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概要と使いどころ
Manage Cloudinary media: upload images and videos, list and inspect assets, update metadata, delete assets, and check plan usage. Trigger phrases: cloudinary, upload image, cloudinary usage.
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。
Orchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability, observability, backup/DR, and cost optimization. Use when asked to productionize, prepare, assess, audit, or review a GKE cluster or workload before going live to production. Don't use for deep-dive single-domain implementation (use specific domain skills like gke-workload-scaling, gke-platform-security, gke-workload-security, gke-service-networking, gke-reliability 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。
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto Provisioning configuration or general GKE cluster creation.
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。
Decision guide for delegating to caveman-style subagents. Tells the main thread WHEN to spawn `cavecrew-investigator` (locate code), `cavecrew-builder` (1-2 file edit), or `cavecrew-reviewer` (diff review) instead of doing the work inline or using vanilla `Explore`. Subagent output is caveman-compressed so the tool-result injected back into main context is ~60% smaller — main context lasts longer across long sessions. Trigger: "delegate to subagent", "use cavecrew", "spawn investigator/builder/reviewer", "save context", "compressed agent 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。
Generate ready-to-paste AI image-gen prompts for 2D game art (character/sprite, icon/UI/item, background/tileset) that stay consistent with the project's art style across separate chat sessions in Claude/Gemini/ChatGPT chat UIs. Use when the user wants to render, generate, or create game art/sprites/icons/backgrounds with AI, or mentions an "art style bible" for a game project. Maintains a persistent `art-style-bible.md` so style doesn't drift between requests, and gives a post-generation checklist plus post-processing guidance for common technical misses (transparency, size, aspect ratio).
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。
Apex test patterns for @InvocableMethod agent actions: per-reason-code branch coverage, bulk safety, callout mocking, deterministic assertions. NOT for testing whether the agent routes to the right topic or answers well — use agentforce/agent-testing-and-evaluation. NOT for designing the error envelope the tests assert on — use agentforce/agent-action-error-handling.
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 this skill when defining patient engagement portal requirements for Health Cloud: appointment scheduling, secure in-portal messaging, health assessments, patient education, and self-service features. NOT for care team workflows, SDOH barriers and care gaps — use admin/care-coordination-requirements. NOT for patient portal licensing and cloud topology — use architect/health-cloud-multi-cloud-strategy.
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 planning, sequencing, or troubleshooting an org-wide migration from Salesforce Classic to Lightning Experience. Covers the LEX Transition Assistant Readiness Check, asset triage matrix (Visualforce, JavaScript buttons, page layouts, Knowledge, email templates, list views, AppExchange), pilot/wave rollout sequencing, end-user adoption telemetry, and cutover criteria. Triggers: 'lightning experience transition', 'classic to lightning migration plan', 'LEX readiness check', 'why are some users still on Classic', 'turning on Lightning for everyone'. NOT for individual asset migrations like a single VF page (use lwc/visualforce-to-lwc-migration), a single JavaScript button (use admin/custom-button-to-action-migration), or Knowledge article migration (use admin/knowledge-classic-to-lightning) — this skill orchestrates the program. NOT for Lightning App Builder page design (use admin/lightning-app-builder-advanced).
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 executing admin-level cleanup in a Salesforce org: deleting unused fields, removing inactive Flow versions, deactivating legacy automation, running Salesforce Optimizer or Org Check, and performing destructive metadata deploys. Triggers: 'clean up unused fields', 'delete inactive flows', 'run Optimizer', 'org has too many custom fields', 'remove old workflow rules', 'Flow version limit'. NOT for assessing or reporting on technical debt (use architect/technical-debt-assessment). NOT for code-level refactoring or Apex cleanup (use apex/ skills).
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 this skill when configuring or troubleshooting FSC Referral Management: setting up referral types via ReferralRecordTypeMapping custom metadata, routing referrals through Lead Assignment Rules keyed on the Expressed Interest picklist, tracking Referrer Score, and partner referral visibility in Experience Cloud. Trigger keywords: referral routing, FSC referral types, ReferralRecordTypeMapping, Expressed Interest picklist, partner referral Contact, Referrer Score Experience Cloud. NOT for clinical referrals in Health Cloud — use admin/referral-management-health. NOT for standard Lead capture and conversion outside FSC — use admin/lead-management-and-conversion.
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。
Configuring or troubleshooting Salesforce CPQ Advanced Approvals: SBAA__ApprovalRule__c, SBAA__ApprovalVariable__c for cross-line aggregation, SBAA__ApprovalChain__c for ordered approver sequences, escalation timeouts, Smart Approvals for re-quote skip logic, and the managed package's permission sets. Trigger keywords: CPQ Advanced Approvals, SBAA approval rule, approval variable, approval chain, discount approval, line-level approval, Smart Approvals, requote approval. NOT for standard non-CPQ Salesforce approval processes - use admin/approval-processes. NOT for CPQ price rules and discount schedules - use admin/cpq-pricing-rules.
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 practitioner needs to classify the risk level of an upcoming Salesforce deployment, define rollback trigger conditions, or assign decision authority before the release window opens. Triggers: 'how risky is this release', 'what needs rollback planning', 'classify deployment risk', 'pre-deployment risk checklist', 'rollback decision authority', 'high risk metadata types'. NOT for executing the deployment itself, writing CI/CD pipeline code, or troubleshooting failures after a deployment has already run — use admin/change-management-and-deployment for execution planning and devops/deployment-error-troubleshooting for post-failure diagnosis.
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 choosing between Custom Metadata Types and Custom Settings, understanding hierarchical vs list settings, deployment behavior, governor limit implications, or accessing either from Apex and Flow. Trigger keywords: 'custom metadata vs custom settings', 'hierarchical settings per user profile', 'deployable config vs runtime settings', 'getValues getInstance in apex', 'flow get records custom settings'. NOT for modelling the CMT itself or protecting packaged defaults — use admin/custom-metadata-types. NOT for records users edit as business data — use admin/object-creation-and-design. NOT for secrets — use integration/named-credentials-setup. More trigger keywords: customSettingsType, customSettingsVisibility, SetupOwnerId, getOrgDefaults, getAll, DUPLICATE_VALUE in test, SeeAllData custom settings, enableAdvancedCSSecurity, customSettingAccesses, org default profile user override.
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, score, and prioritize Salesforce AI use cases before any implementation begins — opportunity identification, Impact-Effort matrix scoring, feasibility evaluation across Technical/Operational/Data/Risk dimensions, and ROI framing. NOT for the license checks and enablement steps once a use case is approved — use agentforce/agentforce-service-ai-setup or agentforce/agentforce-sales-ai-setup. NOT for making the data model AI-ready — use architect/ai-ready-data-architecture.
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 planning, reviewing, or troubleshooting Salesforce metadata releases and admin deployment processes. Triggers: 'change set', 'deployment plan', 'rollback', 'DevOps Center', 'SFDX deploy', 'release checklist', 'production deployment', 'validation only deploy', 'quick deploy', 'test level', 'rollbackOnError', 'destructive changes', 'package.xml for an admin release', 'deployment status'. NOT for change set upload mechanics — use devops/change-set-deployment. NOT for scoring release risk up front — use admin/deployment-risk-assessment.
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。
Design, review, or troubleshoot Salesforce Approval Processes. Triggers: 'submit for approval', 'approver', 'record locked', 'recall approval', 'approval step', 'discount approval', 'approvalProcess metadata', 'ProcessInstanceWorkitem', 'recordEditability', 'process order', 'no approver found', 'pending approval'. NOT for submitting or acting on approvals from Apex - use admin/approval-process-apex-patterns. NOT for CPQ Advanced Approvals (SBAA rules and chains) - use admin/cpq-approval-workflows. NOT for multi-stage cross-object orchestration with SLAs - use flow/orchestration-flows.
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。
Programmatically driving Salesforce Approval Processes from Apex — `Approval.process(ProcessSubmitRequest)` to submit, `ProcessWorkitemRequest` to approve / reject / reassign, recall semantics, querying `ProcessInstance` and `ProcessInstanceWorkitem` to find pending approvals, and the bulk-submit / bulk-action error-row handling. Covers when to use Apex-driven approval (system-initiated submission, batch approvals, custom UIs) vs leaving the platform's standard buttons in place. NOT for the Approval Process metadata definition itself (that's admin / declarative — see admin/approval-processes), NOT for Flow-based approvals (use flow/flow-orchestration-patterns).
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。
Kill zombie dev servers and test processes. Use when ports are blocked, processes are hanging, or test runners won't start.
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。
Research and ideation partner for GAME DESIGN — think through design ideas before writing them into the GDD; produces a brief, never edits the GDD itself. Use to assess a genre or market for viability, dissect a reference game (mechanics → dynamics → aesthetics), explore how to improve or extend an existing system, flow, or content type, research new mechanics the design lacks, investigate a part of the GDD in code, or develop the research bucket of a /unikit-gd-review report into decided edits. Trigger on "explore how to improve the flow", "ways to improve the combat system", "is this genre saturated", "break down the combat of Hades", "work out the review's open questions". GAME-DESIGN research only — for CODE or technical research use /unikit-explore; to reconstruct a design from code use /unikit-gd-recon; to write a change into the GDD use /unikit-gd-system or /unikit-gd-spec; to apply edits you know use /unikit-gd-apply; to invent a new game use /unikit-gd-brainstorm.
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。
Proactive bug-hunting workflow. Assesses codebase risk through complexity, coverage, and structural analysis, then spawns focused investigators that write reproducing tests to validate suspected bugs. Thoroughness over speed. Advisory only — produces findings and proposes tickets; does not implement fixes.
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。
Prospective failure imagination for a plan, decision, or running system. Operates in two modes — **plan mode** (a plan has not yet been committed to; imagine its catastrophic failure broadly) and **scenario mode** (a specific catastrophic scenario is posed against an existing system; investigate causes against the actual code and architecture). Spawns parallel pre-mortemers in isolation across three categories of lens: standard failure classes (technical, operational, estimation, scope, adoption, dependency, team, incentive, detection, reversibility, adversarial), 0-3 ad-hoc target-specific lenses the orchestrator names when warranted, and a first-principles lens that always runs to catch what the prescribed taxonomy misses. Synthesizes into a prioritized risk register with early-warning signals. Produces feedback only — no code, no tickets, no artifacts.
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。
Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses.
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 this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.
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。
One page, hands-on manual tier — drive a live page through the web accessibility (a11y) checks a rule engine can't decide: keyboard operation and focus order, screen-reader names, roles and states from the accessibility tree, reflow and zoom, reduced motion, form errors, and target size. Grades each finding by evidence basis (verified / confirm-with-a-human / human-required) and severity, and closes every criterion in a ledger: verified, flagged, not exercised, or N/A. Locates and assesses; does not fix (use `accessibility-fix`). Use it for keyboard testing, focus-order checks, screen-reader or a11y-tree review, reflow and zoom at 200%, or 'is this operable, not just lint-clean'. The automated tier is `accessibility-scan`; `accessibility-audit` runs both across a sampled site.
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。