GitHub
rtc-consensus-synthesis
Execute the Recursive Thought Committee (RTC) protocol by generating and harmonizing inputs from 5 specialized cognitive personas.
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documentation llm ai AI Skills
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mental-saccade-execution
Execute rapid attention shifts between cognitive focus points.
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GitHub
cognitive-trap-detector
Detect cognitive biases, logical fallacies, and thought pattern vulnerabilities.
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GitHub
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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GitHub
predictive-persona-performance
Predict persona performance in specific task contexts.
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GitHub
agent-task-delegator
Delegate tasks across multi-agent architectures with proper context preservation.
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GitHub
recursive-thought-committee-activation
Activate the Recursive Thought Committee multi-persona framework.
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GitHub
computational-model-design
Design computational models for cognitive simulation and analysis.
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GitHub
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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GitHub
jc-baseline-v2-1-eval
Execute Joseph Cognitive Baseline v2.1 evaluation protocol.
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GitHub
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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GitHub
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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GitHub
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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GitHub
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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GitHub
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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GitHub
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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GitHub
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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GitHub
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",...
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GitHub
opence-compound
Document learnings, capture repeatable workflows as skills, and prepare to compound an opence change.
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GitHub
prompt-sync-workflow
Coordinate prompt and skill updates across related changes
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GitHub
create-plan
Create a concise plan. Use when a user explicitly asks for a plan related to a coding task.
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GitHub
retrace
This skill should be used when the user asks to "find past conversations", "recall what was done", "search history", "look up previous work", "how did we handle X", "what was that implementation", "find similar...
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GitHub
web-research
Web search with automatic Qdrant storage for building persistent knowledge
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