prd-v03-moat-definition
Assess competitor defensibility and define our own moat strategy during PRD v0.3 Commercial Model. Triggers on requests to analyze competitor moats, define our defensibility, assess switching costs, identify vulnerabilities, find wedge opportunities, or when user asks "what's our moat?", "how defensible are they?", "where can we compete?", "switching costs?", "defensibility", "who to target". Consumes Competitive Landscape (v0.2) CFD- entries. Outputs CFD- entries for competitor moats and BR- entries for targeting rules and our defensibility strategy.
solution-options-document
Write solution options documents to evaluate and compare different technical approaches with trade-off analysis Common user requests: - "Evaluate options for [problem]" - "Compare [solution A] vs [solution B]" - "What are the trade-offs between [approach X] and [approach Y]?"
threat-model-generator
Creates comprehensive threat models using STRIDE methodology with asset identification, threat enumeration, mitigation strategies, and residual risk assessment. Use for "threat modeling", "security analysis", "STRIDE", or "risk assessment".
hiring-helper
Screen job candidates using AI-powered evaluation. Use when asked to "screen candidates", "review applicants", "evaluate candidates", or when reviewing resumes and applications.
monitoring-coordinator
RAN monitoring coordination with real-time dashboards, cognitive consciousness, and intelligent observability for comprehensive network monitoring. Use when coordinating RAN monitoring, implementing real-time dashboards, managing observability stacks, or enabling intelligent monitoring systems in 5G networks.
book-marketing
Diagnose book marketing copy problems and generate platform-optimized blurbs, descriptions, taglines, and query pitches. Use when marketing copy feels weak, when descriptions aren't converting, or when starting marketing from scratch.
seo-keyword-strategist
Analyzes keyword usage in provided content, calculates density, suggests semantic variations and LSI keywords based on the topic. Prevents over-optimization. Use PROACTIVELY for content optimization.
seo-authority-builder
Analyzes content for E-E-A-T signals and suggests improvements to build authority and trust. Identifies missing credibility elements. Use PROACTIVELY for YMYL topics.
transcript-analyzer
This skill analyzes meeting transcripts to extract decisions, action items, opinions, questions, and terminology using Cerebras AI (llama-3.3-70b). Use this skill when the user asks to analyze a transcript, extract action items from meetings, find decisions in conversations, build glossaries from discussions, or summarize key points from recorded meetings.
latex-thesis-zh
Chinese doctoral/master thesis LaTeX assistant. Provides: structure integrity checking, GB/T 7714 format validation, compilation (xelatex/lualatex via latexmk), Chinese academic expression standards, terminology consistency analysis. Use when: - Working with Chinese thesis projects (main.tex + chapter files) - User mentions "doctoral thesis", "master thesis", "dissertation", "graduation thesis" - User mentions Chinese: "博士论文", "硕士论文", "学位论文", "毕业论文" - User asks about university templates: thuthesis, pkuthss, ustcthesis, fduthesis - User needs GB/T 7714 bibliography format checking - User wants to compile Chinese LaTeX documents
latex-paper-en
LaTeX academic paper assistant for English conference/journal papers. Provides: format checking (chktex), compilation (pdflatex/xelatex/lualatex via latexmk), grammar analysis, complex sentence decomposition, and expression restructuring. Use when: - Working with .tex files for English academic papers - User mentions "paper review", "grammar check", "improve writing", "proofread" - User asks to compile LaTeX documents - User mentions venues like IEEE, ACM, Springer, NeurIPS, ICML - User needs help with academic English writing style - User wants to check BibTeX/bibliography formatting
analyzing-research-papers
Expert methodology for analyzing and summarizing research papers, extracting key contributions, methodological details, and contextualizing findings. Use when reading papers from PDFs, DOIs, or URLs to create structured summaries for researchers.
sear
Semantic search and RAG for documents. Use when user needs to index PDF/DOCX/text files, perform semantic search, extract relevant content from document corpuses, or build RAG applications. Supports multi-corpus search, GPU acceleration, line-level citations, and document conversion with OCR.
evaluation-harness
Builds repeatable evaluation systems with golden datasets, scoring rubrics, pass/fail thresholds, and regression reports. Use for "LLM evaluation", "testing AI systems", "quality assurance", or "model benchmarking".
networkx
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
taste-eval
Evaluate creative work against explicit taste preferences. Use when drafting to align with project aesthetics, when reviewing to surface preference conflicts, or when generating voting options to reflect diverse tastes.
search-optimization
Guide on optimizing Bluera Knowledge search results through proper intent selection, detail level strategies, result limiting, and store filtering. Teaches when to use minimal vs contextual vs full detail, and how to choose the right search intent for different query types.
gemini-consultant
Get a second opinion from Gemini 3 Pro (gemini-3-pro-preview). Accepts text, code, and images as INPUT. Returns TEXT analysis, advice, and feedback. Use for code review, analyzing screenshots, UX feedback, debugging, architecture review, or web search.
hybrid-search-implementation
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
deep-research
This skill should be used when conducting comprehensive research on any topic using the OpenAI Deep Research API. It automates prompt enhancement through interactive clarifying questions, saves research parameters, and executes deep research with web search capabilities. Use when the user asks for in-depth analysis, investigation, research summaries, or topic exploration.
technical-research
Explore ideas, validate concepts, and research broadly across technical, business, and market domains. Use when: (1) User has a new idea to explore, (2) Need to research a topic deeply, (3) Validating feasibility - technical, business, or market, (4) Learning and exploration without necessarily building anything, (5) User says 'research this' or 'explore this idea', (6) Brain dumping early thoughts before formal discussion. Creates research documents in docs/workflow/research/ that may feed into discussion or specification.
science-skill-creator
Guide for creating effective skills for fundamental physics research. 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 scientific knowledge, research workflows, or physics tool integrations.
customize-measurement
Customize AI proficiency measurement for your specific repository through a guided interview. Use when: setting up measure-ai-proficiency for a new repo, adjusting thresholds for your team's size, hiding irrelevant recommendations, or mapping custom file names to standard patterns.
