Skills Plugins MCP Prompt Model 博客 我的中心

team-builder

Interactive agent picker for composing and dispatching parallel teams. Use when composing and dispatching a parallel team of agents for a task.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

Get

https://deepseekmodel.com/api/download.php?id=affaan-m-ecc-skills-team-builder-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name team-builder description Interactive agent picker for composing and dispatching parallel teams. Use when composing and dispatching a parallel team of agents for a task. metadata {"origin":"community"} Team Builder Interactive menu for browsing and composing agent teams on demand. Works with flat or domain-subdirectory agent collections. When to Use You have multiple agent personas (markdown files) and want to pick which ones to use for a task You want to compose an ad-hoc team from different domains (e.g., Security + SEO + Architecture) You want to browse what agents are available before deciding Prerequisites Agent files must be markdown files containing a persona prompt (identity, rules, workflow, deliverables). The first # Heading is used as the agent name and the first paragraph as the description. Both flat and subdirectory layouts are supported: Subdirectory layout — domain is inferred from the folder name: agents/ ├── engineering/ │ ├── security-engineer.md │ └── software-architect.md ├── marketing/ │ └── seo-specialist.md └── sales/ └── discovery-coach.md Flat layout — domain inferred from shared filename prefixes. A prefix counts as a domain when 2+ files share it. Files with unique prefixes go to "General". Note: the algorithm splits at the first - , so multi-word domains (e.g., product-management ) should use the subdirectory layout instead: agents/ ├── engineering-security-engineer.md ├── engineering-software-architect.md ├── marketing-seo-specialist.md ├── marketing-content-strategist.md ├── sales-discovery-coach.md └── sales-outbound-strategist.md Configuration Agents are discovered via two methods, merged and deduplicated by agent name: claude agents command (primary) — run claude agents to get all agents known to the CLI, including user agents, plugin agents (e.g. ecc:architect ), and built-in agents. This automatically covers ECC marketplace installs without any path configuration. File glob (fallback, for reading agent content) — agent markdown files are read from: ./agents/**/*.md + ./agents/*.md — project-local agents ~/.claude/agents/**/*.md + ~/.claude/agents/*.md — global user agents Earlier sources take precedence when names collide: user agents > plugin agents > built-in agents. A custom path can be used instead if the user specifies one. How It Works Step 1: Discover Available Agents Run claude agents to get the full agent list. Parse each line: Plugin agents are prefixed with plugin-name: (e.g., ecc:security-reviewer ). Use the part after : as the agent name and the plugin name as the domain. User agents have no prefix. Read the corresponding markdown file from ~/.claude/agents/ or ./agents/ to extract the name and description. Built-in agents (e.g., Explore , Plan ) are skipped unless the user explicitly asks to include them. For user agents loaded from markdown files: Subdirectory layout: extract the domain from the parent folder name Flat layout: collect all filename prefixes (text before the first - ). A prefix qualifies as a domain only if it appears in 2 or more filenames (e.g., engineering-security-engineer.md and engineering-software-architect.md both start with engineering → Engineering domain). Files with unique prefixes (e.g., code-reviewer.md , tdd-guide.md ) are grouped under "General" Extract the agent name from the first # Heading . If no heading is found, derive the name from the filename (strip .md , replace hyphens with spaces, title-case) Extract a one-line summary from the first paragraph after the heading If no agents are found after running claude agents and probing file locations, inform the user: "No agents found. Run claude agents to verify your setup." Then stop. Step 2: Present Domain Menu Available agent domains: 1. Engineering — Software Architect, Security Engineer 2. Marketing — SEO Specialist 3. Sales — Discovery Coach, Outbound Strategist Pick domains or name specific agents (e.g., "1,3" or "security + seo"): Skip domains with zero agents (empty directories) Show agent count per domain Step 3: Handle Selection Accept flexible input: Numbers: "1,3" selects all agents from Engineering and Sales Names: "security + seo" fuzzy-matches against discovered agents "all from engineering" selects every agent in that domain If more than 5 agents are selected, list them alphabetically and ask the user to narrow down: "You selected N agents (max 5). Pick which to keep, or say 'first 5' to use the first five alphabetically." Confirm selection: Selected: Security Engineer + SEO Specialist What should they work on? (describe the task): Step 4: Spawn Agents in Parallel Read each selected agent's markdown file Prompt for the task description if not already provided Spawn all agents in parallel using the Agent tool: subagent_type: "general-purpose" prompt: "{agent file content}\n\nTask: {task description}" Each agent runs independently — no inter-agent communication needed If an agent fails (error, timeout, or empty output), note the failure inline (e.g., "Security Engineer: failed — [reason]") and continue with results from agents that succeeded Step 5: Synthesize Results Collect all outputs and present a unified report: Results grouped by agent Synthesis section highlighting: Agreements across agents Conflicts or tensions between recommendations Recommended next steps If only 1 agent was selected, skip synthesis and present the output directly. Rules Dynamic discovery only. Never hardcode agent lists. New files in the directory auto-appear in the menu. Max 5 agents per team. More than 5 produces diminishing returns and excessive token usage. Enforce at selection time. Parallel dispatch. All agents run simultaneously — use the Agent tool's parallel invocation pattern. Parallel Agent calls, not TeamCreate. This skill uses parallel Agent tool calls for independent work. TeamCreate (a Claude Code tool for multi-agent dialogue) is only needed when agents must debate or respond to each other. Examples User: team builder Claude: Available agent domains: 1. Engineering (2) — Software Architect, Security Engineer 2. Marketing (1) — SEO Specialist 3. Sales (4) — Discovery Coach, Outbound Strategist, Proposal Strategist, Sales Engineer 4. Support (1) — Executive Summary Pick domains or name specific agents: User: security + seo Claude: Selected: Security Engineer + SEO Specialist What should they work on? User: Review my Next.js e-commerce site before launch [Both agents spawn in parallel, each applying their specialty to the codebase] Claude: ## Security Engineer Findings - [findings...] ## SEO Specialist Findings - [findings...] ## Synthesis Both agents agree on: [...] Tension: Security recommends CSP that blocks inline styles, SEO needs inline schema markup. Resolution: [...] Next steps: [...]
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。