Results for “spec”

Runs external LLM code reviews (OpenAI Codex or Google Gemini CLI) on uncommitted changes, branch diffs, or specific commits.

Generates llms.txt and llms-full.txt files that provide LLM-friendly access to wiki documentation, following the llms.txt specification.

Build beautiful native UIs for Expo apps with guidance on routing, styling, animations, and platform-specific components.

Updates a markdown file section with an index or table of files from a specified folder, preserving existing structure and formatting.

Creates pre-configured devcontainers with Claude Code, language-specific tooling (Python, Node, Rust, Go), and persistent volumes for isolated development environments.

Writes internal communications using company-specific formats for status reports, leadership updates, newsletters, FAQs, incident reports, and project updates.

Inspects the host system, assesses platform compatibility, and recommends the correct Holoscan SDK installation method, then delegates to a method-specific install skill.

Fine-tune a TAO model with standard supervised training, evaluation, and export, with AutoML bypass and platform-specific credential intake.

Guides users through creating effective skills that extend AI coding agents with specialized knowledge, workflows, and tool integrations.

Routes user requests to specialist skills for AEM 6.5 LTS Dispatcher configuration, troubleshooting, performance tuning, security hardening, and lifecycle orchestration.

Generates a high-level technical architecture specification for an epic from a Product Requirements Document, including system diagrams, component lists, and estimates.

Create Git branches following the Conventional Branch specification (feature/, bugfix/, hotfix/, release/, chore/). Validates branch names and automates checkout from the correct base branch.

Start, query, and stop a TAO inference microservice for a specific network architecture by delegating container execution to the appropriate platform skill.

Creates durable command-line tools from API docs, OpenAPI specs, SDKs, or existing scripts, installable as system commands for future use.

Scaffolds new agent skills conforming to the Agent Skills specification and dotnet/skills repository conventions, generating SKILL.md files with proper frontmatter and directory structures.

Scan AEM Edge Delivery Services pages for WCAG 2.1 AA violations and generate specific fixes for content authors and developers.

Fetch unread GitHub notifications for open PRs where review is requested from a specified team or opened by a team member.

Conducts multi-turn iterative deep research on specific topics within a codebase, tracing actual code paths and grounding every claim in evidence.

Perform language and framework-specific security best-practice reviews, write secure-by-default code, and generate prioritized vulnerability reports with suggested fixes.

Scaffolds VS Code custom agent files (.agent.md) with YAML frontmatter, tool configuration, handoffs, and instructions for specialized AI personas.

Routes user requests to specialist skills for AEM 6.5 LTS workflow model design, custom step development, launcher configuration, triggering, debugging, and triaging.

Create, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.

Create or update standardized object-oriented component documentation by analyzing source code and following a shared template with mode-specific guidance.

Discovers and installs agent skills from the open ecosystem when users ask for help with specific tasks or express interest in extending capabilities.

Curates clinical-specialty term lists, generates IPA-tagged synthetic audio via TTS, and produces NeMo-format manifests for ASR benchmark evaluation.

Provides file paths to language-specific extension files for the code-testing pipeline, enabling discovery of guidance for .NET, Python, TypeScript, and other languages.

Create, synthesize, and iteratively improve agent skills following the Agent Skills specification. Handles source capture, precision passes, authoring, registration, and validation.

Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.

Analyze existing code files to generate a project-specific coding standards document, with options for templates, README insertion, and inconsistency detection.

Fetches IAM recommendations and security insights from Google Cloud for a specified organization, folder, or project, using MCP tools, gcloud CLI, or direct API calls.

Write, review, and improve blog posts for the Sentry engineering blog following Sentry's specific writing standards, voice, and quality bar.

Ensure .NET/C# code meets project-specific best practices for structure, design patterns, dependency injection, async/await, testing, configuration, and security.

Fine-tune Cosmos Reason video QA models using supervised fine-tuning with FSDP parallelism, including dataset preparation, spec construction, and AutoML support.

Audits test code in any language using the academic testsmells.org 19-smell catalog, producing a severity-ranked report with specific locations and actionable fixes.

Generate an OpenAPI 3.1 specification from a browser-trace capture by analyzing observed HTTP traffic, templating URLs, and inferring JSON schemas from request/response samples.

Transforms vague UI ideas into polished, Stitch-optimized prompts by enhancing specificity, adding UI/UX keywords, injecting design system context, and structuring output for better generation results.