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) |