skogai
Official@skogai · Sweden
A modular framework for engineering autonomous Claude Code plugins, focusing on TDD, systematic debugging, and structured knowledge management for enterprise development.
Agent Skills by skogai
Showing 69 vetted skills indexed across 5 GitHub repositories.
skogaihook-debugger
Diagnose Claude Code hook failures with logging templates and exit code logic.
skogaiskogai-jq
Perform schema-driven JSON transformations using composable jq scripts.
skogaiskogai-gita
Manage multiple git repositories via centralized CLI for bulk status and commands.
skogaiclaude-md-improver
Audit and improve CLAUDE.md files for accurate AI agent project context.
skogaiponytail
Enforce minimalist coding with standard library and YAGNI principles.
skogaiponytail-audit
Audit a codebase to rank dead code and redundant abstractions for removal.
skogaiponytail-help
Provides a reference for the Ponytail framework's modes, commands, and configurations.
skogaiponytail-review
Identify unnecessary complexity and speculative abstractions in codebase diffs.
skogaiponytail-gain
Display an ASCII scoreboard of ponytail framework benchmark medians for code, cost, and speed.
skogaiponytail-debt
Scan source files for ponytail comments and generate a structured debt ledger.
skogaidebug-issue
Trace execution paths in code knowledge graphs to identify root causes.
skogairefactor-safely
Analyze code dependencies and execution flows to assess refactoring impact.
skogaiexplore-codebase
Map codebase relationships between functions, classes, and modules using knowledge graph tools.
skogaireview-changes
Analyze code changes to identify high-risk modifications and map their impact on execution flows.
skogaidomain-modeling
Maintain project glossaries and architectural decision records in Markdown.
skogaiwrap-up
Synchronize task states, commit changes, and archive project knowledge with git.
skogaiskogai-librarian
Orchestrate knowledge management workflows by integrating external data sources into a centralized markdown vault.
skogaiskogai-prompting
Defines prompt-native architectures for autonomous AI agents using outcome-based instructions instead of hard-coded workflows.
skogaigrill-with-docs
Interrogate project plans and architectural designs to identify structural weaknesses.
skogaidesign-doc-and-task-board
Map design documents to task boards and establish unified update order for requirements and status.
skogaiskogai-skills
Discovers and installs skills from a Git-based catalog.
skogaigrill-me
Conduct structured critical interviews to evaluate and refine project plans.
skogaigrilling
Interview users one question at a time to stress-test plans against local files.
skogaicommand-development
Design and implement custom slash commands for Claude Code.
Frequently Asked Questions About skogai
FAQPage SchemaWhat specific tasks can developers perform using these skills?▼
Developers can build modular Claude Code plugins, implement TDD cycles, perform systematic root-cause debugging, and manage project knowledge via markdown-based vaults. The framework supports custom slash command development, MCP server integration, and quantitative benchmarking for custom logic.
Which personas benefit most from this skill registry?▼
Software engineers, technical architects, and plugin developers working within the Claude Code ecosystem benefit most. It is designed for those requiring rigorous testing standards, structured implementation planning, and standardized plugin architectures for complex enterprise environments.
What are the prerequisites for implementing these skills?▼
Implementation requires a local environment configured for Claude Code, familiarity with YAML frontmatter for configuration, and basic proficiency in Git. Users should also have access to standard Unix-like environments for Bash-based validation and testing.