8,066 件 ・ 関連度順
Reference for the diagnostics pipeline (ripdpi-monitor-engine/ripdpi-diagnostics-* and core/diagnostics). Use when changing ScanRequest/ScanReport, ProbeTask families, probe scheduling, the catalog, or the wire contract. Techniques: desync-engine.
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。
Author or modify a build-logic convention plugin. Use when changing plugin internals, the diagnostics catalog, or Rust-native wiring. Not for adding a dependency/module (gradle-build-system) or version bumps (dependency-update).
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。
RIPDPI's edge-to-edge and window-inset rules for Compose screens, scaffolds, sheets, and the single enableEdgeToEdge() call site. Use for insets, system bars, or edge-to-edge layout here.
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。
Bump a Gradle or Rust dependency version. Use when editing libs.versions.toml, native/rust/Cargo.toml, or reviewing a Renovate PR. Not for adding a module or plugin (gradle-build-system, convention-plugin-development).
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。
Reference for the DPI desync pipeline (ripdpi-config/-desync/-desync-runtime/-proxy-runtime). Use when changing TcpChainStep/UdpChainStep, offsets, fake-packet/TTL/TLS-prelude behavior, or a candidate's technique. Scheduling: diagnostics-system.
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 a Meta-Harness-style optimization loop NATIVELY — automatically search over the scaffolding around a FIXED base model (memory, retrieval, context construction, prompt templates, summarization, tool-selection logic) by proposing candidate variants, scoring each on a cheap deterministic eval, and keeping a Pareto frontier of quality vs cost — using native Agent / Workflow / loop tools instead of a standalone Python harness. Use this whenever the user wants to optimize, evolve, tune, distill, or search over a harness, scaffold, prompt system, memory or retrieval policy, context-assembly code, or summarizer while keeping the model fixed; whenever they mention Meta-Harness, harness optimization, scaffold evolution, automatic prompt/memory optimization, an evolutionary or Pareto search over candidate implementations, or "make the harness/agent better without retraining"; and whenever the gain must come from the code AROUND the model rather than the model weights. Reproduces the Meta-Harness paper's method natively, with no claude_wrapper.py and no metered solver API.
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。
Implement and audit SaaS billing systems, subscription state machines, secure webhooks, and local database synchronization / Implementasi dan audit sistem billing SaaS, state machine langganan, webhook aman, dan sinkronisasi database lokal.
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 TypeScript 5.8+ advanced type system, strict mode, generics, utility types, branded types, inferred type predicates, isolated declarations, and type-safe architectural patterns / Panduan ahli untuk sistem tipe TypeScript 5.8+, mode strict, generics, utility types, branded types, inferred type predicates, isolated declarations, dan pola arsitektur type-safe.
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。
Grants the AI the ability to act proactively using native cron/timer scheduling. The agent can monitor systems, poll APIs, or watch logs in the background and self-trigger without waiting for user prompts.
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 designing and orchestrating multi-agent systems, agent swarms, 2026 Anthropic agentic design patterns, graph-based workflows (LangGraph, OpenAI Agents SDK, Google ADK, Mastra.ai), shared state memory, and human-in-the-loop guardrails in English and Indonesian.
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。
Methodological guide for the AI Agent to safely and systematically translate, refactor, and modernize giant legacy codebases (PHP, Python 2, old React) into modern stacks.
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-level fullstack development guide covering multi-language (TypeScript, Python, Go, Rust), API design (OpenAPI 3.1, gRPC), microservices, system design patterns, and polyglot architecture / Panduan fullstack tingkat ahli mencakup multi-bahasa, desain API, microservices, dan arsitektur polyglot.
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。
Sichtbarkeit, Zitierung und Empfehlung in KI-Antwortsystemen für Deutschland und den DACH-Raum evidenzbasiert prüfen und verbessern. Nutze diesen Skill, wenn eine Marke oder Seite in KI-Overviews, ChatGPT, Perplexity, Gemini oder Copilot auftauchen soll, wenn Crawler-Freigaben für KI-Bots, llms.txt, strukturierte Daten oder die Extrahierbarkeit von Inhalten zu bewerten sind, oder wenn jemand nach AEO, GEO oder LLMO fragt. Trennt Abruf, Zitierung, Erwähnung und Empfehlung, prüft Behauptungen über KI-Rankingfaktoren gegen Primärquellen und verspricht keine Sichtbarkeit. Für klassisches technisches SEO ist seo-audit zuständig.
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。
Marketingbilder rechtebewusst planen, erzeugen, bearbeiten, optimieren und prüfen. Nutze diesen Skill für Bildbriefings, Produktscreenshots und Mock-ups, generative Bilder, Stock- und Lizenzrouten, Bildbearbeitung, Formate und Komprimierung sowie deutsche Alt-Texte. Klärt Herkunft und Nutzungsrechte vor der Produktion, beachtet Persönlichkeits-, Marken- und Urheberrecht, verlangt Kennzeichnung wo nötig und schließt erfundene Produktansichten und unbelegte Bildaussagen aus. Nicht gedacht für Logos, Design-Systeme und Layoutarbeit.
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。
Systematic debugging method: 5-step root-cause analysis (capture, isolate, hypothesize, investigate, fix & verify) plus common bug-pattern reference. Use when errors, exceptions, test failures, or unexpected behavior appear. Loaded automatically by the debugger agent.
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。
Autonomous novel writing CLI agent with web workbench (JiaOS Studio) - use for creative fiction writing, standalone short-fiction packages, cover generation, novel generation, style imitation, chapter continuation/import, EPUB export, AIGC detection, and fan fiction. Native English support with 10 built-in English genre profiles (LitRPG, Progression Fantasy, Isekai, Cultivation, System Apocalypse, Dungeon Core, Romantasy, Sci-Fi, Tower Climber, Cozy Fantasy). Also supports Chinese web novel genres (xuanhuan, xianxia, urban, horror, other). Multi-agent pipeline, two-phase writer (creative + settlement), stronger long-form chapter craft rules, hook-ledger payoff checks, 33-dimension auditing, token usage analytics, creative brief input, structured logging (JSON Lines), multi-model routing, custom OpenAI-compatible provider support, and JiaOS Studio web UI for visual book management, short-fiction runs, cover generation, chapter review, real-time writing progress, market radar, and analytics.
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。
Expert-level insurance systems, underwriting, claims processing, actuarial analysis, risk assessment, and insurtech solutions
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 should be used when the user asks for an "insurance briefing", "sigorta brifing", "insurance digest", "sigorta haberleri", "insurance news summary", or wants to understand the editorial philosophy behind the insurance briefing system. Also triggers when the user mentions "insurance briefing plugin" or wants a curated daily overview of the Turkish insurance sector.
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。
HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.
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。
HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.
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。
RxMemberSim generates realistic synthetic pharmacy data for testing PBM systems, claims adjudication, and drug utilization review. Use when user requests: (1) pharmacy claims or prescription data, (2) DUR alerts or drug interactions, (3) formulary or tier cohorts, (4) pharmacy prior authorization, (5) NCPDP formatted 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。
HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.
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 finance skill suite for a mid-20s dual-income couple in Ho Chi Minh City. Covers budgeting, emergency fund building, investments, insurance, tax optimization, goal planning, and couple dynamics — all calibrated to Vietnam's financial ecosystem. Use when the user asks about budgeting, saving, investing, insurance, taxes, or financial goal planning — trigger phrases include "review our budget", "how should we invest", "do we have enough insurance", and "plan for a home purchase". Use even if the user only mentions one financial topic without asking for a full 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。