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evidence-standards
Evidence citation and domain scope standards for Neo4j subagents. Prevents hallucination and ensures audit trail.
Skills IA content media llm ai
Découvrez les skills content media llm ai, comparez leurs dépôts et consultez leurs instructions.
Catégories: content media llm ai
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Explorer
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multi-compare
Run the same prompt with Claude, OpenAI, and Gemini in parallel, then return back exact replies you got back without modifying the results one bit.
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perplexity-reason
Multi-step reasoning with Chain-of-Thought. Use for 'why' questions and comparisons.
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neo4j-news
Query news articles from Neo4j with fulltext and vector search. Use when fetching news data or searching news content.
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sg
Metacognitive oversight. "$sg review" for on-demand evaluation, "$sg init" to set up, "$sg audit" to review decisions.
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bottle
Open Horizon Labs orchestration. "$bottle init" for setup, "$bottle dive" to start sessions, "$bottle web-context" for fresh docs.
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autonomous-operations
Autonomous homelab operations using OODA loop (Observe, Orient, Decide, Act) - use when reviewing system state, planning autonomous actions, or investigating operational issues
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tmux-team
Coordinate with other AI agents running in tmux panes. Use this skill when you need to delegate tasks, request reviews, or collaborate with agents like Codex, Gemini, or other Claude instances.
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tmux-team
Communicate with other AI agents in tmux panes. Use when you need to talk to codex, claude, gemini, or other agents.
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skill-creation
SOP for creating new Claude Code skills. Use when adding a new skill to any project or globally.
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cli-generator
Generate AI-friendly Python CLIs using Click, Pydantic, and uv. Use when user wants to create a new CLI tool that follows best practices for agentic coding environments.
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update-claude-md
ユーザと対話してCLAUDE.mdを初期化・更新する
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mlai-points
Manage MLAI points system - check balance, book coworking, claim tasks, redeem rewards
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session-hook
This skill should be used when the user asks to "create a session hook", "add a temporary hook", "create a hook for this session", "set up a hook that activates immediately", "configure a one-time hook", or men...
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codex-mcp
Use this `codex-mcp` skill to instruct another AI Agent to invoke a tool or execute a workflow on your behalf for the following scenario, 1.When you are requested to invoke a mcp tool that you don't have access...
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covenant-patterns
Apply covenant principles as design constraints across all core systems. Use when building agents, prompts, recipes, artifacts, or multi-agent architectures.
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multi-agent-coordination
Patterns for coordinating multiple AI agents. Use when single-agent context limits are exceeded, tasks decompose naturally, or specialized agents improve quality.
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agent-steering
Universal agent configuration patterns for any AI coding environment. Use when configuring steering, specs, or context assembly for Kiro, Claude Code, Codex, Charm, or other agents.
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epistemic-rendering
Transform content through eight cognitive lenses for different kinds of understanding. Use when the same concept needs exploration through story, debate, simulation, uncertainty, fiction, embodiment, ritual, or...
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context-optimization
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.
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multi-agent-patterns
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
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context-degradation
Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.
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context-compression
Design and evaluate context compression strategies for long-running agent sessions. Use when agents exhaust memory, need to summarize conversation history, or when optimizing tokens-per-task rather than tokens-...
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delegation-router
Determines appropriate agent routing based on task type, scale, and agent capabilities
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.