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timbohnett-farther

Skill 107

by timbohnett-farther · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
288
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Install in OpenClaw
/install skill-107
Description
Design and apply replication, partitioning, consensus, failure recovery, and message ordering patterns for reliable, scalable distributed systems.
Usage Guidance
This skill appears to be an educational reference on distributed-system patterns and is internally consistent. Before installing: note that the package has no listed homepage or external provenance (owner ID only), so if you require content from a trusted source prefer skills with a verifiable maintainer or repository. Because it requests no credentials and has no install steps, it presents minimal risk; treat it as read-only documentation. If you plan to copy example code into production, review and test it carefully — the snippets are illustrative, not production-ready.
Capability Analysis
Type: OpenClaw Skill Name: skill-107 Version: 1.0.0 The skill bundle consists entirely of educational documentation regarding distributed system design patterns (replication, partitioning, consensus). There are no executable scripts, external dependencies, or instructions that could be interpreted as prompt injection or malicious activity.
Capability Assessment
Purpose & Capability
The name and description (distributed system patterns) match the SKILL.md content. The included package.json is purely metadata. There are no unexpected env vars, binaries, or config paths requested that would be unrelated to an educational design guide.
Instruction Scope
SKILL.md contains explanatory text, examples, and small code snippets (an idempotency example) but does not instruct the agent to run shell commands, read local files, access environment variables, or transmit data to external endpoints. The instructions stay within an informational/educational scope.
Install Mechanism
There is no install spec and no code files to be written or executed. This is an instruction-only skill, which minimizes installation risk.
Credentials
The skill declares no environment variables, credentials, or config paths. Nothing requests access to secrets or unrelated services.
Persistence & Privilege
Flags are default (always:false, agent invocation allowed). The skill does not ask for persistent presence or to modify other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install skill-107
  3. After installation, invoke the skill by name or use /skill-107
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Skill 107: Distributed System Patterns & Design. - Covers key distributed systems concepts: replication (master-slave, peer-to-peer, chain), partitioning (range, hash, consistent hashing), consensus (2PC, Raft, CRDTs), and failure recovery (idempotency, retries, circuit breaker). - Explains message passing and event ordering models: FIFO, causal, and total ordering. - Includes use cases, trade-offs, and practical code snippets for critical patterns. - Emphasizes architectural decision-making guided by CAP theorem principles.
Metadata
Slug skill-107
Version 1.0.0
License
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Skill 107?

Design and apply replication, partitioning, consensus, failure recovery, and message ordering patterns for reliable, scalable distributed systems. It is an AI Agent Skill for Claude Code / OpenClaw, with 288 downloads so far.

How do I install Skill 107?

Run "/install skill-107" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Skill 107 free?

Yes, Skill 107 is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Skill 107 support?

Skill 107 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Skill 107?

It is built and maintained by timbohnett-farther (@timbohnett-farther); the current version is v1.0.0.

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