linkerdog
Official@linkerdog
Offers specialized maintenance and documentation governance for the RARA codebase, focusing on Rust regression testing, context compression, and technical specification integrity.
Agent Skills by linkerdog
Showing 7 vetted skills indexed across 1 GitHub repositories.
rara-codebase
Generate a subsystem-aligned repository map with file-by-file reading paths.
add_tests
Add or update Rust regression tests for the RARA codebase.
rara-docs-journal
Enforce consistent structure and validation evidence in RARA implementation journal entries.
context-cache-management
Manage RARA context compression while preserving prompt prefixes and tool evidence.
rara-docs-spec
Maintain stable RARA feature specifications under docs/features/ with validation matrices.
support-acp
Document ACP integration with RARA over stdio using JSON-RPC framing.
project-github-titles
Standardize GitHub commit and PR titles for the rara repository.
Frequently Asked Questions About linkerdog
FAQPage SchemaWhat specific tasks does Linkerdog enable for developers?▼
Linkerdog enables developers to maintain the RARA codebase through automated repository mapping, standardized commit titling, and the generation of validation matrices for feature specifications. It also facilitates the management of context compression and the documentation of stdio-based JSON-RPC framing for ACP integration.
Which technical personas benefit from these capabilities?▼
These capabilities are designed for software engineers and technical writers working directly within the RARA ecosystem. It is particularly useful for maintainers focused on Rust regression testing, documentation governance, and ensuring consistent repository structure across complex subsystem implementations.
What are the prerequisites for implementing these repository management skills?▼
Implementation requires an existing RARA codebase environment. Users must ensure their repository structure aligns with the expected docs/features/ directory hierarchy to utilize the specification maintenance and validation matrix features effectively.