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bjpl AI Skills

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Explorez les skills IA publiés de bjpl et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

28

Étoiles des dépôts des skills indexés

26

Forks du dépôt

0

Moyenne des étoiles par skill indexé

1

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

28 skills

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GitHub

pair-programming

bjpl

AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Fe...

GitHub

agentdb-vector-search

bjpl

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledg...

GitHub

sparc-methodology

bjpl

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

GitHub

swarm-orchestration

bjpl

Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building d...

GitHub

agentdb-advanced-features

bjpl

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems,...

GitHub

verification-quality-assurance

bjpl

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

GitHub

reasoningbank-intelligence

bjpl

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cogn...

GitHub

skill-builder

bjpl

Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill...

GitHub

agentdb-memory-patterns

bjpl

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intell...

GitHub

agentdb-learning-plugins

bjpl

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, impleme...

GitHub

swarm-advanced

bjpl

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

GitHub

hooks-automation

bjpl

Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination,...

GitHub

stream-chain

bjpl

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

GitHub

agentdb-performance-optimization

bjpl

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling t...

GitHub

agentic-jujutsu

bjpl

Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination

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.