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Found 12 Skills
Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.
Use when the user is starting a new project or feature, or mentions "concept", "roadmap", "feature", "spec", "plan", "idea", or "what to build". Walks them through three plain-English phases — Concept (what & why) → Roadmap (the path) → Features (the work) — producing one-page markdown artifacts under `specdriven/` that anchor every later turn. Skip when the task is already small and well-scoped (a rename, a one-line bug fix).
SDD workflow: specs, designs, implementation plans, quality gates.
How to write Cavekit-quality kits that AI agents can consume effectively. Covers implementation-agnostic cavekit design, testable acceptance criteria, hierarchical structure, cross-referencing, cavekit templates, greenfield and rewrite patterns, cavekit compaction, and gap analysis. Trigger phrases: "write kits", "create kits", "cavekit this out", "define requirements for agents", "how to write kits for AI"
Reverse-engineer a SPEC document from an existing project. Analyzes code, config, tests, and structure to produce a comprehensive specification. Triggers on: code-to-spec, reverse spec, generate spec, 逆向规格, 生成规格文档, 生成设计文档, 生成设计方案, extract spec, document this project, what does this project do.
In-repo planning and specification system for software projects. Use when asked to "create a plan", "write a spec", "document a proposal", "blueprint a feature", or when doing architectural planning work.
Create a detailed execution plan for implementing features or refactors in a codebase by leveraging existing research in the specified `research` directory.
Loads the full ***plain language reference into context: syntax, section types (definitions, implementation reqs, test reqs, functional specs, acceptance tests), concept notation, frontmatter (import/requires/required_concepts/exported_concepts), templates, linked resources, module model, and authoring best practices. Use whenever authoring, editing, reviewing, or debugging .plain files, or before invoking any other skill that reads or writes .plain content.
Add an implementation requirement to the ***implementation reqs*** section of a ***plain spec file. Use when the user wants to add non-functional requirements like technology choices, architectural constraints, coding standards, data formats, error handling strategies, or any HOW-to-build guidance to a .plain file.
Break down a functional spec that is too complex into smaller specs that each imply ≤ 200 lines of code. Use when analyze-if-func-spec-too-complex flags a spec as TOO COMPLEX, or when a spec is suspected of being too large.
A 10-step methodology for building software with AI collaboration - from north star through automated Ralph loop execution with zero human-in-the-loop code writing
Run a structured discovery session to build an Allium specification through conversation. Use when the user wants to create a new spec from scratch, elicit or gather requirements, capture domain behaviour, specify a feature or system, define what a system should do, or is describing functionality and needs help shaping it into a specification.