「artifact」の検索結果

Which agent a dh workflow dispatches, and the artifact consumer invariant.

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Use when starting a new feature, gathering requirements for an unfamiliar domain, refining a vague idea into actionable scope, or when a user request is ambiguous or underspecified. Conducts SAM Stage 1 discovery — structured requirements gathering through user discussion, asking WHO/WHAT/WHEN/WHY and never HOW. Produces the ARTIFACT:DISCOVERY document containing feature requirements, NFRs, goals, anti-goals, references, and resolved questions. Supports backlog item self-initialization via a

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Reviews skill, agent, and plugin artifacts against their intended consumer's schema and runtime contract. Loaded by dh:code-reviewer for SKILL.md, agent definitions, or plugin manifests; checks discovery, frontmatter, triggers, tools, context cost, bundled references, and caller handoffs.

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Quantitative cost measurement for technical research — token injection costs, payload sizes, context window consumption, and file-level counts from actual repo files. Use when a technical-researcher orchestrator needs the cost dimension of adding or changing something: how many tokens will it inject, how big are the artifacts, what is the context window impact? This is NOT blast-radius analysis (which files break) — it covers size, tokens, and performance cost only.

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Gives the dh CLI command and the directory of dh's scripts, both resolved from this skill's own directory. Use before running a dh plan, backlog, artifact or dispatch command, or a script from dh's scripts directory, and when an mcp__plugin_dh_* server failed to connect.

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Use for architecture review, dependency graphs, coupling analysis, or circular dependency detection. Establishes project module namespaces and traces imports plus Claude plugin hook, skill, script, PEP 723, and MCP boundaries. Emits partitioned Mermaid graphs with cycle, coupling, and ownership signals; verifies contract and consequence before assigning severity. Registers diagrams as codebase-analysis artifacts.

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Transforms validated /linear-walkthrough artifacts into one presentation-ready deck outline per major codebase component. Use when the user asks to create a presentation, prepare a walkthrough deck, build an onboarding deck, produce an architecture review deck, or summarize a codebase for a technical audience. Requires walkthrough directory output -- reads unified walkthrough, per-section files, validation reports, coverage maps, entry points, and open questions -- then orchestrates four parallel agent phases to produce slide outlines with speaker notes, evidence references, and suggested visuals.

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Design, create, inspect, update, attach, detach, preview, execute, and verify reusable Vapi Structured Outputs through public API or Server SDK workflows. Use for post-call extraction, typed call artifacts, AI-versus-regex extraction, JSON Schema design, backfilling existing calls, or retrieving structured results programmatically.

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Use when an exact ChatGPT/Codex Plugin artifact has passed local package, brand, and listing gates and you need reviewer-ready submission evidence without confusing preparation, submission, approval, and publication states.

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Manage Alibaba Cloud Container Registry (ACR) Enterprise Edition using the @alicloud/cr20181201 TypeScript SDK. Use when working with container image registries on Alibaba Cloud, including instance management, namespaces, image repositories, image tags, build rules, image synchronization, security scanning, delivery chains, Helm charts, artifact lifecycle, and event notifications. Covers all 115 APIs of the CR 20181201 version.

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Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

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Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.

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Builds distinctive frontend UI with SvelteKit/Bun/Hono. Triggers on: web pages, dashboards, landing pages, apps, artifacts, styling, theming, fonts, animations, charts, dark/light modes.

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Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.

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Retrieve any YYLO Ledger Record by ID, discover PDRs and artifacts, and manage tasks and dependencies. Use for unknown record types, universal get/search, task operations, and source-of-truth boundaries.

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Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.

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Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.

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Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.

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Execute the implementation planning workflow using the plan template to generate design artifacts.

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Decompose work into stages with physical artifacts and acceptance checklists. Gap detector. Use when opening a WP ≥3h (open-loop/problem-framing) or on explicit request to break into stages. Executes R29 Decomposer role.

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Detect AI/LLM-generated text patterns in research writing. Use when: (1) Reviewing manuscript drafts before submission, (2) Pre-commit validation of documentation, (3) Quality assurance checks on research artifacts, (4) Ensuring natural academic writing style, (5) Tracking writing authenticity over time. Analyzes grammar perfection, sentence uniformity, paragraph structure, word frequency (AI-typical words like 'delve', 'leverage', 'robust'), punctuation patterns, and transition word overuse.

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Provides the "how-to" for workflow / task execution orchestration. Defines methods for planning multi-phase task/workflows, implementing them through agent delegation, and managing artifacts.

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Use when operating ProjectClownfish cluster workflows in this repo: reviewing GitHub Actions run artifacts, tuning worker/applicator guardrails, importing ghcrawl clusters, dispatching canaries, scaling batches, or deciding whether autonomous write-mode cluster cleanup is safe to ramp.

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Maintain AuthCrunch VERSION authority, versioned synchronization, patch/minor release commands, CI artifact identities, and GoReleaser publication. Use for version checks, release automation, or release preparation.

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。