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agentica-spawn
Spawn Agentica multi-agent patterns
Skills IA Développement
Découvrez les skills Développement, comparez leurs dépôts et consultez leurs instructions.
Catégories: Développement
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Explorer
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code-fixer
Skill especializada para diagnosticar y reparar errores en el motor AGCCE v4.0. Integra análisis de telemetría (logs/telemetry.jsonl), estado del Blackboard, y recuperación de agentes (Graceful Recovery).
GitHub
error-recovery
Handle errors, timeouts, and failures in multi-agent workflows. Use when dealing with external model timeouts, API failures, partial success, user cancellation, or graceful degradation. Trigger keywords - "erro...
GitHub
spec-task-management
This skill should be used when the user asks to "analyze a specification", "break down a spec", "create tasks from a PRD", "decompose requirements", "generate a task list from a design document", or mentions wo...
GitHub
codex-agent
Run Codex tasks via the ai_cli Task Tool runner.
GitHub
dspy-optimization-workflow-for-skills-fleet
Use when optimizing DSPy programs in skills-fleet, implementing quality improvements, using optimization API endpoints, or troubleshooting DSPy issues. Complete 3-phase implementation guide (signatures → traini...
GitHub
llm-ops-engineer
Specialist in deploying, fine-tuning, and monitoring Large Language Models (LLMs). Expert in RAG pipelines, vector databases, prompt engineering, and maintaining robust AI infrastructure.
GitHub
agents-md-guidelines
Guidelines for writing small, stable AGENTS.md files. Use when creating, refactoring, or reviewing AGENTS.md.
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agentica-prompts
Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
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claudeception-setup
How to set up Claudeception continuous learning in a project. Use when: (1) User asks to install or set up Claudeception (2) User wants automatic skill extraction (3) "embedded git repository" warning when addi...
GitHub
session-start-routine
Execute work session initialization routine at conversation start. Identifies new skills, researches improvements for existing skills, and updates skill library. Triggers automatically at session start.
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loogle-search
Search Lean 4 mathlib using Loogle API
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voice-command-intelligence
Design and optimize voice commands, handle speech recognition, execute smart actions with context awareness
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prompt-engineering-specialist
Expert in crafting, optimizing, and evaluating effective prompts for Large Language Models. Specializes in advanced prompting techniques (CoT, ReAct, Few-Shot) to maximize model performance and reliability.
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xml-standards
XML tag structure patterns for Claude Code agents and commands. Use when designing or implementing agents to ensure proper XML structure following Anthropic best practices.
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agent-orchestration
Agent Orchestration Rules
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interview
Gather structured user input via web form. Use when you need multiple clarifying questions answered, collecting design mockups/images, or getting user decisions on implementation choices. Better than sequential...
GitHub
cm
CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture transforms scattered sessions into persistent, cross-agent learnings with confidence decay, anti-pattern learning,...
GitHub
background-agent-pings
Background Agent Pings
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agentica-infrastructure
Reference guide for Agentica multi-agent infrastructure APIs
GitHub
discovery-interview
Deep interview process to transform vague ideas into detailed specs. Works for technical and non-technical users.
GitHub
math-router
Deterministic router for math cognitive stack - maps user intent to exact CLI commands
GitHub
claude-code-memory
Maintain Claude Code memory hygiene by auditing, organizing, updating, and optimizing memory files in `.claude/memory/`. Use when users request memory cleanup, organization, updates, or want to reduce context p...
GitHub
prompt-refiner-claude
Refine prompts for Claude models (Opus, Sonnet, Haiku) using Anthropic's best practices. Use when preparing complex tasks for Claude.
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.