「rl」の検索結果

Genereert uit een (semi-)gevalideerd regelrecht-corpus een geloofwaardige service-PoC (burger- + behandelaar-portaal, of een headless beslis-service) en zet die in als validatie-instrument met uitvoeringsexperts — om tastbaar te maken wat nodig is om een wet rechtvaardig in de praktijk te brengen, gezien vanuit de betrokkene. Gebruik dit als workshop-fase ná de logica-/scenariovalidatie (audit-products) om de dienstverlening-kant te valideren: welke service impliceert de wet, waar zit menselijk oordeel, welke last ligt bij de burger, welke termijnen, waar is de wet hard of onduidelijk. Dossier-agnostisch; de regelrecht-methode (hooks, legal_character, untranslatables, source/implements, type_spec, receipts) is de vaste taal. Voor de logica-/scenariovalidatie zelf: zie de zusterskill regelrecht-audit-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。

Publish HTML frontend projects to the PushWebly publishing platform, list published projects, obtain shareable project URLs, change a published app's public/private visibility, and package published HTML projects into Android APKs. Use when Codex needs to publish a local zip project, publish and build an APK, build an APK for an existing published project, toggle an app between public and private, list a user's published projects, or log in/register for this publishing platform. Codex should use HTTP APIs with curl when remote MCP tools are not mounted.

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。

Publish HTML frontend projects to the PushWebly publishing platform, list published projects, obtain shareable project URLs, change a published app's public/private visibility, and package published HTML projects into Android APKs. Use when Codex needs to publish a local zip project, publish and build an APK, build an APK for an existing published project, toggle an app between public and private, list a user's published projects, or log in/register for this publishing platform. Codex should use HTTP APIs with curl when remote MCP tools are not mounted.

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。

Wire the Prisma Next runtime — `db.ts` setup using `postgres<Contract>(...)` from `@prisma-next/postgres/runtime`, `sqlite<Contract>(...)` from `@prisma-next/sqlite/runtime`, or `mongo<Contract>(...)` from `@prisma-next/mongo/runtime`; middleware composition (telemetry from `@prisma-next/middleware-telemetry`; lints and budgets), `DATABASE_URL` config, per-environment branching, switching between Postgres, SQLite, and Mongo façades. Use for db.ts, postgres(), sqlite(), mongo(), middleware, telemetry, lints, budgets, DATABASE_URL, .env, connection pool, poolOptions, dev vs prod config, transactions, db.transaction, read replicas, multi-database, script won't exit, hangs, close connection, db.end, db.close, pool.end, [Symbol.asyncDispose], await using.

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。

Work with BioReason-Pro predictions and reasoning traces for protein function. Use when: comparing BioReason outputs against curated reviews, converting web exports to YAML, reviewing reasoning trace quality, or running the SFT/RL comparison. Triggers: "bioreason", "GO-GPT predictions", "reasoning trace review", "bioreason comparison", "SFT vs RL".

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。

Detects insecure network communication in mobile apps (Android/iOS). Trigger on: cleartext HTTP, TLS misconfiguration, certificate pinning bypass, hostname verification disabled, allowCleartextTraffic, NSAllowsArbitraryLoads, ATS exceptions, custom TrustManager, ALLOW_ALL_HOSTNAME_VERIFIER, TLS 1.0/1.1, weak cipher suites, certificate pinning absent, Network Security Configuration, onReceivedSslError, SSLSocket, OkHttp, NSURL, URLSession, certificate transparency, HSTS, MITM. Covers MASVS-NETWORK-1 (TLS required) and MASVS-NETWORK-2 (certificate validation).

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。

Identify Open Redirect vulnerabilities where applications route users to arbitrary external URLs based on unvalidated input. Prove maximum impact by chaining Open Redirects with OAuth token theft, SSRF, or Phishing, graduating this typically low-risk finding into a high-severity report.

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。

Exploit path traversal and local/remote file inclusion (LFI/RFI) via URL parameters, cookies, and hidden fields using ../ sequences, URL encoding (%2e%2e%2f), double encoding (%252e%252e%255c), Unicode bypasses (..%c0%af), and Windows UNC paths. PHP include/require with $_GET/$_POST/$_COOKIE pattern. Target /etc/passwd, boot.ini, web.config. Tools: DotDotPwn, WFuzz, Burp Suite, ZAP.

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。

Detects insecure platform interaction in mobile apps (Android/iOS). Trigger on: exported Activity, exported Service, exported BroadcastReceiver, Content Provider, Intent injection, deep link hijacking, WebView JavaScript enabled, JavascriptInterface, addJavascriptInterface, setJavaScriptEnabled, intent:// scheme, file:// scheme, WKWebView, WKScriptMessageHandler, UIPasteboard, URL scheme hijacking, Universal Links, PendingIntent, FLAG_IMMUTABLE, overlay attack, tapjacking, screenshot prevention, FLAG_SECURE, Broadcast sniffing, IPC data exposure. Covers MASVS-PLATFORM-1/2/3.

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。

CRLF injection playbook. Use when user input reaches HTTP response headers, Location redirects, Set-Cookie values, or log files where carriage-return/line-feed characters can split or inject content.

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。

Test horizontal and vertical authorization bypass via session ID swapping between accounts, IDOR through parameter manipulation (invoice=, user=, menuitem=, EventID=), and special header injection (X-Original-URL, X-Rewrite-URL, X-Forwarded-For, X-Remote-IP, X-Client-IP with 127.0.0.1/localhost/RFC1918 values). Tools: Burp Suite with Autorize/AuthMatrix extensions, OWASP ZAP Access Control Testing add-on.

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。

Toggle the badges-page Honesty Mode build-time flag on or off. ON makes the README badge generator emit direct /badges/_assets/<handle>/<file>.svg URLs (no Cloudflare Worker, no ?repo= validation). OFF restores worker-validated URLs. Use when the user says "/honesty-mode on", "/honesty-mode off", "turn honesty mode on/off", or asks for the current honesty-mode state.

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。

Uncensored open-model inference on Featherless AI — raw model behavior for research and evaluation.

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。

Full-funnel paid advertising operations for B2B SaaS. Use this skill for PPC strategy, Google Ads optimization, LinkedIn Ads, social media advertising, programmatic buying, creative strategy, creative concept diversity for Meta Advantage+ (why six variants of one ad are not a diverse library, and what to brief instead), creator-made ad creative on a spend-share deal, attribution modeling, budget allocation, budget pacing and planned-vs-delivered reconciliation, audience overlap and campaign self-competition audits, suppression lists, ROAS improvement, media spend optimization, and the media no auction sells — newsletter and podcast sponsorships, community and industry-publication placements, paid review-site listings on G2 and Capterra, and pay-per-lead content syndication. It also covers buying on the AI answer surface — ads inside Google AI Overviews and AI Mode that existing Search, Shopping and Performance Max campaigns already serve into with no opt-out, no placement targeting and no segmented reporting, and ChatGPT Ads and Microsoft Copilot as separate opt-in platforms with their own plan-tier reach limits, no negative keywords, and a landing-page crawler gate. It also owns the conversion signal the bidding algorithms learn from — CRM pipeline stages (SQL, opportunity, closed-won) sent back to Google Ads, LinkedIn, Meta and Microsoft Ads through offline conversion import, enhanced conversions for leads, the Google Data Manager API and the LinkedIn Conversions API, with click-ID capture, stage values, dedupe, EEA consent signals and retractions. It also gates connected TV (CTV) and streaming video for B2B — whether a reach medium belongs in the plan, how a vendor ties a TV household to a target account (member data, IP-to-account graph or contextual), the server-side ad insertion (SSAI) fraud questions, Programmatic Guaranteed deals, and a holdout lift test because CTV has no click. It also runs person-led paid social — LinkedIn Thought Leader Ads and Meta partnership ads that put spend behind an employee's or creator's post — on a paid-usage term, an in-post disclosure check and an end-date register, because the platform approval carries no term. Also triggers on: CTV, connected TV, OTT, streaming TV ads, should we run CTV, LinkedIn CTV, B2B CTV, account-based CTV, SSAI fraud, thought leader ads, boost an employee's post, sponsor a creator's post, partnership ads, whitelisting, creator usage rights, PPC, Google Ads, LinkedIn Ads, social ads, programmatic, ad creative, attribution, media budget, paid campaigns, ROAS, CPA, ad spend, newsletter sponsorship, podcast sponsorship, community sponsorship, sponsor a newsletter, content syndication, pay-per-lead, cost per lead vendor, media kit, rate card, insertion order, direct buy, publisher partnership, make-good, G2 paid listing, Capterra ads, review site advertising, sponsorship ROI, budget pacing, we underspent our budget, are our campaigns competing with each other, audience overlap, self-competition, campaign cannibalization, suppression list, exclusion list, ad frequency across channels, how many ad accounts do we have, ads in AI Overviews, AI Mode ads, ChatGPT Ads, OpenAI Ads Manager, Copilot ads, conversational ads, should we advertise on ChatGPT, can we buy our way into the AI answer, our ads are showing in AI Overviews and we cannot report on it, context hints, OAI-AdsBot, our ad landing page fails review, robots.txt is blocking our ads, our paid leads are junk, Google Ads is optimizing for the wrong leads, offline conversion import, OCI, enhanced conversions for leads, send CRM stages back to Google Ads, upload SQLs to LinkedIn, LinkedIn Conversions API, LinkedIn CAPI, Meta conversion leads, CRM to ad platform, gclid, li_fat_id, msclkid, value-based bidding, optimize for pipeline not form fills, low match rate, conversion lag.

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 orchestrator for B2B SaaS marketing campaigns using the CATALYST framework (Coordinated Agents for Targeted, Analytics-Led, Year-round SaaS Transformation). Coordinates 90 specialist agents across 17 marketing disciplines. Use this skill for ANY large-scale marketing initiative: full GTM launches, annual marketing plans, multi-channel campaigns, quarterly planning, or any task requiring coordination across content, SEO, paid media, social, email, design, sales enablement, product marketing, analytics, project management, and client operations. Also triggers on: marketing strategy, campaign plan, GTM launch, quarterly plan, marketing ops, full-funnel campaign, marketing audit, growth plan.

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 the narrative team: coordinates narrative-director, writer, world-builder, and level-designer to create cohesive story content, world lore, and narrative-driven level design.

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。

Stores, retrieves, and manages data as objects in Cloud Storage (Google Cloud Storage, or GCS) buckets. Use when you need to interact with Cloud Storage — create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed URLs, control access (IAM, ACLs, public access prevention), set storage classes and tiering (Standard, Nearline, Coldline, Archive), manage cost and lifecycle, protect data (versioning, encryption/CMEK, retention and Bucket Lock, object holds, soft delete), host static websites, trigger Pub/Sub notifications on object changes, mount buckets as a file system (gcsfuse), or optimize storage performance at any scale. Covers the gcloud storage / gsutil CLI, JSON and XML APIs, client libraries, Terraform, and Cloud Storage MCP servers. Don't use for block storage (Persistent Disk), data warehousing/analytics (BigQuery), or databases (Cloud SQL, Spanner, Bigtable, Firestore).

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。

Discovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents. Use when architecting multi-cloud storage infrastructure (Cloud Storage, AWS S3, Azure Blob), establishing ingestion and AI serving subsystems, configuring Cross-Cloud Interconnect, or deploying Gemini Enterprise Agent Platform and BigQuery data agents. Don't use for single-cloud data warehouses, or when the focus is on Knowledge Catalog metadata governance and Spark-driven IDE analytics workflows (use google-cloud-solution-agentic-analytics-spark-knowledge-catalog instead).

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。

Discovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine). Use when designing data science and analytics workflows across structured and unstructured distributed data (including in S3, Azure Blob, AlloyDB, and Iceberg), establishing metadata governance with Knowledge Catalog aspect types, or grounding agentic IDEs (VS Code, Antigravity) by using the Google Cloud Data Agent Kit. Don't use for provisioning borderless data lakehouse infrastructure (use google-cloud-solution-agentic-ai-borderless-data-lakehouse instead).

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 a structured Quarterly Business Review deck for a customer account. Use when user says "QBR", "quarterly business review", "prep my QBR", "build the deck", "renewal prep", "executive check-in", "90-day review", or "customer business review" - even if they don't use the acronym. Applies to CSMs preparing for executive-level customer meetings focused on value delivered, health, and next quarter alignment.

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。

Convert Confluence pages to clean GitHub-Flavored Markdown files. Use this skill whenever the user wants to pull a Confluence page into the local repo, convert Confluence content to markdown, download a spec from Confluence, or batch-convert multiple pages. Also triggers on Confluence URLs, page IDs, or phrases like "pull this page", "download this spec", "confluence to md". Use this even if the user just pastes a Confluence URL and says something vague like "get this" or "convert this".

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 a task needs the judgment of an airline pilot — checking whether an ETOPS diversion-time rating still holds against a current MEL downgrade, deciding whether to accept or query a dispatch release, applying sterile-cockpit discipline and Pilot Flying/Pilot Monitoring role separation on a two-pilot flight deck, resolving a captain-dispatcher operational-control disagreement, or checking Part 117 flight-duty-period legality against an irregular-operations delay.

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。

Analyze internal link structure by crawling a domain. Identifies orphan pages, underlinked pages (configurable heuristic, default fewer than 3 inbound links), and broken internal links. Suggests anchor text for top 5 underlinked pages. Reuses existing fetch/parse scripts. Optional Ahrefs enrichment. Use when user says "internal links", "link structure", "orphan pages", "internal linking", "link graph", "anchor text audit".

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。

Discover a domain's top organic competitors from Ahrefs: competing domains, keyword overlap count, shared keywords, and unique competitor keywords. Use when user says "Ahrefs competitors", "organic competitors", "competing domains", "keyword overlap", or "who competes with".

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。