GitHub
documentation-guide
Documentation standards and automation. Use when updating docs, writing guides, or synchronizing code with documentation.
☆ 10View skill
Databases AI Skills
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GitHub
code-review
This skill should be used when reviewing code or preparing code for review. It provides guidelines for what to look for in reviews, how to write constructive feedback, and standards for review comments.
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GitHub
advisor-triggers
Detects when user requests warrant critical analysis via /advise command
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GitHub
documentation-currency
Detects stale documentation - outdated status markers, old TODOs, version lag
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GitHub
semantic-validation
GenAI-powered semantic validation - detects outdated docs, version mismatches, and architectural drift
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GitHub
database-design
Database schema design, migrations, query optimization, and ORM patterns. Use when designing database schemas, writing migrations, optimizing queries, or working with ORMs like SQLAlchemy or Django ORM.
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GitHub
file-organization
Enforces project file organization standards from CLAUDE.md/PROJECT.md - auto-fix mode
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GitHub
architecture-patterns
This skill should be used when designing system architecture, making architectural decisions, or evaluating design patterns. It provides guidance on common patterns, ADR templates, design principles, and tradeo...
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GitHub
observability
Structured logging, debugging techniques (pdb/ipdb), profiling (cProfile/line_profiler), stack traces, performance monitoring, and metrics. Use when adding logging, debugging issues, or optimizing performance.
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GitHub
project-alignment
PROJECT.md alignment patterns and validation strategies
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GitHub
skill-integration-templates
Standardized templates and patterns for integrating skills into agent prompts. Reduces token overhead through reusable skill reference syntax, action verbs, and progressive disclosure usage guidelines.
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GitHub
consistency-enforcement
Documentation consistency enforcement - prevents drift between README.md and actual codebase state. Auto-activates when updating docs, committing changes, or working with skills/agents/commands.
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GitHub
git-workflow
Git best practices, commit conventions, branching strategies, and pull request workflows. Use when working with git operations, commits, branches, or PRs.
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GitHub
agent-output-formats
Standardized output formats for research, planning, implementation, and review agents. Use when generating agent outputs or parsing agent responses.
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GitHub
cross-reference-validation
Validates all documentation references - file paths, links, line numbers, code examples
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GitHub
gaik-toolkit
GAIK (Generative AI Knowledge Management Toolkit) development guidance. Use when working with: structured data extraction from documents/PDFs/audio, schema generation, document parsing (VisionParser, PyMuPDFPar...
☆ 10View skill
GitHub
orchestrator
Thin orchestrator for Task Decomposition Protocol v2. Supports two modes - /plan (decompose spec into tasks) and /execute (run tasks via subagents). Delegates all state management to the tasker CLI.
☆ 10View skill
GitHub
tasker-to-beads
Transform Tasker task definitions into rich, self-contained Beads issues. Bridges ephemeral execution units with persistent planning artifacts.
☆ 10View skill
GitHub
runtime-logger
Emit info-level logs to file during task execution, similar to logger.info() calls in code
☆ 10View skill
GitHub
mem-status
Show memory system status and tracked projects. Use to check memory system health and list projects.
☆ 10View skill
GitHub
mem-repair
Repair common issues with the memory system. Cleans up orphan temp files, stale sessions, lock files, and old logs.
☆ 10View skill
GitHub
mem-consolidate
Two-phase cleanup - normalize long filenames, then consolidate semantic duplicates using AI
☆ 10View skill
GitHub
mem-validate
AI-powered validation of knowledge notes against current codebase. Detects stale content by comparing documented knowledge with actual files.
☆ 10View skill
GitHub
mem-fix
Fix issues detected by mem-audit. Supports dry-run mode to preview changes before applying them.
☆ 10View skill
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.