「existing」の検索結果

Architectural thinking partner for an existing repository — scans the codebase, conducts a structured interview, agrees on current architectural state and recommended direction, and produces a shareable insights document. Scoped to one repository, module, or folder. Does not execute transformation — it orients. Use when the user says 'assess my codebase architecture', 'what direction should my codebase go', 'architecture compass', 'understand my architecture', 'audit architecture drift', 'architectural assessment', or 'help me understand what is wrong with my codebase'.

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。

Manage per-feature living documents that capture decisions, constraints, and reasoning across AI sessions during active development. Scoped to feature-level work — design, implementation, bugfix, refactor — not for codebase-wide assessments or product-wide specifications (those define their own document lifecycles). Handles creating new context documents, loading existing ones, and enriching them with new decisions. Use when starting a new feature, resuming work, making technical decisions, resolving questions, or when context needs to persist across sessions. Use this skill whenever the user mentions 'load context', 'update context', 'context doc', 'decisions', 'continue where we left off', 'what did we decide', or 'capture this decision'.

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。

Run a complete design workflow -- from establishing context through four progressive design levels (Capabilities, Components, Interactions, Contracts) to an approved blueprint. Composes knowledge-priming, context-anchoring, learning-harvest, collaborative-judgment, design-first, architecture, and domain-driven-design into one process. Handles both new features (create context doc) and resuming existing work (load context doc). Level 5 (Implementation) is delegated to code-forge. Use when starting a design, planning architecture, or when the user says 'design a feature', 'blueprint', 'start designing', 'plan the architecture', or 'let's design before coding'.

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。

Apply requirement quality principles when generating or validating feature specifications. Enforces feature completeness, scenario structure, AC verifiability, feature independence, and implementation slice quality. Use when writing feature specs, validating existing requirements, or when the user mentions 'validate this spec', 'check this feature', 'requirement quality', 'is this spec complete', or 'requirement-quality'. This skill governs the craft of writing individual feature specifications — not technical design (see design-blueprint), not implementation (see code-forge).

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。

Update existing Lattice standards after a significant change — the update-mode counterpart to lattice-init. Scans .lattice/standards/, asks what changed, and routes each affected standard to its refiner's revise mode, recording a git-native change note. Use when the user says 'update refiners', 'refiners update', 'our standards changed', 'update our standards', 'the architecture changed, update the standards', 'we switched languages, update the standards', 'revise standards after a big change', or 're-run the refiners'.

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。

Restructure existing code safely without changing externally observable behavior. Composes context, design, architecture, code quality, and testing guardrails into a characterization-first refactoring workflow. Use when the user says 'refactor this', 'clean this up', 'untangle this module', 'move this to the right layer', 'simplify this code', or 'improve this structure'.

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。

Full enhancement pipeline for an existing Lattice skill — rewrites a molecule or atom to modern-capable-model grade: restores degraded grammar, deduplicates, hardens gates and branching to one-unambiguous-action precision, verifies zero behavioral loss against a pre-capture diff, then runs the combined QA gate (skill-review, skill-tighten, skill-validate) and an independent fresh-context verifier, fixing everything found. Consumer-first: optimized for first-time open-source users on fresh repos with minimal .lattice/ setup, running capable models. Use when the user says 'enhance this skill', 'upgrade this molecule', 'modernize this skill', 'optimize this skill', 'make this skill production grade', 'full enhancement', 'polish this molecule like design-blueprint', or names a molecule/atom to overhaul. For gap-finding only use skill-review; for conventions only use skill-validate — this skill runs the whole loop end to end.

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 this skill when an agent needs production image or video understanding with Amazon Rekognition: labels, objects, scenes, OCR, moderation, image properties, Custom Labels or moderation adapters, stored-video analysis, conditional streaming-video workflows for existing eligible accounts, searchable media libraries, confidence evaluation, S3/IAM/event architecture, privacy, biometric consent, cost control, lifecycle management, and QA.

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。

Production guidance for Kling AI Open Platform Advanced Lip-Sync. Use for identifying/selecting one face in an existing video, assigning URL/Base64 or Kling TTS audio, cropping and inserting audio in milliseconds, mixing original sound, creating and monitoring tasks, downloading expiring results, consent/privacy review, sync QA, and repair. Do not use for still-image avatar generation or ordinary Kling video generation.

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。

Produce 3D assets with Meshy (meshy.ai) through its REST API and web platform — text-to-3D, image-to-3D, multi-image-to-3D, AI texturing/PBR, remesh/topology control, UV, and auto-rigging/animation. Use this skill when an agent must generate a mesh from a prompt or reference image, control polygon count and topology, apply or restyle textures, rig a humanoid for animation, export to GLB/FBX/OBJ/USDZ/STL for Unity/Unreal/Blender, drive Meshy's asynchronous job API (auth, polling, streaming, webhooks, credits, rate limits), review generated meshes for game/film/print readiness, or decide whether Meshy is the right tool at all. Not for editing an existing hand-modeled asset's geometry, hard-surface CAD with exact dimensions, or guaranteed-watertight manufacturing parts.

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。

Produce full-length audiobooks and long-form narration with generative voice tools. Use when the task is to turn a manuscript or long text into hours of spoken audio: preparing the manuscript for narration (front/back matter, footnotes, tables, dialogue), casting a single narrator or full cast, controlling pronunciation and voice consistency across a whole book, running a proofing/QC listen, meeting a retailer's technical delivery specs (RMS, peak, noise floor, room tone, chapterized files, metadata), and choosing a distribution route under each platform's current AI-narration policy. Not for short TTS clips, single-line voiceover, podcast production, or captioning existing video.

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。

Plan, implement, or review verification before completion work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests verification before completion work.

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。

Plan, implement, or review writing plans work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests writing plans work.

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。

Plan, implement, or review vector index tuning work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests vector index tuning work.

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。

Plan, implement, or review vs code extension localization work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests vs code extension localization work.

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。

Plan, implement, or review systematic debugging work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests systematic debugging work.

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。

Plan, implement, or review nuget manager work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests nuget manager work.

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。

Plan, implement, or review similarity search patterns work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests similarity search patterns work.

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。

Plan, implement, or review refactor work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests refactor work.

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。

Plan, implement, or review spec driven development work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests spec driven development work.

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。

Plan, implement, or review observability and instrumentation work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests observability and instrumentation work.

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。

Plan, implement, or review prometheus configuration work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests prometheus configuration work.

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。

Plan, implement, or review test driven development work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests test driven development work.

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。

Plan, implement, or review turborepo work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests turborepo work.

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。