「anti」の検索結果

Quantitative strategy frameworks: pairs trading/cointegration, volatility regime strategies, seasonality/calendar effects, multi-factor models (IC/IR), factor research and screening, correlation analysis, statistical methods (ADF/GARCH), strategy optimization, execution modeling, hedging, and ML-based prediction (sklearn). Also provides CLI access to run indicator scripts against K-line data. Triggers: "量化", "因子", "配对交易", "协整", "波动率策略", "季节性", "多因子", "IC", "机器学习", "对冲", "量化策略", "協整", "波動率策略", "季節性", "多因子", "對沖", "quant", "pairs trading", "cointegration", "volatility strategy", "seasonality", "multi-factor", "factor model", "IC IR", "machine learning", "hedging", "walk-forward", "配對交易", "機器學習", "因子選股"

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 structured ICP documentation by scraping case studies, testimonials, and solutions pages from your website. Produces firmographics, champion + economic buyer personas, pain points, decision criteria, anti-ICP, customer proof points, and voice-of-customer synthesis. Writes to marketing/icp/ICP.md as the canonical ICP every downstream skill reads. Triggers - "icp research", "ideal customer profile", "persona research", "customer segments", "who are our customers", "build ICP"

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。

Personal research-paper radar. Fetches the latest papers and code repos for the user's keyword subscriptions across arXiv, Crossref (IEEE/ACM), Semantic Scholar, GitHub, HuggingFace, Papers with Code and RSS; deduplicates against history; then YOU (the assistant) expand the queries, filter for computer-science relevance, write Chinese summaries, detect hot sub-fields, and emit a Markdown + HTML digest (optionally emailed). Use when the user asks to "run my paper radar / 文献雷达", "check for new papers", "what's new in my topics", "今天有什么新论文 / 最新文献", "today's research digest", or to configure their keyword subscriptions / sources / schedule.

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。

VNX-specific domain expertise for the intelligence system, central state databases, and dispatch lifecycle. Use when working on quality_intelligence.db / runtime_coordination.db / dispatch_tracker.db, code_snippets FTS5, snippet_metadata linkage, success_patterns / antipatterns, T0 state projection (t0_state.json), intelligence_injections lifecycle, dispatch → receipt → events → archive flow, central state architecture, project_id propagation across VNX, or any code that reads/writes VNX governance state. Triggers include: editing intelligence injection code, querying central DB for cross-project insights, debugging "intelligence not appearing in T0 state", modifying schema in `schemas/quality_intelligence.sql` or `schemas/runtime_coordination_v*.sql`, working with `scripts/quality_db_init.py` or `scripts/lib/coordination_db.py`.

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。

SQLite database expertise for migrations, multi-tenant patterns, transactional safety, FTS5 virtual tables, and schema evolution. Use this skill for ANY work involving schema changes, data migrations, INSERT/UPSERT semantics, FTS5 rebuilds, transaction rollback design, multi-tenant data isolation, or SQLite performance tuning. Triggers include: writing migration SQL, modifying `_import_table`-style importers, designing UNIQUE/PK constraints, adding indexes for JOINs, debugging "rows missing" / "wrong count" / "stuck for hours" symptoms in SQLite-backed systems.

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。

VNX-specific domain expertise for the intelligence system, central state databases, and dispatch lifecycle. Use when working on quality_intelligence.db / runtime_coordination.db, code_snippets FTS5, snippet_metadata linkage, success_patterns / antipatterns, T0 state projection (t0_state.json), intelligence_injections lifecycle, dispatch → receipt → events → archive flow, central state architecture, project_id propagation across VNX, or any code that reads/writes VNX governance state. Triggers include: editing intelligence injection code, querying central DB for cross-project insights, debugging "intelligence not appearing in T0 state", modifying schema in `schemas/quality_intelligence.sql` or `schemas/runtime_coordination_v*.sql`, working with `scripts/quality_db_init.py` or `scripts/lib/coordination_db.py`.

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 a thorough, Incan-project-aware code review. Use when the user asks for a review, code critique, PR review, or says /review. Checks Rust anti-patterns, compiler pipeline completeness, error handling, test coverage, style conventions, and RFC compliance specific to the Incan compiler codebase.

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。

Review touched Incan source for Python-quality readability, idiomatic Incan structure, dogfooding integrity, public API polish, and source-level anti-patterns. Use for `.incn` stdlib, examples, language-surface implementations, or when the user asks whether Incan code reads like well-written Python rather than Rust-shaped scaffolding.

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。

Merge a Git source branch, including its still uncommitted changes, into a target branch through a regular merge, a rebase with fast-forward, or a squash merge, resolving merge conflicts semantically, check that the source branch landed, and emit a MERGED, CONFLICT, or FAILED verdict. Use when the user calls to "merge", "integrate", or "land" a branch.

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。

Resolve the Git merge conflicts of a working directory -- of an in-progress merge, rebase, cherry-pick, revert, stash apply, or of conflict markers left by patch -- carefully and semantically, never losing any change, escalate unresolvable hunks as-is, continue the in-progress operation, and emit a RESOLVED, PARTIAL, NONE, or FAILED verdict. Use when the user calls to "resolve" or "fix" merge conflicts.

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。

Analyze the source code for problems in either the logic and semantics and its related control flow, performance and efficiency, or security.

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。

Guided codebase exploration for understanding a repo's architecture, patterns, and domain language before contributing. Not issue-specific. builds general understanding. Use when exploring a new repo, wanting to understand how a project works, or preparing to become a regular contributor. Not for learning a framework or language you have never used. Use oss-learn-stack for that.

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 designing UI with OpenPencil — creating layouts via op CLI, batch design DSL, sandboxed JS scripts, or MCP tools. Covers PenNode schema, semantic roles, typography, color, spacing, and common component patterns.

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。

Rust development intelligence. 14 domains, 11 stacks, 300+ entries. Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check Rust code. Domains: pattern, crate, error, perf, test, concurrency, traits, arch, idiom, anti, tooling, module, unsafe. Stacks: web-axum, web-actix, web-rocket, web-warp, cli, grpc, database, async-runtime, auth, wasm, embedded. Integrations: arch_system generator.

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。

PHP development intelligence. 12 domains, 8 stacks, 300+ entries. Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check PHP code. Domains: pattern, package, error, perf, test, security, interface, arch, idiom, anti, tooling, dependency. Stacks: laravel, symfony, codeigniter, slim, api-platform, livewire, database, queue. Integrations: arch_system generator.

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。

Node.js & TypeScript development intelligence. 12 domains, 12 stacks, 300+ entries. Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check Node code. Domains: pattern, package, error, perf, test, async, arch, idiom, anti, tooling, module, typescript. Stacks: web-express, web-fastify, web-hono, web-nestjs, web-nextjs, web-remix, orm-prisma, orm-drizzle, auth, database, realtime, graphql. Integrations: arch_system generator.

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。

Mobile development intelligence. 12 domains, 9 stacks, 250+ entries. Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check mobile code. Domains: pattern, package, error, perf, test, security, interface, arch, idiom, anti, tooling, dependency. Stacks: flutter, react-native, swiftui, jetpack-compose, kotlin-multiplatform, capacitor, expo, native-ios, native-android. Integrations: arch_system generator.

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。

Go development intelligence. 12 domains, 10 stacks, 300+ entries. Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check Go code. Domains: pattern, package, error, perf, test, concurrency, interface, arch, idiom, anti, tooling, module. Stacks: web-gin, web-echo, web-fiber, web-stdlib, cli, grpc, database, microservice, cloud-native, data-pipeline. Integrations: arch_system generator.

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。

Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.

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。

Migrates Odoo QWeb HTML and PDF reports between major versions while preserving data semantics, access behavior, paper geometry, and intended visual appearance. Use when porting reports across Odoo versions, adapting report templates or assets after an upgrade, or diagnosing visual regressions in migrated PDFs.

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。

游戏安全逆向专项。当任务涉及游戏反作弊分析、Unity/UE 逆向、内存扫描、DBI 框架、IL2CPP 分析、 游戏保护壳（VMProtect/Themida）脱壳、Cheat Engine、游戏 Mod 开发时使用本 skill。 触发关键词：游戏逆向、反作弊、Cheat Engine、Unity、IL2CPP、Unreal Engine、x64dbg、游戏安全、 game hacking、anti-cheat、EAC、BattlEye、Vanguard。

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。

A template demonstrating the universal format compatible with Antigravity, Codex, Cursor, and OpenClaw.

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。

A template demonstrating the universal format compatible with Antigravity, Claude, Cursor, and OpenClaw.

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。

Optional power-up — detects oversized codebases/docs and suggests tobi/qmd for local semantic search. Bridges cm-continuity (working memory) with long-term document retrieval. Zero-config detection, non-intrusive suggestion.

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。