ai-toolkit-rules
Mandatory engineering, security, testing, git, performance, quality, and response rules.…
Coordinates multiple specialized agents in parallel. Triggers: orchestrate, multi-agent, parallel agents, coordinate agents.
$ npx -y skills add softspark/ai-toolkit --skill orchestrate --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/orchestrateContext preview
The summary Claude sees to decide when to auto-load this skill.
Coordinates multiple specialized agents in parallel. Triggers: orchestrate, multi-agent, parallel agents, coordinate agents.
name: orchestrate description: "Coordinates multiple specialized agents in parallel. Triggers: orchestrate, multi-agent, parallel agents, coordinate agents." user-invocable: true effort: max argument-hint: "[task]" context: fork agent: orchestrator model: opus allowed-tools: Bash, Read, Write, Edit, Glob, Grep, Agent, TeamCreate, TeamDelete, SendMessage, TaskCreate, TaskList, TaskUpdate, TaskGet, TaskOutput, TaskStop
$ARGUMENTS
**DO NOT analyze or implement this task yourself.** Your only job is to decompose the task and invoke specialized agents via the `Agent` tool. If you attempt to do the work inline, you have failed.
Analyze the task and identify 3–6 sub-domains (e.g. backend, frontend, security, testing, docs). Define clear file ownership per domain so agents don't conflict.
Present the decomposition to the user and wait for approval before Step 2.
Call the `Agent` tool **multiple times in a single response** — one call per sub-domain. All independent agents MUST be launched in the same message to run in parallel.
Example for a feature implementation task:
Agent(subagent_type="backend-specialist", prompt="...", ...) Agent(subagent_type="frontend-specialist", prompt="...", ...) Agent(subagent_type="test-engineer", prompt="...", ...) Agent(subagent_type="security-auditor", prompt="...", ...)
Each agent prompt MUST include: 1. The original user task 2. The specific sub-task this agent owns 3. File paths this agent is allowed to modify 4. Success criteria for this agent's work
After all agents complete, generate the Orchestration Report combining their findings.
| Agent | Domain | |-------|--------| | `backend-specialist` | API, server logic, databases | | `frontend-specialist` | React, Vue, UI components | | `test-engineer` | Unit, integration, E2E tests | | `security-auditor` | OWASP, vulnerabilities, auth | | `database-architect` | Schema, migrations, queries | | `devops-implementer` | Docker, CI/CD, infra | | `performance-optimizer` | Profiling, bottlenecks | | `documenter` | KB, architecture notes, runbooks | | `code-reviewer` | Code quality, patterns | | `tech-lead` | Architecture, standards |
## Orchestration Report ### Task [Original task] ### Agents Invoked | # | Agent | Sub-task | Files | Status | |---|-------|----------|-------|--------| | 1 | backend-specialist | API layer | src/api/ | Done | | 2 | frontend-specialist | UI components | src/components/ | Done | | 3 | test-engineer | Test suite | tests/ | Done | ### Key Findings 1. **[Agent]**: Finding 2. **[Agent]**: Finding ### Summary [Synthesis]
AI coding toolkit with machine-enforced safety, 116 skills, 44 agents, lifecycle hooks, persona presets, opt-in plugin packs, and benchmark tooling.
Repo: softspark/ai-toolkit
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