CLI UX/spec: args, flags, help, output, errors, config, dry-run.

ClickClack ops: chat app, Cloudflare Workers deploy, DNS/docs/app, container rollout.

Use when creating or modifying OpenChamber Settings pages, dialogs, controls, configuration surfaces, responsive Settings layouts, or Settings search behavior.

Use when creating or modifying OpenChamber CLI commands, prompts, terminal output, non-TTY behavior, `--quiet`, or `--json` behavior.

Review or write docs/prose for Writing Guidelines compliance. Use when asked to "review my docs", "check writing style", "audit prose", "review docs voice and tone", "check this page against the writing handbook", or when writing/editing content under docs/src/content/docs/.

Query Axiom logs and datasets using APL (Axiom Processing Language). Use when investigating production errors, debugging webhook failures, checking log patterns, or analyzing system behavior.

Open Plannotator's browser-based code review UI for the current worktree or a pull request URL, then act on the feedback that comes back.

Log genuine, recurring repository friction to .agents/PAPERCUTS.md — confusing setup, a flaky repo command or script, a misleading in-repo error, stale generated files, or a non-obvious gotcha that will cost the next contributor time. Also use to review, deduplicate, and resolve existing entries. Gate hard before logging: only friction the repository itself can fix counts. Never log the agent's own sandbox/permission errors, shell-scripting mistakes, transient flakiness, or third-party tool quirks the repo can't change.

Read-only Google Drive sharing and permission audits with gog.

Search and download copyright-free images and video clips from Pixabay API. Alternative to pexels-footage when Pexels has no suitable results. Supports both photo search (--type image) and video search (--type video, default).

开展市场研究、竞品分析、投资人尽调、行业情报，附带来源标注和决策导向的摘要。 当用户需要市场规模估算、竞品对比、基金研究、技术扫描或支撑商业决策的研究时触发。

平台登录态管理。约定各平台登录流程（强制有头手动登录）、探活规则、中央 cookie+UA 存储路径约定。仅管 4 个平台（douyin/kuaishou/bilibili/xhs-browse）。

召唤多领域专家智能体，对任何棘手、跨学科、有争议或开放性的问题做并行深度分析，再经过一轮克制的事实核查与红队反驳，最后由一个"干净大脑"的终稿撰写者把所有内容无缝重写成一篇第一人称、面向小白、图文并茂、有人味、留有证伪空间的深度长文。触发条件：用户提出任何值得深挖的复杂问题，尤其是跨领域、需要多方视角、需要权威数据支撑的问题；提到"帮我深度分析"、"多专家视角"、"专家怎么看"、"这个问题涉及哪些领域"、"帮我搞清楚 XX 到底是怎么回事"、"用第一性原理分析一下"、"这个观点站得住脚吗"、"帮我论证一下"、"multi-expert-analyzer2"，或者只是抛出一个开放性问题如"为什么 XX 会发生"、"如何看待 XX 现象"、"XX 到底靠不靠谱"。即使用户没有明确说"专家"或"深度分析"这几个字，只要问题本身跨越多个专业领域、需要审慎论证而非泛泛而谈，也应使用本 skill。本 skill 与仓库中其他类似名称的技能（如 multi-expert-analyzer、multi-expert-analyzer1）相互独立，不共享模板或输出结构，请完全按照本文件的流程执行。

解读用户粘贴的 GitHub 每周 Trending 或开源项目榜单内容，基于用户提供的候选项目、项目 README、GitHub 项目页和 DeepWiki 生成适合公众号发布的 Markdown 文章，并输出到当前项目 markdown 目录。用于 GitHub 周榜解读、每周开源热点、热门开源项目分析、公众号开源项目推荐。

The Ginkgo mental model for writing Go tests — the one idea that explains everything (Ginkgo builds a spec tree at construction time, then runs it) and its consequences for how you write specs, plus spec independence and the node taxonomy. Use this first when you start working with Ginkgo in a project, or to decide how to approach a Ginkgo task. Routes to the other ginkgo:* skills.

Scan package manifests and lockfiles for outdated packages and known CVEs. Groups updates by risk (patch, minor, major). Use in dependency sweeper loops.

Write unit tests for OpenVINO ov::Model graph transformations (passes). Use when the user asks to write, add, or refactor tests for a transformation pass (MatcherPass, ModelPass), or to modernize legacy transformation tests.

Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to run interpretability experiments on massive models (70B+) without local GPU resources, or when working with any PyTorch architecture.

Performance patterns and gotchas for querying a Rerun catalog from Python. Reach for this when a CatalogClient/dataset query is unexpectedly slow, or when shaping a per-segment / per-episode pipeline that hits the catalog from many places.

Delegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities.