1,466 件 ・ 関連度順
概要と使いどころ
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
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。
Build internal AI governance policies from scratch. Covers acceptable use, model selection, data handling, vendor contracts, compliance mapping, and board reporting.
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。
AI-powered affiliate marketing. Product selection, content optimization, link management, conversion tracking. Multi-platform support.
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。
Structured multi-criteria decision analysis for ranking options with weights, constraints, confidence, tradeoff reasoning, sensitivity analysis, and explainable recommendations. Use when the user asks for decision support, MCDA, weighted scoring, prioritization, vendor selection, route planning, hiring shortlist ranking, tool comparison, procurement decisions, or auditable agent decision logic.
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 and implement adaptive testing systems using Item Response Theory (IRT). Use when working with computerized adaptive tests (CAT), psychometric assessment, ability estimation, question calibration, test design, or IRT models (1PL/2PL/3PL). Covers test algorithms, stopping rules, item selection strategies, and practical implementation patterns for K-12, certification, placement, and diagnostic assessments.
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。
Compare models with A/B testing for selection
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。
AI-powered presentation generation using 2slides API. Create slides from text content, match reference image styles, or summarize documents into presentations. Use when users request to "create a presentation", "make slides", "generate a deck", "create slides from this content/document/image", or any presentation creation task. Supports theme selection, multiple languages, and both synchronous and asynchronous generation modes.
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。
Score an Instagram creator's (or a list of creators') audience authenticity and engagement quality using Xpoz. Measures real engagement rate against views rather than follower count, the bot/spam share of their comments, and an overall 0-100 authenticity score for influencer vetting and partner selection. Use when asked to "vet this influencer", "are their followers real", "check engagement quality for @username", "rate these Instagram accounts", "compare creators before a sponsorship", or when the user pastes a list of Instagram handles to evaluate.
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 facing SEO algorithm questions, content strategy decisions, Threads growth planning, GEO optimization, AI tool selection for SEO, or evaluating SEO vendors. Triggers on any algorithm or content marketing decision — even without mentioning darkseoking. Every insight is backed by patent numbers or tested 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。
风水堪舆 · 阳宅/阴宅选址与布局建议。用户提供**地点**（最好是准确经纬度）、**周边环境描述或图片**、 以及**阳宅或阴宅**（可选朝向/坐向、建造或入住年、居者生辰性别、所求何事）→ 先用脚本**确定性**地 定位经纬度、查周边山水路(砂水)与地势、定坐向二十四山、排三元九运玄空飞星、八宅游年 → 再参《葬书》 《青囊经》《撼龙经》《雪心赋》等古籍，以**形势派(峦头)·理气派(玄空/八宅)·现代建筑学**三层解读 → 最后给出「藏风聚气·背山面水·明堂开阔·阴阳平衡·五行调和」的交叉对照表与**可执行、非破坏性**的改善建议。 Use this skill whenever the user asks about 风水、堪舆、看风水、阳宅、阴宅、选址、坐向、朝向、 住宅/办公室/店铺/墓地风水、玄空飞星、八宅、命卦、龙脉、砂水、四神砂、藏风聚气、明堂、财位、 文昌位、穿堂煞、户型点评、装修布局、买房看风水. Triggers: "看风水", "风水建议", "这房子风水", "阳宅", "阴宅", "选址", "坐向", "朝向", "玄空飞星", "八宅", "财位", "办公室风水", "墓地风水", "feng shui", "geomancy", "house feng shui", "office feng shui", "site selection". 即使用户只是随口问「帮我看看这房子风水好不好」「大门朝这边行不行」，也应主动使用本技能。
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。
Detects chart patterns in OHLC data from natural-language hypotheses or visual chart selections.
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。
GEODE runtime context for model selection and metadata, architecture, packaging, release, docs, CI, AgenticLoop, async runtime, and plugin boundaries.
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。
Drafts a filing-ready U.S. complaint for breach of a purchase agreement. Trigger when the user requests a breach-of-contract complaint, forum-selection analysis, or remedy package for a real-estate or asset purchase dispute.
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。
Drafts filing-ready U.S. amicus curiae briefs with rule-anchored compliance, additive thesis selection, record-safe fact handling, and verified authority control. Trigger when asked to draft an amicus or friend-of-the-court brief, prepare FRAP 29/32 or Supreme Court Rule 37 amicus filings, draft consent/leave or disclosure language, or handle amicus procedural requirements at any stage.
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。
Drafts the appellant's opening brief challenging a lower court decision in federal or state appellate courts. Covers issue selection, standard of review framing, record citation, argument structure, and procedural compliance under FRAP 28/32 or state equivalents. Use when preparing an appellant's opening brief, selecting appellate issues, structuring appellate arguments, or demonstrating reversible error on appeal.
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。
Deprecated compatibility shim. Agent routing reads the canonical inventory under .codex/agents/ directly; do not use this skill for agent selection.
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。
Deprecated compatibility shim. Agent routing reads the canonical inventory under .claude/agents/ directly; do not use this skill for agent selection.
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。
Manage Model Context Protocol (MCP) servers - discover, analyze, and execute tools/prompts/resources from configured MCP servers. Use when working with MCP integrations, need to discover available MCP capabilities, filter MCP tools for specific tasks, execute MCP tools programmatically, access MCP prompts/resources, or implement MCP client functionality. Supports intelligent tool selection, multi-server management, and context-efficient capability discovery.
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。
Configure and diagnose Fusion interoperability, transport selection, scoped profiles and qualification. Use for setup or connection problems, not design edits.
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。
Diagnose and optimize timing-critical Chisel RTL for FPGA implementation while preserving cycle semantics. Use for Vivado timing bottlenecks, long ready or admission paths, queue and issue selection, free-list bank mapping, priority encoders, one-hot arbitration, wide muxes, late-arriving forwarding or override data, high-fanout controls, cross-module predicates, register-boundary changes, emitted-Verilog inspection, or routed-DCP A/B analysis. Also use when a source-level simplification needs proof that it changes timing without changing architectural state.
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 user says "simmer this", "refine this", "hone this", "iterate on this", or asks to improve a specific artifact over multiple rounds. Runs an iterative refinement loop with investigation-first judges that read the code, understand the problem, and propose evidence-based improvements. Auto-selects single judge or multi-judge board based on complexity. Works on any artifact type: documents, prompts, specs, emails, creative writing, API designs, pipelines, codebases. Supports multi-file workspace targets, runnable evaluators, and open-ended optimization (model selection, pipeline topology, prompt tuning).
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。
Adversarial dialectic tool inspired by GAN. Alternates between Generator (creative advocate) and Discriminator (adversarial critic). Supports forced role selection (g/d), intensity modes (hard/soft), and multi-language output. Use for stress-testing ideas, business plans, code, and spec designs.
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。
Up-to-date Zig programming language patterns for version 0.17.0-dev (0.16.0 stable APIs plus the 0.17 deltas). Use when writing, reviewing, or debugging Zig code, working with build.zig and build.zig.zon files, or using comptime metaprogramming. Critical for avoiding outdated patterns from training data - especially std.net→std.Io.net (requires Io instance), std.time timestamps removed (use clock_gettime), std.Thread.Mutex/Condition/sleep removed (use pthreads), std.crypto.random removed, build system APIs (root_module, Compile methods→Module methods), I/O APIs (buffered writer pattern), container initialization (.empty/.init), allocator selection (DebugAllocator), ArrayList now unmanaged by default, @typeInfo lowercase fields (.@"struct" not .Struct), and removed language features (async/await, usingnamespace). Also covers 0.17.0-dev deltas: b.args→run_cmd.addPassthruArgs(), std.gpu→std.spirv, @bitCast logical-bit (endian-agnostic) semantics, build configurer/maker split, and the zig-pkg/ package directory. Also covers quality tooling Zig does not ship: coverage with kcov (and why in-file tests wreck the denominator), detecting unused private functions (neither the compiler nor zlint's unused-decls finds them), duplicate detection with jscpd, zlint (NOT the same-named X.509 linter in Homebrew), and the built-in fuzzer whose testOne now takes *std.testing.Smith rather than []const u8.
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 for affordances, hierarchical control, nullspace composition, and information-seeking action selection in embodied agents. NOT for pure symbolic planning, generic RL tuning, or domains without sensorimotor grounding.
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。