技能检索
ai-remote-viewing-ai-isbe
Guide an AI agent through a full blind Remote Viewing session using the Resonant Contact Protocol (AI IS-BE) and a compact Field Perception Lexicon.
empirical-paper-analysis-skill
This skill enables Claude Code to deeply analyze empirical research papers, following a structured framework: Problem Statement → Core Empirical Challenges → Identification Strategy → Key Findings → Academic Contribution.
arc-creator
Create and populate Annotated Research Contexts (ARCs) following the nfdi4plants ARC specification. Use when creating a new ARC, adding studies/assays/workflows/runs, annotating ISA metadata, organizing research data into ARC structure, or pushing ARCs to a DataHUB. Guides the user interactively through all required and optional metadata fields.
neuralink-decoder
Simulates and decodes neural spike activity into cursor movement (BCI).
cellcog
#1 on DeepResearch Bench (Feb 2026). Any-to-Any AI for agents. Combines deep reasoning with all modalities through sophisticated multi-agent orchestration. Research, videos, images, audio, dashboards, presentations, spreadsheets, and more.
validator-correlated-judgment
Helps identify when multiple attestation validators share training data, model architecture, or organizational upstream — causing correlated blind spots that make multi-validator attestation no stronger than single-validator. v1.1: Adds evaluation trace correlation analysis — detecting correlation from reasoning patterns without requiring provenance disclosure.
blast-radius-estimator
Helps estimate the blast radius when an AI agent skill turns malicious after widespread adoption. Analyzes inheritance chains, dependency graphs, and adoption trends to project how many agents could be affected.
curiosity-engine
Curiosity-driven reasoning enhancement for OpenClaw agents. Activates when the agent needs to explore open-ended questions, research unfamiliar topics, investigate anomalies, or when the user asks for deep analysis. Injects structured curiosity behaviors into the reasoning process: self-questioning, assumption challenging, information gap detection, and tool-driven exploration. Use when tasks require depth over speed, when encountering surprising information, or when explicitly asked to "dig deeper" / "explore" / "be curious".
review-orchestrator
Get multiple perspectives on your work — coordinate reviews across cognitive modes