Browse published AI skills maintained by fractary. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
141Repository stars across indexed skills
564Repository forks
0Average repository stars per indexed skill
4Repository stars may repeat across skills from the same repository.
Analyze infrastructure deployment errors - categorize error types (permission/ config/resource/state), search issue log for historical solutions, rank solutions by success rate and context match, propose automa...
Common utilities for work plugin operations
Deploy database migrations safely across environments
Migrates codex configuration files from v2.0 push-based sync to v3.0 pull-based retrieval format with automatic backups
Handles FABER workflow feedback requests - posting to issues and tracking responses
Extracts patterns, errors, and insights from operational logs using type-specific analysis templates
Generate semantic branch names from work item metadata following conventions
Searches logs by content keywords, patterns, and filters with context extraction
Classify work type from issue metadata (CLI not yet available)
Critically reviews specifications, generates clarifying questions and improvement suggestions, and applies refinements based on user feedback
Manage FABER workflow state (CRUD operations)
Analyzes the codex cache and generates comprehensive statistics about cache performance, storage usage, and health status. Delegates to fractary CLI for cache analysis operations.
Archives completed logs to cloud storage with index management and cleanup
[DEPRECATED] Jira Cloud handler - Use Fractary CLI instead
Shared utilities for invoking Fractary CLI from work plugin skills
List cache entries with filtering, sorting, and freshness status. Delegates to fractary CLI for actual cache operations.
GitHub source control handler centralizing Git CLI and GitHub API operations with protected branch safety
Audit infrastructure status, health, and compliance without modifications - provides observability and drift detection
Aggregates context optimization opportunities and calculates total potential savings from architectural improvements
Validates documentation against type-specific rules and schemas loaded dynamically, checking frontmatter, structure, content, and schema compliance
Detects inline logic anti-pattern in prompts and identifies opportunities to extract deterministic operations to scripts
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.