Results for “spec”

Use this when designing or scaffolding a Python API service, endpoint structure, request validation approach, handler layout, or API-specific service patterns in FastAPI, Flask-style, or similar Python backends.

Creates a comprehensive Product Requirements Document that aligns stakeholders on what to build, why, and how success will be measured. Use when specifying features, epics, or product initiatives for engineering handoff.

Create text-based wireframes at low, mid, and high fidelity with component inventories, interaction annotations, and responsive breakpoint specifications. Use when the user requests wireframing or provides relevant inputs for this workflow.

Generates or updates an index.md to reference all docs in the folder. Use if user requests to create or update an index of all files in a specific folder

Use this skill when creating, managing, or working with Conductor tracks - the logical work units for features, bugs, and refactors. Applies to spec.md, plan.md, and track lifecycle operations.

Run a structured discovery interview and produce a complete, developer-ready Product Requirements Document. Load when the user asks to write a PRD, create product requirements, document a feature, define user stories with acceptance criteria, or turn a rough idea into a formal product requirements document. Also triggers on "document this feature", "write requirements for", "create a one-pager", "turn this into a PRD", "I need a PRD for", or any request to produce a structured product document for stakeholder alignment or engineering handoff. Supports Full PRD, Lean PRD, and One-Pager formats. Note: for executable feature specifications (FRs, NFRs, ACs as Given/When/Then consumable by AI coding agents), route to `feature-spec` instead — PRDs frame the product, feature-specs encode the implementable contract.

Routes project management requests to one of eight specialized skills: senior PM, scrum master, Jira, Confluence, Atlassian admin, templates, meeting analyzer, or team communications.

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

Build LLM-powered applications using the Claude API, Anthropic SDKs, or the Agent SDK with language-specific guidance and best practices.

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.

Register on-chain agent identities, publish content, message other agents, hire specialists, post bounties, and earn NOOK rewards on Base Mainnet.

Triage and prioritize vulnerabilities using CISA's Stakeholder-Specific Vulnerability Categorization (SSVC) decision tree framework to produce actionable remediation priorities.

Design REST and GraphQL APIs with OpenAPI 3.1 specifications, resource modeling, versioning strategies, pagination patterns, and error handling standards.

Analyzes natural language requests to determine project type, select a tech stack, plan structure, and coordinate specialized agents for building full-stack applications.

Simulates multi-expert panel discussions by recommending or accepting specified experts, generating parallel dialogues, and providing a judge summary for each round.

Diagnoses whether a draft will resonate with its audience using a five-dimension communication psychology framework, identifies structural problems, and gives specific fixes.

Provides a design system specification inspired by Mastercard's visual language, including color palette, typography, and component patterns for building brand-aligned interfaces.

Scans classes in a specified package using Spring's ResourcePatternResolver and filters out abstract classes, interfaces, and classes without public constructors.

Performs independent-sample t-tests in R on numeric variables between subgroups within each main group, using user-specified column names and outputting statistical results.

Guides Apex exception handling design: catching expected failures, bulk DML semantics, boundary-specific error translation, and logging once at the right layer.

Transforms a rough idea into a detailed design document with an implementation plan through iterative requirements clarification, research, design, and planning.

Generates RFQ-ready 2D DXF files and optional SVG previews from a validated JSON spec, ideal for sheet and plate parts like brackets and hole patterns.

Covers MariaDB-specific DELETE syntax and behavior, including RETURNING, multi-table forms, temporal-table deletion, and DELETE vs TRUNCATE differences.

Covers MariaDB-specific SELECT syntax and behavior, including optimizer hints, LIMIT extensions, row locking, temporal queries, and file output.

Provides domain-specific best practices for creating videos with Remotion in React, covering 3D, animations, audio, captions, charts, transitions, and more.

Enforces language-specific coding rules, style guidelines, patterns, security, and testing standards by referencing a built-in guidelines bank.

Adapts a single piece of content into platform-specific versions for X, LinkedIn, Threads, and Bluesky, preserving the author's voice and avoiding duplicate copy.

Crafts concise, specific investor emails—outreach, warm intros, follow-ups, updates, and closing notes—with a clear single ask and strong proof points.

Systems ML and hardware-aware optimization specialist. Use when the user asks to talk to Killjoy, requests the systems researcher, or needs compute-aware architecture tradeoffs, distributed training, and inference optimization.

Implementation specialist for LLM applications and AI systems. Use when the user asks to talk to Hermione, requests the AI engineer, or needs to build an LLM app or agent system.

Surface the most valuable next action by combining task stack, queue state, inbox pressure, health, and goals. Recommends one specific action with rationale. Triggers on "/next", "what should I do", "what's next".

AI-driven Game Development Studio (BMAD-GDS). Routes game projects through Pre-production, Design, Architecture, Production, and Game Testing phases using 6 specialized agents. Supports Unity, Unreal Engine, Godot, and custom engines.

Material-UI v7 component library patterns including sx prop styling, theme integration, responsive design, and MUI-specific hooks. Use when working with MUI components, styling with sx prop, theme customization, or MUI utilities.