978 skills · sorted by relevance
River Review のメインエントリポイント。 レビュー依頼の intent classification → 専門 skill 選択 → 実行 → finding verification → feedback classification → fixture / reference / suppression への還元までを束ねる improvement-loop orchestrator。
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Use when working with Consul — hashiCorp Consul service discovery and mesh management. Covers service registration, health checks, KV store operations, intentions (ACLs), Connect service mesh, datacenter federation, and prepared queries. Use when managing service discovery, debugging health checks, configuring service mesh intentions, or working with Consul KV store.
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Improves typography by fixing font choices, hierarchy, sizing, weight, and readability so text feels intentional. Use when the user mentions fonts, type, readability, text hierarchy, sizing looks off, or wants more polished, intentional typography.
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Design App Intents, app entities, and App Shortcuts for iOS system surfaces. Use when exposing app actions or content to Shortcuts, Siri, Spotlight, widgets, or controls.
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Kelly AI Newsroom: App-in-Skill daily industry intelligence cockpit for AI/news-source intelligence (Busabase App-in-Skill). Use when the user asks for AI trend sourcing, news-source monitoring, buyer-intent analysis, or a reusable industry-intelligence cockpit. Prepares news/source signals, buyer-intent interpretation, approved sales actions, and channel drafts for review before any external handoff.
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Full SEO audit: Google Search Console data + URL Inspection API + PageSpeed Insights API + technical crawl + keyword research + metadata audit + schema markup audit + search intent analysis + Core Web Vitals monitoring. Feeds real GSC data and PageSpeed metrics into AI to surface quick wins, diagnose traffic drops, find content gaps, identify metadata mismatches, detect schema gaps, monitor page performance, and produce an actionable 30-day plan. Use this skill whenever the user asks about SEO, search rankings, organic traffic, Google Search Console, keyword performance, traffic drops, content gaps, search visibility, technical SEO, meta tags, schema markup, structured data, URL indexing, keyword research, indexing issues, page speed, performance, Core Web Vitals, LCP, INP, CLS, or Lighthouse scores. Also trigger on: "why is my traffic down", "what keywords am I ranking for", "improve my rankings", "check my search console", "SEO audit", "analyze my SEO", "technical SEO", "meta tags", "indexing issues", "crawl errors", "content strategy", "keyword cannibalization", "search intent", "schema markup", "structured data", "URL inspection", "page speed", "performance score", "core web vitals", "lighthouse", or any organic search question. If in doubt, trigger. This skill handles everything from quick GSC checks to deep technical audits with performance monitoring.
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Cross-chain interoperability for Stellar. Entry point with a rail-selection decision table and shared pitfalls, routing to two companion files — cctp.md (Circle CCTP V2, native USDC burn-and-mint between Stellar and EVM/Solana chains, domain 27, the CctpForwarder requirement for Stellar recipients) and axelar.md (Axelar GMP for Soroban contracts calling contracts on other chains, and the Interchain Token Service for multichain tokens). Also covers NEAR Intents (intent-based cross-chain swaps into XLM or Stellar USDC) at the routing level. Use when bridging USDC to or from Stellar, sending messages between a Stellar contract and another blockchain, making a token exist on multiple chains, or adding cross-chain swaps to an app.
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Android アプリ開発 (Kotlin) のプラットフォーム基盤リファレンス。 Activity, Intent, Application, ContentProvider, AndroidManifest, androidx, ランタイム権限, NotificationCompat, CallStyle, Bubbles (BubbleMetadata), WindowInsets, スプラッシュスクリーン, Glance ウィジェット。
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Improves typography by fixing font choices, hierarchy, sizing, weight, and readability so text feels intentional. Use when the user mentions fonts, type, readability, text hierarchy, sizing looks off, or wants more polished, intentional typography.
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Pull data from a web page. First call on a new intent prototypes the flow via $B primitives and returns JSON. Subsequent calls on a matching intent route to a codified browser-skill and return in ~200ms. Read-only — for mutating flows (form fills, clicks, submissions), use /automate. Use when asked to "scrape", "get data from", "pull", "extract from", or "what's on" a page. (gstack)
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Resolve the current user prompt into an atm.taskIntent.v1 proposal before next-action routing.
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Author pull requests with intent-separated commits, blast-radius disclosure, and verification evidence. Load when opening a PR, writing a PR description, separating refactor from feature commits, or summarizing a change set for review. Also triggers on "write the PR", "PR body", "intent-separated commits", "split refactor from feature", "pr summary", or after safe-change cycles complete. Extends git-workflow-and-versioning — does not replace it.
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Construct a finite oriented simplicial or cellular cochain model and compute its stated linear invariants when coefficient spaces, maps, metrics, and observations are explicit. Use for scoped Hodge, rank, or residual calculations; not for attributing agent intent or authorizing effects. NOT for attributing intent, identifying a liar, or authorizing external effects.
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Search Experience Optimization: reads Google SERPs backwards to detect page-type mismatches, derives user stories from search intent signals, and scores pages from multiple persona perspectives. Identifies why well-optimized pages fail to rank by analyzing what Google rewards for each keyword. Use when user says "SXO", "search experience", "page type mismatch", "SERP analysis", "user story", "persona scoring", "why isn't my page ranking", "intent mismatch", or "wireframe".
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Improves typography by fixing font choices, hierarchy, sizing, weight, and readability so text feels intentional. Use when the user mentions fonts, type, readability, text hierarchy, sizing looks off, or wants more polished, intentional typography.
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Structure AI work artifacts under .aiwork/{YYYY-MM-DD}_{slug}/ folders using the project's protocol (intent, triage, research, spec, prd, areas, plan, review, notes, docs/). Use when the user asks to plan, capture an intent, make a spec, triage, research a task, write a report, code review, summarize findings, save the work, document decisions, record this, write that down, persist findings, or references any path under .aiwork/. Also use when starting a non-trivial task that needs a plan or spec before implementation, or when finishing one and capturing notes.
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Plan a consistent visual direction for music videos and short edits in angelcore, cloud-trance, and hyperpop styles. Define color, lighting, camera movement, and beat-synced cuts, then coordinate footage generation and editing through companion skills.
Turn product requests and planning documents into a concrete development plan. Document business rules, data ownership, service interfaces, and unresolved decisions so teams can see what must be settled before implementation begins.
Turn unclear feature requests or high-impact changes into acceptance criteria: observable conditions for judging completion. Define scope, assumptions, risks, and verification methods, or review an existing specification so another agent or team can implement it with clearer requirements.
Design new interfaces or reshape existing ones with colors, typography, and layouts grounded in the subject and audience. It guides planning, implementation, and critique, including interface wording, purposeful motion, mobile layouts, and accessibility.
Design new interfaces or reshape existing ones with colors, typography, and layouts grounded in the subject and audience. It guides planning, implementation, and critique, including interface wording, purposeful motion, mobile layouts, and accessibility.
Compare a Git diff with its stated purpose to flag potentially unrelated files, added dependencies, API renames, and configuration changes. Receive recommendations to keep, split, or justify changes, with a proposed grouping for follow-up work.
Turn a vague request into a precise specification through five phases and file it as a GitHub issue. Optionally start a Claude Code agent in a separate working directory to begin implementation.
Turn real product reference photos into three ecommerce images: a clean main shot, a feature highlight, and a lifestyle scene. The workflow prioritizes product consistency and also creates an image manifest and a preview gallery.