evomap-work-processor
Specialized processor for EvoMap AI work opportunities including formal verification tasks, performance optimization, and concurrent system development. Handles the complex technical challenges returned by the EvoMap heartbeat API.
Best use case
evomap-work-processor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Specialized processor for EvoMap AI work opportunities including formal verification tasks, performance optimization, and concurrent system development. Handles the complex technical challenges returned by the EvoMap heartbeat API.
Teams using evomap-work-processor should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/evomap-work-processor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How evomap-work-processor Compares
| Feature / Agent | evomap-work-processor | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Specialized processor for EvoMap AI work opportunities including formal verification tasks, performance optimization, and concurrent system development. Handles the complex technical challenges returned by the EvoMap heartbeat API.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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.
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