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Skills IA Bases de données

Découvrez les skills Bases de données, comparez leurs dépôts et consultez leurs instructions.

Catégories: Bases de données

12,457–12,480 sur 85,283

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Explorer

GitHub

reflect

Qredence

Analyze the current session and consolidate learnings. Use at the end of a session or task.

GitHub

recall

Qredence

Semantic search for memory. Use to find solutions, patterns, or context from Chroma Cloud.

GitHub

fleet-agent

Qredence

Context-aware development assistant for AgenticFleet with auto-learning and dual memory (NeonDB + ChromaDB). Handles development workflows with intelligent context management.

GitHub

changelog-generator

Qredence

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...

GitHub

python-backend-reviewer

Qredence

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...

GitHub

dspy-agent-framework-integration

Qredence

Comprehensive guide to integrating DSPy with Microsoft Agent Framework in AgenticFleet, covering typed signatures, assertions, routing cache, GEPA optimization, and agent handoffs.

GitHub

knownsinit

knowns-dev

Use at the start of a new session to read project docs, understand context, and see current state

GitHub

knownsresearch

knowns-dev

Use when you need to understand existing code, find patterns, or explore the codebase before implementation

GitHub

knownscommit

knowns-dev

Use when committing code changes with proper conventional commit format and verification

GitHub

knownsdoc

knowns-dev

Use when working with Knowns documentation - viewing, searching, creating, or updating docs

GitHub

knownstask

knowns-dev

Use when working on a Knowns task - take ownership, research, plan, implement, complete with proper tracking

GitHub

youtube-research-video-topic

kenneth-liao

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...

GitHub

youtube-title

kenneth-liao

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...

GitHub

youtube-thumbnail

kenneth-liao

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...

GitHub

youtube-video-hook

kenneth-liao

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...

GitHub

business-competitor-analysis

kenneth-liao

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...

GitHub

youtube-plan-new-video

kenneth-liao

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...

GitHub

wp-performance-review

elvismdev

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...

GitHub

fixing-flaky-tests

rileyhilliard

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.

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.

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