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cccskills

「recovery」の検索結果

611 件 ・ 関連度順

概要と使いどころ

Plans, builds, runs, and analyzes fault injection experiments with AWS Fault Injection Service (AWS FIS) to validate application resilience through chaos engineering. Covers experiment templates (actions, targets, stop conditions), the FIS actions catalog and action selection, the scenario library (AZ power interruption, cross-Region connectivity, EC2/EKS/EBS stress), experiment lifecycle and monitoring, logging and reports, multi-account experiments, the experiment IAM role, and blast-radius safety. Applies when a user mentions AWS FIS or fault injection, asks what experiment to run for a failure mode (AZ, Region, API errors/throttling, instance/pod/DB/cache failure, latency, packet loss), wants to author an experiment template or CLI/CloudFormation, or needs to safely run chaos experiments in pre-production or production. For the broader resilience program across Resilience Hub and ARC, see aws-resilience-lifecycle; for ARC routing controls and zonal shift, see recovery-controller-setup.

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。

aws/agent-toolkit-for-aws2,8652026年10月13日 更新

Guides the end-to-end AWS resilience lifecycle integrating Resilience Hub v2, Fault Injection Service, and Application Recovery Controller. Covers the Define → Test → Operate workflow: from policy creation through failure mode assessment, to FIS experiment validation, to ARC operational controls. Applicable when the user wants a complete resilience strategy, needs to connect findings to experiments to controls, or is planning a resilience program. Also applicable for the meta question of whether marking NGRH findings as resolved is enough, whether they are "done" after resolving findings, or how to validate findings before resolving them. Not applicable for resolving or remediating a specific individual finding (see resilience-hub-failure-mode-assessment), or when a single service is explicitly named (e.g. "what FIS experiment should I run").

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。

aws/agent-toolkit-for-aws2,8652026年10月13日 更新

Diagnose and manage an Algolia-backed search incident with evidence, containment, and reversible recovery. Use when users see failed, stale, slow, or irrelevant search results. Trigger with "Algolia incident", "search outage", or "Algolia degraded".

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。

jeremylongshore/tons-of-skills-marketplace2,8352026年10月13日 更新

Classify Alchemy authentication, JSON-RPC, Data API, throughput, and partial-response failures before applying bounded recovery. Use when an Alchemy integration fails or degrades. Trigger with "Alchemy error", "Alchemy 429", or "debug an Alchemy request".

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。

jeremylongshore/tons-of-skills-marketplace2,8352026年10月13日 更新

Implement Adobe I/O Events registration, challenge validation, authentic delivery, idempotent enqueue, replay operations, and disablement recovery. Use when the task requires adobe i/o events authentic delivery. Trigger with "Adobe webhook", "Adobe I/O Events", or "verify Adobe event".

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。

jeremylongshore/tons-of-skills-marketplace2,8352026年10月13日 更新

Classify Adobe failures from redacted response evidence and select the smallest bounded recovery. Use across auth, Firefly, Photoshop, PDF Services, Events, and App Builder. Use when the task requires adobe response-led error triage. Trigger with "fix Adobe error", "Adobe 403", or "Adobe API failed".

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。

jeremylongshore/tons-of-skills-marketplace2,8352026年10月13日 更新

Define a production Adobe architecture spanning identity, service adapters, async workers, asset custody, I/O Events, App Builder, evidence, and recovery. Use when the task requires adobe integration reference architecture. Trigger with "design Adobe architecture", "Adobe reference architecture", or "standardize Adobe services".

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。

jeremylongshore/tons-of-skills-marketplace2,8352026年10月13日 更新

Analyze and design idempotency, bounded polling, per-service circuits, durable queues, DLQ/replay, degradation, and reconciliation for Adobe workloads. Use when the task requires adobe async reliability controls. Trigger with "Adobe reliability", "Firefly retry design", or "PDF job recovery".

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。

jeremylongshore/tons-of-skills-marketplace2,8352026年10月13日 更新

Organization-grade cloud and supply-chain attack-surface discovery: S3/GCS/Azure Blob bucket discovery via observed-name mining (CNAME/cert-SAN/Wayback) and bounded two-class permutation (6 prefixes x 15 suffixes on trusted tokens, bounded target-bound expansion on subdomain stems), existence (HEAD/GET) vs public-listing confirmation, object-key triage into 9 value tiers (database dumps, credentials, IaC state, kubeconfig, VCS dirs, config, archives, PII, logs), dangling-CNAME bucket-takeover detection, and the ownership-gated severity model that stops an unattributable public bucket from becoming a false CRITICAL; the fully offline AWS-account-ID recovery from a leaked AKIA/ASIA/AROA access key (base32 decode, runnable stdlib Python, canonical test vector, AWS-documentation-example-ID screening); dependency-confusion confirmation for npm/PyPI (internal-signal classifier -- private-registry binding vs org-namespace match -- paired with a read-only public-registry 404 check and the npm scope-claimability nuance the public search API misses); and passive cloud-native/container/Kubernetes/CI control-plane fingerprinting (Lambda URLs, API Gateway, Cloud Run, App Service, kubelet/etcd/K8s API/dashboard, Jenkins/GitLab/Argo CD) as an org-attribution and exposure surface. Passive/discovery only -- no exploitation, no credential submission, no active control-plane confirmation (a stage-6 validate_cloud active tier is described but out of scope). Use when enumerating a target's cloud storage footprint, recovering an AWS account ID from a leaked key, confirming a supply-chain dependency-confusion vector, or fingerprinting cloud-native/K8s/CI infrastructure for an authorized external recon engagement.

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。

elementalsouls/Claude-OSINT2,8112026年10月10日 更新

Diagnose and recover failing or stuck Hugging Face Space deployments for OpenEnv environments. Use when deploying envs from `envs/` to the Hub (`openenv` namespace with version suffixes), when Spaces are in `BUILDING`/`APP_STARTING`/`RUNTIME_ERROR`, or when release collections need to be reconciled after targeted redeploys.

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。

huggingface/OpenEnv2,7022026年10月13日 更新

Advanced git workflows including worktrees, bisect, interactive rebase, hooks, and recovery techniques

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。

rohitg00/awesome-claude-code-toolkit2,6942026年5月12日 更新

svg

無料

Author and edit `.svg` files in a Grida editor session — live-canvas binding, SVG output style, and parse-error recovery. Use when creating or modifying an SVG document.

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。

gridaco/grida2,6712026年10月13日 更新

Authentication bypass testing playbook. Use when assessing login flows, password reset logic, account recovery, MFA bypass, token predictability, brute-force resistance, and session boundary flaws.

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。

yaklang/hack-skills2,4402026年9月13日 更新

When the user's app or update was rejected by Apple App Review or Google Play Review and they need to diagnose why, fix it, and resubmit fast. Use when the user mentions "app rejected", "App Review rejection", "guideline violation", "Apple rejected my app", "Google Play rejected", "Play policy violation", "Resolution Center", "metadata rejection", "binary rejection", "guideline 2.1", "guideline 4.3", "guideline 5.1.1", "Sign in with Apple required", "Apple ID rejection", "Play Store suspension", "appeal", "I need to respond to App Review", or "expedited review". For pre-submission listing health, see aso-audit. For metadata-only fixes, see metadata-optimization.

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。

appeeky/aso-skills2,1732026年10月7日 更新

retention

無料

Diagnoses and reduces churn — cancellation flows, save offers, failed-payment recovery, at-risk detection, and the product and service causes underneath. Use this when churn is rising or unexplained, to design a cancellation or win-back flow, to recover involuntary churn, to identify at-risk accounts before they leave, or to decide whether a retention problem is a product problem.

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。

cbrock84/headcount2,0422026年9月18日 更新

Protects and restores data — backup coverage and scope, retention, immutability against ransomware, and proving restores actually work. Use this to design a backup regime, verify restores, plan retention, protect backups from ransomware, or recover from data loss.

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。

cbrock84/headcount2,0422026年9月18日 更新

Plans for operating through disruption — impact analysis, recovery objectives, continuity plans, and the exercises that prove they work. Use this to run a business impact analysis, set RTO and RPO, write or test a continuity plan, prepare for a supplier or site failure, or answer a customer's resilience questionnaire.

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。

cbrock84/headcount2,0422026年9月18日 更新

Use when evaluating David Tepper-style distressed macro opportunities: crisis assets, policy backstops, capital structure, bank/credit stress, and asymmetric recovery trades.

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。

questflowai/investorskills1,9062026年8月23日 更新

Map application errors to MCP error codes with proper messages, error types, and recovery suggestions.

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。

a5c-ai/babysitter1,8412026年9月17日 更新

Design agents for multi-turn tool use — sequential tool calls, result accumulation, error recovery, and complex task decomposition over multiple turns.

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。

a5c-ai/babysitter1,8412026年9月17日 更新

Continuous monitoring using Deacon/Witness patterns for agent health checks, stuck detection, and automated recovery.

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。

a5c-ai/babysitter1,8412026年9月17日 更新

Use when a task needs an app on the user's own screen — a native desktop application (instrument control software, Origin, GraphPad, ImageJ, a reference manager, a spreadsheet), or a desktop browser window that needs window-level control. Read before the first `computer` call. Covers the observe-act-observe loop, why element indexes go stale, which action to prefer for which control, what "unverified" means and why it must never be reported as success, and the recovery for each error code. Not for page-level web automation (use the browser connector) and not for anything that can be done from the shell.

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。

ai4s-research/open-science1,7902026年10月12日 更新

Create structured incident response runbooks with step-by-step procedures, escalation paths, and recovery actions. Use when building runbooks, responding to incidents, or establishing incident response procedures.

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。

rmyndharis/antigravity-skills1,7502026年10月1日 更新

Expert hybrid cloud architect specializing in complex multi-cloud solutions across AWS/Azure/GCP and private clouds (OpenStack/VMware). Masters hybrid connectivity, workload placement optimization, edge computing, and cross-cloud automation. Handles compliance, cost optimization, disaster recovery, and migration strategies. Use PROACTIVELY for hybrid architecture, multi-cloud strategy, or complex infrastructure 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。

rmyndharis/antigravity-skills1,7502026年10月1日 更新