Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
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。
Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Project initialization that combines online research, archetype selection, template customization, and decision documentation into one workflow. Use this skill when the architecture is undecided and the choice deserves justification.
Use instead of project-init when architecture is undecided.
Use before project-specification to establish the
architectural foundation.
arch-init:research-completed: Online research completedarch-init:paradigm-selected: Architecture paradigm chosenarch-init:templates-customized: Templates adapted to paradigmarch-init:decision-recorded: ADR createdLoad modules/research-flow.md for the full project-context
questionnaire and the three-tier search strategy. Output: a
synthesis brief that feeds Step 3.
Load modules/paradigm-selection.md for the decision matrix
(team size by domain complexity) and the special-case overrides
(streaming, serverless, microkernel, etc.). Two routes:
archetypes:architecture-paradigms skill for guided
exploration.Load modules/scaffold-generation.md for the paradigm-specific
directory layouts (Functional Core / Hexagonal / Microservices
shown; others delegated to the corresponding
archetypes:architecture-paradigm-{name} skill) and the ADR
template.
After completing the workflow, the project has:
The interactive workflow above is the default. For automation,
load modules/script-integration.md for the three Python
helpers under plugins/attune/scripts/ (architecture researcher,
template customizer, full interactive flow) and library-style
import examples.
This skill enhances /attune:project-init by adding an
architecture-selection phase before scaffolding:
# Standard initialization (no architecture decision)
/attune:project-init --lang python --name my-project
# Architecture-aware initialization
/attune:brainstorm # Explore project needs
Skill(architecture-aware-init) # Select architecture
/attune:project-init --arch <paradigm> --name my-project
User: "I'm creating a Python web API for a fintech application. Team of 8 developers, complex business rules, need high security and audit trails."
Result: project initialized with paradigm-appropriate structure and clear decision rationale.
Skill(archetypes:architecture-paradigms): paradigm catalogSkill(archetypes:architecture-paradigm-*): per-paradigm
implementation guidanceSkill(attune:project-brainstorming): ideation before
architectureSkill(attune:project-specification): requirements after
the paradigm is chosen/attune:project-init: basic project initialization/attune:blueprint: architecture planning after paradigm
selectionplugins/archetypes/README.md: full paradigm referencearch-init:research-completed, arch-init:paradigm-selected,
arch-init:templates-customized, arch-init:decision-recorded.archetypes:architecture-paradigm-* skill (verified by listing the created directories).research.json holds preferred and avoid
lists and was passed with --research-file; the recommendation's
rationale contains a rule naming "research"まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
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。
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
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。
Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
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。
Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
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。
Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
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。
Generates a Mermaid architecture diagram showing high-level component relationships. Use when visualizing how plugins or modules fit together.
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。