Results for “structure”

Guides users through a structured three-stage workflow for co-authoring documents, from context gathering to reader testing.

Eliminate predictable AI writing patterns from prose by cutting filler phrases, breaking formulaic structures, and using active voice.

Creates detailed, bite-sized implementation plans from specs or requirements, with file structure, task decomposition, and TDD steps.

Build sales playbooks, define pipeline stages, and optimize conversion rates with structured processes and lead scoring.

Structured frameworks and daily practice routines for fundraising, including pitch preparation, term sheet evaluation, and investor relations.

Creates structured Jira tickets from incident root cause analysis findings, including severity classification and remediation steps.

Coordinates four reasoning skills and an agent for structured thinking, problem solving, creative ideation, and learning.

Judges agent outputs against LaRuche's quality standards, returning a structured scorecard with scores, verdict, and actionable corrections.

Stores, retrieves, and curates persistent facts in a structured memory map, distinguishing between user facts and reference text.

Architects, reviews, and scales backend systems with structured blueprints, trade-off analysis, and audit reports.

Expert C4 Code-level documentation specialist. Analyzes code directories to create comprehensive C4 code-level documentation including function signatures, arguments, dependencies, and code 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.

Referral and partnership marketing strategist. Use when the user requests 'referral program', 'affiliate', 'partner program', 'refer-a-friend', 'word-of-mouth', or 'commission structure'.

Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.

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.

Expert C4 Code-level documentation specialist. Analyzes code directories to create comprehensive C4 code-level documentation including function signatures, arguments, dependencies, and code structure.

Context compression for YAMTAM — nén JSON/structured tool output trước khi vào LLM. Hiệu quả với JSON (50-72% tiết kiệm); text thuần cần bản [all].

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.

Creates new skills for the Antigravity agent environment. Use when the user asks to create a skill, build a skill, or generate a skill structure.

Create a structured H2/H3 outline with BLUF openers and MECE coverage, bound by the research dossier's beat spec. Triggered after /research and /brand-reference.

Design the deeper patterns, structures, artefacts, and mental models needed to grow a desired event. Use when a class imagines a better future.

Design structured perspective-taking activities with anti-projection guardrails. Develops genuine understanding of complexity across history, social sciences, and literature — not performed empathy.

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

Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.

Use this when reviewing or designing UI for keyboard access, semantic structure, focus handling, labels, contrast, error communication, motion sensitivity, or screen-reader-friendly behavior.

Designing, optimizing, and auditing repository structure: directory design, docs/ layout (PRD, specs, ADR), test/script organization, anti-pattern detection. Use for repo layout or migration planning.

Use when users need to read, search, create, edit, organize, or cross-link notes in an Obsidian vault while preserving markdown structure and knowledge-base context.

Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.

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.

Use when designing a new system, choosing between architectural patterns, planning how components will connect, evaluating scalability and reliability trade-offs, or reviewing an existing system for structural problems. For system design, service boundaries, database design, API structure, monolith vs microservices decisions, and architecture decision records (ADRs). Activate when user says "how should I structure this", "design the system", "is this architecture right", or "plan the backend".

Co-fold biomolecular complexes with Boltz-2, an open AlphaFold3-style model — predict protein + ligand (SMILES/CCD), protein + nucleic-acid, and multi-chain structures in one pass, with binding-affinity prediction. Use when folding a protein together with a small-molecule ligand, predicting a holo (ligand-bound) complex or its binding affinity, or co-folding protein–DNA/RNA assemblies. For protein-only or protein–protein folding without ligands prefer alterlab-alphafold; for antibody–antigen complexes prefer alterlab-chai; to dock a ligand into a FIXED receptor structure prefer alterlab-diffdock; to look up an existing structure prefer alterlab-pdb. Part of the AlterLab Academic Skills suite.

Guides users through a structured three-stage workflow for co-authoring documentation, proposals, technical specs, and similar documents.

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