Skills

Configure this repo for the engineering skills — set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.

Move issues and external PRs through a state machine of triage roles — categorise, verify, grill if needed, and write agent-ready briefs.

wait-what is an AI agent tool designed to request clarification and rephrase messages to ensure clear communication and understanding.

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

An AI tool that organizes and shapes raw textual material into a structured article, paragraph by paragraph, facilitating content creation and presentation.

An AI tool that assists users in exploring and collecting unstructured writing fragments to aid creative writing and idea development.

Wire dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through its entry-point files. User-invoked.

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

Implement a piece of work based on a spec or set of tickets.

A tool designed to facilitate the structured writing and editing of agent-related documents and skills for AI agents, focusing on clarity, modularity, and efficient context handling.

An interactive, stateful workspace designed to teach users new skills or concepts through structured lessons, resources, and learning records.

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

A tool that automates setting up Husky pre-commit hooks with lint-staged, Prettier formatting, type checking, and tests in a code repository.

A developer tool for migrating TypeScript test files to use type-safe partial data assertions with @total-typescript/shoehorn instead of unsafe 'as' type assertions.

An AI tool that automates the creation of targeted questionnaires to gather information from others in order to aid decision-making.

Hand the current conversation off to a fresh background agent that picks up the work immediately.

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

Writing, exploit — assemble raw material into a journey of beats, grounding each term before a beat leans on it.

An AI tool that rigorously questions and evaluates plans or decisions by constructing and exploring a branching design tree of user decisions to achieve thorough understanding and stress-test thinking.

Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

Compact the current conversation into a handoff document for another agent to pick up.

Ask which skill or flow fits your situation. A router over the skills in this repo.

Grill me about specs for the workflows I want to build, within this workspace.

Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.

Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.

Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker — edges as text in one file per ticket locally, or native blocking links on a real tracker.

A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.

A git safety tool that sets up hooks to block dangerous git commands before they execute, preventing destructive operations in code repositories.

Plan a huge chunk of work — more than one agent session can hold — as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.

An AI tool designed to conduct rigorous interview-style sessions to refine plans or designs.

Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.

When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this,"...

find-skills helps users discover and install modular agent skills to extend functionality based on specific tasks or domains.

An AI tool that leverages frontend coding skills to create beautiful web-based slides.

Reconcile accounts by comparing GL balances to subledgers, bank statements, or third-party data. Use when performing bank reconciliations, GL-to-subledger recs, intercompany reconciliations, or identifying and categorizing reconciling items.

A developer tool highlighting an issue with unclosed frontmatter syntax in skill files.

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飞书会议纪要（Note）直查：已知 note_id 时查询纪要详情、展示类型、关联文档 token，并读取 unified 原始逐字记录。当用户已持有 note_id，或从文档显式 vc-node-id 获得 note_id 时使用。不负责会议/日程/妙记定位、文档标题搜索或 Docx 正文读取。

飞书考勤打卡：查询自己的考勤打卡记录

飞书多维表格（Base）操作：建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、workflow、角色权限；遇到 Base/多维表格/bitable 或 /base/ 链接时使用。文件导入/导出转 lark-drive，认证/授权转 lark-shared。

Bad Skill is an incomplete AI agent tool missing essential fields such as name and description.

This is a properly formatted skill.

No Frontmatter Skill is a developer tool that identifies the absence of YAML frontmatter in a skill configuration.

lark-demo is a demonstration skill designed for use with development tools to interact with APIs and messaging.

Lark/Feishu real-time event listening / subscribing / consuming: stream events as NDJSON via `lark-cli event consume ` (covers IM messages/reactions/chat changes, Approval status changes, Task updates, VC meeting started/joined/ended, Minutes generated, Whiteboard updated, etc.). Use for Lark bots, real-time message processing, long-running subscribers, streaming webhook/push handlers. Supports `--max-events` / `--timeout` bounded runs and a stderr ready-marker contract — designed for AI agents

Minimal valid description