「filter」の検索結果

Use whenever the user wants to find, shortlist, vet, or enrich US design and creative agencies — graphic design, UX/UI, product design, brand identity, packaging, illustration, motion design, and creative direction. Triggers on "find me a UX/UI design agency for our SaaS product", "shortlist three brand-identity studios in NY", "packaging design firm for a CPG launch", or "pull contact info for these 10 design studio domains", even when described indirectly (brand refresh, design our app, build our visual system). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Defer to find-marketing-agency for marketing-led engagements where design is one of several services. Defer to find-web-developer when the deliverable is a built website. Skip in-house designer hires, "design me a logo" DIY asks, design-software comparisons, consumer/personal-design (weddings, hobby projects), non-US firms, individual freelancers.

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。

Maintain AuthCrunch logging skip rules, the reusable logging directive parser, immutable Zap filters, root server logger wiring, and TLS log-output tests. Excludes host-specific access-log configuration and changes to authentication decisions.

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。

Reconcile one set of artifact kinds (the target) to reflect the current state of another set of artifact kinds (the source), while optionally honoring a filtering hint. Use when the user wants to "reconcile", "sync", "align", or "update" artifacts like SPEC, CODE, DOCS, TASK, INFR, or OTHR against each other.

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。

设计列表接口的分页、筛选、排序、搜索时使用。适用于所有列表 API。优先使用 cursor 分页（大数据）或 offset 分页（小数据）+ 统一筛选/排序规范。

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。

Bearer CLI is an open-source static application security testing (SAST) tool that scans source code to identify, filter, and prioritize security vulnerabilities and privacy risks. Covers OWASP Top 10 and CWE Top 25 with data flow analysis across multiple languages.

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。

Analyzes AWS CloudWatch Logs using the CloudWatch Logs API and Logs Insights query syntax. Identifies error patterns, calculates error rates, and generates metric filters from log data.

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。

Investigates CloudWatch metric anomalies using the AWS SDK CloudWatch.getMetricData and Logs.filterLogEvents APIs. Correlates metric spikes with log patterns and deployment events from CodeDeploy.

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。

Route, label, and clean routine email traffic with scripted IMAP rules instead of doing the same inbox chores by hand.

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。

Scout the TouchDesigner community for what's HYPED right now — community showcases, recent tutorials, generative-AI bridges, hardware interaction trends, visual-aesthetic trends of 2025-2026 — then propose tdmcp tools that ride those trends AND are easy to build. Use whenever the user wants to brainstorm new feature ideas based on what's trending in TouchDesigner, asks for 'hype' or 'trending' features, asks 'what are people doing in TD right now / what's hot / what's hype', wants tools inspired by community trends, asks to scout TD trends/aesthetics/integrations, or says things like 'ideias hype', 'novas ideias', 'o que está em alta', 'criar ferramentas para o que está bombando', 'tendências do TouchDesigner'. Also for follow-ups: refresh, rescout one surface, re-rank under another profile, deepen a trend, or filter for buildable-easy items. This is an EXTERNAL trend ideation harness — complementary to tdmcp-feature-discovery (which is INTERNAL gap analysis). It produces `_workspace/hype-scout/HYPE_TOOL_BACKLOG.md` ranked by Hype × Build-Ease; it does NOT build. Once a feature is chosen from the backlog, hand it to tdmcp-pipeline.

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。

Babel internal issue protocol — list open handoffs by label. Scans designs/*/.handoff/*.md (filtered by label) and best-effort merge with gh issue list. Used by all guru/architect agents at startup to pick up 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。

Use when writing Playwright tests, fixing flaky tests, debugging failures, implementing Page Object Model, configuring CI/CD, optimizing performance, mocking APIs, handling authentication or OAuth, testing accessibility (axe-core), file uploads/downloads, date/time mocking, WebSockets, geolocation, permissions, multi-tab/popup flows, mobile/responsive layouts, touch gestures, GraphQL, error handling, offline mode, multi-user collaboration, third-party services (payments, email verification), console error monitoring, global setup/teardown, test annotations (skip, fixme, slow), test tags (@smoke, @fast, @critical, filtering with --grep), project dependencies, security testing (XSS, CSRF, auth), performance budgets (Web Vitals, Lighthouse), iframes, component testing, canvas/WebGL, service workers/PWA, test coverage, i18n/localization, Electron apps, or browser extension testing. Covers E2E, component, API, visual, accessibility, security, Electron, and extension testing.

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。

Vitest fast unit testing framework powered by Vite with Jest-compatible API. Use when writing tests, mocking, configuring coverage, or working with test filtering and fixtures.

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。

Lists all Stitch Design Systems, optionally filtered by project. Returns asset names needed for apply and update operations.

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。

Execute pending Claude Code Tasks in dependency order with wave-based concurrent execution and adaptive verification. Supports task group filtering and configurable parallelism. Use when user says "execute tasks", "run tasks", "start execution", "work on tasks", or wants to execute generated tasks autonomously.

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 building imp, running its test suite, checking CI status, or debugging build/test failures - "make build", "run the tests", "test-gpu", "verify-fast", GTEST_FILTER, Docker/CUDA toolchain, dependency bumps, "CI is red/blocked", "which gate failed", stale objects / segfault after a header edit, hook edits, docker-entrypoint env vars, determinism or perplexity checks. Do NOT use for benchmarking/profiling (benchmark-cuda) or output-quality batteries (check-degeneration).

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。

Hunt Server-Side Request Forgery (SSRF) — internal network access, cloud metadata exploitation, gopher/file/dict protocol abuse, and 11 IP-filter bypass techniques. Use when an endpoint accepts a URL, hostname, or file path as input.

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。

Hunt file upload vulnerabilities — bypass content-type/extension/magic-byte/size filters, achieve XSS via SVG/HTML upload, achieve RCE via .phtml/.jsp/.htaccess, exploit path traversal in filenames, and use polyglot files. Use when an endpoint accepts file uploads.

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。

Filter and summarise the cross-library KB audit log. Reports confidentiality events (attribution drops, synthesis aborts, dispatcher failures, no-evidence markers, cross-library promotions) over a date range, by event type, and by source handle.

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。

This skill should be used when the user asks to "add a glassmorphism effect", "frosted glass UI", "Apple liquid glass style", "frosted blur card", "translucent glass panel animation", "make a frosted nav bar", "build a glass modal/dialog", "animate a glass card on hover", or "add a refracting liquid-glass hero". Covers frosted translucent panels with backdrop-filter blur, edge/specular highlights, SVG liquid-glass refraction, motion on hover/scroll/enter, and accessible reduced-transparency fallbacks.

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。

Search academic papers, build literature reviews, and synthesize research findings — combines Exa MCP (research_paper category, arxiv filtering) with arxiv-mcp-server for paper discovery, download, and deep analysis. Triggers on academic paper, literature review, research synthesis, arxiv, find papers, scholarly search.

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。

Search and download images from 15 APIs in parallel (Openverse, Pexels, Pixabay, Met Museum, Cleveland Museum, Art Institute of Chicago, Getty Museum, NASA, Rijksmuseum, Wikimedia Commons, Unsplash, Smithsonian, Europeana, Iconify, Pollinations AI). Supports license filtering, presets (military, museum, stock), cached results, and bulk download with metadata sidecars. Triggers on find images, stock photos, public domain artwork, museum images, CC-licensed, NASA photos, icons.

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 synthetic routes and judge whether a proposed molecule can actually be made, using AiZynthFinder's Monte-Carlo tree search over template-derived reactions and a purchasable building-block stock. Use this skill to configure expansion and filter policies, choose a stock file, run route search over a candidate set, and read the returned trees — solved fraction, route depth, and which building blocks a route bottoms out in. Also trigger on AiZynthFinder, retrosynthetic tree search, synthetic accessibility, SAscore, RAscore, building-block stock, reaction template, or route scoring.

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。

Cheminformatics toolkit for fine-grained molecular control. Parse and write SMILES, SDF, MOL and InChI; compute descriptors (MW, LogP, TPSA, QED, Bertz); build fingerprints (Morgan/ECFP, RDKit, MACCS, atom pair, torsion) and score Tanimoto, Dice or cosine similarity; run SMARTS substructure search and reaction SMARTS; generate 2D depictions and ETKDG 3D conformers; extract Murcko scaffolds and canonical hashes; control sanitization and stereochemistry directly. Also trigger on rdkit, Chem.MolFromSmiles, rdFingerprintGenerator, SDMolSupplier, SMARTS query, ETKDG, or FilterCatalog. For standard workflows with a simpler interface use the datamol skill, which wraps RDKit; use rdkit for advanced control, custom sanitization, and specialized algorithms.

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。

Design new proteins that bind a chosen surface, using BindCraft's AlphaFold2-guided hallucination or the RFdiffusion backbone plus ProteinMPNN sequence pipeline. Use this skill to specify a target epitope by hotspot residue, trim a receptor to the region worth designing against, set up a design campaign, and filter the output on the in-silico metrics that predict experimental success — interface predicted TM-score, predicted aligned error at the interface, buried surface area, and shape complementarity. Also trigger on BindCraft, RFdiffusion, ProteinMPNN, minibinder, hallucination, inverse folding, hotspot residue, epitope targeting, ipTM, or de novo binder.

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。