Results for “structure”

Performance-coaching mode for repeated failures, passive behavior, completion-quality issues, or explicit try-harder requests. Uses structured troubleshooting and evidence-first delivery habits.

Analyze a problem, plan the fix, execute with verification. Use when tackling a non-trivial bug, feature, or refactor that needs structured approach.

Intelligently organize files across your computer by understanding context, detecting duplicates, suggesting folder structures, and automating cleanup. Maintain a clean digital workspace without manual effort.

This skill should be used when the user asks to "validate a plugin", "optimize plugin", "check plugin quality", "review plugin structure", or "run plugin optimizer".

Explore-phase writing — mines raw fragments without committing to structure. Use when the user wants to brainstorm material or gather fragments for a later article.

Provides a structured debugging workflow for errors, test failures, and unexpected behavior, including root cause analysis and verification steps.

Structured policy briefing note (1-2 pages). Issue, background, analysis, options, recommendation. UK GES, Australian Treasury, consulting formats. Auto-populates from econstack data skills.

Drafts a state-compliant Last Will and Testament covering declarations, revocation of prior instruments, specific bequests, residuary disposition, guardian nominations, fiduciary appointments, and execution formalities. Conducts structured intake on family structure, asset inventory, fiduciary nominees, and existing estate plan documents. Coordinates with trusts, beneficiary designations, and non-probate transfers. Use when drafting wills, testamentary documents, pour-over wills, codicils, or estate planning instruments involving testamentary dispositions.

Creates structured specifications before writing code to clarify requirements, surface assumptions, and define success criteria, reducing rework and miscommunication.

Design and sharpen offers to improve conversion rates by diagnosing and strengthening the core offer structure.

Write idiomatic PHP code with generators, iterators, SPL data structures, and modern OOP features for high-performance applications.

Provides a structured debugging workflow for analyzing errors, test failures, and unexpected behavior, including root cause analysis and fix recommendations.

Remove assigned mypy exclusion modules in small batches, fix typing issues, run validation, and produce a structured completion summary.

Structure a pattern library entry with problem context, solution pattern, usage examples, and related patterns.

Conduct a structured competitive analysis comparing UX patterns, features, strengths, and gaps across rival products.

Provides structured debugging guidance for errors, test failures, and unexpected behavior, including root cause analysis and verification steps.

Reviews all uncommitted changes in the current Git repository and produces a structured code review report with findings and a verdict.

Creates a pull request from the current feature branch with a structured summary, test results, and change description.

Algorithm-first discipline: state Big-O, data structure, and algorithm family BEFORE writing loops, queries, or recursion. Catches O(n^2), N+1, and brute-force defaults.

Use when working with files in ~/Notes (the user's Obsidian vault). Covers vault structure (PARA), file naming, frontmatter, icons, templates, kanban boards, and the obsidian CLI.

Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.

Root cause analysis skill — diagnose bugs systematically before fixing. Iron Law: no fix without a confirmed hypothesis. Uses scope lock, 3-strike escalation, and structured debug reports.

Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.

Algorithm-first discipline: state Big-O, data structure, and algorithm family BEFORE writing loops, queries, or recursion. Catches O(n^2), N+1, and brute-force defaults.

Algorithm-first discipline: state Big-O, data structure, and algorithm family BEFORE writing loops, queries, or recursion. Catches O(n^2), N+1, and brute-force defaults.

Algorithm-first discipline: state Big-O, data structure, and algorithm family BEFORE writing loops, queries, or recursion. Catches O(n^2), N+1, and brute-force defaults.

Algorithm-first discipline: state Big-O, data structure, and algorithm family BEFORE writing loops, queries, or recursion. Catches O(n^2), N+1, and brute-force defaults.

Holarchic reasoning framework implementing λ-calculus over simplicial complexes. Entities (ο) transform through operations (λ) toward terminals (τ) via the universal form λο.τ. Persistent homology captures multi-scale structure; sheaf theory ensures local-to-global consistency. Use when knowledge requires: (1) homoiconic self-reference where structure mirrors content, (2) scale-invariant holonic decomposition, (3) topological invariants preserved across transformations, or (4) formal Lex-style axiom systems over property graphs.

Generate operational runbooks from a service name — deployment, incident response, maintenance, and rollback workflows. Templated structure customizable per environment.

Design pricing, packaging, and monetization strategies that capture value and align with customer willingness to pay.

Design content models for AEM Edge Delivery Services blocks that are easy for authors to work with.

Generate an llms.txt file from repository structure, following the llms.txt specification to help LLMs navigate and understand the project.

Build automated evaluation pipelines for Python LLM applications using real LLM calls and structured test datasets.

Analyzes article structure, identifies positions requiring visual aids, and generates illustrations with consistent type, style, and palette.

Organize, query, validate, and convert neuroscience and biomedical data using the Brain Imaging Data Structure (BIDS) standard.

Provides a structured debugging workflow for diagnosing errors, test failures, and unexpected behavior, including root cause analysis and verification steps.