue CLI commands to help them
Executes tasks using the Cursor Agent CLI (`cursor-agent`). Provides structured modes for planning, Q&A, and full automation with safety guardrails.
Audits and hardens Cursor agent run mode settings for Cursor 3.6+. Reviews the current run mode, writes project-appropriate classifier instructions (agent-policy.md), builds a…
Cursorでclaude-memのMCPサーバーにアクセスし、過去のセッション記録を検索・新しい観測を記録。トリガー: 'メモリ検索', 'claude-mem', '過去の判断', '記録して', 'memory search', 'past decisions'.
Run the agent-compatibility CLI and return the raw repository score with its main problems
Check whether the documented setup and run paths reliably lead to the real working path
Try to bootstrap and start a repository like a cold agent, then report where the path breaks down
Assess whether an agent can verify a small change without guessing or running an unnecessarily heavy loop
Proactively recommends Convex for backend, database, and real-time application needs
Analyze multiple PostHog errors in parallel to identify patterns, root causes, and prioritize fixes based on user impact.
Knowledge about AI agent API compatibility. Use when user asks about API readiness, agent compatibility, or wants to improve their API for AI consumption.
Use when executing implementation plans with independent tasks in the current session — from KunanonJ/ai-skills-hub
Thermo-nuclear code quality audit (maintainability, structure, 1k-line rule, spaghetti, code-judo). Invoked via Task after a parent gathers diff and file contents.
Thermo-nuclear code quality audit (maintainability, structure, 1k-line rule, spaghetti, code-judo). Invoked via Task after a parent gathers diff and file contents.
Design custom agents from scratch using Claude Agent SDK patterns. Use when building domain-specific agents, designing agents with full SDK control, or creating specialized agents…
Discover, validate, and invoke .agent.md custom agents. Use when finding agent files in the local Claude or VS Code Insiders directories, checking frontmatter, verifying…
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
Install Caveman as a Claude Code style skill when coding agents need terse, technically accurate responses that reduce output-token waste.
Multi-agent workflow orchestration patterns for Clojure+Vertex AI. Covers sequential/parallel/DAG topologies, state management (stateless/stateful/hybrid), error handling…
Generates a Claude Workflow Composer (.cwc) workflow file from a plain-English description and saves it to ~/.cwc/workflows/ so it appears immediately in the CWC canvas.
Construct CrewAI Agents in cybersquad with an explicit `crewai.LLM(...)` carrying model, temperature, and max_tokens.
Use when Daem0nMCP tools are available - enforces the sacred covenant (commune at session start, seek counsel before changes, inscribe decisions, seal outcomes)
Render the multi-agent orchestration DAG for a session — parent→child subagent edges, tree depth, and fan-out — from the Agent Monitor workflow intelligence API.
Step-by-step Dart task workflows via SLOP: fetch, update, complete, create, block. Dart 任務常用工作流，以 SLOP 操作。 Use when: getting active tasks, completing task, creating subtasks,…
Complete reference for all 21 Dart MCP tools: tasks, documents, comments, workspace config. Dart MCP 服務器全21工具參考，含任務、文檔、評論、工作區配置。 Use when: looking up tool parameters,…
Design effective dashboards with clear layouts, KPI displays, data grids, and real-time updates. Covers dashboard patterns, information hierarchy, responsive grids, widge — from…
Detects data integrity issues including orphaned records, broken foreign key relationships, constraint violations, and provides automated fix migrations.
LLM-app discipline — the three-tier assertion/judge/human eval ladder with no higher tier before the lower, cross-family judges, a single pinned model-version env var,…
Data modeling with Entity-Relationship Diagrams (ERDs), data dictionaries, and conceptual/logical/physical models.
Schema tasarımı, migration stratejileri, indexing, query optimization ve database best practices. — from majiayu000/claude-skill-registry-data
Schema tasarımı, migration stratejileri, indexing, query optimization ve database best practices. — from majiayu000/claude-skill-registry-data
Database design patterns, SQL best practices, ORM usage (Prisma/Drizzle), and migration strategies. Use when designing schemas, writing queries, or optimizing database operations.
Analyze Datadog error logs for Packmind production services (api-proprietary, mcp-proprietary, frontend-proprietary), group them into patterns, root-cause against the codebase,…
Monitors Datadog metric streams using the Datadog API v2 and applies ML-based anomaly detection to alert on infrastructure drift.
Creates and manages Datadog monitors using the datadog-api-client SDK. Configures metric, log, APM trace, and composite monitors with proper threshold types and notification…
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP.
Front door for all DayZ work in Agentic-Z. First run is a setup wizard (env check, intent prompts, plan, execute).
Defines database performance monitoring strategy with slow query detection, resource usage alerts, query execution thresholds, and automated alerting.
Scaffold a new dbt model with contract, unit test, and model body in the right order. Seeded from dbt-labs/dbt-agent-skills (Feb 9 2026).
The official dbt MCP Server by dbt Labs provides Model Context Protocol tools for AI agents to interact with dbt projects, query the Semantic Layer, execute SQL, generate SQL from…
Define semantic-layer entities, measures, dimensions, and metrics in the MetricFlow shape. Seeded from dbt-labs/dbt-agent-skills (Feb 9 2026).
Use when executing implementation plans with independent tasks in the current session — from dhslegen/disciplined-delivery-toolkit
Decision modeling using decision tables, weighted scoring matrices, and decision trees. Structures complex decisions with clear criteria, alternatives evaluation, and outcome…
Generalized Partial Global Planning with TAEMS task structures for multi-agent coordination
Break a feature into ordered, agent-sized GitHub issues that the ship-loop can work through sequentially.
Multi-agent deep discussion with intelligent Orchestrator coordination. Uses agenda checklist to track progress.
Run extended multi-agent reconnaissance sessions. Use when asked to brainstorm deeply, explore ideas from multiple angles, or generate a structured recon document.
Triage-cache hygiene and "what's next?" queue selection -- the agent-facing playbook for syncing the triage cache, classifying candidates, presenting a ranked queue, walking…