Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Octoflow
Use when the user wants to run GPU-accelerated computations, analyze data, process images, train ML models, or generate code from natural language. OctoFlow...
skill openclawclawhub Free
Use when the user wants to run GPU-accelerated computations, analyze data, process images, train ML models, or generate code from natural language. OctoFlow...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.5.8
Provenance
- Publisher
- mikedconcepcion
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
OctoFlow
GPU-native programming language. Describe tasks in English, run them on any GPU via Vulkan.
When to Use This Skill
Use this skill when the user says: "sort a million numbers on GPU" / "benchmark GPU performance" "load this CSV and show me statistics" / "analyze my data" "cluster my dataset" / "run K-means" / "train a classifier" "blur this image" / "resize this BMP" / "encode a GIF" "plot height vs weight" / "create a scatter plot" "calculate the Sharpe ratio" / "compute correlation" "find primes" / "generate random numbers on GPU" "run linear regression on my dataset" "run a LLM on my GPU" / "inference on my GPU" Do NOT use this skill when: The user wants Python/JavaScript/Rust code (use the appropriate language tool) The task doesn't benefit from GPU acceleration or OctoFlow's built-in functions The user explicitly asks for a different language
Chat mode (natural language to running code)
octoflow chat "sort 1M numbers on GPU"
Run a .flow script
octoflow run program.flow
Run with permissions (sandboxed by default)
# Allow reading data files octoflow run analysis.flow --allow-read=./data # Allow network access to specific domain octoflow chat "fetch weather data" --allow-net=api.weather.com # Allow writing output files octoflow run report.flow --allow-read=./data --allow-write=./output
Security Model
OctoFlow uses Deno-style permissions. Everything is denied by default. PermissionDefaultHow to enableExampleFile readDENIED--allow-read=./dataRead CSV from ./data onlyFile writeDENIED--allow-write=./outputWrite results to ./output onlyNetworkDENIED--allow-net=api.example.comFetch from one domain onlyProcess execDENIED--allow-exec=curlAllow curl only Without flags, OctoFlow can only read .flow source files and print to stdout. No file access, no network, no subprocesses unless the user explicitly opts in.
MCP Server
OctoFlow can run as an MCP server for AI agent integration: octoflow mcp-serve Add to your OpenClaw, Claude Desktop, or Cursor config: {"mcpServers": {"octoflow": {"command": "octoflow", "args": ["mcp-serve"]}}}
Available Tools
ToolDescriptionoctoflow_runExecute OctoFlow code directlyoctoflow_chatNatural language to GPU codeoctoflow_checkValidate .flow syntaxoctoflow_gpu_sortGPU-accelerated sortingoctoflow_gpu_statsGPU statistical operationsoctoflow_imageImage processing (BMP, GIF)octoflow_csvCSV data analysis
Data Analysis
# User: "analyze sales.csv and show trends" octoflow chat "load sales.csv, compute monthly averages, and plot the trend" --allow-read=.
GPU Compute
# User: "sort a large dataset on GPU" octoflow chat "generate 1M random numbers on GPU and sort them"
Machine Learning
# User: "cluster my customers" octoflow chat "load customers.csv, run K-means with 5 clusters, print cluster sizes" --allow-read=.
Image Processing
# User: "blur this photo" octoflow chat "load photo.bmp, apply gaussian blur, save as blurred.bmp" --allow-read=. --allow-write=.
Statistics
# User: "what's the correlation between these columns?" octoflow chat "load data.csv, compute Pearson correlation between col1 and col2" --allow-read=.
Key Capabilities
FeatureDetailBuiltins210+ built-in functionsStdlib445 modules across 28 domainsGPU kernels150 Vulkan compute shadersGPU VMLoom Engine β 5 SSBOs, indirect dispatch, layer streamingGPU supportAny Vulkan GPU (NVIDIA, AMD, Intel)Binary size4.5 MB, zero dependenciesChat modeEnglish to code with auto-fix loop (max 3 retries)Errors69 structured error codes with auto-fix suggestionsMCP Server7 structured tools via JSON-RPC 2.0PlatformsWindows, Linux, macOS (Apple Silicon)
Data Storage
OctoFlow optionally saves your preferences to ~/.octoflow/ (user-level) and .octoflow/ (per-project). Contents: which stdlib modules you use frequently and corrections from previous sessions. No telemetry. No data is sent anywhere. No network calls unless you explicitly use --allow-net. All data stays local on your machine. Disable entirely with --no-memory flag β nothing is saved. Project config via OCTOFLOW.md in your project root (like .eslintrc or pyproject.toml).
Download (recommended)
PlatformFileSHA-256Windows x64octoflow-v1.5.8-x86_64-windows.zip2b26049565a2bfd2b1c4a1c103f2a64cd864dd14da619bd7be750ad3c6b356f2Linux x64octoflow-v1.5.8-x86_64-linux.tar.gzd7306fc1f5a9a733a66ae3a4d5f3b145670efa7a079302935d867b4b75551845macOS (Apple Silicon)octoflow-v1.5.8-aarch64-macos.tar.gz33808c330dc5f08eb0008b52ecfb5f0ea532fb71b1c6996075c09b33dc5d8fd2 Verify: sha256sum octoflow-v1.5.8-* (full checksums in SHA256SUMS.txt). Unzip/extract, add to PATH. No installer needed.
Links
GitHub Documentation Releases
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md