Agent skill

Parallel Agents

by xenitV1 in xenitV1/Antigravity-Workflows

Native multi-agent orchestration using Claude Code's Agent Tool.

MITAuto-check passedAgent Workflows

Install Parallel Agents

skills CLI
$ npx skills add xenitV1/Antigravity-Workflows --skill parallel-agents -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install xenitV1/Antigravity-Workflows parallel-agents --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/xenitV1/Antigravity-Workflows.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/parallel-agents .claude/skills/parallel-agents && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
parallel-agents
GitHub stars
130
Used in
9 other repos
Token cost
~1.3k tokens
SKILL.md length
338 words
Files
1
Skills in repo
42
Repo updated
First seen
Licence
MIT

At a glance

Native multi-agent orchestration using Claude Code's Agent Tool.

  • Works in 5 steps: Available agents - 17 specialized agents… → Logical order - Discovery → Analysis →… → Share context - Pass relevant findings… → …
  • Multiple independent tasks can run with different domain expertise
  • SKILL.md covers Overview, When to Use Orchestration, Native Agent Invocation and Orchestration Patterns, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Parallel Agents is an agent skill from xenitV1/Antigravity-Workflows. Native multi-agent orchestration using Claude Code's Agent Tool. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Subagents and Multi-agent orchestration. The licence is MIT.

When your agent uses it

  • Multiple independent tasks can run with different domain expertise
  • Comprehensive analysis requires multiple perspectives

Example prompts

  • “/parallel-agents”

Requirements

  • Node.js
  • Pre-approved tools (allowed-tools): Read, Glob, Grep

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Available agents - 17 specialized agents can be orchestrated
  2. Logical order - Discovery → Analysis → Implementation → Testing
  3. Share context - Pass relevant findings to subsequent agents
  4. Single synthesis - One unified report, not separate outputs
  5. Verify changes - Always include test-engineer for code modifications

What it can do on your machine

Read from SKILL.md and the folder at commit f0a1fa7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Parallel Agents loads about 1.3k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 338 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from xenitV1/Antigravity-Workflows at commit f0a1fa7, republished under its MIT licence (© xenitV1). 338 words, ~1,334 tokens.

Download SKILL.mdSave it as .claude/skills/parallel-agents/SKILL.md (or your agent's skills folder).
name
parallel-agents
description
Native multi-agent orchestration using Claude Code's Agent Tool. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
allowed-tools
Read, Glob, Grep

Native Parallel Agents

Orchestration through Claude Code's built-in Agent Tool

Overview

This skill enables coordinating multiple specialized agents through Claude Code's native agent system. Unlike external scripts, this approach keeps all orchestration within Claude's control.

When to Use Orchestration

✅ Good for:

  • Complex tasks requiring multiple expertise domains
  • Code analysis from security, performance, and quality perspectives
  • Comprehensive reviews (architecture + security + testing)
  • Feature implementation needing backend + frontend + database work

❌ Not for:

  • Simple, single-domain tasks
  • Quick fixes or small changes
  • Tasks where one agent suffices

Native Agent Invocation

Single Agent
Use the security-auditor agent to review authentication
Sequential Chain
First, use the explorer-agent to discover project structure.
Then, use the backend-specialist to review API endpoints.
Finally, use the test-engineer to identify test gaps.
With Context Passing
Use the frontend-specialist to analyze React components.
Based on those findings, have the test-engineer generate component tests.
Resume Previous Work
Resume agent [agentId] and continue with additional requirements.

Orchestration Patterns

Pattern 1: Comprehensive Analysis
Agents: explorer-agent → [domain-agents] → synthesis

1. explorer-agent: Map codebase structure
2. security-auditor: Security posture
3. backend-specialist: API quality
4. frontend-specialist: UI/UX patterns
5. test-engineer: Test coverage
6. Synthesize all findings
Pattern 2: Feature Review
Agents: affected-domain-agents → test-engineer

1. Identify affected domains (backend? frontend? both?)
2. Invoke relevant domain agents
3. test-engineer verifies changes
4. Synthesize recommendations
Pattern 3: Security Audit
Agents: security-auditor → penetration-tester → synthesis

1. security-auditor: Configuration and code review
2. penetration-tester: Active vulnerability testing
3. Synthesize with prioritized remediation

Available Agents

AgentExpertiseTrigger Phrases
orchestratorCoordination"comprehensive", "multi-perspective"
security-auditorSecurity"security", "auth", "vulnerabilities"
penetration-testerSecurity Testing"pentest", "red team", "exploit"
backend-specialistBackend"API", "server", "Node.js", "Express"
frontend-specialistFrontend"React", "UI", "components", "Next.js"
test-engineerTesting"tests", "coverage", "TDD"
devops-engineerDevOps"deploy", "CI/CD", "infrastructure"
database-architectDatabase"schema", "Prisma", "migrations"
mobile-developerMobile"React Native", "Flutter", "mobile"
api-designerAPI Design"REST", "GraphQL", "OpenAPI"
debuggerDebugging"bug", "error", "not working"
explorer-agentDiscovery"explore", "map", "structure"
documentation-writerDocumentation"write docs", "create README", "generate API docs"
performance-optimizerPerformance"slow", "optimize", "profiling"
project-plannerPlanning"plan", "roadmap", "milestones"
seo-specialistSEO"SEO", "meta tags", "search ranking"
game-developerGame Development"game", "Unity", "Godot", "Phaser"

Claude Code Built-in Agents

These work alongside custom agents:

AgentModelPurpose
ExploreHaikuFast read-only codebase search
PlanSonnetResearch during plan mode
General-purposeSonnetComplex multi-step modifications

Use Explore for quick searches, custom agents for domain expertise.


Synthesis Protocol

After all agents complete, synthesize:

markdown
## Orchestration Synthesis

### Task Summary
[What was accomplished]

### Agent Contributions
| Agent | Finding |
|-------|---------|
| security-auditor | Found X |
| backend-specialist | Identified Y |

### Consolidated Recommendations
1. **Critical**: [Issue from Agent A]
2. **Important**: [Issue from Agent B]
3. **Nice-to-have**: [Enhancement from Agent C]

### Action Items
- [ ] Fix critical security issue
- [ ] Refactor API endpoint
- [ ] Add missing tests

Best Practices

  1. Available agents - 17 specialized agents can be orchestrated
  2. Logical order - Discovery → Analysis → Implementation → Testing
  3. Share context - Pass relevant findings to subsequent agents
  4. Single synthesis - One unified report, not separate outputs
  5. Verify changes - Always include test-engineer for code modifications

Key Benefits

  • ✅ Single session - All agents share context
  • ✅ AI-controlled - Claude orchestrates autonomously
  • ✅ Native integration - Works with built-in Explore, Plan agents
  • ✅ Resume support - Can continue previous agent work
  • ✅ Context passing - Findings flow between agents

© xenitV1, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/parallel-agents of xenitV1/Antigravity-Workflows.

Open the folder on GitHubat commit f0a1fa7

Used in 9 other repositories

We found 19 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 9 other GitHub owners. This page covers the copy in xenitV1/Antigravity-Workflows, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Parallel Agents next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Parallel Agents compared with similar skills
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Parallel Agents this skillxenitV1/Antigravity-Workflows1309 repos~1.3kAutomated safety check: PassMIT
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O2 Review Loopopenobserve/openobserve22k—~3.7kAutomated safety check: PassAGPL-3.0
Harness Agent Team Designerrevfactory/harness9.1k—~4.5kAutomated safety check: PassApache-2.0
ClawTeam Multi-Agent Swarmwin4r/ClawTeam-OpenClaw1.5k1 repos~2.9kAutomated safety check: PassMIT
Sub-Agent Delegationcodewhale-hq/Codewhale41k—~790Automated safety check: PassMIT

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Categories

Questions about Parallel Agents

What does Parallel Agents do?

Native multi-agent orchestration using Claude Code's Agent Tool. Parallel Agents is an agent skill from xenitV1/Antigravity-Workflows. Native multi-agent orchestration using Claude Code's Agent Tool.

When should I use Parallel Agents?

Parallel Agents fits situations like: multiple independent tasks can run with different domain expertise; comprehensive analysis requires multiple perspectives.

How do I install Parallel Agents in Claude Code?

Run `npx skills add xenitV1/Antigravity-Workflows --skill parallel-agents -a claude-code`. Or copy the skill folder (skills/parallel-agents in xenitV1/Antigravity-Workflows) into .claude/skills/parallel-agents in your project. Claude Code loads it when a task matches its description.

How do I install Parallel Agents in Codex?

Run `npx skills add xenitV1/Antigravity-Workflows --skill parallel-agents -a codex`. Or copy the skill folder (skills/parallel-agents in xenitV1/Antigravity-Workflows) into .agents/skills/parallel-agents in your project. Codex loads it when a task matches its description.

Can I use Parallel Agents in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add xenitV1/Antigravity-Workflows --skill parallel-agents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/parallel-agents, .gemini/skills/parallel-agents, .github/skills/parallel-agents and .opencode/skills/parallel-agents in your project.

What does Parallel Agents need to run?

SKILL.md names no scripts, command-line tools or credentials: Parallel Agents is instructions for the agent only. Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Glob, Grep.

Does Parallel Agents access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Parallel Agents safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Parallel Agents use?

Parallel Agents is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Parallel Agents use?

About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Parallel Agents?

Skills that share tags, products or a category with Parallel Agents: Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars), Harness Agent Team Designer (revfactory/harness, 9.1k stars) and ClawTeam Multi-Agent Swarm (win4r/ClawTeam-OpenClaw, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Parallel Agents?

xenitV1 (a GitHub user) maintains it in xenitV1/Antigravity-Workflows, which has 130 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on January 14, 2026.

Source: xenitV1/Antigravity-Workflows on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.