All Skills

This skill should be used when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs".

Creates, reviews, and iterates on Agent Skills (the open, cross-platform format for extending AI agents). Scaffolds new skill directories, writes SKILL.md files with proper frontmatter and body structure, applies progressive disclosure, reviews existing skills for anti-patterns, and guides testing workflows. Use when the user asks to create a skill, write a SKILL.md, review or improve an existing skill, or structure agent instructions.

Bug-to-test pipeline: reproduce the bug as a failing test first, then fix. The regression test lives forever.

Turn a vague idea into a structured PRD through guided conversation. The agent asks questions — you just talk.

This skill should be used when the user asks to "process a large file", "analyze document exceeding context", "use RLM", "recursive language model workflow", "chunk and analyze a file", "handle long context", or needs to work with documents too large to fit in the context window. Orchestrates the full RLM loop using the rlm-rs CLI.

Coordinates 3 specialized documentation audit workers (structure, semantic, code comments). Detects project type, delegates parallel audits, aggregates results into docs/project/docs_audit.md.

Cross-platform content distribution — generate platform-native versions of content for X, LinkedIn, Reddit, and Xiaohongshu from one input, then auto-publish via API or browser automation. Use when distributing content, creating social posts, or publishing across platforms.

Use when receiving feedback on code you implemented, responding to reviewer comments, deciding which review suggestions to implement, or pushing back on incorrect review feedback.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

This skill should be used when the user asks to "generate tests", "write unit tests", "analyze test coverage", "scaffold E2E tests", "set up Playwright", "configure Jest", "implement testing patterns", or "improve test quality".

Problem-solving strategies for interpolation in numerical methods

Analyze user/customer feedback and produce a User Feedback Analysis Pack (source inventory, normalized feedback table, taxonomy/codebook, themes + evidence, recommendations, and feedback loop). Use for voice of customer, feature request analysis, support ticket synthesis, churn reason synthesis, and survey open-ends.

Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.

Problem-solving strategies for numerical integration in numerical methods

Automate Everhour tasks via Rube MCP (Composio). Always search tools first for current schemas.

Spatial and temporal convergence analysis with Richardson extrapolation and Grid Convergence Index (GCI) for solution verification

Automate Front tasks via Rube MCP (Composio). Always search tools first for current schemas.

Detects and analyzes ambiguous language in software requirements and user stories. Use when reviewing requirements documents, user stories, specifications, or any software requirement text to identify vague quantifiers, unclear scope, undefined terms, missing edge cases, subjective language, and incomplete specifications. Provides detailed analysis with clarifying questions and suggested improvements.

Performs structured analysis of RFP (Request for Proposal) or requirement documents, identifying stakeholders, functional modules, system constraints, and generating key clarification questions. This Skill focuses on 'analysis and decomposition' to prepare for subsequent User Story writing.

Manually add new learnings (patterns, preferences, rules) to memory. Use when you want to remember specific information.

Evaluates User Story quality and automatically corrects items not meeting standards. Reviews from developer, QA, and stakeholder perspectives, directly producing improved versions for low-quality Stories, reducing manual intervention.

Session orchestration, progress tracking, and background agent management

Generate oclif CLI framework projects with plugin support, topics, hooks, and TypeScript. Creates enterprise-grade CLI applications with extensibility.

Converts RFP analysis results or functional requirements into high-quality, executable User Stories. Follows INVEST principles, produces complete Stories with acceptance criteria, and organizes output by functional modules.