Research

Comprehensive testing specialization covering test strategy, automation, TDD methodology, test writing, and web app testing. Use when setting up test infrastructure, writing tests, implementing TDD workflows, analyzing coverage, integrating tests into CI/CD, or testing web applications with Playwright. Framework-agnostic approach with framework-specific guidance via reference files.

Master statistical analysis with hypothesis testing, A/B testing, regression, and statistical methods for data-driven decisions.

Format citations in APA, MLA, Chicago, IEEE, Harvard styles from structured data, DOI/ISBN lookup, or manual entry. Generate bibliographies with auto-sort.

Group ideas into families by underlying pattern. Use when: (1) asked to organize or categorize generated options, (2) varied ideas or concepts referenced with areas of indistinction between them, (3) similar suggestions scattered across discussion without visible grouping, (4) multiple approaches mentioned that share unstated common ground.

Provides documentation standards for README, API docs, code comments, changelogs, and project cleanup. Use when writing documentation, README files, API references, or cleaning up project files.

Synthesizes research findings into design decisions via codebase investigation. Use when (1) translating research into implementation approaches, (2) selecting between design alternatives, (3) executing after /research or deep-research, or (4) preparing input for /plan phase.

Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.

Recipe collection manager. Extracts recipes from URLs (websites, Instagram, YouTube), images, and Apple Notes. Stores in structured YAML format with family preferences tracking. Supports sync to/from Notion.

AI security co-pilot for identifying, testing, and fixing vulnerabilities in LLM-powered applications. Use when: (1) Securing LLM applications or agents, (2) Generating security test suites with promptfoo, (3) Testing for prompt injection, jailbreaking, data exfiltration, (4) Hardening system prompts, (5) Compliance mapping for OWASP LLM Top 10, NIST AI RMF, CJIS, SOC2, (6) Threat modeling AI systems, (7) Analyzing security eval results, (8) Research on LLM attack/defense techniques. Triggers: "secure my LLM", "prompt injection", "jailbreak test", "AI security", "red team", "system prompt hardening", "LLM vulnerability", "promptfoo", "OWASP LLM", "AI compliance".

Process expert sources (videos, podcasts, articles, books) into structured insights. Use when ingesting new knowledge sources for extraction and analysis.

CVE vulnerability testing coordinator that identifies technology stacks, researches known vulnerabilities, and tests applications for exploitable CVEs using public exploits and proof-of-concept code.

Creates blueprint-driven skills for infrastructure and deployment tasks. This skill should be used when creating new skills that require templates, patterns, or reference configurations (e.g., Dockerfiles, Helm charts, Kubernetes manifests, CI/CD pipelines). It enforces impact analysis before containerization, identifies environment requirements, network topology changes, and auth/CORS implications. Use this skill when building deployment-related skills or when containerizing applications.

Multi-agent parallel investigation for complex VCV Rack problems

[Aesthetics] Maps aesthetic briefs to cultural references: art movements, photography, film, architecture, music, fashion. Outputs reference lists with visual language analysis. Organizes findings as Image and Memo nodes in Brain canvas.

Strategic web research using WebSearch and WebFetch - finds accurate, relevant information with multiple search angles, prioritizes authoritative sources, synthesizes findings with proper attribution.

Send prompts to ChatGPT Pro via Playwriter browser automation. Use for cross-validation, second opinions, or leveraging GPT-5.2 Pro's research-grade intelligence.

Create detailed implementation plans through interactive research and iteration. This skill should be used when creating new implementation plans, designing feature specifications, planning technical work, or when the user asks to plan an implementation. Triggers on requests like "create a plan", "plan the implementation", "design how to implement", or when given a feature/task that needs structured planning before implementation.

Orchestrates comprehensive codebase research by decomposing user queries into parallel sub-agent tasks and synthesizing findings. This skill should be used when users ask questions about how code works, where functionality exists, how components interact, or need comprehensive documentation of existing implementations. It focuses exclusively on documenting and explaining the codebase as it exists today.

Retrieve documentation from Hackage. Use this Skill when you need a reference for Haskell packages, classes, or want to query package versions. (project)

Use for MASSIVE work requests requiring multi-epic planning. Creates research spikes, documents all unknowns and decisions, builds resumable architecture documents, and structures work into epics and milestones.