「sem」の検索結果

Design a color palette with semantic tokens for a brand or product. Use when asked to "design a color palette", "what colors should we use", or "define semantic color tokens".

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Expert guide for WebAssembly (WASM) and Edge Computing. Covers WASI preview 2, Spin/Fermyon, Cloudflare Workers WASM, and high-performance browser computing / Panduan ahli untuk WebAssembly (WASM) dan Edge Computing. Mencakup WASI preview 2, Spin/Fermyon, Cloudflare Workers WASM, dan komputasi performa tinggi di browser.

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Expert guide for rich text editor integration (Tiptap, Lexical, ProseMirror), collaborative editing, and custom extensions / Panduan ahli integrasi editor rich text (Tiptap, Lexical, ProseMirror), editing kolaboratif, dan ekstensi kustom.

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Expert guide for AI FinOps, dynamic model routing (LiteLLM, Portkey, RouteLLM), cost optimization, budget enforcement, semantic caching, and latency-based fallback architectures / Panduan ahli untuk AI FinOps, routing model dinamis, optimasi biaya, penegakan anggaran, semantic caching, dan arsitektur fallback berbasis latensi.

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Expert guide for ephemeral WebAssembly (WASM) and isolated micro-runtime sandboxes to securely execute AI-generated code, validate database migrations in-memory, and perform sub-millisecond fuzzing / Panduan ahli sandbox WebAssembly (WASM) efemeral dan micro-runtime terisolasi untuk eksekusi kode AI yang aman, validasi migrasi database in-memory, dan fuzzing sub-milidetik.

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Define semantic type detectors in detectors.js for auto-detecting column data meaning

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Semantic HTML5, SEO basics, alt text, progressive enhancement and SPA concerns. Use when building web UI, reviewing markup or optimising for search.

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Instrumentation, arranging, and timbral analysis for ensemble and orchestral writing. Covers instrument families (strings, woodwinds, brass, percussion, keyboards), ranges, transpositions, timbral characteristics, scoring techniques, doubling and voicing, Rimsky-Korsakov's orchestration principles, Ravel's and Messiaen's timbral innovations, jazz big band voicing, popular music arranging, and notation conventions. Use when choosing instruments, scoring for ensembles, analyzing orchestral texture, or arranging music for different forces.

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Use when parallel agents in a convoy or across git worktrees hit a write conflict on shared state — a git tree, a config, or a shared document — and you must decide whether the conflict is semantically real. Classifies each conflicting hunk as independent (keep both), redundant (pick one), or a genuine clash (escalate), instead of blind locks, abort-and-retry, or escalate-everything. Sits ABOVE refinery-merge and NEVER blind auto-merges: it wraps an LLM judgment, defaults to escalate on any uncertainty, and unconditionally escalates any hunk touching .planning/, config, credentials, or safety-critical paths. Backed by CoAgent (arxiv 2606.15376v1). Triggers on write conflicts between parallel agents on shared repo state.

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Composes three-part DACP bundles from skill library artifacts. Determines fidelity level, queries catalog, and records assembly rationale.

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ffmpeg 自动拼接成片：一条命令把 storyboard.json（商品图/视频片段 + 口播稿）渲染成带配音、字幕花字、转场、BGM 自动闪避、响度标准化的 9:16 MP4，纯本地运行。Use when the user wants to assemble/edit/render a product video, 自动剪辑, 一键成片, 拼接视频, 图片转视频, Ken Burns, add BGM/subtitles/voice-over with ffmpeg, or batch-produce short videos without an editor.

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Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

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Compatibility router for semantic skill tightening. Delegate goal recovery, authority, semantic conservation, evaluation contracts, and instruction optimization to Skill Lapidary rather than duplicating that system in Plugin Creator.

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Runs several language models as independent coders on the same labeling or discovery task and reads their disagreement as data — panel assembly for model diversity, keeping votes independent, consensus rules, agreement statistics (Cohen's and Fleiss kappa, Krippendorff's alpha), the correlated-errors caveat that stops agreement being mistaken for validity, human validation beyond the panel, and reporting. Use when the user asks about a council, panel, ensemble, or jury of models, asks how to combine several models' labels, or asks what kappa or alpha to report for model coders. Single-model codebook and validation work goes to text-classification, per-item confidence to llm-calibration-logprobs.

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Runs several language models as independent coders on one labeling or discovery task and treats disagreement as data. Covers diverse panel assembly, independent voting, consensus rules, Cohen’s and Fleiss kappa, Krippendorff’s alpha, correlated-error limits on validity claims, human validation, and reporting. Use when the user asks about a council, panel, ensemble, or jury of models, how to combine model labels, or what kappa or alpha to report for model coders. Single-model codebook and validation work goes to text-classification, per-item confidence to llm-calibration-logprobs.

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Semantic code understanding with IDE-like symbol operations. Use when: (1) Large codebase analysis (>50 files), (2) Symbol-level operations (find, rename, refactor), (3) Cross-file reference tracking, (4) Project memory and session persistence, (5) Multi-language semantic navigation. Triggers: "find symbol", "rename function", "find references", "symbol overview", "project memory". IMPORTANT: Prioritize Serena's symbolic tools over file-based grep/read for code exploration.

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。

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

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 whenever the user wants to find, shortlist, vet, or enrich US SEO agencies — technical SEO, on-page/off-page, link-building, content-led SEO, local SEO, ecommerce SEO, B2B SEO, and SEO audits. Triggers on "find me an SEO agency in Texas", "shortlist three technical SEO consultancies for SaaS", "link-building and on-page for our ecommerce store", or "pull contact info for these 8 SEO firm domains", even when described indirectly (organic traffic flat, improve Google rankings, search visibility). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings, third-party listings. Defer to find-marketing-agency when scope spans multiple marketing services beyond SEO. Skip SEM/PPC/paid-search asks, web-dev asks (use find-web-developer), "how do I rank" DIY questions, SEO tool recommendations (Ahrefs, Semrush), in-house SEO hires, non-US firms, individual freelancers.

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Summarizes audio content using AssemblyAI's LeMUR (Large Language Model for Audio Understanding) API. Chains the /v2/transcript endpoint with /lemur/v3/generate/summary for contextual audio intelligence.

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Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

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Use when navigating or refactoring code with a language server - choosing between semantic (LSP), exact-text (rg), and fuzzy/semantic search; anchoring LSP calls by position; gating degraded results; and disclosing tool substitutions, in any language.

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Create custom Semgrep rules for detecting project-specific vulnerabilities, enforcing coding standards, and building domain-specific security checks with proper testing and metadata.

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。

Semantic search over global agent memory. Use to retrieve previously learned patterns, decisions, gotchas, and workarounds. Prevents stale-context errors across long sessions and multi-agent pipelines.

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。

Semantic code search using Phase 1 vector embeddings and Phase 2 hybrid 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。