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Apply consistent photo adjustments across a set of images so they look like they were edited together. Use this skill whenever the user says "make my photos look cohesive", "give all these the same style", "apply a warm and golden feel to all of these", "make this cinematic", "match the look across my photos", "edit all my travel photos the same way", "batch edit these", "make these consistent", "fix my phone photos", or uploads a folder of photos and wants a unified, polished result. Also triggers for requests like "apply a preset to all of these", "make these look professional", or "they were shot in mixed lighting — can you fix them all". Outputs direct final image URLs plus an in-chat preview grid and optional Firefly Board link. Access: 🔐 Signed-In required | Gen AI: ❌

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Comprehensive dimension analysis and reporting for CJA. Use this skill whenever the user wants to analyze one or more dimensions — including cardinality, distribution/skew, trends, anomalies, data quality errors, comparisons, and forecasting. Also trigger when someone asks "what are the top values for...", "dimension health", "explore this dimension", "dimension dashboard", "dimension statistics", "data quality check on a dimension", "dimension cardinality", "dimension trends", "dimension skew", "dimension anomalies", "compare dimensions", or any similar request to understand what's inside a CJA dimension. Produces an interactive HTML dashboard or a markdown report. Works with the CJA MCP server.

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Resize, crop, or export any image or video into platform-ready social media assets using Adobe Creative Cloud tools. Use this skill when a user wants to prepare a photo, image, or video for one or more social platforms — Instagram, TikTok, LinkedIn, Facebook, YouTube, Snapchat, Pinterest, Threads, or X/Twitter. Triggers on: "prepare my image for Instagram", "resize for TikTok", "get this ready to post", "make versions for all platforms", "social media sizes", "crop for stories", "export for LinkedIn", "resize my video for social", "make social media assets", or any request to adapt a photo or video for specific platforms. Handles subject-aware cropping, AI canvas expansion, test previews before full runs, and same-ratio video resizing.

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Resize photos and videos to exact pixel dimensions or aspect ratios using Adobe tools. Use this skill whenever a user wants to resize, scale, or change the dimensions of an image or video file — including phrases like "resize this to 1920x1080", "make this 4K", "scale to 800x600", "change the aspect ratio to 16:9", "resize my video", "make the image smaller", "crop to square", "fit this to a specific size", "resize for print", "resize for web", "make it 300 DPI ready", "change canvas size", "resize a batch of photos", or any request specifying target dimensions (W×H, ratio, or named size like "4K", "HD", "A4"). Also triggers for: "make this fit a specific size", "resize to [any dimension]", "I need this at [WxH]", "scale my video down", "change resolution", "downscale", "upscale". NOT for social media platform sets (use adobe-create-social-variations for that). Uses image_crop_and_resize for photos, video_resize for videos.

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Produces a compact KPI digest showing how key metrics changed over a period and what's driving the movement. Use this skill when someone asks for a performance summary, a weekly recap, a morning briefing, a KPI update, or any variation of "how did we do this week/month." Also trigger for requests like "give me a performance overview," "what moved in the last 7 days," "pull our KPI report," or "summarize our metrics."

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Create or materially revise a durable specification when the user explicitly requests a spec/new feature contract or a named ambiguity requires formal DEFINE; do not trigger for ordinary bounded edits, implementation, task breakdown alone, review, or documentation of already-settled behavior.

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Run a bounded red-green-refactor feedback loop only when the user explicitly requests TDD, accepts reproduction-first proof for a bug, or an accepted high-risk behavior specifically requires red/green evidence; do not trigger for every logic, bug, behavior, or implementation change.

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Generate or materially revise a repository-local test plan, QA plan, acceptance matrix, or regression checklist on explicit request or when one concrete testability gap blocks formal DEFINE; do not trigger for ordinary implementation, test execution, TDD, review, or completion claims.

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Plan and synthesize a source-grounded multi-paper literature review. Use for systematic literature reviews, survey matrices, inclusion/exclusion criteria, research gaps, or "review the literature on X" requests; do not use for reviewing one paper, ordinary web summaries, citation formatting only, or medical/legal conclusions.

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Run one bounded adversarial pass when the user explicitly requests a report-style stress test or ROSE identifies a concrete material loophole in an existing strategy, spec, plan, review, or claim; do not trigger for an interactive grill/frontier interview or merely before write-back, implementation, reconciliation, or completion.

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Implement an accepted change in bounded dependency-ordered increments when the user requests implementation and the scope benefits from multiple coherent slices; do not trigger merely because work touches multiple files, changes behavior, or is over an arbitrary line count.

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Structure source-grounded consulting-style analysis for strategy, market, product, operations, or decision memos. Use for MECE problem framing, hypotheses, options, tradeoffs, executive recommendations, or "consulting analysis" requests; do not use for legal/financial advice, implementation, data computation, chart rendering, or unsourced business claims.

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Optional focused post-implementation review routing. Use only when the user requests review or the changed surface has a clear specialist evidence need that direct diff inspection and the smallest relevant check cannot cover. Never creates an automatic review swarm.

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Create or update source-grounded documentation when the user explicitly asks for docs/ADR/onboarding material, a public contract change requires docs, or an accepted hard-to-reverse decision meets the ADR gate; do not trigger for every feature, architecture discussion, implementation, review, or SHIP request.

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Produce or apply an approved report-first proposal for workflow, ROSE, skill, command, subagent, memory, install, or harness-doc changes; use after harness-issue-triage localizes a harness problem or when the user explicitly requests harness maintenance, and do not edit core harness files without explicit human approval.

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。

Perform direct, bounded browser inspection through the `browser.qa` capability when the user requests runtime UI evidence or one browser-specific claim needs DOM/accessibility/console/network/visual verification; do not trigger for every UI change, backend work, delegated QA, or durable E2E artifact routing.

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Review a single academic paper, preprint, DOI, arXiv link, or user-provided PDF/text with source-grounded critique. Use for paper summaries, methodology review, novelty checks, reproducibility concerns, or "review this paper" requests; do not use for multi-paper surveys, systematic literature reviews, citation management, or implementation from a paper.

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。

PR test analysis routing. Use for pull request or diff test impact, changed-test review, CI failure interpretation, and focused test matrix recommendations; do not use for general code review or editing tests.

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Configure or diagnose project context, rules files, context packs, or documented context degradation when explicitly requested; do not trigger automatically at session start, task switching, ordinary repository exploration, implementation, or completion.

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Route an explicitly requested independent/delegated browser QA assignment or durable E2E evidence need; do not trigger for direct Playwright/DOM/console/network inspection, ordinary UI implementation, backend-only work, or production-mutating flows.

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Conduct one bounded evidence-grounded code review when the user explicitly requests review or ROSE names a concrete unresolved correctness/quality risk; do not trigger automatically after implementation, before every merge, for every bug fix/refactor, or as a completion gate.

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Research one bounded mature-project/prior-art question when the user explicitly asks how established projects handle it or ROSE names a decision-shaping prior-art gap; do not trigger automatically for IDEATE, DEFINE, BUILD, implementation, local review, or every design choice.

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Simplify a bounded code area when the user explicitly requests behavior-preserving refactoring or a named complexity/readability problem is the accepted task; do not trigger automatically after implementation, during every review, for adjacent cleanup, or when behavior may change.

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Implements lightweight state management using Zustand with TypeScript, persistence, devtools, and modular store patterns. Use when users request "zustand store", "state management", "global state", "zustand setup", or "jotai alternative".

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。