Coordinates multiple agents in swarm mode to plan, execute, review, and finalize software changes.
npx skills add https://github.com/vib795/copilot-anatomy --skill slfg-vib795
Please help me install this Agent Skill. Skill: slfg Source: https://github.com/vib795/copilot-anatomy/tree/main/.github/skills/slfg Command: npx skills add https://github.com/vib795/copilot-anatomy --skill slfg-vib795
This Skill automates end-to-end swarm-based engineering workflows, coordinating multiple agents to plan, execute, review, and finalize changes in a single run.
Start by loading the slfg skill in your Copilot environment and run step 1 to initialize swarm-enabled planning.
High-intent search queries and answers about installing and using this skill.
Swarm-based engineering automation coordinates multiple agents for parallel execution of planning, reviewing, testing, and remediation tasks. It orchestrates a sequential-to-parallel lifecycle to implement a plan across a codebase in a single run.
Swarm orchestration executes lifecycle steps in sequence for initial plan creation, then transitions into parallel swarm mode for work execution, review, and verification. This ensures deterministic, multi-step coordination across multiple agents before finalization.
Yes, swarm orchestration is designed for large monorepos. It launches a parallel swarm to generate a plan, execute changes, review results, and close the loop with a final report, handling both read-only and mutation phases.
The best way is using a deterministic, multi-step orchestration lifecycle. It coordinates subagents to sequentially create a plan, then runs parallel execution for code review and verification, followed by a learn phase to extract patterns.
Yes, the learn and finalize phases observe modified files and extract patterns from the execution. The automation then emits actionable todos for further refinement and closes the loop with a comprehensive final report.
Use parallel swarm orchestration for software projects requiring coordinated execution of planning, reviewing, testing, and remediation across multiple agents. It is necessary when deterministic, multi-step lifecycle management and autofix integration are required.
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