Two-layer memory architecture for board meeting decisions.
Structure a choice between concrete options: elicit the real criteria and their weights, score each option honestly, run a sensitivity…
Capture context, drivers, options, decision, consequences and revisit triggers in a durable engineering decision record.
Decision tree analysis skill with expected value, risk analysis, and utility theory.
Generate modern presentation decks (PDF) from markdown content.
For declarations of intent — elements of the offense are found in paragraphs 116 et seq.
DECODE 2025-2026 FTC game reference. Use when programming autonomous routines, calculating scores, understanding field layout, or working…
X/Twitter via xurl CLI: post, search, DM, media, v2 API.
Document coding decisions, patterns, and language features as you write code in real-time.
Create all AWS resources for AI automation agents — DynamoDB tables, SQS queue, S3 bucket, SNS topic, IAM role, Lambda functions, and API…
Guides architectural decisions for Deep Agents applications.
Inspect and explain conversations in the local Deep Agents Code SQLite session store.
Deep analysis and investigation
Deep consistency audit of the entire repository — launches 4 parallel specialist agents to find factual errors, code bugs, broken…
Extended vault cleanup: full audit PLUS stale content scan, outdated references, content quality review, redundant tags, broken external…
Use for on-demand deep exploration of an existing codebase - analyzes architecture, data flow, domain model, API surface, dependencies…
Generates comprehensive, multi-part equity research article series using rigorous value-investing frameworks and strict fact-checking…
2-stage pipeline: trace (causal investigation) -> deep-interview (requirements crystallization) with 3-point injection
Deep executor mode for complex goal-oriented tasks
Deep codebase initialization with hierarchical AGENTS.md documentation
Socratic deep interview with mathematical ambiguity gating before explicit execution approval