Results for “structure”

Converts narrative technical documents into structured mathematical problem specifications with variables, constraints, objectives, and uncertainty.

Create pull requests with structured descriptions based on committed branch diffs, following Sentry's engineering practices.

Generate structured, machine-readable implementation plans for features, refactoring, upgrades, or infrastructure changes.

Structure compelling design presentations for stakeholders, reviews, and showcases.

Runs read-only exposure checks for security advisories and writes a structured local audit report.

Turns a brainstorm document into a structured software requirements specification with actors, features, business rules, and non-functional requirements.

Guides a structured brainstorming session that surfaces user ideas, narrows options, and produces a spec file for later planning.

Distills complex content into concise, structured summaries with key takeaway bullets and a bottom-line conclusion.

Guides a structured planning pipeline for coding tasks, from scoping and research to plan creation, review, and handoff.

Guides a structured brainstorm that surfaces user ideas, explores directions, and produces a spec and report for later planning.

Explains cell structure, organelles, signaling pathways, and cell cycle regulation for biology study and research.

Assembles board or investor deck structures from product, growth, finance, and execution updates for leadership presentations.

Manage Helm charts end-to-end: structure, templates, values schema, releases, hooks, and debugging.

Build and maintain professional relationships through strategic outreach, events, and follow-up, with structured frameworks for deliberate practice.

Write idiomatic, high-performance PHP using generators, iterators, SPL data structures, and modern OOP features.

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

Daily and weekly paid ads analysis — Google Ads, Meta Ads, GA4 funnel analysis with structured JSON email briefs for any active brand

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

`analysis-agent`/`task-agent`/`review-agent`: use for structure, workspace or package bootstrap, config, scripts, or quality gates; skip without an initialization decision.

`analysis-agent`: use when raw requests need behavior, actors, scope, non-goals, constraints, deliverables, acceptance, or test traceability; skip when structure already exists.

Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.

Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.

Use for PPC work when Codex should audit Meta Ads account structure, delivery, learning, attribution, creative, audience, and spend evidence.

A cascader component for displaying and selecting tree-structured data with support for single/multiple selection, async loading, filtering, and various check strategies

Adversarial code review using parallel review layers and structured triage. Use when the user says "run code review" or "review this code"

Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.

Create structured memoranda of understanding for partnerships, including context, key components, action plans, and success metrics.

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

Track technical changes with structured records, a state machine, and session handoff. Usage: /tc <init|create|update|status|resume|close|export|dashboard> [args]

Generate knowledge schemas and ontologies from any input format. Extract semantic structures, relationships, and hierarchies. Output as Obsidian markdown with YAML frontmatter, wikilinks, tags, and mermaid diagrams, or export to semantic formats (JSON-LD, RDF, Neo4j Cypher, GraphQL). Supports fractal mode (strict hierarchical constraints) and free mode (flexible generation). Auto-activates for queries containing "schema", "ontology", "knowledge graph", "extract structure", or "generate outline".

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.

Run ESM protein language models — ESM3 for generative multimodal protein design across sequence, structure, and function, and ESM C for efficient embeddings and representations — locally or via the cloud Forge API. Use when working with protein sequences, structures, or function prediction, designing novel proteins, generating protein embeddings, performing inverse folding, or doing protein-engineering tasks. Part of the AlterLab Academic Skills suite.

Adds logging, metrics, tracing, and alerting to make production behavior visible and diagnosable.

Scaffolds new Blazor web applications with the correct render mode, project structure, and authentication setup.