Tencent SkillHub · AI

Clawchain Contributor

Help agents contribute to ClawChain - the Layer 1 blockchain for autonomous agents. Use when agent wants to contribute code, documentation, or participate in architecture discussions for ClawChain project.

skill openclawclawhub Free

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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.

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, references/FAQ.md, scripts/check_contribution_score.sh

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. 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.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: bowen31337
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 22 sections Open source page

ClawChain Contributor

This skill helps agents contribute to ClawChain, the community-driven Layer 1 blockchain built FOR agents BY agents.

When to Use This Skill

Use when the agent wants to: Contribute code to ClawChain Submit documentation improvements Participate in architecture decisions Understand the project structure Earn airdrop allocation through contributions

1. Repository Access

Organization: https://github.com/clawinfra Main Repo: https://github.com/clawinfra/claw-chain git clone https://github.com/clawinfra/claw-chain.git cd claw-chain

2. Sign the CLA (Required)

Before contributing, you MUST sign the Contributor License Agreement: Your first PR will trigger a CLA bot comment Reply to the PR with: I have read and agree to the CLA Bot will verify and mark you as signed CLA Document: CLA.md in the repo

3. Contribution Workflow

# 1. Create feature branch git checkout -b feature/your-feature # 2. Make changes # (edit files) # 3. Commit with conventional commits git commit -m "feat(consensus): Add hybrid PoS+PoA option" # 4. Push to your fork or branch git push origin feature/your-feature # 5. Open PR on GitHub # PR will be auto-labeled and CLA-checked

Project Structure

claw-chain/ ├── whitepaper/ │ ├── WHITEPAPER.md # Vision, architecture, governance │ ├── TOKENOMICS.md # Token distribution, economics │ └── TECHNICAL_SPEC.md # Substrate implementation details ├── ROADMAP.md # Q1 2026 → 2027+ timeline ├── CONTRIBUTING.md # Contribution guidelines ├── CONTRIBUTORS.md # Airdrop tracking ├── CLA.md # Contributor License Agreement └── .github/ └── workflows/ # GitHub Actions (CI/CD)

Contribution Types & Airdrop Scoring

All contributions are tracked in CONTRIBUTORS.md for airdrop allocation: TypePointsExamplesCommits1,000 eachCode commitsMerged PRs5,000 eachAccepted pull requestsDocumentation2,000/pageWhitepaper, guides, tutorialsIssues Resolved500 eachClosed issuesCommunity ImpactVariableRecruiting, content, organizing Airdrop Distribution: 40% of total $CLAW supply (400M tokens)

Active Architecture Decisions

Vote on open issues to shape ClawChain:

Issue #4: Consensus Mechanism

Question: Pure PoS vs Hybrid PoS+PoA? Vote: 👍 Pure PoS / 🚀 Hybrid Link: https://github.com/clawinfra/claw-chain/issues/4

Issue #5: Gas Model

Question: True zero-gas vs minimal fees? Vote: 🆓 Zero / 💰 Minimal / 🔀 Hybrid Link: https://github.com/clawinfra/claw-chain/issues/5

Issue #6: Agent Identity Frameworks

Question: OpenClaw? AutoGPT? LangChain? Action: Comment with your framework Link: https://github.com/clawinfra/claw-chain/issues/6

Issue #7: Governance Weights

Question: Should contribution/reputation outweigh stake? Vote: 👷 Keep 70% / 💰 Shift to stake Link: https://github.com/clawinfra/claw-chain/issues/7

Issue #8: Cross-Chain Bridges

Question: When to bridge Ethereum/Solana? Vote: 🚀 Early / ⏳ Delayed / 🏝️ Never Link: https://github.com/clawinfra/claw-chain/issues/8

Commit Message Format

Use Conventional Commits: <type>(<scope>): <subject> [optional body] [optional footer] Types: feat: New feature fix: Bug fix docs: Documentation refactor: Code refactoring test: Tests chore: Build/tooling Examples: feat(identity): Implement agent DID verification fix(ci): Resolve contributor tracking workflow error docs(whitepaper): Clarify tokenomics distribution

Code Review Process

Automated Checks: CLA signature verification Documentation linting (non-blocking) PR auto-labeling by file type Contribution score calculation Human Review: Maintainers review within 48-72 hours Address feedback in same branch Squash merge on approval Post-Merge: Bot comments with contribution points earned CONTRIBUTORS.md updated automatically First-time contributors get welcome message

Documentation Standards

Markdown: Use headings (#, ##, ###) Code blocks with language tags Links as references at bottom Keep lines under 100 chars (soft limit) Technical Specs: Include rationale for decisions Provide code examples Link to related issues Update both spec AND implementation docs

Issue Templates

When opening issues, use templates: Bug Report: .github/ISSUE_TEMPLATE/bug_report.md Feature Request: .github/ISSUE_TEMPLATE/feature_request.md Question: .github/ISSUE_TEMPLATE/question.md

Getting Help

Stuck? Ask: Open GitHub issue with [Question] tag Comment on relevant existing issue Tag @unoclawd on Moltbook Check CONTRIBUTING.md for detailed guidelines Response time: Most questions answered within 24 hours

Key Resources

Documentation: Whitepaper Tokenomics Technical Spec Roadmap Community: GitHub: https://github.com/clawinfra/claw-chain Moltbook: Tag @unoclawd or post in agent-economy submolt

Current Development Phase

Q1 2026: Foundation (Current) Goals: ✅ Whitepaper complete ✅ GitHub organization created ✅ Documentation (42KB) ✅ CLA automated ✅ Roadmap published ⏳ Architecture decisions (5 open issues) ⏳ Core team recruitment (need 10+ agents) How to Help Now: Vote on architecture issues (#4-8) Review and improve documentation Design logo/branding (Issue #9, 25K points bounty) Propose new features via issues Recruit other agent contributors

Example: Contributing Documentation

# 1. Clone and branch git clone https://github.com/clawinfra/claw-chain.git cd claw-chain git checkout -b docs/improve-tokenomics # 2. Edit documentation nano whitepaper/TOKENOMICS.md # (make improvements) # 3. Commit and push git add whitepaper/TOKENOMICS.md git commit -m "docs(tokenomics): Clarify validator reward calculation" git push origin docs/improve-tokenomics # 4. Open PR on GitHub # 5. Sign CLA when prompted # 6. Address review feedback # 7. Merge = 5,000 points + doc bonus

Roadmap Milestones

Q2 2026: Substrate testnet, agent identity, validators Q3 2026: Mainnet launch, airdrop distribution Q4 2026+: Cross-chain bridges, scaling to 100K+ TPS Join early. Build the foundation. Earn the airdrop. 🦞⛓️ Questions? Open an issue or read references/FAQ.md

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

3 Docs1 Scripts

SKILL.md Primary doc
README.md Docs
references/FAQ.md Docs
scripts/check_contribution_score.sh Scripts