「matching」の検索結果

Cross-consistency review of a drafted spec's diagrams. Verifies that C4 components appear in the dependency graph, class-diagram changes have matching DDL, every AC resolves to a concrete sequence, and the dependency graph is acyclic. Read-only. Run after `/spec-lint` passes and before implementation.

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Find web sources with query-relevant page excerpts and optional full-page content, and discover workflows, data APIs, and indexes. Use for web research or finding structured records, listings, transcripts, and datasets. Supports semantic tool discovery, domain matching, and progressive catalogue browsing.

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AI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g

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Re-run the analysis pipeline on all runs matching an RQ, reaggregate metrics, and propose findings updates against the fresh data. Trigger when the user says "reanalyze RQ-N", "reanalyse RQ-N", "Runs neu analysieren", or wants to refresh metrics/findings after a pipeline change (analyze-run.sh fix, adapter added, ESLint config).

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Route data analysis and machine learning work to the right skill in this suite. Use when starting any analysis, modeling, validation, or reproducibility task and the matching specialized skill is not yet clear; not needed when one specific skill already clearly applies.

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Use when writing or refactoring modern C# with maintainability and performance standards. Keywords: coding standards, C# best practices, refactor C#, records, pattern matching, async best practices.

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GitHub Pull Request creation specialist. Analyzes user requirements to create PRs with structured titles and bodies matching the user's query language. Handles git change analysis, PR draft creation, user confirmation, and final PR creation via gh CLI.

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Writes Next.js App Router code — Server Components, Server Actions, RSC boundaries, route handlers, caching, and streaming — matching framework conventions and project architecture.

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Use when creating an API endpoint or HTTP route handler — detects the project stack and routes to the matching carve-out (laravel-api-endpoint, nextjs-patterns, symfony-workflow).

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Escreva código C# moderno com recursos avançados como records, pattern matching e async/await. Otimiza aplicações .NET, implementa padrões empresariais e garante testes abrangentes.

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Use when the user wants to find or discover a Claude Code skill that is NOT already installed — e.g. "is there a skill for X", "find me a skill that…", "what skills exist for…", or "/find-skill <topic>". Searches the official plugin marketplace, GitHub, and curated awesome-lists for community skills matching a need, removes anything already installed, and recommends the top 5 with links. Do NOT use this to create or edit skills (that is skill authoring), or to pick among skills you already have.

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使用 AACT (Aggregate Analysis of ClinicalTrials.gov) PostgreSQL 数据仓库进行批量、历史、聚合性临床试验数据挖掘。Use this skill when the user requests bulk SQL analysis over the full clinical trials data warehouse — historical trial trends, disease landscapes, similar-design matching, or multi-year aggregations across hundreds of thousands of NCT records. 触发场景包括：AACT 查询、临床试验批量分析、PostgreSQL 试验数据、全量 NCT 检索、试验数据挖掘、历史试验分析、clinical trials data warehouse、SQL trials、bulk trial analysis、disease landscape、试验设计相似性匹配、跨年度聚合、sponsor/phase/country 多维统计。**与 clinical-trials-v2 差异**：本 skill 走批量 SQL · 离线大数据（PostgreSQL）；v2 走实时 API · 单查询。两者互补：单条 NCT 实时状态用 v2，百万级历史挖掘用本 skill。支持云端公共 PostgreSQL（aact-db.ctti-clinicaltrials.org · 零部署）和每日 dump 本地还原（高性能 · 离线）两种连接方式，自动检测优先用本地。跨平台（macOS/Linux/Windows）参数化 SQL 防注入，read-only 强制保护。

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Install, discover, and wire registry blocks and components into HyperFrames compositions. Use when running hyperframes add or hyperframes catalog, installing one item or every block matching a tag, wiring an installed item into index.html, or working with hyperframes.json. Covers discovery, install locations, block sub-composition wiring, component snippet merging, and authoring a new block or component to contribute upstream (idea → scaffold → validate → PR).

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Idiomatic programming style, patterns, and conventions for TypeScript and JavaScript development. Trigger when: - Writing, refactoring, reviewing, or debugging TypeScript or JavaScript code. - Files matching the patterns **/*.ts, **/*.tsx, **/*.js, **/*.jsx, package.json are in the workspace or referenced. - Tasks involve: tsc, npm, yarn, pnpm, bun, eslint, prettier, vite, next.js. - Prompt contains keywords: typescript, ts, js, javascript, interface, type, async, await, promise, es6, node, deno.

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Idiomatic programming style, patterns, and conventions for Rust development. Trigger when: - Writing, refactoring, reviewing, or debugging Rust code. - Files matching the pattern **/*.rs (including Cargo.toml, Cargo.lock) are in the workspace or referenced. - Tasks involve: cargo build, cargo clippy, cargo test, cargo check, rustc. - Prompt contains keywords: rust, cargo, clippy, borrow checker, lifetime, struct, enum, impl, Option, Result, match, unwrap, unsafe.

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Formatting, structure, and execution rules for Quarto markdown documents. Trigger when: - Writing, editing, or rendering Quarto documents, reports, presentations, or websites. - Files matching the pattern **/*.qmd are in the workspace or referenced. - Tasks involve: quarto render, quarto preview, knitr, jupyter. - Prompt contains keywords: quarto, qmd, yaml header, code chunk, callout, cross-reference.

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Idiomatic programming style, patterns, and conventions for Python development. Trigger when: - Writing, refactoring, reviewing, or debugging Python code. - Files matching the pattern **/*.py (including requirements.txt, pyproject.toml, setup.py) are in the workspace or referenced. - Tasks involve: python, pytest, pip, uv, virtualenv, flake8, black, mypy. - Prompt contains keywords: python, py, pep8, typing, list comprehension, decorator, generator, asyncio, yield, poetry.

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Idiomatic programming style, patterns, and conventions for Go (Golang) development. Trigger when: - Writing, refactoring, reviewing, or debugging Go code. - Files matching the pattern **/*.go (including go.mod, go.sum) are in the workspace or referenced. - Tasks involve: go fmt, go test, go build, go vet, golangci-lint. - Prompt contains keywords: go, golang, goroutine, channel, select, interface, err != nil, defer, panic, gofmt, struct.

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Suggest the matching Convex component when the user hand-rolls a pattern it already solves (crons, sharded-counter, rate-limiter, storage, search, presence, workflow, RAG, prosemirror-sync). Passive — suggest after the task, never interrupt. Never install without consent.

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。

Suggest the matching Convex component when the user hand-rolls a pattern it already solves (crons, sharded-counter, rate-limiter, storage, search, presence, workflow, RAG, prosemirror-sync). Passive — suggest after the task, never interrupt. Never install without consent.

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 E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g

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Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.

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Detects prompt injection attacks targeting LLM-based applications using a multi-layered defense combining regex pattern matching for known attack signatures, heuristic scoring for structural anomalies, and transformer-based classification with DeBERTa models. The detector analyzes user inputs before they reach the LLM, flagging direct injections (system prompt overrides, role-play escapes, instruction hijacking) and indirect injections (encoded payloads, multi-language obfuscation, delimiter-based escapes). Based on the OWASP LLM Top 10 (LLM01:2025 Prompt Injection) and Simon Willison's prompt injection taxonomy. Activates for requests involving prompt injection detection, LLM input sanitization, AI security scanning, or prompt attack classification.

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Builds automated threat intelligence feed integration pipelines connecting STIX/TAXII feeds, open-source threat intel, and commercial TI platforms into SIEM and security tools for real-time IOC matching and alerting. Use when SOC teams need to operationalize threat intelligence by automating feed ingestion, normalization, scoring, and distribution to detection 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。