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Multi-Agent Team Dispatcher
Route complex projects to specialist AI agents (architect, dev, UI, QA, PM) with consensus, specs and full-lifecycle automation
$9.98
Multi-Agent Team Dispatcher
Example session with this skill installed
Coordinate a new feature for my React + FastAPI project: add CSV import with validation, unit tests and a review of the data model. Use the multi-agent team.
- Read your context and instructions
- Compiled the multi-agent team dispatcher
Summary
The dispatcher routed the task to Architect, Developer, UI Designer and QA agents; the plan passed a two-agent consensus review before implementation.
| Stage | Owner | Output |
|---|---|---|
| Requirements | PM | stories + acceptance criteria |
| Design | Architect | API spec, module boundaries |
| Implementation | Developer | CSV parser, endpoint, UI dropzone |
| Review | Architect | 2 findings fixed (encoding, chunk size) |
| Testing | QA | 14 unit tests, 3 edge-case tests |
Deliverables: code diff, tests (all green), review notes, next steps (add background job for files > 50MB).
Connects securely to your tools. The creator never sees your data.
About this skill
Multi-Agent Team Dispatcher routes your coding tasks to the right specialist AI agent.
FIVE ROLES
- Architect: system design, tech-stack decisions, module boundaries
- Independent Developer: feature implementation, bug fixes
- UI Designer: interface design, design-system alignment, polish
- QA Expert: test plans, test cases, acceptance criteria
- Product Manager: requirement breakdown, task planning, priorities
EIGHT-STAGE WORKFLOW Requirements -> Design -> Task breakdown -> Implementation -> Code review -> Testing -> Integration check -> Delivery. Each stage produces an artifact the next stage consumes.
KEY CAPABILITIES
- Consensus mechanism: multiple agents cross-review plans before code is written
- Spec-driven development: write docs first, code second, verify against docs last
- SU (System Understanding): builds an evidence-based understanding of unfamiliar codebases before touching them
- Autonomous mode: long-running self-directed iteration with guard rails and a safety log
- Bilingual: full Chinese and English support
WHO IS IT FOR Solo developers and small teams who want multi-role collaboration (plan review, security review, test coverage) without hiring a team, and anyone migrating or extending an unfamiliar repo.
Includes a manifest-driven dispatcher, role prompt packs, workflow templates and example projects under MIT License.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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