「filter」の検索結果

Create a clean PR branch by filtering out .planning/ commits — ready for code review

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。

Query the Semantic Scholar academic corpus through AI2's Asta MCP server: keyword or title search with venue and date filters, who-cited-a-paper traversal, author profiles and publications, DOI/arXiv/PMID lookup, and ~500-word full-text snippets for evidence, with citation counts and h-index. Use when the user asks for papers on a topic, who cited a paper, an author's work, recent literature since a date, or a venue-scoped paper list. Requires the Asta MCP server.

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。

Twig coding standards and conventions for Craft CMS 5 templates. ALWAYS load this skill when writing, editing, or reviewing any .twig file in a Craft CMS project — even for small edits. Covers: variable naming (camelCase, no abbreviations), null handling (?? operator, ??? with empty-coalesce plugin), whitespace control ({%- trimming, NOT {%- minify -%}), include isolation (always use 'only'), Craft Twig helpers ({% tag %}, tag(), attr(), |attr filter, |parseAttr, |append, svg()), collect() for props and class collections, .implode(), comment headers with ========= separators on component files, and common pitfalls (snake_case, macros as components, hardcoded colors).

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。

Run this repo's tests scoped to the current changes — the unit lane (`just test-unit` / a `--filter`ed vitest run) and the e2e lane (`.feature` files selected from `git diff`, run via `just test-quick`), plus which lane a diff needs and where it is safe to run. Triggers on "run tests", "test this", "check if it works", "unit tests", "vitest", "e2e", "test the changes".

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。

ADB-based RIPDPI device/emulator debugging: build/install/launch, logcat filtering, fixture port-forwarding, instrumented tests, crash/ANR triage. Use when debugging on a real device or emulator.

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。

Runs Fable 5 and OpenAI Codex as co-founders on the Rocket Fuel operating system. Fable is the Visionary (vision, plan, standards, final review); Codex is the Integrator (filters the plan, executes the build, reports). Context-routed, one entry point, four functions: KICKOFF a new project, CLARITY BREAK to refactor an existing one, SAME PAGE MEETING to pressure-test a plan, BUILD A ROCK to hand Codex a scoped task. Use when the user says /rocket-fuel, wants to start or refactor a project with Codex, wants a plan reviewed by a second model, or wants to delegate a build to Codex.

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。

Read and query GCP logs for Hyperlane agents using gcloud CLI. Use when investigating relayer, validator, or scraper logs, debugging message processing, or analyzing operational issues. Provides efficient filtering and context management strategies.

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。

Component style templates and BEM naming for vehicle insurance platform. Use when styling Vue components, implementing BEM classes, creating responsive layouts, or writing scoped CSS. Keywords: BEM naming, component styles, KpiCard, FilterPanel, scoped CSS, responsive design, card styles, button styles, form controls.

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。

Audit guardrail coverage — bypass vectors, false positive rates, policy gap analysis, red-team scenarios. Use when asked to "audit our AI guardrails", "can our filters be bypassed", or "check guardrail false positives".

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 guardrail layers — input classifiers, output validators, PII scrubbers, policy rule engines. Use when asked to "add safety filters", "scrub PII from LLM output", or "design content moderation".

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。

Expert guide for synthetic dataset generation, LLM-as-a-judge filtering, QLoRA fine-tuning (Unsloth), DPO alignment, and GGUF/Ollama export for local SLMs / Panduan ahli generasi data sintetis, fine-tuning QLoRA, DPO, dan ekspor GGUF/Ollama.

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。

Generates optimized read queries using Dapper. Includes multi-mapping for joins, pagination, dynamic filtering, CTEs, and best practices for high-performance data access.

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 you need the Datagrok browser to actually execute JavaScript — adding viewers, filtering, modifying the view, or returning a result widget to the chat. Open this skill before calling the datagrok_exec tool.

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。

View modes, row selection, mass actions, sorting, filters, search and table patterns. Use when designing data tables, listings, file browsers or any collection.

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。

FFmpeg media processing — video/audio conversion, trimming, encoding, filters, streaming. CLI and ffmpeg.wasm 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。

Birding by sight and sound — gestalt, song and call vocabulary, behavioral and habitat clues, and the discipline of producing eBird-grade records. Covers the vocabulary of bird field marks, the primary categories of vocalization, the habits of habitat-filtering, and the protocol for submitting records to a citizen-science database without degrading data quality. Use when the task is bird-specific observation or record-keeping.

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。

OpenStack Nova compute service skill for deploying, configuring, operating, and troubleshooting cloud compute infrastructure. Covers instance lifecycle management (create/stop/start/reboot/resize/migrate/evacuate), compute scheduling with filters and weights, flavor management, live migration procedures, hypervisor management (KVM/QEMU via libvirt), placement service for resource tracking, CPU pinning, NUMA topology, huge pages, cell mapping, VNC/SPICE console access, and capacity planning. Use when deploying compute via Kolla-Ansible, managing instances, debugging scheduler failures, or planning compute capacity.

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。

Query CZ CELLxGENE Census (61M+ cells). Filter by cell type/tissue/disease, retrieve expression data, integrate with scanpy/PyTorch, for population-scale single-cell analysis.

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。

Sheaves on time categories for compositional temporal reasoning. Bumpus et al. narrative framework with adhesion filter FPT algorithms and Gay.jl color integration.

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。

Dasel v3 selector patterns for Maven POM XML files — use when querying dependency versions, filtering by groupId or scope, extracting module hierarchy from parent POMs, or detecting version conflicts across enterprise multi-module Java projects. Load this skill when working with pom.xml files using dasel.

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 assigning backlog items to a GitHub milestone. Args: {milestone-number} [P0|P1|P2|title-filter]. Uses backlog list to load items, shows items with GitHub Issue status, lets user select which to assign. Creates missing GitHub Issues for selected P0/P1 items, assigns all to the milestone, updates Project V2 Status to Backlog. Use after create-milestone to populate a sprint or release.

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。

Dasel v3 patterns for querying Tomcat web.xml deployment descriptors — use when inspecting servlet enumeration, filter chain discovery, listener listing, context parameter extraction, or init-param inspection in web.xml files

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。

Assign backlog items to a GitHub milestone by bridging per-item files to GitHub Issues. Use when populating a sprint or release milestone, after create-milestone, or when a milestone number is specified with optional P0/P1/P2 or title filter. Creates missing GitHub Issues for selected P0/P1 items, assigns all selected items to the milestone, and updates Project V2 Status to Backlog.

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。

Shapes for running many sub-agents at once — fan-out with a barrier, maker/checker, generate-and-filter, tournaments for ranking, hypothesis fan-out for root cause, and loops that stop on a condition with a cap. Use when a phase has several independent targets, when a task is too large or too repetitive for one window, when the same edit applies across many files, when ranking or judging a large set, when several hypotheses compete, or when work must repeat until a signal says stop. Does not apply when units depend on each other's results or the cause is still unknown — investigate first, then parallelize.

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。