Plugin Architecture & Registration Patterns
Architectural guide for designing extensible plugin systems for a document intelligence framework: defining plugin types, registration, and priority rules.
Evidence: MIT license, SECURITY.md with detailed threat model and mitigations, and vulnerability reporting process. The skill does not ask for permissions or perform external actions. But publisher unverified, skill does not mention user confirmation or data-flow transparency; many dependencies with network features, though security doc states no network requests. Deductions: no explicit least-privilege or confirmation, insufficient dependency-security and external-effects detail; no red-line risk found but no explicit safety guarantees.
Evidence: Cargo.toml and README show a large project with many features, robust build config, and test files (e2e/node/tests) indicating some test coverage. But the skill only provides code snippets and docs, no independent verification or execution evidence; no tests for the skill's key paths found. Deductions: static review cannot confirm actual behavior, error handling and failure feedback insufficiently detailed.
Evidence: Skill focuses on plugin architecture, clearly describes plugin types, priority system, and registration; target audience is Rust developers, relevant to the document-intelligence framework. But skill declares 'critical' priority, potentially over-triggering; no explicit non-fit boundaries (e.g., non-Rust environments) or trigger conditions. No mention of Chinese-language support or mainland-China reachability. Deductions: limited evidence for boundaries and trigger conditions.
Evidence: README provides detailed installation, usage, and capability lists; LICENSE is MIT; Cargo.toml has version (1.1.0) and author info. The skill file itself has no version or changelog, but repo has SECURITY.md and CONTRIBUTING.md. Deductions: skill lacks its own version, changelog, and known limitations; maintenance responsibility not explicit in the skill.
Evidence: Skill provides clear goal (implement plugin architecture) and example code that appears likely to complete the core task. But no actual run output or comparative benchmarks; value claim ('critical') unverified. Deductions: static review cannot verify direct usability, and cost/benefit vs alternatives not clear.
Evidence: Repo has CI workflows (benchmarks.yaml, ci-docker.yaml) and test files (e2e/node/tests), and benchmark harness, providing some verifiable signals. But the skill itself has no tests, and key claims (e.g., plugin system functionality) are not reproduced in this file. Deductions: static-only review, no executed tests or cross-validation.
- The skill is shallow, providing only code snippets and patterns without full documentation and verification; actual usage relies on other repository files.
- Many dependencies, some features require network (e.g., URL fetching, online LLMs); ensure your environment allows network access and be aware of security boundaries.
- No Chinese documentation or explicit support; some features depend on overseas services, mainland-China users may need extra configuration or experience access issues.
- Publisher is unverified; recommend independent review and testing in critical environments.
What does this skill do, and when should you use it?
This skill provides an architectural guide for designing a plugin system for a Rust-based document intelligence framework like Xberg. It defines four core plugin types: Document Extractor, OCR Backend, Post Processor, and Validator, each with a specified trait and location. Key elements include a priority system to select the best extractor for each MIME type, a registry for plugin registration, feature-gated conditional registration, and mandatory Send + Sync requirements for all plugins. The document emphasizes consistency through rules like using async traits and kebab-case naming. It targets developers who want to extend or build similar document processing systems, offering concrete implementation patterns and registration flow.
Provides detailed plugin architecture instructions, including plugin type definitions, trait implementation examples (e.g., DocumentExtractor), priority assignment (0-100 range with default 50), registration into a global registry (get_document_extractor_registry), feature-gating with #[cfg(feature = "...")], and PostProcessor stage management (Early/Middle/Late). It also lists critical rules such as plugins must be Send + Sync, use of #[async_trait], and initialization via ensure_initialized().
- A Rust developer needing to add a custom format extractor to a document processing tool can follow the DocumentExtractor implementation example.
- A maintainer of a document processing library wants to design a plugin system and learns how to define different plugin types and their traits.
- An engineer requiring third-party developers to extend their software can adopt the registry and priority-based plugin mechanism.
- A team working on a large Rust project wants to standardize plugin concurrency and initialization behavior by following Send + Sync and ensure_initialized rules.
- When adding optional format support (e.g., DOCX) to a document processing app, developers can use feature-gated registration as shown.
What are this skill's strengths and limitations?
- Clear plugin type classification and priority system facilitate choosing the best implementation.
- Provides complete code examples for trait implementation and registration flow.
- Enforces critical rules like Send + Sync and feature gating, ensuring safety and performance.
- PostProcessor stages allow phased processing with fault isolation, improving overall stability.
- Primarily focused on Rust, offering limited help to developers using other languages.
- No test suite or verification examples provided, making it hard to confirm correctness.
- No guidance on hot-loading or dynamic plugin discovery; only compile-time registration is shown.
- Does not detail conflict resolution when multiple plugins declare the same MIME type, requiring additional design.
How do you install this skill?
This skill is part of the xberg-io/xberg repository at .ai-rulez/skills/plugin-architecture-patterns/SKILL.md, within a monorepo bundling 47 skills. To install, clone or download the entire repository and copy the .ai-rulez/skills/plugin-architecture-patterns/ folder to your agent's skills directory (e.g., ~/.claude/skills/ or under the project .ai-rulez/skills/). Specific installation steps are not detailed, but typically just placing the SKILL.md file in the appropriate location is sufficient.
How do you use this skill?
In an Agent Skills environment, you can directly reference the skill. For example, in Claude Code, prompt with 'Use the plugin architecture patterns skill to design an extensible plugin system.' The document offers code examples that can be copied into your Rust project, but ensure your project has dependencies like async-trait. For broader context, refer to the repository README for the overall Xberg structure, but avoid attributing other skills' capabilities to this one.