「time」の検索結果

Analyze text data with NLP — preprocessing, embeddings, topic modeling, sentiment, classification, and evaluation. Use when turning unstructured text into structured insight.

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 dashboards with Chart.js: layout, KPI cards, cross-chart filtering, theming, and real-time panels. Use for operational and analytics dashboards.

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。

Plan a structured career change with skill-gap analysis, bridge roles, and a de-risked transition timeline.

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 charts with Chart.js: configuration, plugins, custom tooltips, real-time updates, and dashboard patterns. Use for standard charts in web apps.

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。

Deploy ML models to production with Baseten — high-performance inference with autoscaling and custom runtimes.

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。

Tropospheric and stratospheric chemistry — ozone, aerosols, lifetimes, and reading chemical transport model output.

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。

Master calendar management — time blocking, scheduling hygiene, calendar audits, and executive calendaring.

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。

Bun runtime guidance — fast installs, built-in bundler and test runner, Bun.serve APIs, and migration from Node.

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 your calendar like a pro: timeboxing, calendar layering, meeting hygiene, buffer design, and weekly planning rituals. Use when your schedule feels chaotic or your calendar controls you instead of the reverse.

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。

Learn effectively from courses and academies: choosing programs, studying actively, and converting courses into skills. Use when investing time/money in structured learning.

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。

Orchestrate agents at runtime — task routing, scheduling, parallel execution, result aggregation, and supervision dashboards. Use when running agents as a managed fleet rather than one-off calls.

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。

Developer marketing and developer relations for B2B SaaS with technical audiences. Use this skill when the buyer or user is a developer: documentation as a marketing surface, quickstarts and time-to-first-call, SDKs and sample apps, developer community and DevRel programs, open-source strategy, and technical content that survives engineer scrutiny. Also triggers on: developer marketing, DevRel, developer relations, developer experience, DX, docs, documentation, quickstart, SDK, API marketing, open source strategy, developer community, technical content, dev audience, hacker news, engineering blog.

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。

Burn timed, styled captions into a finished video on the local machine, without re-rendering the source. This is the manual fallback to the API's captioning endpoint, POST /v1/captions, which stays the default path: come here when the style the user wants is outside the API's presets, when the wording has to be hand-corrected before it is burned into the pixels, or when the source was rendered with audio disabled and the API refuses it. Transcribes the audio with Whisper, groups words into reading phrases, renders the captions in a real browser via HyperFrames, and composites them over the source with ffmpeg using a real alpha channel. Use when the user has an MP4 with speech and asks to add captions, subtitles, burned-in text, TikTok-style captions or word-by-word text to it, and the API path has been ruled out. Runs out of band, so it costs no credits and works on any video file whoever generated it. Not for generating video (use the video skills) and not for a separate .srt/.vtt sidecar file.

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 synapse-docs, /simplify, sync-plugin-skills, and github-pages-sync in parallel for synapse-a2a development workflows. Use when you need doc updates, code simplification, plugin skill sync, and site-docs sync at the same time.

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。

This skill provides expert-level guidance for debugging and fixing bugs in VS Code extensions. Use when investigating runtime errors, fixing memory leaks, resolving WebView issues, debugging activation problems, fixing TypeScript type errors, or troubleshooting extension communication failures. Covers systematic debugging workflows, common bug patterns, root cause analysis, and prevention 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。

Summarizes runtime behavior of a sample from Procmon-style operation logs — process and thread creation, file and registry writes, and network-related operations — to build a behavioral profile. Activates for requests to analyze Procmon output, summarize sample behavior, or profile process/file/registry activity from a sandbox run.

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。

Manually unpacks a runtime-packed Windows binary by finding the original entry point (OEP) through tail-jump and entropy analysis, then guiding a memory dump at OEP. Activates for requests to manually unpack a sample, find the OEP, or unpack a custom/unknown packer that generic tools cannot handle.

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。

Hunts for anomalous authentication such as password spraying, brute force, and impossible-travel logons by aggregating Windows logon success/failure events per account and source over time. Activates for requests to hunt anomalous logons, detect password spraying or brute force, or find suspicious authentication 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。

Emulates position-independent shellcode in a controlled CPU emulator (Unicorn) to trace executed instructions, memory writes, and decoded second stages without running it on a real host. Activates for requests to emulate shellcode, trace a decoder stub, or recover a stage unpacked at runtime by shellcode.

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。

Pivots on indicators of compromise across multiple data sources by correlating a seed set of IOCs against logs to find co-occurring indicators, hosts, and timeframes that expand the investigation. Activates for requests to pivot on IOCs, correlate indicators across data sources, or expand an investigation from a seed indicator set.

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。

Analyzes Java/JAR malware (such as Adwind/jRAT-class cross-platform RATs) by inventorying the archive, reading the manifest entry point, detecting obfuscators and string encryption, and flagging suspicious runtime, reflection, and networking class usage. Activates for requests to analyze a malicious JAR, inspect Java malware, or identify a Java RAT.

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。

Offline time-stretch / pitch / varispeed — character modes, fine-tune presets, A/B toolkit, and the honest quality state, so an agent can pick a mode, dial it in, and ship a plugin with it.

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。

Decide whether a Pulp test earns its place — before writing it, when reviewing one, or when sweeping a subsystem for low-value, duplicated, or mis-routed tests. Applies a four-question authoring gate, a junk-pattern list, a retention bar, and an evidence template for any deletion, and routes kept tests to the right lane (required gate, pr-fast, slow, nightly). Handles "should I add a test for this", "is this test useful", "audit these tests", "reduce test time", "which tests can go", and "move toward functional tests".

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。

Route repository-qualified changes across Pulp and Vellum using Pulp's exact ownership projection. Use when a change touches design import, Chromium authoring, DesignIR, visual harness, screenshot, Skia/Dawn, runtime assets, or another path represented by `.github/vellum-ownership.json`; when deciding whether work originates in Pulp or Vellum; or when validating the cross-repository routing contract.

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。