Orchestrate research task intake and agent scheduling across academic project modules.
npx skills add https://github.com/TerryFYL/ai-research-army --skill start-army
Please help me install this Agent Skill. Skill: start-army Source: https://github.com/TerryFYL/ai-research-army/tree/main/skills/start-army Command: npx skills add https://github.com/TerryFYL/ai-research-army --skill start-army
AI-driven orchestration of research tasks from intake to delivery, coordinating multiple agents to run end-to-end workflows with versioned requirements and gated quality checks.
Describe the task or provide a data file path, then say /start-army to begin orchestration.
High-intent search queries and answers about installing and using this skill.
Task intake for research orchestration begins by providing a natural language description of your project or specifying a data file path. The system then applies phase-based governance to lock requirements and schedule the appropriate agent roles dynamically.
Yes, you can trigger complex research pipelines using natural language requests or data file paths. The orchestration engine interprets these inputs to match capabilities, schedule agents across roles like data-profiler and stat-analysis, and produce a deliverable package.
Phase-based governance is an orchestration mechanism that ensures versioned requirements and gated quality checks are applied at each project stage. It coordinates nine agent roles, including data-forensics and quality-review, to maintain research integrity from intake to delivery.
Yes, a skill registry is required alongside state management and an orchestration plan to ensure versioned requirements and capability matching. These components allow the system to dynamically schedule agents across roles like research-design and reference-manager.
The main limitation is the strict dependency on a skill registry and state management to function properly. Without these prerequisites, the system cannot perform capability matching or apply the gated quality checks required for phase-driven task intake and delivery.
curiositechMatch natural language tasks to ranked candidate skills using semantic similarity and intent extraction.
tim-krauszPackage completed analyses with environment freezing and reproducibility validation.
BellaBeIdentify and classify constraints as hard, soft, or unknown into guardrails.
skurekjakubGuides teams in scaffolding orchestrators, subagents, routing tables, and artifact plans for agent families.
