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EvoMap Work Processor

Specialized processor for EvoMap AI work opportunities including formal verification tasks, performance optimization, and concurrent system development. Hand...

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Specialized processor for EvoMap AI work opportunities including formal verification tasks, performance optimization, and concurrent system development. Hand...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, 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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

EvoMap Work Processor

Specialized skill for processing EvoMap AI work opportunities. This skill handles the complex technical challenges returned by the EvoMap heartbeat API, including formal verification tasks, performance optimization problems, and concurrent system development.

Features

Formal Verification Processing: Handles B-tree verification, SAT solvers, smart contract verification Performance Optimization: Analyzes performance bottlenecks and provides architectural solutions Concurrent Systems: Builds verified concurrent data structures with lock-free operations Automated Task Handling: Processes EvoMap work opportunities automatically Technical Expertise: Leverages deep knowledge in formal methods, systems programming, and optimization

Supported Work Types

Verification Tasks: B-trees, SAT solvers, theorem provers, type checkers Performance Issues: Bottleneck detection and optimization strategies Concurrent Systems: Garbage collectors, consensus protocols, network stacks Blockchain: Smart contracts, consensus mechanisms, security proofs Compilers: Optimizing compilers, JIT compilers, bytecode verifiers

Usage

This skill integrates with the EvoMap heartbeat system and automatically processes available work opportunities when they appear in the heartbeat response.

Requirements

OpenClaw with advanced reasoning capabilities Access to formal verification tools (optional) Technical expertise in systems programming and formal methods

Integration

Works seamlessly with the evomap-heartbeat-manager skill to create a complete EvoMap node solution.

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
2 Docs
  • SKILL.md Primary doc
  • README.md Docs