teamwork-trajectory

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

8|Updated Jun 18, 2026

Search Tags:#agent orchestration #workflow visualization #html dashboard #handoff tracking #teamwork timeline #swarm telemetry

Ready to run

npx skills add https://github.com/ddobrin/plan-skills --skill teamwork-trajectory

💬 Prompt for ChatGPT / Claude Chat▼

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.