3,572 件 ・ 関連度順
概要と使いどころ
Use when handling PyQt/PySide6 threading - QThread patterns, QThreadPool/QRunnable, thread safety rules, moveToThread, Qt Concurrent, QTimer, testing threaded code, lifecycle management
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。
Native WebSocket API patterns, connection lifecycle, reconnection strategies, heartbeat, message typing, binary data, custom hooks
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。
Vue 3 Composition API — reactivity primitives, composables, lifecycle, the 3.4+ and 3.5+ macros. Load when writing Vue 3 components or composables.
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。
Socket.IO v4.x client patterns, connection lifecycle, reconnection, authentication, rooms, namespaces, acknowledgments, binary data, TypeScript 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。
Service Worker lifecycle, caching strategies, offline patterns, update handling, precaching, runtime caching
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-native HTTP framework — routing, TypeBox validation, Eden Treaty, plugins, lifecycle hooks
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。
Multi-window management, WebContentsView, BaseWindow, window lifecycle, inter-window communication, state persistence
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。
Native MongoDB driver (the mongodb npm package) - MongoClient lifecycle, typed collections, CRUD result shapes, cursors, aggregation pipelines, index design, transactions
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。
Open-source headless CMS — content type schemas, REST API, Document Service API, custom controllers, lifecycle hooks, authentication, TypeScript
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。
Product management workflows covering the full work lifecycle — discovery, strategy, execution, launch, and growth. Write PRDs, plan OKRs, and structure meeting notes. Useful beyond PMs — applicable to any knowledge worker managing projects, stakeholders, or strategy. Triggers: /write-prd, /plan-okrs, /meeting-notes
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, analyze, and document A/B tests for conversion, onboarding, pricing, lifecycle, and product experiments. Use when the user asks for `/ab-test-setup`, experiment design, sample size, statistical significance, A/B test analysis, ICE-scored test backlogs, or avoiding common testing mistakes.
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。
Upgrade Prisma Next in your extension. Bumps every `@prisma-next/*` dependency to the requested target (or npm `latest`), runs the per-transition upgrade instructions for the extension SPI (middleware lifecycle, codec / migration-tools / framework-components churn, seed-migration on-disk shape), verifies the pins are correctly exact via `prisma-next-check-pins`, runs the extension's own typecheck and tests, and commits each minor step on its own. Use when the user asks to "upgrade Prisma Next" in an extension package, or to update an extension's `@prisma-next/*` deps to a new minor.
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。
Triage the Gaia issue backlog and skill-batch intake queue. Use this skill when someone asks to: "triage issues", "clean up the issue tracker", "review the backlog", "close stale issues", "process the intake queue", "review skill-batches", "evaluate draft skill proposals", "approve or reject pending skills", "is this issue still valid?", "what's clogging the backlog?", "run a triage pass", or /gaia-triage. Covers two workstreams: (1) GitHub issue lifecycle — identifying resolved, stale, or need-more-info issues and acting on them via gh CLI; (2) skill-batch intake — evaluating draft proposals in registry-for-review/skill-batches/ and routing them toward promotion or rejection. This is the gatekeeping step before new skills enter the canonical registry; and (3) a cross-repo triage sweep — sizing, P0-P4 prioritization, umbrella/epic synthesis, and assignment across every gaia-research org repo, on the one headquarters tracker.
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。
Measure CI churn cost for a pull request: how many commits and how many CI-compute seconds were burned on avoidable "fix the CI" push rounds. Use when you want to understand the efficiency cost of a PR's iteration cycle, get actionable pre-push check suggestions, or include a churn summary in a pipeline report. Triggers: "ci churn", "how much CI did we burn", "avoidable commits", "ci efficiency", "wasted CI time", "churn report", "/ci-churn". Called automatically by /fp-drift at pipeline close.
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 Test-Driven Development (TDD) in VS Code extension development following t-wada methodology. Use when writing tests before implementation, creating comprehensive test suites, implementing Red-Green-Refactor cycles, or improving test coverage for extension components like WebViews, terminal managers, and activation 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。
The acceptance bar for anything Pulp can install (a `pulp tool` registry entry, `pulp add` package, or any downloadable). Validate the FULL lifecycle — install AND uninstall, from OUTSIDE a Pulp checkout, with the installed-user's binary — before its README or docs ship. TRIGGER when adding/editing tools/packages/tool-registry.json, a new binary_download/python_pip/npm_package tool, a `pulp add` importer, or writing docs that tell users to install something.
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。
Meet EU Cyber Resilience Act vulnerability duties — coordinated disclosure, SBOMs, and lifecycle security for digital products.
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。
Apply color theory with palette building, harmony, psychology, contrast, and accessibility standards.
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。
Practice AI safety across the lifecycle — risk assessment, alignment concepts, evaluation, deployment safeguards, and governance. Use when building or deploying AI systems responsibly.
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 fleets of local AI agents: lifecycle, monitoring, task assignment, and resource control. Use when running multiple CLI agents via an orchestrator like AI Maestro.
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。
Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many people should I interview, thematic saturation, voice of customer, jobs-to-be-done, buyer persona research, is this finding real, data enrichment, which enrichment provider should we buy, waterfall enrichment, contact data quality, match rate, our list data is bad, email verification, catch-all domain, accept-all, bounce rate from bad data, B2B data decay, how often should we re-verify contacts, ZoomInfo vs Apollo vs Clearbit evaluation, cost per usable record, where did this list come from, GDPR Article 14 notice, purchased list compliance, suppression screening, TAM list building, demand planning, marketing plan, how many leads do we need, what pipeline target should marketing carry, funnel model, top-down vs bottom-up plan, plan of record, annual marketing planning, quarterly planning, pipeline coverage we have to create, sales cycle lag, our leads cannot close this quarter, carry-in pipeline, scenario planning, conservative moderate aggressive forecast, stretch target, reforecast, re-forecast triggers, assumption register, capacity ceiling, addressable audience ceiling, marginal cost per lead, blended CPL is wrong, we missed plan and nobody knows why, AI policy for the marketing team, AI governance, AI acceptable use policy, which AI tools are we allowed to use, can I paste customer data into ChatGPT, shadow AI, AI use register, human review of AI output, when can we stop reviewing every AI draft, can the agent send on its own, the AI made a mistake now what, pull back AI autonomy, AI evals, our AI vendor changed the model, AI output went out wrong, prompt injection, can our AI read prospect replies safely, lethal trifecta, the AI leaked internal notes, turn off auto-generated ad assets, auto-applied recommendations, AI literacy training, EU AI Act Article 4, duplicate records in the CRM, dedupe before import, which value wins in a merge, CRM cleanup.
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。
Reviews YUP audio plugin code for YUP-specific correctness issues: AudioProcessor lifecycle, AudioParameterBuilder and AudioParameterHandle usage, editor gestures, AudioBusLayout handling, CLAP/VST3 wrapper contracts, state recall, and MIDI safety. Use when the user asks to review a YUP plugin, check a processBlock, audit parameter smoothing, or asks "is this YUP code safe?". Trigger when you see yup::AudioProcessor, yup_audio_plugin, AudioParameterBuilder, AudioParameterHandle, AudioProcessorEditor, or createPluginProcessor in the code.
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 an existing mathematical, logical, algorithmic, or technical proof from its stated conclusion backward as a bounded AND/OR graph of exact obligations. Use to reconstruct conclusion dependencies, determine whether a proof-supplied route establishes the conclusion, or expose hidden assumptions, unmet side conditions, cycles, overly strong steps, or silent route switches. For a source-mapped Lamport rendering use convert-lamport, and for forward hierarchy, construct, and scope conformance use forward-lamport before this skill. This does not decide full theorem-level entailment by searching for a different proof; do not turn the audit into a linear reversed proof, exhaustive proof search, or replacement proof.
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。
Download the actual PDF binary from bot-gated sites (taxpolicycenter.org, urban.org, SSRN-hosted mirrors, think-tank/publisher sites) via the Wayback Machine id_ URL form. Use when: (1) curl/WebFetch of a .pdf URL returns HTML instead of a PDF even with a browser User-Agent, (2) pypdf fails with "invalid pdf header: b'<!DOC'" or "EOF marker not found" on a freshly downloaded file, (3) Firecrawl can parse the PDF to markdown but you need the original file on disk (e.g., filing a reference copy).
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。