fleet-agent
Context-aware development assistant for AgenticFleet with auto-learning and dual memory (NeonDB + ChromaDB). Handles development workflows with intelligent context management.
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Context-aware development assistant for AgenticFleet with auto-learning and dual memory (NeonDB + ChromaDB). Handles development workflows with intelligent context management.
Initialize or hydrate the agent's memory system and verify configuration.
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of ma...
Expert Python backend code reviewer that identifies over-complexity, duplicates, bad optimizations, and violations of best practices. Use when asked to review Python code quality, check for duplicate code, anal...
Comprehensive guide to integrating DSPy with Microsoft Agent Framework in AgenticFleet, covering typed signatures, assertions, routing cache, GEPA optimization, and agent handoffs.
Use at the start of a new session to read project docs, understand context, and see current state
Use when extracting reusable patterns, solutions, or knowledge from completed tasks into documentation
Use when requirements are unclear, multiple approaches exist, or you need to explore solutions before planning
Use when you need to understand existing code, find patterns, or explore the codebase before implementation
Use when committing code changes with proper conventional commit format and verification
Use when working with Knowns documentation - viewing, searching, creating, or updating docs
Use when reopening a completed task to add new requirements, fix issues, or extend functionality
Use when working on a Knowns task - take ownership, research, plan, implement, complete with proper tracking
Conduct pure research for YouTube video topics by analyzing competitors, identifying content gaps, and documenting strategic insights. Use when you need to research a video topic before planning. Produces conci...
Generate optimized YouTube video titles that maximize click-through rates by sparking curiosity and complementing thumbnails. This skill should be used when the user asks to create, improve, or brainstorm YouTu...
Skill for creating and editing Youtube thumbnails that are optimized for click-through rate. This skill should not be used directly, instead use the Thumbnail Designer subagent who can also invoke this skill. U...
Skill for creating optimized YouTube video opening hooks (first 5-30 seconds) that maximize viewer retention and watch time. Use when planning video scripts, reviewing video openings, or optimizing existing con...
Perform comprehensive competitor analysis for any business. Produces an executive-summary markdown report with target customer profile, market positioning, pricing/business model, product features, funding/comp...
Generate a complete video plan with optimized title, thumbnail, and hook concepts based on research. Orchestrates specialized skills (youtube-title, youtube-thumbnail, youtube-video-hook) to create production-r...
WordPress performance code review and optimization analysis. Use when reviewing WordPress PHP code for performance issues, auditing themes/plugins for scalability, optimizing WP_Query, analyzing caching strateg...
Diagnose and fix tests that pass in isolation but fail when run concurrently. Covers shared state isolation and resource conflicts. References condition-based-waiting for timing issues.
This skill should be used when the user asks to "add a background job", "process async", "schedule a task", "retry failed jobs", "add email sending", "run this later", "add a cron job", "unique jobs", "batch pr...
This skill should be used when the user works on any .ex or .exs file, mentions Elixir/Phoenix/Ecto/OTP, the project has a mix.exs, or asks "which skill should I use", "new to Elixir", "help with Elixir". Route...
This skill should be used when the user asks to "implement a feature in Elixir", "refactor this module", "should I use a GenServer here?", "how should I structure this?", "use the pipe operator", "add error han...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.