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
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Quality Excellent · 78
v1.0.0
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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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| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
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