teamwork-trajectory

Compile agent activity into an interactive HTML timeline from .agents/ files.

8|Updated Jun 18, 2026
One-click install
npx skills add https://github.com/ddobrin/plan-skills --skill teamwork-trajectory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: teamwork-trajectory
Source: https://github.com/ddobrin/plan-skills/tree/main/plugins/plan/skills/teamwork-trajectory
Command: npx skills add https://github.com/ddobrin/plan-skills --skill teamwork-trajectory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the effort of manually tracing swarm activity by compiling agent briefings, handoffs, statuses, and produced documents into a navigable visual timeline.

Core Features & Use Cases

  • Agent Discovery: Scans the workspace .agents/ directory and identifies participating agents.
  • Metadata Parsing: Extracts roster details, conversation IDs, roles, handoff summaries, execution modes, phases, and generated Markdown documents.
  • Interactive Visualization: Produces a dark-mode HTML dashboard with phase filtering, search, expandable agent details, document links, and conversation ID copying.
  • Use Case: After a multi-agent planning or implementation run, generate a single trajectory dashboard to review execution order, parallel work, handoffs, and deliverables.

Quick Start

Ask the AI to generate a teamwork trajectory dashboard from the current .agents/ directory.

Frequently Asked Questions about teamwork-trajectory

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

FAQPage Schema
How do I visualize multi-agent execution and handoffs after a swarm run?

To visualize multi-agent execution, the Skill compiles agent activity from the .agents/ directory into an interactive HTML timeline. This trajectory dashboard traces swarm execution phases, parallel work, and handoff summaries.

What is an agent trajectory dashboard and how does it work?

An agent trajectory dashboard is an interactive dark-mode HTML visualization of swarm telemetry. It parses Python standard-library files to map participating agents, execution modes, and generated Markdown documents.

How do I generate a teamwork timeline from agent briefings and deliverables?

Generate a teamwork timeline by scanning the .agents/ directory to extract roster details, conversation IDs, roles, and handoff summaries. The parsed metadata is then written to a navigable trajectory.html file.

Can I filter swarm telemetry by execution phase in the generated HTML dashboard?

Yes, you can filter swarm telemetry by execution phase in the HTML dashboard. The visualization supports phase filtering, search capabilities, expandable agent details, document links, and conversation ID copying.

Do I need external Python dependencies to parse agent handoff tracking files?

No external Python dependencies are required to parse agent handoff tracking files. The Skill relies solely on Python standard-library file parsing to extract briefings, statuses, and deliverables from the .agents/ directory.

What's the best way to review parallel work and document links from a multi-agent planning workflow?

The best way to review parallel work is generating a single trajectory dashboard that maps execution order and links generated Markdown documents. It compiles conversation IDs, roles, and handoff summaries into one navigable interface.