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rudhra-swarm

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

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)

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

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