Results for “dep”

Generates rich technical documentation pages with dark-mode Mermaid diagrams, source code citations, and first-principles depth.

Generates thorough README.md files by deeply exploring a codebase to produce comprehensive project documentation covering local setup, architecture, and deployment.

Creates C4 context-level system documentation including system descriptions, personas, user journeys, external dependencies, and Mermaid context diagrams.

Analyzes codebases in depth and produces structured markdown analysis documents covering architecture, module design, call flows, data models, and design patterns.

Diagnoses repository and PWDEV Flow health without modifying the project, producing an evidence-based scorecard and readiness report.

Creates and manages Architecture Decision Records using the Michael Nygard format, including new ADR creation, retrospective analysis, superseding, deprecating, and index generation.

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

Check dependency licenses against your project's license and flag conflicts, copyleft obligations, and unknown/unlicensed packages. Reads manifests directly. Advisory, not legal advice. Pure Claude Code, no signup.

Generates AI-friendly repository documentation using the SourceSage CLI, supporting local or external repos, language switching, lite mode, and deprecated diff reports.

Reference for building real-time voice and multimodal AI applications with Pipecat, covering pipelines, speech services, LLMs, transports, and deployment.

Breaks a topic into a sequence of adaptive learning articles, adjusting depth and pace based on user feedback from the previous lesson.

Crawls websites and saves content from multiple pages as local markdown files using the Tavily CLI, with options for depth, breadth, path filtering, and semantic focus.

Generates customizable prompts for scanning codebases to identify and document high-quality code exemplars, supporting multiple programming languages and configurable analysis depth.

Comprehensive guide to prevent unmaintainable code, especially from AI generation. Covers code duplication, documentation, error handling, naming conventions, architecture, performance, dependencies, modularity, testing, and technical debt prevention. Essential for code reviews and ensuring long-term code health.

Conduct in-depth, multi-step research on a given topic by decomposing queries, finding diverse sources, cross-referencing findings, and synthesizing a comprehensive report. Use when the user requests deep research or provides relevant inputs for this workflow.

Deploy a phishing report button in email clients and build an automated triage workflow that analyzes user-reported suspicious emails, extracts IOCs, and provides feedback to reporters.

Generates explanatory illustrations for Chinese in-depth articles using a fixed IP character library, following a structured method of cognitive anchor selection, metaphor creation, and anti-PPT self-check.

Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams. Triggers on Github repository URL or open source projects.

Initiates a 6‑month trial of DHEA replacement in women with primary adrenal insufficiency (PAI) who have persistent low libido, depressive symptoms, or low energy despite otherwise optimized glucocorticoid and mineralocorticoid therapy. If the patient does not report a sustained beneficial effect after 6 months, discontinue DHEA.

Mine proof-heavy papers, notes, PDFs, Markdown, or LaTeX sources into source-indexed proof-material files. Use when the user wants to extract technically nontrivial lemmas, estimates, definitions, dependencies, reductions, constructions, or proof strategies, preserve paper locations and stable material IDs, run DeepSeek screening/backtests, and update the proof-material index rather than writing directly to proof-usage.

Builds a feature specification from scratch through a relentless, evidence-based interview that walks the design tree decision-by-decision, resolving dependencies as it goes. Use when the user wants to plan, design, scope, specify, or flesh out a new feature, capability, or system behavior before implementation. Produces a feature specification focused on system behaviors, not implementation detail. Does not refine or stress-test an existing plan — use iterative-plan-review. Does not document already-built features — use project-documentation. Does not design the contract for an interface — use design-an-api. Does not research open-ended options before there is a feature to specify — use research.

Performs deep architectural analysis of a specified module, directory, or feature area by examining structural coupling, data flow, concurrency patterns, risk, and SOLID alignment. Use when the user wants to assess, evaluate, or review the architecture, design quality, dependency structure, coupling, cohesion, or technical debt of an existing part of the codebase. Not for investigating specific bugs, runtime errors, or failures — use investigate. Not for test planning — use automated-test-planning. Not for file-level code review — use code-review. Not for researching open-ended options, prior art, or how something works — use research. Not for designing a new interface or contract — use design-an-api. Not for writing documentation or architectural decision records.

Search, scrape, and interact with the web via the Firecrawl CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, scrape a webpage, grab content from a URL, get data from a website, crawl documentation, download a site, or interact with pages that need clicks or logins. Also use when they say "fetch this page", "pull the content from", "get the page at https://", or reference external websites. This provides real-time web search with full page content and interact capabilities — beyond what Claude can do natively with built-in tools. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.