manager-getting-started

Name: manager-getting-started
Author: tomevault-io

Other Community

Repo stars 0
Author updated Live
Author repo skills-registry

Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network

Domain: Other
Compatible agents: Claude Code
Cursor
Cline
Codex
Windsurf
Gemini CLI

+20
Trust score: 88 / 100 · community maintained
Author / version / license: @tomevault-io · no license declared
Token usage: Lean
Setup complexity: Guided setup
External API key: Not required
Operating systems: Unspecified (assume cross-platform)
Runtime requirements: No special requirements
Permissions: Read-only
Write / modify
Shell exec
Network behavior: Local-only
Install commands: 26 variants

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools，默认拥有全部工具权限。

Output preview manager-getting-started.preview

---
name: manager-getting-started
description: Getting started with Manager — the 48-tool multi-AI orchestrator. Use when: delegating code task…
category: other
runtime: no special runtime
---

# manager-getting-started output preview

## PART A: Task fit
- Use case: Getting started with Manager — the 48-tool multi-AI orchestrator. Use when: delegating code tasks to Claude Code/Codex/Gemini, running parallel AI executions, creating workflow templates, or routing tasks across AI backends. Use when this capability is needed..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “What Manager Is / Key Tools / Common Patterns” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Getting started with Manager — the 48-tool multi-AI orchestrator. Use when: delegating code tasks to Claude Code/Codex/Gemini, running parallel AI executions, creating workflow templates, or routing tasks across AI backends. Use when this capability is needed.”.
- **02** When the source has headings, the agent prioritizes “What Manager Is / Key Tools / Common Patterns” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.

## Running Rules
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.

SKILL.md SKILL.md

---
name: manager-getting-started
description: Getting started with Manager — the 48-tool multi-AI orchestrator. Use when: delegating code task…
category: other
source: tomevault-io/skills-registry
---

# manager-getting-started

## When to use
- Getting started with Manager — the 48-tool multi-AI orchestrator. Use when: delegating code tasks to Claude Code/Codex…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.

## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.

## Execution rules
- Organize steps around “What Manager Is / Key Tools / Common Patterns” and keep inference separate from source facts.
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.

## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies.

Evidence boundary and execution chain

The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.

skill "manager-getting-started" {
  input      -> user goal + target files + boundaries + acceptance criteria
  context    -> What Manager Is / Key Tools / Common Patterns
  rules      -> SKILL.md triggers / order / output contract
  runtime    -> no special runtime | read files, write/modify files, run shell commands | mostly runs locally
  guardrails -> usually needs no extra API key + small-sample validation + diff/log review
  output     -> copyable result + checklist + next iteration
}

Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

Core job: Getting started with Manager — the 48-tool multi-AI orchestrator. Use when: delegating code tasks to Claude Code/Codex/Gemini, r…
Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

Structure: The skill is organized around “What Manager Is”, “Key Tools”, “Common Patterns”, “Anti-Patterns”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
Invocation: Name manager-getting-started directly; if the source includes slash commands, start with the command and then add task context.
Validation: Start small and check whether the result follows “What Manager Is / Key Tools / Common Patterns” before expanding.

Boundaries And Review

Dependencies: It usually needs no extra API key, so start with a small validation task.
Permissions: Declared permissions include read / write / shell-exec; ask the agent to state file, command, and rollback boundaries before acting.
Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

What Manager Is

A single MCP server (manager.exe) with 48 tools for multi-AI orchestration. It routes tasks to Claude Code, Codex, Gemini CLI, and GPT, with parallel execution, workflow chaining, and learned routing patterns.

Category	Key Tools	What It Does
Task lifecycle	task_submit, task_status, task_output, task_poll, task_list	Submit, monitor, and retrieve AI task results
Routing	task_route, task_decompose, task_explain	Smart backend selection and task breakdown
Parallel	task_run_parallel	Concurrent multi-backend execution with dependencies
Workflows	workflow_run	Multi-step chains with retry and escalation
Templates	template_save, template_list, template_run	Reusable workflow patterns
Sessions	session_start, session_send, session_list	Interactive AI sessions
Direct access	codex_exec, codex_review, gemini_direct	Call specific backends directly
Analytics	get_analytics, run_analyzer	Execution stats and pattern analysis
Loaves	create_loaf, loaf_update, loaf_status, loaf_close	Multi-step tracked jobs
Notifications	notify	Desktop notifications for task events

Key Tools

I want to...	Use
Delegate a coding task	task_submit(backend="claude_code", prompt="...")
Let Manager pick the best AI	task_submit(auto_route=true, prompt="...")
Run tasks in parallel	task_run_parallel(steps=[...])
Chain steps with retry	workflow_run(steps=[...])
Save a reusable pattern	template_save(name="...", steps=[...])
Check what backend to use	task_route(prompt="...")
Start interactive session	session_start(backend="claude_code")
Get execution stats	get_analytics

Common Patterns

Quick delegation: manager:task_submit(backend="claude_code", prompt="Add error handling to src/main.rs", working_dir="C:/project")

Poll for completion: manager:task_poll(task_id="abc-123", timeout=60)

Parallel review: manager:task_run_parallel(steps=[ {id: "frontend", backend: "claude_code", prompt: "Review src/ui/", parallel_group: "review"}, {id: "backend", backend: "codex", prompt: "Review src/api/", parallel_group: "review"} ])

Anti-Patterns

Don't poll in a tight loop — use task_poll with a timeout instead of repeated task_status
Don't hardcode backends — use auto_route or task_route to let Manager learn which backend works best

Source: AIWander/manager — distributed by TomeVault.

Install command

One-click installPick a runner, click Copy, paste into your terminal, press enter

npx skills add tomevault-io/skills-registry/aiwander--manager--manager-getting-started -y

Open general install guide

View skill source

Works with

Claude Code
Cursor
Cline
Codex
Windsurf
Gemini
OpenCode
Roo Code
AAide
+Augment
GitHub Copilot
OpenClaw
KKiro
Junie
WWarp
Goose
Trae
Kilo Code
OpenHands
Amp
Zencoder
CContinue
AIAider
CodeBuddy
CodeGeeX
Replit Agent

Security audit

88 / 100

Community

未声明 license/许可。
未声明 version。
未限定 allowed-tools，默认拥有全部工具权限。

Metadata

Source: github
tomevault-io/skills-registry
中文

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Category & tags

Category Other