「logs」の検索結果

Symbolicate .NET runtime frames in Apple platform .ips crash logs (iOS, tvOS, Mac Catalyst, macOS). Extracts UUIDs and addresses from the native backtrace, locates dSYM debug symbols, and runs atos to produce function names with source file and line numbers. Automatically downloads .dwarf symbols from the Microsoft symbol server using Mach-O UUIDs. USE FOR triaging a .NET MAUI or Mono app crash from an .ips file on any Apple platform, resolving native backtrace frames in libcoreclr or libmonosgen-2.0 to .NET runtime source code, retrieving .ips crash logs from a connected iOS device or iPhone, or investigating EXC_CRASH, EXC_BAD_ACCESS, SIGABRT, or SIGSEGV originating from the .NET runtime. DO NOT USE FOR pure Swift/Objective-C crashes with no .NET components, or Android tombstone files. INVOKES Symbolicate-Crash.ps1 script, atos, dwarfdump, idevicecrashreport.

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 checking deployment health, investigating errors, reading logs, or working with Tiltfiles. Queries Tilt resource status, logs, and manages dev environments.

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 doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, declarative schemas, security audits, Postgres extensions (pg_graphql, pg_cron, pg_vector); debugging and troubleshooting errors or unexpected behavior on Supabase projects (HTTP errors, Postgres errors, RLS surprises, permission denied, schema cache issues, timeouts, Edge Function crashes, Realtime drops, Storage failures) and reading or querying logs (Logs Explorer, ClickHouse).

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Operational knowledge for the daily-brief digest pipeline (this project). RSS/API fetchers, pluggable LLM enrichment (default claude CLI on Max; also anthropic/openai/deepseek/minimax API), trading section, HTML rendering, cross-platform scheduler integration (Windows Task Scheduler / macOS launchd / Linux cron). Load when the user asks about running daily / regenerating sections / debugging a failed run / adding or disabling sources / LLM quota / scheduler / why a tab shows wrong data / why a source failed / switching LLM backend. Always prefer the documented npm commands over re-implementing logic. Diagnose by reading logs/daily-*.log first, then logs/llm-calls.jsonl for LLM-side issues.

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。

Scans HN, Lobsters, Reddit, and tech blogs for community experience reports. Use when gathering practitioner opinions on a technology or approach.

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 Records of Processing Activities automatically from IT system inventories including Active Directory, cloud service catalogs, API gateway logs, and database schemas. Covers automated field population, data flow discovery, and system-to-RoPA mapping. Activate for automated RoPA, system inventory, data discovery, auto-population, IT-driven records.

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。

Diagnose excessive Codex local SQLite diagnostic log writes with read-only evidence by default. Use when a user mentions logs_2.sqlite, logs_2.sqlite-wal, block_log_inserts, SSD/TBW wear, or explicitly asks to protect, clean up, verify, or restore Codex diagnostic logging.

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Fix rsky-pds createRecord/putRecord hanging indefinitely with no error logs. Use when: (1) createSession succeeds but createRecord never returns, (2) No error appears in PDS logs despite request hanging for 60+ seconds, (3) PDS health endpoint works but write operations hang, (4) readiness probes intermittently fail on rsky-pds pod. Root cause: PDS_CRAWLERS env var configures crawler notification URLs that are called via reqwest HTTP client WITHOUT any timeout in crawlers.rs. If the crawler URL is unreachable from the cluster, every write hangs forever. Also: setting PDS_CRAWLERS="" produces [""] (one empty string element) which causes a "builder error" instead — must fully unset the env var.

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。

Automatically generates change logs from git commits, patches, and pull requests. Use when preparing software releases, creating version summaries, or maintaining CHANGELOG.md files. Analyzes commit messages (including conventional commits), diff/patch files, and PR data to produce categorized Markdown change logs organized by type (Features, Bug Fixes, Breaking Changes, etc.). Ideal for release notes, version updates, and automated changelog maintenance.

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 operating, debugging, deploying, or monitoring a Telegram bot or Telegram-to-agent gateway. Triggers on "telegram bot down", "bot not responding", "debug bot", "check webhook", "polling vs webhook", "restart bot", "deploy bot", "bot logs", "agent gateway", "Telegram Bot API error", "send test message", "бот не отвечает", "проверь бота", "логи бота", "перезапусти бота". Covers health checks, logs, webhook/polling diagnostics, environment validation, safe restart/deploy checklists, Bot API smoke tests, forum topic delivery, privacy mode, gateway routing, and incident 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。

Mask, redact, and anonymize sensitive data (PII, PCI, PHI) in databases, logs, and APIs. Use when protecting PII in dev/staging environments, redacting sensitive data from logs, anonymizing data for analytics, or applying k-anonymity and differential privacy for GDPR-compliant data sharing.

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。

Datadog is a hosted observability platform for infrastructure monitoring, application performance monitoring (APM), log management, and alerting. Use when a user needs to set up Datadog agents, create dashboards, configure monitors and alerts, integrate services, or query metrics and logs through Datadog's API.

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Assists with managing versioning and changelogs in JavaScript/TypeScript monorepos using Changesets. Use when automating semantic versioning, generating changelogs from PRs, coordinating multi-package releases, or publishing to npm. Trigger words: changesets, versioning, changelog, npm publish, monorepo release, semver.

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 tamper-evident audit logs for compliance (SOC 2, HIPAA, PCI DSS). Use when building compliance audit trails, tracking who did what and when, or implementing immutable event logs that satisfy regulatory retention requirements.

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。

Summarize noisy logs into likely causes and next steps. Use when a junior developer needs help interpreting logs.

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 managing or interacting with favorite blogs via the BlogWatcher CLI—adding/removing blogs, scanning for new posts, listing articles, marking read/unread, or modifying related CLI behavior, scanning, storage, and 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。

Generate READMEs, API docs, changelogs, and knowledge base articles. Covers README structure with personality, OpenAPI-based API documentation, changelogs from conventional commits, typedoc patterns, and support KB articles.

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 this skill before the first step that uses Claude in Chrome, the browser extension whose tools are named mcp__claude-in-chrome__* (also called Chrome, the browser extension, or the external browser) and which acts in the person's real Chrome with their own sign-ins; before those tools are turned on there may be a single enable__mcp__claude-in-chrome tool instead. It covers loading the tools in one ToolSearch call, checking the person's open tabs and working in a new tab, site permissions, GIF recordings, console logs, dialogs to avoid, and when to stop and ask. It is not for the built-in browser (mcp__Claude_Browser__* or mcp__remote-devices__Claude_Browser__* tools), which has its own skill, and it does not decide which browser to use.

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。

Act as a product-manager copilot that turns evidence into product decisions and artifacts: backlogs and prioritization, PRDs and user stories, metrics and OKRs, experiments, launch plans, feedback triage, and pricing/packaging, kept in a per-product workspace. Use whenever the user wants to decide what to build, spec it, or ship it: "write a PRD for…", "prioritize our backlog", "what should we build next", "plan OKRs", "define our north star metric", "design an A/B test", "plan the launch", "triage this customer feedback", "platform or feature?", in any language ("viết PRD", "ưu tiên tính năng nào", "quản lý sản phẩm", "プロダクト管理", "产品经理"), even when they never say "product manager". Also use when the user returns to a product workspace this skill created (a directory holding `product.md`, `state.md`, and `decisions.md`). Not for deep user discovery (design-thinking), desk market facts (market-researcher), or company-level bets (strategy-board).

Inspect and explain bmad-loop run artifacts under `.bmad-loop/runs/`. Use for live health checks ("is it stuck?", "is the loop alive?", "what is the agent doing?") and post-run forensics ("what happened?", "why did story X fail?", "where did the tokens go?"). Also triggers on "monitor/check/summarize the loop", "why did the run pause?", Vietnamese "theo dõi bmad loop", "phân tích run", "đọc log của run", and equivalent requests in other languages. Use only for bmad-loop's own run artifacts, not application runtime logs or CI-provider build logs.

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。

Insert or read behavior log rows in the local database (behavior_logs). Use when recording a good/bad behavior entry, attaching a Pavlok API response JSON, adding a coach comment, or fetching recent logs via scripts/behavior_log.py.

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。

Universal Digital Immortality Engine — Distill anyone or anything you care about into an interactive digital soul. 给灵魂开个 GitHub。 Trigger whenever user wants to: - Create, distill, or awaken a Relic, digital soul, persona, or clone from chat logs, memories, or voice ("create a relic", "digital twin of my grandma", "preserve memory of pet/team", "帮我唤醒/蒸馏/做个Relic", "保存/纪念XX的记忆", "Relicを作りたい/記憶を保存"). - Talk to, chat with, or remember a loved one, pet, mentor, or companion ("talk to grandma", "chat with my cat", "跟奶奶聊天", "召唤咪咪", "おばあちゃんと話したい"). - Preserve or distill workplace history, team culture, or expert knowledge ("archive team culture", "distill business expert", "飞书/Slack协作记忆蒸馏"). Supports: Humans, Pets, Relationships, Teams, Places, Moments, Public figures, Domain experts.

Image generation, photo editing, background removal — transparent PNG images, cutouts, ecommerce packshots, product catalogs, lifestyle shots via Bria.ai. Build store-ready e-commerce catalogs at scale — shadows, product dimensions images, lifestyle scenes, marketplace listing variants. ALWAYS use this skill when the user wants to generate, edit, or transform any image — hero images, banners, social media visuals, product photos, illustrations, icons, thumbnails, ad creatives, or marketing materials — or to build a product catalog, create a packshot, stage a lifestyle shot, remove a background, make transparent PNGs, or batch-process product photos. Triggers on packshot, product catalog, product shot creator, lifestyle shot, cutout, product dimensions image, inpainting, outpainting, object removal, upscale, photo restoration, style transfer, relight, reseason, sketch-to-photo. Commercially safe, royalty-free.

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。

Repurpose one source asset into platform-specific social media posts while preserving the original idea and adapting format, tone, and call to action. Use when turning blogs, transcripts, changelogs, podcasts, videos, demos, notes, or launch plans into a social content package.

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。