Individual skill

team-planner

Use when a task is too large or multi-domain for a single agent — assemble a specialist team, assign work via SQL tracking, dispatch with /fleet or task tool, and synthesize results

skills/copilot-exclusive/team-planner/SKILL.md

Read pinned source

Source commit 76ee15b3b90d544cfffa70421a8788fda0f4ebba

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 5, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
48
Repository last updated
Nov 5, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Team Planner (Copilot-Native)

A Copilot CLI-native redesign of the “harness meta-skill” concept.

It does **not** assume Claude Code primitives like TeamCreate/TaskCreate exist. Instead, it uses
Copilot CLI’s actual primitives:

- `task` tool (agent types: `explore`, `task`, `general-purpose`, `code-review`, `security-review`, `research`, `rubber-duck`)
- `/fleet` for parallel sub-agent execution
- SQL **session database** for tracking (`sql` tool)
- `read_agent` / `write_agent` for monitoring and follow-ups

The lead planner acts as the **conductor**: it assigns ownership, coordinates sequencing,
and decides when a second model should challenge or review another agent's output.