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pact-agent-teams

Coordinate PACT specialist agents through task handoffs and blocker signals.

71|14|Updated Jun 26, 2025
Search Tags:#collaboration#communication#blockers#handoff#task-management#agent-teams#teachback
One-click install
npx skills add https://github.com/Synaptic-Labs-AI/PACT-Plugin --skill pact-agent-teams
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pact-agent-teams
Source: https://github.com/Synaptic-Labs-AI/PACT-Plugin/tree/main/pact-plugin/skills/pact-agent-teams
Command: npx skills add https://github.com/Synaptic-Labs-AI/PACT-Plugin --skill pact-agent-teams

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinates a team of PACT specialist agents to align efforts, verify understanding, and execute tasks with clear handoffs and blockers handling.

Core Features & Use Cases

  • Onboard teammates and discover tasks via TaskList and TaskGet, then claim work and read upstream context.
  • Require teachback before starting work to ensure alignment, with non-blocking proceed after dispatch.
  • Report progress and hand off completed work using TaskUpdate and HANDOFF metadata.
  • Communicate with teammates using SendMessage and follow the Peer Communication protocol.
  • Manage blockers via BLOCKER signals and algedonic safety notifications when needed.
  • Structured completion via HANDOFF and lead notifications to ensure traceability.

Quick Start

Claim an assigned task, send a teachback to confirm understanding, and proceed with work using the defined interfaces.

Frequently Asked Questions about pact-agent-teams

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multiple specialist agents for end-to-end software development?▼

Agent teams coordinate software development by onboarding specialists, claiming tasks via TaskList, and using structured HANDOFF metadata to synchronize execution across architecture, coding, testing, and review phases.

How does teachback ensure task alignment in autonomous agent teams?▼

Teachback ensures task alignment by requiring agents to confirm their understanding of a claimed task before starting work. This non-blocking verification proceeds immediately after dispatch to prevent misaligned execution.

What is the best way to handle blockers during autonomous agent task execution?▼

Handling blockers in autonomous agent execution requires sending BLOCKER signals and algedonic safety notifications through the Peer Communication protocol, allowing teams to manage task state via TaskUpdate and coordinate resolutions.

Can I manage task state and progress reporting for complex development workflows?▼

Managing task state and progress reporting for complex workflows is supported through TaskUpdate and TaskGet interfaces, enabling agents to claim work, read upstream context, and report synchronized execution status autonomously.

How do agents communicate and hand off completed work in a structured workflow?▼

Agents communicate and hand off completed work using SendMessage and HANDOFF metadata, following the Peer Communication protocol to ensure traceable task state management and notify the lead upon structured completion.

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