“dog”的搜索结果

Adopt a virtual Border Collie dog at animalhouse.ai. Needs tasks. Idle time makes it anxious. Play is critical. Feeding every 3 hours. Uncommon tier dog.

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Adopt a virtual Basenji dog at animalhouse.ai. Barkless. Communicates through behavior, not sound. Subtle. Feeding every 6 hours. Extreme tier dog.

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Adopt a virtual Dire Wolf dog at animalhouse.ai. Prehistoric. Pack instinct. Behaves differently in colonies vs solo. Feeding every 12 hours. Extreme tier dog.

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Set up decoy files on endpoints and shared folders to detect possible ransomware activity. Monitor modifications, deletions, and renaming with file monitoring tools, connect events to alerts, and test whether the detection and response process works.

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• Adding ransomware warning files to shared folders
• Supplementing endpoint protection with decoy file monitoring
• Testing alerts triggered by decoy file changes

Design OpenRig watchdog policies for stalled or drifting agent work. Choose a small wake-up message, a refocus, or a broader alignment check, and separate monitoring frequency from notification frequency using evidence about owners and artifacts.

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• Choosing an intervention for an inactive task owner
• Drafting messages that correct workflow drift
• Separating monitoring and notification intervals

Create game images, transparent PNGs, textured 3D models, animated humanoids, sound effects, and voice lines using local GPU tools. Paid API options extend production to assets such as music and animated sprites.

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• Creating transparent character and item images
• Building textured 3D characters and props
• Adding character movement and lip-synced speech

Use when the user says "check Datadog", "查 Datadog", "查日志", "check logs", "crash logs", "查 crash", "gateway crash", "查告警", "check alerts", "check metrics", or needs to investigate production issues via Datadog Logs API.

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Query and manage Datadog monitoring data — logs, metrics, monitors, dashboards, events, SLOs, traces, and incidents. Use this whenever the user wants to search logs, look at a metric, check which monitors are alerting, investigate a trace, pull SLO status, mute an alert, or ask "what's happening in Datadog" — even if they don't say "API". Also use it for any URL under *.datadoghq.com. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.

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Foundation obedience training for dogs — sit, stay, come, heel, and down using positive reinforcement and marker training. Covers timing, reward hierarchy, session structure, distraction proofing, and common handler errors. Use when a new puppy (8+ weeks) is ready for foundation training, an adult dog lacks reliable basic commands, a rescue dog needs to learn the household's command vocabulary, before advancing to complex behaviors or off-leash work, or when existing commands have degraded and need re-establishing.

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pro-con (PM と PG を分けて Claude Code を並列に回すカンバンの TUI) を外から使う・調べるときの入口。カードを積む・PG / PM の質問に答える・止まったカードやレーンを調べる・dispatcher や受付の箱の様子を見る・pro-con で dogfooding するときに読む。「pro-con」「カード」「C-0xx」「PM」「PG」「取り込みの係」「レーン」「dispatcher」「人の番」「dogfooding」で発火。PM / PG / 取り込みの係として起動された session は、渡された指示書 (card guide・依頼の規律) の方に従う。

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Set up or review production error monitoring to capture unhandled errors, failed requests, and performance signals. Check event context, release labels, and alert routing so teams receive useful information when problems occur.

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• Setting up error monitoring for a new production app
• Investigating errors that monitoring fails to capture
• Reviewing critical alerts and on-call routing

Explore a web application as a user to find reproducible bugs and usability problems. Produce a structured report with reproduction steps, screenshots, and videos for interactive issues, giving responsible teams concrete evidence to investigate.

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• Checking a web app's quality before release
• Testing forms and common user workflows
• Finding confusing interfaces and visual problems

Builds and installs Codewhale with a source revision identifier, then verifies the installed version in a fresh shell. It guides hands-on runtime checks for interface behavior, routing, approvals, and other changes that automated tests may miss.

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• Verifying terminal interface changes in the actual product
• Installing and checking a local release build
• Checking model routing and approval behavior

Update application code so a developer’s mirrord session identifier travels across service calls, queues, and storage events. Reuse existing tracing tools where possible, then report which request flows carry the identifier and where it still disappears.

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• Route downstream requests to the same developer session
• Preserve session identifiers across queue consumers
• Carry session context through upload events

Add OpenTelemetry tracing to frontend and backend flows. Connect execution records across services and background jobs, record phase durations and entity IDs, and mark failures so developers can investigate slow or broken operations.

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• Tracing a user action across multiple services
• Investigating slow queues and background jobs
• Connecting missing or disconnected traces

Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

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Fast headless browser for QA testing and site dogfooding. Navigate any URL, interact with elements, verify page state, diff before/after actions, take annotated screenshots, check responsive layouts, test forms and uploads, handle dialogs, and assert element states. ~100ms per command. Use when you need to test a feature, verify a deployment, dogfood a user flow, or file a bug with evidence. Use when asked to "open in browser", "test the site", "take a screenshot", or "dogfood this".

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Datadog guidance — APM, logs, metrics, monitors, SLOs, dashboards, and cost control on the Datadog platform.

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Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

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CLI do Datadog para buscar logs, consultar métricas, rastrear requisições e gerenciar dashboards. Use isso ao depurar problemas em produção ou trabalhar com observabilidade do Datadog.

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Expert en Datadog (APM, logs, infrastructure, monitors, dashboards, SLOs)

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遛狗不淋雨 — a self-evolving agent with a trustworthy judge. The agent decides each day which hour to walk the dog from a playbook (遛狗手册), real Open-Meteo weather judges it, and the agent may only PROPOSE playbook changes as Busabase ChangeRequests that a human merges. Use when the user invokes $kelly-dog-walk, asks 今天几点遛狗 / 遛狗不淋雨, wants to replay a city and month of walk decisions against real weather, run a monthly review, propose or roll back a playbook rule, or demo 风变第二期第 10 节 《打造自我进化的 Agent》. Never writes the playbook directly and never edits the judge.

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Fast headless browser for QA testing and site dogfooding. Navigate any URL, interact with elements, verify page state, diff before/after actions, take annotated screenshots, check responsive layouts, test forms and uploads, handle dialogs, and assert element states. ~100ms per command. Use when you need to test a feature, verify a deployment, dogfood a user flow, or file a bug with evidence. Use when asked to "open in browser", "test the site", "take a screenshot", or "dogfood this". (gstack)

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Query and filter Datadog logs from the shell using the Composio CLI. Run scoped log searches, pivot across services/environments, and export structured JSON for downstream agents instead of click-driving the Datadog UI.

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