Standard collaboration patterns for all squad agents — worktree awareness, decisions, cross-agent communication
The English summary is being prepared. Showing the original description.
Platform detection and adaptive spawning for CLI vs VS Code vs other surfaces
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
Squad runs on multiple Copilot surfaces (CLI, VS Code, JetBrains, GitHub.com). The coordinator must detect its platform and adapt spawning behavior accordingly. Different tools are available on different platforms, requiring conditional logic for agent spawning, SQL usage, and response timing.
Before spawning agents, determine the platform by checking available tools:
CLI mode — task tool is available → full spawning control. Use task with agent_type, mode, model, description, prompt parameters. Collect results via read_agent.
VS Code mode — runSubagent or agent tool is available → conditional behavior. Use runSubagent with the task prompt. Drop agent_type, mode, and model parameters. Multiple subagents in one turn run concurrently (equivalent to background mode). Results return automatically — no read_agent needed.
Fallback mode — neither task nor runSubagent/agent available → work inline. Do not apologize or explain the limitation. Execute the task directly.
If both task and runSubagent are available, prefer task (richer parameter surface).
When in VS Code mode, the coordinator changes behavior in these ways:
runSubagent instead of task. The prompt is the only required parameter — pass the full agent prompt (charter, identity, task, hygiene, response order) exactly as you would on CLI.mode: "background" + read_agent polling.read_agent: Skip entirely. Results return automatically when subagents complete.agent_type: Drop it. All VS Code subagents have full tool access by default. Subagents inherit the parent's tools.description: Drop it. The agent name is already in the prompt.| Feature | CLI | VS Code | Degradation |
|---|---|---|---|
| Parallel fan-out | mode: "background" + read_agent | Multiple subagents in one turn | None — equivalent concurrency |
| Model selection | Per-spawn model param (4-layer hierarchy) | Session model only (Phase 1) | Accept session model, log intent |
| Scribe fire-and-forget | Background, never read | Sync, must wait | Batch with last parallel group |
| Launch table UX | Show table → results later | Skip table → results with response | UX only — results are correct |
| SQL tool | Available | Not available | Avoid SQL in cross-platform code paths |
| Response order bug | Critical workaround | Possibly necessary (unverified) | Keep the block — harmless if unnecessary |
The sql tool is CLI-only. It does not exist on VS Code, JetBrains, or GitHub.com. Any coordinator logic or agent workflow that depends on SQL (todo tracking, batch processing, session state) will silently fail on non-CLI surfaces. Cross-platform code paths must not depend on SQL. Use filesystem-based state (.squad/ files) for anything that must work everywhere.
Example 1: CLI parallel spawn
// Coordinator detects task tool available → CLI mode
task({ agent_type: "general-purpose", mode: "background", model: "claude-sonnet-4.5", ... })
task({ agent_type: "general-purpose", mode: "background", model: "claude-haiku-4.5", ... })
// Later: read_agent for both
Example 2: VS Code parallel spawn
// Coordinator detects runSubagent available → VS Code mode
runSubagent({ prompt: "...Fenster charter + task..." })
runSubagent({ prompt: "...Hockney charter + task..." })
runSubagent({ prompt: "...Scribe charter + task..." }) // Last in group
// Results return automatically, no read_agent
Example 3: Fallback mode
// Neither task nor runSubagent available → work inline
// Coordinator executes the task directly without spawning
task when only runSubagent is availableNo reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Standard collaboration patterns for all squad agents — worktree awareness, decisions, cross-agent communication
The English summary is being prepared. Showing the original description.
Shared hard rules enforced across all squad agents
The English summary is being prepared. Showing the original description.
Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and educational content.
The English summary is being prepared. Showing the original description.
Migrate API controller scope checks to framework-enforced authorization policies while preserving ownership checks.
The English summary is being prepared. Showing the original description.
Review API DTO implementations for contract/domain separation, mapping patterns, and REST compliance
The English summary is being prepared. Showing the original description.
Register shared claims transformation and hierarchical role policies in the API without breaking existing scope enforcement.
The English summary is being prepared. Showing the original description.