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bradygaster/squad
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{what this skill teaches agents}
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Enlist a repository into Squad by installing the supported GitHub Agentic Workflows (gh-aw) bootstrap — with strict compilation, an explicit safe-update allowlist, and a human-reviewed bootstrap PR. Never auto-merges.
Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes. Use after user corrections ("no", "wrong"), praise ("perfect", "exactly"), or when discovering edge cases. Complements…
Resolve explicit and persistent model preferences for Squad spawns without pinning stale defaults
Merge accepted Squad decisions through the active state backend with exact verification
Triage Squad work queues without making unintended bulk changes
Author deterministic skills for operations that change state or invoke external tools
Preserve content when moving entries between tracked Squad state files
Defensive CI/CD patterns: semver validation, token checks, retry logic, and draft detection
Platform detection and adaptive spawning for CLI vs VS Code vs other surfaces
Keep Squad documentation focused on shipped behavior and clearly bounded integrations
Maintain accurate, scannable Squad documentation with validated inventory and links
Record reconciled final outcomes to history.md, not intermediate requests or obsolete claims
Operate Squad's automated insider, preview, and stable release channels safely
Extract durable operating knowledge before slimming or replacing team charters
Reviewer rejection workflow and strict lockout semantics
Design assertions that prove the actual contract and fail on realistic regressions
Cross-platform path handling and command patterns
Validate GitHub Agentic Workflow contracts through compiled artifacts and realistic mutations
Defensive CI/CD patterns: semver validation, token checks, retry logic, and draft detection
Record reconciled final outcomes to history.md, not intermediate requests or obsolete claims
Prepare, publish, recover, and verify Squad insider, preview, and stable releases
How to write comprehensive architectural proposals that drive alignment before code is written
Team initialization flow (Phase 1 proposal + Phase 2 creation)
Per-agent model selection with 4-layer hierarchy and fallback chains
Determines which LLM model to use for each agent spawn
Shared hard rules enforced across all squad agents
How to write comprehensive architectural proposals that drive alignment before code is written
Selecting WHO handles work is the Routing table; selecting HOW they handle it (Direct, Lightweight, Standard, Full) is Response Mode. This skill contains the complete decision table, exemplar prompts for each mode, the Lightweight spawn template, and the…
Enables squad agents on different machines to share work via git-based task queuing
Protocol for sending queries, delegating tasks, and sharing context between independent Squad instances across different repositories
How to coordinate with squads on different machines using git as transport
Microsoft Style Guide + Squad-specific documentation patterns
End-to-end validation of coordinator and agent template changes
Workflow for scanning, drafting, and presenting community responses with a human review gate
Squad branching model: dev-first workflow with insiders preview channel
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