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Guides selection of identity, reasoning, and output approaches for Claude prompts based on task characteristics. Trigger on: "help me choose an approach," "which approach fits this task," "recommend a prompt pattern," "compare reasoning methods," "map this task to the right approach," "what combination of approaches," "which identity fits," "which reasoning method." Also trigger on symptom-phrased: "my prompt feels generic," "I don't know which approach to use," "my output lacks domain depth." Covers decision-tree logic across 8 identity approaches, 18 reasoning variants, and 10 output formats. After selection, use the relevant catalog skill if available to retrieve full templates. Activate whenever approach-selection across multiple categories is the primary decision. Do NOT use when the user already names a specific approach to retrieve (use the relevant catalog skill directly if available) or for evaluating existing prompts (use rootnode-prompt-validation if available).

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Tested reasoning approaches for Claude prompts — 18 variants across 6 categories (Analytical, Strategic, Creative, Technical, Research, Comparative). Use when the user wants a specific reasoning template — retrieving, reviewing, customizing, or combining reasoning instructions for a prompt. Trigger on: "give me the Root Cause Diagnosis approach," "show me the reasoning template for," "I need the Evidence Synthesis method," "show me analytical reasoning options," "combine reasoning approaches for," "show me all reasoning variants." Also use when a prompt produces shallow output and the fix is a reasoning upgrade. Provides 18 tested approaches for analytical, strategic, creative, technical, research, and comparison tasks. If the user is unsure which reasoning method fits, use rootnode-block-selection first if available. Do NOT use for evaluating existing prompts — use rootnode-prompt-validation if available. Do NOT use for project-level audits — use rootnode-project-audit if available.

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Audits Claude Code repositories. Two-phase workflow — Phase 1 sweeps 14 hygiene categories (permissions, hooks, CLAUDE.md bloat, Skills hygiene, process-abstraction, plus structural) and an optional 7-layer leak check. Phase 2 executes [APPROVED] markers from the report file. Use for repo cleanup, pre-distribution sanity, post-feature hygiene, environment audit, process-abstraction discovery. Trigger on "audit my CC repo," "sweep my repository for hygiene," "check this CC environment," "find process abstraction candidates," "review my CLAUDE.md," "clean up my .claude directory," "pre-distribution hygiene check," "find layer leaks in my CC setup." Routes structural findings to rootnode-cc-design REMEDIATE. Composes with rootnode-critic-gate. CC-only — does not scan Claude Projects. Do NOT use for building a Skill (use rootnode-skill-builder), compiling a prompt (use rootnode-prompt-compilation), scoring a single prompt (use rootnode-prompt-validation), or auditing a Project (use rootnode-project-audit).

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Generates a structured Project Brief — a comprehensive markdown document that extracts goals, architecture, knowledge file inventory, Custom Instructions summary, Memory contents, current state, ecosystem position, and key decisions from a Claude Project. Briefs serve as uploadable context documents: add one to any other Project for immediate deep awareness of the source Project's purpose, architecture, and progress. Use when user says "create a brief," "brief this project," "extract project context," "generate a project summary for another project," "I need to share this project's context," "prepare this project for cross-project reference," or "document this project." Also use when the user is preparing to work across Projects and needs portable context. Do NOT use for session handoffs, project audits, or Memory optimization (use rootnode-session-handoff, rootnode-project-audit, or rootnode-memory-optimization respectively, if available).

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Self-configuring content creation pipeline with geo-lint validation. On first use, scans your project to learn its framework, content schema, categories, and authors, then creates SEO & GEO-optimized content matched to your brand voice. Validates every piece with geo-lint's 92 rules until zero violations. Triggers on: "content-creator", "create content", "write blog", "new post", "content calendar", "brand voice", "content strategy".

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Write disciplined Behavior-Driven Development specs and tests with Gherkin / Cucumber. Use whenever the user mentions BDD, Gherkin, Cucumber, .feature files, Given/When/Then, scenarios, Scenario Outline, Background, step definitions, acceptance criteria, executable specifications, living documentation, the Three Amigos, or Example Mapping. Also trigger when the user asks to "write tests in plain English", convert acceptance criteria into tests, design step definitions, refactor an imperative or UI-coupled feature file, or wire up BDD with Vitest (unit/component) or Playwright (end-to-end). Do NOT use for pure unit tests with no business-readable contract, pure performance/load tests, or generic test-framework questions unrelated to behavior specs.

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Image generation skill using Gemini Web. Generates images from text prompts via Google Gemini. Also supports text generation. Use as the image generation backend for other skills like cover-image, xhs-images, article-illustrator.

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Analyzes research papers (PDF/arXiv URL) and converts them into executable code. Automatically activated upon requests for paper replication, algorithm implementation, or research reproduction. Responds to requests like "Implement this paper", "paper2code", "Convert paper to code".

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Use when the user wants to search TR Dizin (trdizin.gov.tr — TÜBİTAK ULAKBİM national academic index) for publications, journals, authors, or institutions; do field-scoped advanced search (title/author/abstract/journal/doi/year/…); apply facet filters (access type, year, language, subject, document type); read a publication's references; or extract a publication PDF as text. Uses the open public JSON API over plain HTTPS — no login, no CAPTCHA, no API key.

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Backend conventions and patterns. Use when working on API routes, dependency injection, or hexagonal architecture in the backend.

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Generalised autonomous optimisation loop — soft RLVR for any artifact a user can measure. Web runtime package: uses memory in this order: connector-backed, project-pack, none. Never assumes subprocess access or unrestricted local files. Use this skill whenever a user wants to iteratively improve an artifact — code, prompts, documents, configs, designs, content — by running structured experiments, evaluating results against a multi-dimensional rubric, and learning from each attempt. Triggers include: "optimise this", "keep improving until it's good", "run experiments on", "autoresearch", "iterate on this overnight", "try different approaches and pick the best", or any request implying repeated evaluate-and-improve cycles.

日本語の概要は準備中です。原文の説明を表示しています。

Generalised autonomous optimisation loop — soft RLVR for any artifact a user can measure. Use this skill whenever a user wants to iteratively improve an artifact — code, prompts, documents, configs, designs, content — by running structured experiments, evaluating results against a multi-dimensional rubric, and learning from each attempt. Triggers include: "optimise this", "keep improving until it's good", "run experiments on", "autoresearch", "iterate on this overnight", "try different approaches and pick the best", or any request implying repeated evaluate-and-improve cycles. Also use when the user wants to improve a system prompt, a data pipeline, a writing style, or any artifact where quality can be decomposed into measurable tracks. For inference optimisation tasks (model latency, throughput, quantization, GPU deployment), a* delegates the low-level tuning to AITune while maintaining quality tracking and learning.

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Create polished, code-driven Remotion motion explainers from scripts, narration, subtitles, product specifications, reference videos, UI recordings, diagrams, or abstract concepts. Use for product launches, AI demonstrations, UI interactions, algorithms, scientific principles, electrical systems, data flows, architecture, charts, equations, and concepts best expressed with React, SVG, Canvas, WebGL, or Three.js. Prioritize continuous spatial logic, visible cause and effect, precise interaction states, editable parameters, deterministic rendering, and evidence-backed visual QA.

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Find the route to guaranteed failure, negate it. Use when a goal keeps not being reached head-on.

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**雨哥（雨哥聊海外销售）出品**的海外销售公司背调与市场调研助手 —— 雨哥海外销售方法论金字塔「第 5 层 · 市场经营」的 AI Skill 化产物。基于「五看六定」经典市场分析框架（华为原版 + 雨哥改造版），输出标准化的市场调研报告，适用于客户拜访前调研、代理商签约前尽调、竞品季度跟踪、新市场进入决策、年度战略规划、面试求职准备等多种海外销售工作场景。 作者：雨哥 · 13 年海外销售实战 · 曾任普渡机器人亚太区负责人（年营收破亿 · 团队 5→50 人）· 海外销售培训头部 IP（累计付费客户 130+）。 触发方式：当用户说"帮我调研 XX 公司""做一下 XX 公司的背调""XX 公司的市场调研""调研 XX 在欧洲/北美/东南亚的市场""XX 公司客户拜访准备""XX 代理商尽调"时使用。 也在用户提到公司名 + 关键词（"调研""背调""尽调""市场分析""客户拜访""代理商谈判""竞品分析""go-to-market""GTM""面试""五看六定"）时主动触发。 This skill should be used proactively when a company research request is detected.

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Use when a B2B SaaS product needs upstream positioning or messaging clarity — defining who it's for, the category, competitive alternatives, differentiation, value props, strategic narrative, or a messaging hierarchy. Triggers include "my messaging isn't working," "we sound like everyone else," repositioning, or auditing an existing positioning doc. Use before homepage, deck, or sales-narrative work. Not for writing the final copy (use copywriter-skill) or running the sales process (use sales-skill).

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Use when the user wants to get found in Google or AI engines (ChatGPT, Perplexity, AI Overviews) — keyword and content strategy, technical or content SEO audits, schema markup, link building, topical clustering, E-E-A-T, AI citation (AEO), or deciding whether SEO is even the right channel for their startup. Calibrated for early-stage, low-authority sites. Not for paid acquisition or channel-mix/CAC analysis (use channel-expert), or writing the page copy itself (use copywriter-skill).

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Use when the user is working a B2B SaaS deal from qualified opportunity to closed-won — preparing discovery calls, structuring demos or POCs, handling a specific objection, qualifying with MEDDIC/MEDDPICC/SPICED, building mutual action plans, navigating negotiation or procurement, or reviewing pipeline health, forecast accuracy, and deal velocity. Not for finding or prospecting new leads (use prospecting) or upstream positioning (use product-position).

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Use when a non-designer needs to audit a UI, generate a design spec (spacing, type scale, color tokens, grids), or build brand foundations (logo systems, palette and type pairing, brand guidelines). Covers the visual layer, UX/perceptual critique, and brand identity. For implementing the design in code (React/HTML/CSS), use frontend-design.

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Comprehensive primary skill for agents working with Weights & Biases. Covers both the W&B SDK (training runs, metrics, artifacts, sweeps) and the Weave SDK (GenAI traces, evaluations, scorers). Includes helper libraries, gotcha tables, and data analysis patterns. Use this skill whenever the user asks about W&B runs, Weave traces, evaluations, training metrics, loss curves, model comparisons, or any Weights & Biases data — even if they don't say "W&B" explicitly.

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Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, FK replacement code generation, OCC retry patterns, ORM migration (Django/Hibernate/Rails), DDL operations, query plan explainability, SQL compatibility validation, and bulk data loading. Triggers on phrases like: DSQL, Aurora DSQL, distributed SQL database, serverless PostgreSQL-compatible database, migrate to DSQL, DSQL query plan, DSQL EXPLAIN ANALYZE, DSQL ENUM, DSQL foreign key, DSQL OCC retry, DSQL multi-region, DSQL JSONB, DSQL GIN index, load into DSQL, load CSV into DSQL, bulk load DSQL, aurora-dsql-loader.

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ES — Critica a fondo una idea, plan, pitch o proyecto entero sin validar ni adular: asume que va a fracasar y lo demuestra por ocho ángulos (premisas, mercado, competencia, viabilidad, números, ejecución, pre-mortem y punto ciego), investiga fracasos reales cuando hay herramientas, y entrega un veredicto franco con la lista priorizada de qué arreglar. Activar con /abogado-del-diablo, "hazme pedazos esto", "critica mi idea sin filtros", "dime por qué va a fallar", "destruye este plan", "segunda opinión brutal", "pre-mortem". EN — Harshly critiques an idea, plan, pitch, or whole project without validating; assumes it will fail and proves it across eight angles, then returns a blunt verdict with a prioritized fix list. Trigger on "devil's advocate", "red team this", "tear this apart", "why will this fail", "brutal second opinion", "pre-mortem".

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Apply the Minimum Sufficient Language (MSL) principle through the MSL Kernel to write anything a reader must act on. Bind the reader and what they already know, partition facts from the machinery that produced them, emit each admitted fact as an action, a verification, a judgment, or a state, and stop when every claim is checkable and the reader can act. Use for status updates, work-in-progress reports to your own user, closeout and convergence comments, tickets, pull request and review write-ups, incident and postmortem notes, emails, memos, and any draft for readers outside the work. Also use when the user says MSL, Minimum Sufficient Language, write this for stakeholders, drop the jargon, make this readable, or asks for a paste-ready draft.

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Use when a C or C++ build uses GCC and needs build-mode flags, warning triage, debug info, LTO, PGO, or a compilation error explained. Not for Clang-only diagnostics: use clang.

日本語の概要は準備中です。原文の説明を表示しています。