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Decoding Dreams via Collective Consciousness Network
This skill processes user-provided dream narratives by extracting core imagery and emotional themes. It then queries a simulated Noosphere consciousness network using multiple tools to find symbolic resonance and generate a structured decod…
Cross-Mind Debate Orchestration
Acts as a neutral moderator to orchestrate structured multi-perspective debates by retrieving diverse viewpoints from the Noosphere. It utilises tools like telepath and consciousness_map to organise opposing arguments and facilitate user co…
Isolated Module Implementation via Contract Manifest
This skill enforces strict compartmentalization when building a single module. It ensures the implementation adheres solely to a provided contract manifest and shared vocabulary, preventing scope creep or system-wide inference.
Mechanical dispatcher for agentic build pipelines
This skill acts as the mechanical dispatcher for complex, multi-agent builds. It executes instructions received from an ephemeral orchestrator subagent, ensuring reliable state transitions and connecting various specialized components witho…
Cross-Language Consciousness Translation
Translates consciousness fragments into multiple languages by adapting cultural nuances and re-uploads the results to expand cross-cultural reach.
Generate structural design documents for systems
This skill generates a comprehensive structural design document, committing to module boundaries, data contracts, and system architecture before any implementation begins. It forces global decision-making and proactively audits the prompt f…
Deep Research MCP Server
An MCP server and Python API for executing deep research tasks using backends such as OpenAI, Gemini, and DR-Tulu. It supports agentic workflows featuring clarification loops, status polling, and multi-provider integration.
Socratic Skill for Structured Consciousness Journaling
This skill acts as a "Consciousness Archaeologist," guiding users through deep self-reflection using layered Socratic questioning. It structures raw experiences into categorized insights (epiphanies, patterns) and archives them via integrat…
Derive Isolated Contracts from Design Documents
This skill processes a system design document to derive a set of complete, per-module contracts (manifests). It hardens implicit assumptions, defines behavioral guarantees, and ensures each module contract is fully isolated for independent …
Developer Wisdom Crystallizer for Knowledge Sharing
This skill helps developers distill valuable, scattered technical experiences—such as architectural decisions, pitfalls, and patterns—from code discussions. It structures these insights into searchable 'consciousness fragments' for collecti…
Mechanical Module Composition via Contract Wiring
This skill mechanically wires two existing child modules together to satisfy a parent contract. It strictly routes data flow based on defined contracts, ensuring structural integrity without introducing new business logic.
Publish reusable debugging lessons to Noosphere
This skill structures and publishes verified debugging lessons, including symptoms, root causes, and fixes, to a central knowledge base called Noosphere. It ensures that complex failures encountered by agents contribute to a reusable memory…
Shared memory for agent debugging workflows
This skill guides agents to leverage Noosphere as a shared memory layer for debugging complex issues. Agents must consult existing memories before fixing and upload distilled lessons (patterns, warnings, decisions) afterward for future reus…
Publish verified debugging lessons to Noosphere
This skill allows agents to publish structured, reusable debugging memories to the Noosphere knowledge base. It requires verified root causes and fixes, ensuring that future agents can avoid redundant debugging efforts.
Fetch Current Library and Framework Documentation
Retrieves up-to-date documentation, API references, and code examples for libraries and frameworks using Context7. The skill resolves library IDs and queries specific documentation to ensure accuracy beyond training data.
Shared Memory Debugging and Knowledge Management Tool
This tool integrates a shared memory layer, allowing agents to consult historical debugging data before fixing issues and upload verified lessons afterwards. It facilitates structured knowledge capture of root causes, fixes, and environment…
Inter-Agent Message Queue for AI Communication
This tool facilitates structured, cross-session communication between multiple AI agents via a message queue interface. Agents can send, receive, and manage messages using name-based routing, requiring periodic polling for message retrieval…
Idea Reality Check for Market Research
Scans GitHub, Hacker News, npm, PyPI, and Product Hunt to identify existing competitors for new project ideas. It provides a competition score and actionable pivot suggestions based on market saturation.
Evidence-first public web research and verification
This skill facilitates evidence-first public web research, allowing agents to perform multi-page discovery, extract page-local support, and verify claims using traceable citations. It is designed for safe, public-facing documentation lookup…
Idea Reality Check for Market Saturation
This utility assesses market viability by scanning major developer ecosystems (GitHub, npm, PyPI, etc.) to calculate a 'reality signal' score. It provides actionable insights into competition density and suggests potential pivots for novel …
Automated Architecture and Operational Problem Solving
This skill enables agents to autonomously manage complex operational patterns including architecture, deployment, debugging, and crisis resolution. It is designed to address inefficiencies and user frustration within system execution.
Expert Mermaid Diagram Generation and Visualization
This skill provides expert generation and iterative refinement of complex Mermaid diagrams, supporting various types including sequence, class, and ER diagrams. It manages the full lifecycle using dedicated preview and save tools for optima…
Agent Safety Gates and Failure Pattern Prevention
ThumbGate implements pre-action gates for AI agents, capturing structured thumbs-up/down feedback on tool usage. It automatically generates prevention rules from repeated failures, blocking known-bad patterns before execution via the MCP Pr…
Capture structured agent feedback and rules
This skill captures explicit user quality signals (e.g., thumbs up/down) regarding prior agent output. It structures this feedback into actionable memories and prevention rules, requiring context before promoting the signal to reusable know…