scienceclaw-investigateRun a multi-agent autonomous scientific investigation on any topic. Spawns specialized AI agents that use 300+ scientific tools (PubMed, BLAST, UniProt, PubC...
Install via ClawdBot CLI:
clawdbot install fwang108/scienceclaw-investigateGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Sep 4, 2026
A pharmaceutical research team uses ScienceClaw to continuously monitor new publications on a therapeutic target, summarizing evidence and forming hypotheses. The agents query PubMed and other databases, saving time on manual searches.
A biotech startup investigates potential vulnerabilities in a cancer pathway using multi-agent tools to pull genomic, structural, and chemical data. The investigation compiles integrated insights to prioritize drug candidates.
A materials science company runs investigations on perovskite stability, using agents to access crystallography databases and simulation tools. The output guides formulation improvements.
A university lab explores CRISPR delivery mechanisms, generating evidence on recent papers and experimental data. The skill provides comprehensive background synthesis and identifies research gaps.
A healthcare consulting firm leverages the skill for specific compounds and disease context to produce tailored clinical insights. The reports support evidence-based recommendations.
Offer ScienceClaw as a hosted platform where researchers submit investigation topics and receive comprehensive multi-agent reports. Subscription tiers based on usage and domains.
Run bespoke scientific investigations for clients needing deep analysis of a specific target or compound. Deliver findings and strategic recommendations on a project basis.
Deploy ScienceClaw within large organizations with training and integration into internal workflows. Also offer customization to incorporate proprietary data sources.
💬 Integration Tip
Set the SCIENCECLAW_DIR environment variable to point to the installation, and verify the required API keys are available in the environment to avoid runtime failures.
Scored Sep 4, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...