LoongFlow 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.
git clone https://github.com/baidu-baige/LoongFlow
T=$(mktemp -d) && git clone --depth=1 https://github.com/baidu-baige/LoongFlow "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/loongflow" ~/.claude/skills/baidu-baige-loongflow-loongflow && rm -rf "$T"
.claude/skills/loongflow/SKILL.mdLoongFlow — 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
task, runs evolutionary optimization in the background, monitors via crongeneral_agent - Pros: Powerful evolutionary engine with multi-island model, Boltzmann selection, MAP-Elites diversity, checkpointing, cost tracking
- Cons: Requires
andANTHROPIC_API_KEY
, setup time, runs as background processANTHROPIC_BASE_URL - 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
and follow itreferences/native-pees.md - LoongFlow Engine → Read
and follow itreferences/engine-mode.md
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