Results for “structure”

Create high-quality bilingual detailed summaries for StaticFlow articles, focusing on evidence, reader value, and clear structure while allowing flexible writing style.

Chunks a book into canonical retrieval units with heading-aware structure splitting, recursive token targets, and contextual prefixes for downstream RAG ingestion.

Audits code quality against a shared contract, producing structured findings and blocking pipeline phases on critical issues without modifying code.

Runs a structured, multi-round brainstorm to capture actors, features, scope, constraints, and business rules for a project before writing a spec.

Predicts gene and transcript structure from a DNA sequence using the hosted Genomic Intelligence API, producing a report and JSON output.

Produces high-quality written knowledge artifacts such as READMEs, guides, API specs, tutorials, runbooks, and wikis, with audience-appropriate structure and accuracy.

Verifies data structures, files, YAML blocks, or agent output against their defined schema, producing a pass/fail report with actionable fix instructions.

Convenes a four-voice council of subagents to surface structured disagreement for ambiguous decisions, tradeoffs, and go/no-go calls.

Guides developers through adding new wsh commands to Wave Terminal, covering file creation, Cobra command structure, flags, block arguments, and RPC integration.

Provides structured goal-setting and strategic guidance in the style of John Doerr, focusing on OKRs, execution, and team evaluation.

Creates a structured, queryable snapshot of a domain's current state, capturing entities, relationships, and properties with confidence scores and evidence anchors.

Generates ad copy, email sequences, long-form articles, and product descriptions with structured briefs and templates for content production.

Builds mental toughness and adaptability through structured frameworks, daily practice routines, and reflection exercises for navigating failure, crisis, and high-pressure situations.

Token-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find functions, or explore a codebase efficiently.

Build typed LLM applications with PydanticAI: schema-constrained outputs, tool integration, validation, retries, and deterministic downstream handoffs. Use when users need reliable structured outputs instead of free-form text generation.

Identify, assess, and mitigate project risks across technical, scope, dependency, and timeline categories using a structured register and escalation rules.

Structure a hard business decision — frame the choice, score options against weighted criteria, run a pre-mortem and stress-test, and produce a recommendation + decision record for any active brand

Creates, reviews, debugs, and modernizes Python project structure with deterministic tooling including pyproject.toml, uv, Ruff, Pyright, and pytest.

Intelligently organizes files and folders by understanding context, finding duplicates, and suggesting better organizational structures. Use when user wants to clean up directories, organize downloads, remove duplicates, or restructure projects.

Intelligently organizes files and folders by understanding context, finding duplicates, and suggesting better organizational structures. Use when user wants to clean up directories, organize downloads, remove duplicates, or restructure projects.

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

Descriptions component for displaying key-value pairs in a structured layout. Invoke when user needs to display item details, configuration info, or form-like read-only data in Naive UI.

Generate Product Requirements Documents through structured conversation for any project. Use when starting a new feature, documenting requirements, creating specs before implementation, or needing clarity on scope and success criteria.

Research the open web for enhancement opportunities (Layer 3 — Opus subagent with WebSearch + WebFetch). Topic-driven. Returns structured findings with hype tags + source URLs. Does NOT auto-implement.

Use when designing or rewriting a high-converting landing page (single-offer page) for SaaS/apps/services. Covers structure, layout patterns, conversion strategies, copywriting, SEO/AEO, and common pitfalls.

Use when evaluating competitors, market positioning, or assessing competitive threats. This skill provides a structured framework for analyzing competitors' offerings, strategies, and market positioning to inform strategic decisions.

Generates structured hearing preparation briefings from case documents, evidence, authorities, and procedural details. Use when preparing for court hearings, administrative hearings, arbitrations, trials, motion hearings, evidentiary hearings, or status conferences.

Create professional, visually polished GitHub README files with badges, diagrams, structured sections, and modern markdown design patterns. Use when creating or redesigning a repo's README for maximum GitHub impact.

Intelligently organizes files and folders by understanding context, finding duplicates, and suggesting better organizational structures. Use when user wants to clean up directories, organize downloads, remove duplicates, or restructure projects.

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

Design, run, and learn from safe chaos engineering experiments with structured plans, blast radius calculation, and postmortem generation.

Automate browser tasks, scrape websites, fill forms, capture screenshots, and extract structured data from web pages using Playwright.

Maintain durable session memory across agent disconnects by writing structured checkpoints to the repo's session directory, enabling context recovery.

Generate a Lean Canvas with sections for problem, solution, metrics, cost structure, UVP, unfair advantage, channels, segments, and revenue for testing business hypotheses.

Orchestrate multi-agent coding tasks by dispatching parallel agents in isolated worktrees, monitoring progress, and reading structured reports.

Optimize content to get cited by AI search engines and rank in LLM-generated answers.