Migrate legacy sigint configuration (sigint.local.md or .sigint.config.json v1.0) to sigint.config.json v2.0 with per-topic support and CONTEXT.md generation. Safe, idempotent, supports --dry-run preview and --global flag. Handles both YAML frontmatter and markdown section formats.
This skill should be used when the user asks to "analyze regulations", "regulatory landscape", "compliance requirements", "legal considerations", "regulatory risk", "industry regulations", "compliance analysis", "regulatory trends", or needs guidance on understanding regulatory environments, compliance requirements…
This skill should be used when the user asks to "write a report", "executive summary", "research report format", "report structure", "present findings", "business writing", "analysis documentation", or needs guidance on structuring research outputs, executive communication, or professional report formatting.
Generate a comprehensive market research report from current findings. Orchestrates report-synthesizer using full swarm pattern with TeamCreate, TaskCreate, SendMessage, and TeamDelete.
This skill should be used when the user asks to "assess technology", "technology evaluation", "tech stack analysis", "technical feasibility", "technology trends", "build vs buy", "technology roadmap", "architecture assessment", or needs guidance on evaluating technologies, technical due diligence, or technology…
This skill should be used when the user asks to "identify trends", "analyze market trends", "trend forecasting", "macro trends", "micro trends", "emerging patterns", "future projections", "industry trends", or needs guidance on trend identification, pattern recognition, or market forecasting methodologies.
This skill should be used when the user asks to "model trends with limited data", "three-valued logic analysis", "scenario generation", "transitional graphs", "qualitative trend analysis", "uncertain data analysis", "minimal-information modeling", or needs guidance on trend-based modeling using INC/DEC/CONST logic…
Multi-agent orchestration for Claude Code. Coordinate teams of agents with shared tasks, messaging, and 7 proven patterns including RLM for large-file analysis beyond context limits.
Instructions for zircote-plugins/claude-team-orchestration, covering claude.md, project overview, project structure, development conventions and the 7 orchestration patterns.
Efficient chunk-level analysis agent for RLM workflow. Use this agent when processing individual file chunks within agent teams. Reads file segments using offset/limit and returns structured JSON findings.
JSON-aware chunk analyzer for RLM workflow. Analyzes JSON or JSONL partitions reporting schema patterns, field distributions, structural anomalies, and data characteristics. Returns structured JSON findings.
Choose the right agent type for each task including built-in agents (Bash, Explore, Plan, general-purpose) and plugin agents (review, research, refactoring, SDLC). Use when selecting agent types, understanding agent capabilities, or matching agents to tasks.
Debug and recover from agent team errors including common errors, hooks for quality gates, known limitations, and recovery strategies. Use when encountering team errors, enforcing quality gates with hooks, understanding limitations, or debugging agent issues.
Analyze large JSONL log files using schema-aware partitioned analysis. Discovers field schema, generates tailored jq extraction recipes, and orchestrates parallel chunk analysts with synthesis. Use when processing JSONL logs exceeding context limits, performing log analytics, or investigating incident logs.
Send messages between agents using SendMessage including direct messages, broadcasts, shutdown requests/responses, and plan approvals. Use when communicating between agents, understanding message formats, or handling structured protocol messages.
Master multi-agent orchestration using Claude Code's agent teams and task system. Use when coordinating multiple agents, running parallel code reviews, creating pipeline workflows with dependencies, building self-organizing task queues, or any task benefiting from divide-and-conquer patterns. Routes to specialized…
Apply proven orchestration patterns for agent teams including parallel specialists, pipelines, swarms, research+implementation, plan approval, and multi-file refactoring. Use when choosing a team structure, designing workflows, or implementing specific coordination patterns.
Process files exceeding context limits using the RLM (Recursive Language Model) pattern with agent teams. Use when you need to process large files, analyze documents exceeding context, apply RLM chunking, chunk and analyze large content, or handle long context documents.
Configure how teammate agents run including in-process, tmux, and iTerm2 backends. Use when choosing a display mode, setting up split panes, troubleshooting backend issues, or configuring teammateMode.