「codebase」の検索結果

Universal SDLC pipeline orchestrator with stack provider auto-discovery. Reads stack.md profiles from installed plugins, picks the highest-priority match, executes a 5-phase pipeline (BA → Dev → QA → Sec → Docs) plus stack-defined extra phases. Use when: - User invokes /sdlc:start "<feature>" - User asks to "run the SDLC pipeline" or "go through the full pipeline" - You need to coordinate specialist agents to deliver a complete feature Do NOT use for: - Trivial single-file edits (just edit directly) - Read-only questions about the codebase - Casual conversation

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。

Shared conventions for every SDLC development-phase architect agent: hard rules, code quality bar, workflow steps (superpowers invocation, spec reading, codebase exploration, verification), and the report/compact-summary contract. Architects load this skill first, then apply their stack-specific instructions on top.

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。

Use when the user wants to be walked through code, not handed a report: "walk through this", "guided code walk", or "explain this codebase". Not for tasks that require source or remote-system changes.

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。

Use when making an architectural decision, changing a public API, shipping a feature, or recording a codebase term. Not for domain language: use domain-modeling. Not for docs: use docs-writing.

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。

Use when an answer is wanted from one named seat only: breaking, business, career, codebase, human, impact, innovation, moat, rent-seeking, skeptic, or stability. Not for multi-lens synthesis: use prism. Not for rebuilding from primitives: use from-first-principle.

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。

Use when asked to audit typography across a codebase. Produces a file:line report with concrete fixes ordered by impact and flags unverifiable rules. Not for building a type system or token scale.

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。

Use when a proof needs Rocq (formerly Coq), including legacy Coq codebase maintenance and migration through the Coq to Rocq rename. Not for Lean 4: use writing-lean-proofs.

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。

Use when non-trivial code needs a design, codebase design or architecture needs improving, or one module needs targeted interface narrowing, seams, or testability. Not for diagrams, deploy, or irreversible changes.

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。

Use when the user says greenfield this or rescue this codebase, names a field (dark, red, blue, or brown), or diagnoses a subsystem. Not for specs: use to-spec. Not for remote or irreversible changes.

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。

Use when the user asks to simplify, clean, or refine code. Not for new abstractions or whole-codebase refactors.

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。

Use when asked to explore the codebase to map structure, symbols, and dependencies. Not for a single file under 50 LOC: read it directly.

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。

Use when the user says deslop, debloat, tidy, simplify, clean a diff, cleanup codebase, or deslop branch diff, or remove dead code or config. Not for remote, credential, publish, deploy, or irreversible changes.

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。

Self-improve AI Factory skills based on project context, accumulated patches, and codebase patterns. Analyzes what went wrong, what works, and enhances skills to prevent future issues. Use when you want to make AI smarter for your project.

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。

Refine an existing implementation plan with a second iteration. Re-analyzes the codebase for gaps, missing tasks, and wrong dependencies. Use after $aif-plan or to improve an $aif-fix plan. Optional +check flag validates refinements via a fresh-context subagent.

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。

Refine an existing implementation plan with a second iteration. Re-analyzes the codebase for gaps, missing tasks, and wrong dependencies. Use after $aif-plan or to improve an $aif-fix plan. Optional +check flag validates refinements via a fresh-context subagent.

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。

Self-improve AI Factory skills based on project context, accumulated patches, and codebase patterns. Analyzes what went wrong, what works, and enhances skills to prevent future issues. Use when you want to make AI smarter for your project.

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。

Refine an existing implementation plan with a second iteration. Re-analyzes the codebase for gaps, missing tasks, and wrong dependencies. Use after /aif-plan or to improve an /aif-fix plan. Optional +check flag validates refinements via a fresh-context subagent.

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。

Create or redesign product UI in an existing codebase, including a wireframe, substantive visual variations, and an interactive prototype. Use for requests about UI layout, visual direction, screens, flows, components, a landing page, dashboard, or making an interface feel polished. Do not use for backend work, system architecture, decks, or logic-only UI fixes.

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。

Use the trackcn CLI to sync files, directories, commits, pull requests, and agent skills from GitHub into a codebase while preserving local edits. Read this before running trackcn commands or modifying trackcn-managed files.

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。

Go code refactoring with automated tools: gofmt -r, gopatch, and rsc.io/rf. Use this skill when performing mechanical rewrites across a codebase — renaming identifiers, migrating API calls, moving types between packages, rewriting expressions, or replacing deprecated patterns. Triggers when the task involves bulk code transformation, API migration, structural rewrite, or the user mentions gofmt -r, rf, gopatch, coccinelle-style patching, or large-scale rename/move in Go.

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。

Use `graphify-dotnet` to generate codebase knowledge graphs, architecture snapshots, and exportable repository maps from .NET or polyglot source trees, with optional AI-enriched semantic relationships.

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。

Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"

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。

Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: "How does X work?", "What calls this function?", "Show me the auth flow"

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。

Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools.

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。