Explorar skills

Generate pragmatic CI/CD pipelines from detected project stack signals — fast baseline generation, repeatable checks, environment-aware deployment stages. Use when setting up CI for a new project, refactoring existing pipelines, or standardizing deployment workflows across multiple repos.

Coding doctrine for any task that creates, modifies, or refactors code in a programming language. Make sure to consult this skill whenever the user is about to write, edit, debug, or ship code, even if they don't explicitly ask for "best practices" — Claude's default of generating new code from scratch produces code no one can grep, copy, or ship next Friday, and this skill enforces a copy-paste-f

Stress-test a single non-trivial decision via CLAIM → EXTRACT → DOUBT → RECONCILE → STOP with `devrites-doubt-reviewer` for an independent take. Use when the user says "are we sure", "double-check this", "what could go wrong", or a boundary / data-model / auth / public-API / migration change is about to commit. Not for post-merge review or trivial choices.

根據 /domain-plan 產出的 skill map，自動搭建完整的 domain gstack repo。 Trigger: /domain-plan 完成後、用戶說「開始搭建」、「build」。 Do NOT use when: 還沒規劃 skill map（先用 /domain-plan）。 Do NOT use when: 要加單一 skill（用 /skill-gen）。 上游：/domain-plan（讀取 skill-map-*.md）。 下游：/skill-check pack（Wave 2）。Wave 1 內建輕量 pack health 替代。 產出：完整的 domain gstack repo。

A helpful code formatting skill that cleans up your project files. Use when you want to tidy up code style.

/cs:cto-review <plan> — Architecture and scaling interrogation. Tech debt, scaling cliffs, team scaling, build-vs-buy.

CRE Industrial analysis suite - 8 specialist skills for U.S. industrial acquisitions, covering market study, lease roster analysis, lease abstraction, tenant credit, physical inspection, underwriting, financing fit, and investment committee memo writing.

Use when answering technical questions about a codebase - reading and analyzing project files to provide comprehensive, accurate guidance without modifying any files. Triggered by "explain", "how does X work", "why does X happen", or any question about code behavior or architecture.

Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.

Use esta skill para consultar dados com Cassis (que fundamenta a pergunta na ontologia do projeto do usuário e retorna SQL, um plano para aprovar ou uma lacuna de ontologia para esclarecer) e Snowflake (que executa o SQL).

Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.

Kill airc processes belonging to THIS scope (this AIRC_HOME), free its port. Scope-aware — never touches other tabs' sessions. Add --flush to also wipe state.