Papers

Systematic debugging with hypothesis-driven investigation. Use when something is broken, tests are failing, unexpected behavior occurs, or errors need investigation. Triggers on: "this is broken", "debug", "why is this failing", "unexpected error", "not working", "bug", "fix this issue", "investigate", "tests failing", "trace the error", "use debug mode". Full access mode - can run commands, add logging, and fix issues.

Professional LaTeX document generation for papers, reports, books, and presentations. Multi-agent orchestration via claude-flow. Use UK English spelling throughout.

[CLAUDE CODE ONLY] Leverage Codex CLI for AI peer review, second opinions on architecture and design decisions, cross-validation of implementations, security analysis, and alternative approach generation. Requires terminal access to execute Codex CLI commands. Use when making high-stakes decisions, reviewing complex architecture, or when explicitly requested for a second AI perspective. Must be explicitly invoked using skill syntax.

Guide when to use built-in tools (WebFetch, WebSearch) and MCP servers (Parallel Search, Perplexity, Context7) for research. Synthesize findings into narrative for braindump. Use when gathering data, examples, or citations for blog posts.

Parse and document algorithm pseudocode from research papers. Use when preparing for implementation.

Research-driven essay and post creation with thematic synthesis, citation management, and voice calibration. Use when creating Substack/LinkedIn posts, long-form essays synthesizing multiple sources, or publication-grade writing requiring web search, narrative arc, and proper attribution. Triggers include "research and write about [topic]" or "dig into this idea and write."

고객 여정 분석과 고객 경험 조사 데이터를 기반으로 핵심 문제 가설과 근본원인을 도출하고, 문제검증 인터뷰를 통해 문제가설을 검증 합니다. 그리고 비즈니스 가치를 도출합니다.

Use when synthesizing information from multiple sources (literature review, stakeholder feedback, research findings, data from different systems), creating or evaluating analogies for explanation or problem-solving (cross-domain transfer, "X is like Y", structural mapping), combining conflicting viewpoints into unified framework, identifying patterns across disparate sources, finding creative solutions by transferring principles from one domain to another, testing whether analogies hold (surface vs deep similarities), or when user mentions "synthesize", "combine sources", "analogy", "like", "similar to", "transfer from", "integrate findings", "what's it analogous to".

Advanced defect eradication with hypothesis-driven RCA, guarded fixes, and comprehensive validation.

Hashnode GraphQL API documentation for creating, managing, and querying blogs, posts, publications, and user data on the Hashnode platform

Use when facing decisions with multiple legitimate perspectives and inherent tensions. Invoke when stakeholders have competing priorities (growth vs. sustainability, speed vs. quality, innovation vs. risk), need to pressure-test ideas from different angles before committing, exploring tradeoffs between incompatible values, synthesizing conflicting expert opinions into coherent strategy, or surfacing assumptions that single-viewpoint analysis would miss.

[CLAUDE CODE ONLY] Leverage Gemini CLI for AI peer review, second opinions on architecture and design decisions, cross-validation of implementations, security analysis, alternative approaches, and holistic codebase analysis. Requires terminal access to execute Gemini CLI commands. Use when making high-stakes decisions, reviewing complex architecture, analyzing large codebases (1M token context window), or when explicitly requested for a second AI perspective. Must be explicitly invoked using skill syntax.

Prepare research outputs for publication with compliance to venue rules, evidence integrity, and confidence ceilings.

Analyze ML model architecture from papers and code. Use when understanding model structure for implementation.

Use when debates are trapped in false dichotomies, polarized positions need charitable interpretation, tradeoffs are obscured by binary framing, synthesis beyond 'pick one side' is needed, or when users mention steelman arguments, thesis-antithesis-synthesis, Hegelian dialectic, third way solutions, or resolving seemingly opposed principles.

Identify and document model hyperparameters from papers. Use when setting up training configurations.

Use when testing ideas cheaply before building (pretotyping with fake doors, concierge MVPs, paper prototypes) to validate desirability/feasibility, choosing appropriate prototype fidelity (paper/clickable/coded), running experiments to test assumptions (demand, pricing, workflow), or when user mentions prototype, MVP, fake door test, concierge, Wizard of Oz, landing page test, smoke test, or asks "how can we validate this idea before building?".

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions

Parse and interpret mathematical equations from research papers. Use when extracting formulas for implementation.

Use when reviewing any scientific document for logical clarity, argument soundness, and scientific rigor. Invoke when user mentions check clarity, review logic, scientific soundness, hypothesis-data alignment, claims vs evidence, or needs a cross-cutting scientific logic review independent of document type.