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loongflow

PEES (Plan-Execute-Evaluate-Summary) iterative problem-solving methodology with LoongFlow engine for complex tasks. Use when tasks need structured iteration, optimization, evolution, or when user mentions loongflow/PEES/PES.

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=baidu-baige-loongflow-claude-skills-loongflow-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 loongflow description PEES (Plan-Execute-Evaluate-Summary) iterative problem-solving methodology with LoongFlow engine for complex tasks. Use when tasks need structured iteration, optimization, evolution, or when user mentions loongflow/PEES/PES. LoongFlow — PEES Iterative Problem Solving Use this skill when the user wants to iteratively improve a solution — optimization, evolution, structured retries with learning, or any task that benefits from multiple rounds of refinement rather than a one-shot attempt. Step 1: Analyze and Advise Before starting, analyze the task and advise the user on which mode to use. Present both options clearly: Native PEES (recommended for simple tasks): Best for: single-file fixes, small features, bug fixes, focused improvements How it works: You run Plan-Execute-Evaluate-Summary iterations yourself within this conversation Pros: Fast, no setup, no external dependencies, transparent workspace with full history Cons: Limited to ~5 iterations, single-threaded, no population-based evolution LoongFlow Engine (recommended for complex tasks): Best for: optimization problems, multi-file projects, tasks needing many iterations (50+), population-based evolution with diversity preservation How it works: Downloads the LoongFlow framework, creates a general_agent task, runs evolutionary optimization in the background, monitors via cron Pros: Powerful evolutionary engine with multi-island model, Boltzmann selection, MAP-Elites diversity, checkpointing, cost tracking Cons: Requires ANTHROPIC_API_KEY and ANTHROPIC_BASE_URL , setup time, runs as background process Source: https://github.com/baidu-baige/LoongFlow Ask the user which mode they prefer before proceeding. Step 2: Follow the Mode Guide Once the user chooses, read the corresponding reference file for detailed instructions: Native PEES → Read references/native-pees.md and follow it LoongFlow Engine → Read references/engine-mode.md and follow it Architecture Reference LoongFlow supports three tiers for agent projects: Tier Description Best For Simple ReAct loop + persistent memory Chatbots, tool calling, format conversion Standard ReAct + self-evaluation + iterative improvement Code review, document generation, data analysis Advanced PEES evolution loop with loongflow-memory Math optimization, algorithm design, NP-hard problems Complexity Assessment Task Analysis ├── Only needs conversation + simple tools? → SIMPLE ├── Needs file operations or code generation? │ ├── Has numerical evaluation metric? → ADVANCED │ └── No numerical metric? → STANDARD └── Needs iterative optimization? ├── Has clear scoring function? → ADVANCED └── Qualitative improvement? → STANDARD
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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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