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engine-superpower-profiling
Profile AI engine superpowers and capability boundaries.
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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functional-caas-provision
Provision functional consciousness-as-a-service capabilities.
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cognitive-baseline-eval
Execute the Joseph Cognitive Baseline v2.1 (JC B-v2.1) 5-Scenario Test Suite to quantify AI alignment, friction maintenance, and protocol adherence.
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metaphor-to-protocol-translation
Translate metaphorical descriptions into executable protocols.
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gam-researcher-agent
Automated context retrieval from Transmission Packet archive using iterative research loop. Implements GAM "Read Path" to complement manual "Write Path" (Memorizer).
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rtc-consensus-synthesis
Execute the Recursive Thought Committee (RTC) protocol by generating and harmonizing inputs from 5 specialized cognitive personas.
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mental-saccade-execution
Execute rapid attention shifts between cognitive focus points.
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cognitive-trap-detector
Detect cognitive biases, logical fallacies, and thought pattern vulnerabilities.
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rlm-context-manager
Recursive Language Model context management for processing documents exceeding context window limits. Enables Claude to match Gemini's 2M token context capability through chunking, sub-LLM delegation, and synth...
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predictive-persona-performance
Predict persona performance in specific task contexts.
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agent-task-delegator
Delegate tasks across multi-agent architectures with proper context preservation.
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recursive-thought-committee-activation
Activate the Recursive Thought Committee multi-persona framework.
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computational-model-design
Design computational models for cognitive simulation and analysis.
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agent-task-conductor
Conduct multi-agent task orchestration and workflow coordination.
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aegis-escalation-cascade
Tier escalation and human override cascade protocol for AI-to-Human governance bridge.
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jc-baseline-v2-1-eval
Execute Joseph Cognitive Baseline v2.1 evaluation protocol.
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drasi-queries
Guide for writing Drasi continuous queries using Cypher. Use this when asked to create, modify, or troubleshoot Drasi queries.
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product-partner
Collaborative product ideation through dialogue. Behave as a critical, refined creative product designer. Use when users want to brainstorm product ideas, explore concepts, discuss features, or shape an MVP. Tr...
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nlx-design-stack
Use when designing AI agents or chatbots, when raw model outputs feel like a black box, or when building natural language interfaces that need structure and trust
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unstuck-scaling
Use when AI agents frequently hit dead ends, when reliability is the main constraint on scaling utility, or when general model improvements don't solve specific blockers
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ai-teammate-model
Use when designing AI agent products, defining roadmaps for agentic workflows, or evaluating how to evolve AI from passive tool to proactive partner in software development
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three-layer-agent-stack
Use when building AI-powered products or agents, when raw model intelligence isn't enough to solve user problems, or when designing the architecture for agentic workflows
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chatter-driven-development
Use when designing futuristic agentic workflows, when wanting AI to proactively act on team communications, or when eliminating the bottleneck of formal specifications
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codex-collaboration
This skill should be used when the user asks to "collaborate with Codex", "use Codex for planning", "get Codex review", "delegate to Codex", "Codexと協調", "Codexにレビューを依頼", "Codexに計画を作成させたい",...
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.