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multi-agent

Defines the explicitly parallel variants of typia review and issue campaigns. Use only when the user explicitly requests a team, parallel, or multi-agent review or campaign. Route review work to review.md and issue campaigns to issue-campaign.md. Self-Review and unqualified review remain solo. Multi-agent issue campaigns parallelize discovery and implementation by default, but an explicit request may limit parallelism to discovery and return implementation to the solo campaign.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=samchon-typia-agents-skills-multi-agent-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name multi-agent description Defines the explicitly parallel variants of typia review and issue campaigns. Use only when the user explicitly requests a team, parallel, or multi-agent review or campaign. Route review work to review.md and issue campaigns to issue-campaign.md. Self-Review and unqualified review remain solo. Multi-agent issue campaigns parallelize discovery and implementation by default, but an explicit request may limit parallelism to discovery and return implementation to the solo campaign. Multi-Agent Workflows This skill is the single entry point for every explicitly parallel review or campaign. Read the base solo skill first, then enter through the detailed document below for the requested workflow. That document names any shared multi-agent topic procedures it also requires. Explicit request Base skill Detailed multi-agent procedure Team, parallel, or multi-agent review review review.md Parallel or multi-agent issue campaign issue-campaign issue-campaign.md typia has no benchmark-campaign skill. Use benchmark for measurement integrity, then the applicable issue-campaign workflow for authorized benchmark-driven implementation. Do not load this skill for Self-Review, an unqualified review, a discussion, or a campaign that does not explicitly request parallel agents. Shared Parallelism Rules Use the smallest number of agents that adds independent evidence or owns immediately executable disjoint work. Available thread capacity is not a reason to create an agent, and a review or discovery round is the one place where every available slot should carry a full independent pass. Keep the total at ten agents including the lead, so at most nine children run at once. Never create a waiter, poller, coordinator-only child, duplicate implementation owner, or agent that cannot begin useful work immediately. Give every review or discovery agent the complete declared surface. Parallel review adds independent full passes; it never partitions coverage by package, file, concern, platform, or test lane. Partition implementation only through verified dependency and file-ownership boundaries. One agent owns one coarse batch, branch, pull request, and worktree. Keep the lead active on fact-checking, integration, conflict resolution, and decisions that do not duplicate an assigned agent. Do not let agents re-delegate. Self-Review remains solo for every author and every implementation branch. An independent verifier or critic is a separate agent auditing someone else's work, never a substitute for the author's own round. Create worktrees only for parallel implementation batches, verification, mutation, and integrated cleanup. Solo implementation and review use the current checkout. Remove every finished worktree, local branch, process, and assignment-owned temporary asset before declaring its assignment complete. The solo campaign's commit early-warning pass is a different topology and relaxes neither the full-surface rule nor the solo Self-Review rule above. A parallel review gives several reviewers the entire declared surface independently and the lead adjudicates their findings. The pass gives one read-only reader one commit's slice, reports candidates to the author who is still implementing, and leaves that author's own whole-surface round as the gate. A batch implementation agent here runs no pass, because agents do not re-delegate; the carve-out in the solo development procedure belongs to a solo campaign's main agent.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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