Anduril
Official@andurilcode · Italy
Offers advanced cognitive frameworks and structured reasoning protocols for complex system analysis, software architecture evaluation, and high-stakes decision intelligence.
Agent Skills by Anduril
Showing 72 vetted skills indexed across 3 GitHub repositories.
kaizen
Identify MUDA, MURA, and MURI signals and generate a prioritized improvement backlog.
presentation-craft
Create slide-by-slide presentation scripts with narrative arcs and timing.
professional-orchestrator
Route ambiguous professional requests to the appropriate craftwork skill entry point.
technical-writing
Draft, rewrite, and review decision-ready technical documents for specific audiences.
skill-router
Scan available skills, score relevance, and emit an ordered execution plan.
knowledge-architect
Capture implicit team knowledge into structured, discoverable artifacts.
automate
Convert task descriptions into headless, re-runnable coding-agent CLI scripts.
topic-explainer
Explain topics and concepts with adaptive styles and depth levels.
kintsugi
Analyze git history and code patterns to identify undocumented code repairs.
summarizer
Summarize long documents, articles, and transcripts into structured key points.
limit-thinking
Trace convergence of key variables toward extreme boundaries for scaling decisions.
context-engineering-orchestrator
Route context-engineering requests to the appropriate specialized workflow.
analogical-thinking
Identify and transfer solution patterns from analogous domains to design problems.
theory-of-constraints
Identify a system's throughput constraint using WIP, queue, and idle signals.
game-theoretic-analysis
Model players, strategies, payoffs, and timing to diagnose Nash versus Pareto equilibria.
fermi-estimation
Decompose unknown quantities into estimable factors and compute bounded ranges.
debugging-methodology
Diagnose unexplained software failures through an evidence-first root-cause workflow.
systems-thinking
Diagnose poor system performance by mapping stocks, flows, feedback loops, and delays.
facilitation-design
Design structured facilitation plans with timed diverge-cluster-converge agendas and decision protocols.
business-logic-extractor
Extract business logic and domain models into an llms.txt-style Markdown reference.
process-design
Map current workflows, diagnose waste, and design future-state processes with SLAs.
lateral-thinking
Generate alternative solution directions using structured lateral thinking techniques.
bisociative-creativity
Generate original ideas by colliding two distant frames around a seed domain.
probabilistic-thinking
Convert vague claims into Bayesian probability estimates with base rates and expected values.
Frequently Asked Questions About Anduril
FAQPage SchemaWhat specific tasks can I perform using these reasoning frameworks?▼
You can execute complex tasks including root-cause diagnostics, financial unit economics modeling, stakeholder power mapping, and structured architecture evaluations. These frameworks enable rigorous evidence synthesis and probabilistic decision-making for enterprise-level problem solving.
Who is the target persona for these cognitive and technical modules?▼
These modules are designed for systems architects, technical leads, and enterprise strategists who require structured methodologies for navigating ambiguity, evaluating system performance, and managing complex multi-repo engineering environments.
What are the prerequisites for implementing these reasoning protocols?▼
Implementation requires a foundational understanding of the specific framework being applied, such as Cynefin, Theory of Constraints, or Bayesian probability. Users should have access to their codebase or project documentation to provide the necessary context for the reasoning modules to function effectively.