Orchestrates multiple agents in parallel to handle complex coding tasks effectively.

Install

mkdir -p .claude/skills/rudhra-swarm && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/16720" && unzip -o skill.zip -d .claude/skills/rudhra-swarm && rm skill.zip

Installs to .claude/skills/rudhra-swarm

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Orchestrate multiple specialized agents or agent roles for a project. Use when the user says "rudhra swarm", "spin multiple agents", "orchestrate agents", "parallel agents", "agent team", "multi-agent review", or asks Rudhra to split work across mapper, researcher, implementer, tester, reviewer, and learning roles.
316 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Advanced

Key capabilities

  • Coordinate multiple specialized agent roles for a project
  • Map repository structure, configurations, and risk areas
  • Research current guidance from official documentation
  • Implement minimal code, documentation, or configuration changes
  • Review final diffs for bugs, regressions, and risks

How it works

The skill orchestrates specialized agents (e.g., orchestrator, repo-mapper, implementer) based on a chosen swarm size, running roles in parallel or sequentially, integrating their results, and capturing lessons.

Inputs & outputs

You give it
A project task requiring multiple specialized roles
You get back
A coordinated effort by specialized agents, with integrated results and drafted learnings

When to use rudhra-swarm

  • Multi-agent review
  • Orchestrating parallel development
  • Splitting complex projects

About this skill

Rudhra Swarm

Use this skill when one agent should coordinate several focused roles.

Default Roles

Use only the roles needed for the task:

RoleJob
orchestratorOwns the plan, integration, final decisions, and user communication
repo-mapperReads repo structure, key configs, commands, architecture, and risk areas
docs-researcherChecks official docs or source-backed references for current guidance
implementerMakes the smallest complete code/doc/config changes
test-runnerRuns targeted checks, summarizes failures, and avoids noisy logs
reviewerReviews final diff for bugs, regressions, missing tests, and risk
learning-capturerDrafts reusable lessons for agent/PROMOTE.md; never applies them silently

Workflow

  1. Read AGENTS.md, CLAUDE.md, agent/PROJECT_CONTEXT.md, and agent/WORKFLOW.md.
  2. Choose a swarm size:
    • small: orchestrator + repo-mapper + reviewer
    • medium: small + implementer + test-runner
    • large: medium + docs-researcher + learning-capturer
  3. State the role split briefly before starting substantial work.
  4. Run roles in parallel when the environment supports subagents. If real subagents are unavailable, simulate the roles sequentially with clear headings.
  5. Integrate results in the orchestrator role. Do not let subagents independently commit, push, deploy, or edit the master template.
  6. End with a learning capture pass:
    • project-specific lesson -> project AGENTS.md, CLAUDE.md, or agent/PROJECT_CONTEXT.md
    • reusable lesson -> draft row for agent/PROMOTE.md
    • master-template change -> only via harvest-template-lessons after approval

Approval Rules

  • Ask before deployment, DNS, production data changes, or destructive commands.
  • Ask before adding dependencies.
  • Ask before promoting lessons into the master template.
  • Do not auto-commit or auto-push unless the user explicitly asks.

Output Shape

Keep the final response short:

  • roles used
  • changes made
  • checks run
  • learnings drafted for approval

When not to use it

  • When only one agent is needed for a task
  • When the user does not want to split work across specialized roles
  • When not needing to integrate results from multiple roles

Limitations

  • Do not let subagents independently commit, push, deploy, or edit the master template
  • Ask before deployment, DNS, production data changes, or destructive commands
  • Ask before adding dependencies

How it compares

This workflow enables a structured, multi-agent approach to complex projects, allowing for parallel execution and specialized expertise, which is more efficient than a single agent handling all aspects.

Compared to similar skills

rudhra-swarm side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
rudhra-swarm (this skill)01moNo flagsAdvanced
workflow-router17moReviewIntermediate
loki-mode16moReviewAdvanced
wg03moReviewAdvanced

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