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proven-xyz

Official

@proven-xyz

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1Public Repos
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24Published Skills

Offers specialized engineering support for GenLayer contract development, Python codebase refactoring, and frontend interface optimization.

Skills Distribution
DomainDeveloper To...Contract Engineering (40%)Codebase Refactoring (30%)Frontend Development (30%)

Agent Skills by proven-xyz

Showing 24 vetted skills indexed across 1 GitHub repositories.

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2

commit

Generate standardized git commit messages from diffs using Conventional Commits rules.

Official
Advanced
proven-xyzproven-xyz
2

clean-tests

Improves Python pytest unit and integration tests' speed, boundary coverage, and clarity without altering production code.

Official
Intermediate
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2

write-contract

Generate GenLayer contract skeletons with storage, validator, and deployment guidance.

Official
Advanced
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2

web-design-guidelines

Audits UI code for accessibility and UX quality using Web Interface Guidelines.

Official
Advanced
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2

pr-merge

Merge GitHub pull requests with squash after CI checks pass.

Official
Advanced
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2

linear

Create and manage Linear issues from GenLayer templates with backlog or cycle selection.

Official
Intermediate
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2

genvm-lint

Lint, validate, and typecheck GenLayer intelligent contracts for SDK compliance.

Official
Intermediate
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2

integration-tests

Automate end-to-end GenLayer workflow validation against GLSim, Studio, or testnet.

Official
Advanced
proven-xyzproven-xyz
2

clean-comments

Identify and remove stale or misleading Python comments and docstrings.

Official
Basic
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2

direct-tests

Automate in-memory direct-mode tests for GenLayer intelligent contracts with pytest fixtures.

Official
Intermediate
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2

validator-manage

Manage GenLayer validators across testnets using the GenLayer CLI.

Official
Intermediate
proven-xyzproven-xyz
2

clean-names

Rename Python identifiers to improve readability during refactors.

Official
Intermediate
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2

create-skill

Scaffold Claude skill directories with a multi-YAML file set.

Official
Intermediate
proven-xyzproven-xyz
2

clean-functions

Refactor complex Python functions to three or fewer arguments with pure helpers.

Official
Intermediate
proven-xyzproven-xyz
2

genlayernode

Install, upgrade and monitor GenLayer validator node on AMD64 Linux.

Official
Advanced
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2

pr-create

Create GitHub pull requests with conventional titles and structured bodies.

Official
Intermediate
proven-xyzproven-xyz
2

clean-general

Guide Python code cleanup to improve readability and reduce duplication.

Official
Intermediate
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2

genlayer-cli

Deploy, interact with, and debug GenLayer contracts using the GenLayer CLI.

Official
Advanced
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2

frontend-design

Create production-grade frontend interfaces with distinctive aesthetics in React, Vue, or HTML/CSS.

Official
Advanced
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2

vercel-react-best-practices

Apply prioritized performance rules to React components and Next.js pages.

Official
Advanced
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2

python-clean-code

Apply clean-code guidelines and refactoring techniques to Python codebases.

Official
Advanced
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2

xmtp-docs

Locate current XMTP SDK method signatures and usage patterns from documentation.

Official
Intermediate
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2

boy-scout

Automate proportional cleanup during incremental Python edits.

Official
Intermediate
proven-xyzproven-xyz
2

docs-refresh

Regenerate CLAUDE.md and REFERENCE.md from .claude/skills/*/skill.yaml files.

Official
Intermediate

Frequently Asked Questions About proven-xyz

FAQPage Schema
What specific tasks can I perform using proven-xyz?

You can manage GenLayer validator nodes, generate standardized commit messages, refactor Python codebases for readability, audit frontend interfaces for accessibility, and scaffold project documentation from YAML configurations.

Which engineers benefit most from these capabilities?

Blockchain developers working with GenLayer, software engineers maintaining complex Python codebases, and frontend developers focused on React performance and UI/UX standards will find these utilities highly relevant for daily development cycles.

What are the prerequisites for running these utilities?

Most utilities require a standard Linux environment, specifically AMD64 architecture for node management, along with installed dependencies for GenLayer interaction and standard Python development environments for refactoring tasks.