「elf」の検索結果

Router for the 70 SfSkills `devops` skill packages. Salesforce delivery: source tracking, packaging, branching, CI/CD pipelines, environment strategy and deployment troubleshooting. Use when the request mentions deploy, deployment, sfdx, sf CLI, scratch org, sandbox, unlocked package, change set, CI/CD, GitHub Actions, release, rollback, source tracking. Finds and opens the exact skill package to read; it does not contain the guidance itself.

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Use this skill to define, document, and validate KPI metrics for CRM Analytics — covering metric formula design, dimension selection, target-dataset modeling, benchmark setting, and the KPI register that must exist before any dashboard or lens is built. Trigger keywords: KPI definition CRM Analytics, analytics metric design, analytics target attainment, CRM Analytics measures vs dimensions, analytics benchmark. NOT for laying out the dashboard or lens itself — use admin/analytics-dashboard-design. NOT for scoping data sources, audiences, and drill-down paths — use admin/analytics-requirements-gathering.

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Router for the 101 SfSkills `data` skill packages. Data model, data movement and data quality: migrations, bulk loads, query optimisation, deduplicating at volume, archival. Ordinary-volume duplicate cleanup and prevention use salesforce-admin; come here for hundreds-of-thousands+ dedup or third-party tools. LDV architecture uses salesforce-architect. Use when the request mentions data model, data migration, data load, Data Loader, Bulk API, external id, deduplication at volume, archival, SOSL, cross-object search, sandbox seed data, SandboxPostCopy, native Data Seeding. Finds and opens the exact skill package to read; it does not contain the guidance itself.

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Router for the 83 SfSkills `lwc` skill packages. Lightning Web Components: reactivity, wire adapters, component communication, accessibility, performance, security and Jest testing. Use when the request mentions LWC, Lightning Web Component, wire, @api, @track, lightning-record-form, shadow DOM, Jest, Lightning Message Service, Aura migration, Lightning page. Finds and opens the exact skill package to read; it does not contain the guidance itself.

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Router for the 34 SfSkills `omnistudio` skill packages. OmniStudio: OmniScripts, FlexCards, DataRaptors, Integration Procedures, Business Rules Engine and DataPack deployment. Use when the request mentions OmniStudio, OmniScript, FlexCard, DataRaptor, Integration Procedure, Business Rules Engine, calculation procedure, DataPack, Vlocity. Finds and opens the exact skill package to read; it does not contain the guidance itself.

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Entry point for the SfSkills Salesforce library: 1,040 skill packages across 11 domains (admin, agentforce, apex, architect, data, devops, flow, integration, lwc, omnistudio, security), 70 run-time agents and 92 slash commands. Use for any Salesforce, Force.com or Lightning Platform question — Apex, SOQL, SOSL, triggers, Flow, LWC, sObject, custom field, permission set, profile, sharing rule, validation rule, deployment, sandbox, Agentforce, OmniStudio, org setup. This skill does not answer Salesforce questions itself; it routes to the specific skill package that does, then hands off to a domain router.

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Design, implement, or audit a Change Advisory Board (CAB) process for Salesforce deployments: change classification (standard, normal, emergency), required approvals, deployment gate sequencing, and integration with external ITSM tooling. NOT for scoring how risky one release is - use admin/deployment-risk-assessment. NOT for executing or troubleshooting the deployment itself - use admin/change-management-and-deployment. Also covers: the CAB charter (membership, quorum, decision rights), the CAB decision record artefact and its linter, the change classification matrix, the deployOptions a CAB decision pins (checkOnly, testLevel, rollbackOnError, ignoreWarnings, runTests), the 10-day quick-deploy validity window, the deploy-window vs freeze-register check, and the emergency (ECAB) path with its mandatory retrospective.

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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).

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Use when monitoring, diagnosing, or managing Batch Apex, Scheduled Apex, Queueable, and Flow scheduled jobs: Setup > Apex Jobs, AsyncApexJob queries, concurrent limits, failure detection, and notification patterns. NOT for writing the Batch or Schedulable class itself — use apex/batch-apex-patterns or apex/apex-scheduled-jobs. NOT for BatchApexErrorEvent alerting in code — use apex/scheduled-apex-failure-detection-and-monitoring. Trigger keywords: Setup > Scheduled Jobs, Apex Flex Queue, CronTrigger, CronJobDetail, FlowInterview, System.abortJob, System.schedule, CRON expression, Holding status, BLOCKED state, reschedule after sandbox refresh, scheduled job runbook.

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Detects missing, broken, or placeholder privacy policy links in-app, enforcing Guideline 5.1.1(i) which requires a functional, accessible privacy policy within the app itself.

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Run a task iteratively over a user-specified duration by dispatching subagents. The orchestrator stays strictly linear and time-checked, but each iteration fans out MULTIPLE subagents in parallel over independent units (and those subagents may fan out further). Shared state — a compact progress digest and a growing environment cheatsheet — lives on disk and is passed to every subagent BY REFERENCE, killing the per-subagent rediscovery tax. Every subagent first reads an initialiser preamble that points it at that shared state and makes it write findings back, so the cheatsheet populates itself; role prompts are produced ONCE on the filesystem by a single scaffold command and dispatched by path, never re-typed per dispatch. Subagents persist their results to disk and return only a tiny status, so the orchestrator's context stays small and lasts. The orchestrator classifies the goal as FINITE or OPEN-ENDED: finite lists may finish early; open-ended goals use the full duration, never idle, never manufacture busywork. Use when the user gives a task and a duration and wants it ground out iteratively by subagents over that time.

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Run work as an explicit event-driven state machine executed by subagents. The orchestrator is the runtime from the canonical loop — `state, effects = init(machine); execute(effects); while state is active: event = nextEvent(); state, effects = transition(machine, state, event); execute(effects); return state.output`. All routing judgment is authored ONCE, at plan time, into a machine file (states, event alphabet, transition table, budgets, final states); at runtime the orchestrator does pure table lookups and dispatches effects — it never decides, never authors, never ingests artifacts. Subagent/sync protocol is the timeboxed-iterating one: role prompts scaffolded once to disk and dispatched BY PATH, an initialiser preamble every subagent reads first, a self-populating cheatsheet, per-unit files, tiny structured returns, independent measurement gate. Use when the user says "workmachine", "run this as a state machine", "state-machine this", or when a goal has a small number of clearly named phases with explicit outcomes (built / passed / failed / blocked) and you want the routing to be auditable rather than judged on the fly. For clock-driven loops use timeboxed-iterating; for wide graphs with judged edge criteria use workgraph.

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Firmware development for the 30-pin NodeMCU ESP8266 devkit — NodeMCU DevKit V1.0 / Amica (CP2102) and LoLin NodeMCU V3 (CH340G), built on the Ai-Thinker ESP-12E or ESP-12F module (ESP8266EX, 4 MB flash), with PlatformIO and the Arduino ESP8266 core (`board = nodemcuv2`). Use when working on a NodeMCU, ESP-12E, ESP-12F or ESP8266 devkit: project setup, platformio.ini, the D0-D10 vs GPIO numbering, which pins are safe and which break the boot, GPIO15/GPIO0/GPIO2 strapping, the A0 divider and 1 V ADC, software I2C and software PWM, analogWrite range, LittleFS and flash layouts, OTA, deep sleep and the missing GPIO16-to-RST link, Wi-Fi, heap exhaustion, watchdog and Soft WDT resets, exception decoding, flashing over CP2102/CH340, or debugging why the board does not boot, prints garbage, or reboots by itself.

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Разработка прошивок для BE-U1000 (Baikal Electronics / Байкал Электроникс, три ядра RISC-V: BR-350 и BM-310) на отладочных платах EVU-BA-2.1, EVU-BA-2.0 и EVU-BA-1.2 — её eFlash и QSPI flash, UART0/BootROM CLI, PWMA (захват и импульсы), АЦП с DMA, CAN FD, SPI, WDT, CLIC, а также SDK Байкала и его система сборки на make. Use when working on this board or any BE-U1000 / BMCU_U project (SDK 2.1/2.3, riscv32-none-elf, dfu-util, OpenOCD): настройка проекта, Makefile и MEM_REG_ROM, карта выводов и разъёмы XP1/XP8/XP9/XP10, режимы начальной загрузки и страповые выводы, прошивка по UART XMODEM либо USB DFU, работа с eFlash и TCM, прерывания и CLIC, отладка по JTAG — и разбор, почему плата молчит, не стартует, зависает или почему периферия «настроилась», а обмена нет.

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Use the Skmtc CLI to scaffold projects, install or clone generators from JSR, configure schema sources and enrichments, and produce code artifacts from an OpenAPI v3 or GraphQL SDL schema. Teaches the workspace mental model (`<root>/.skmtc/<project>/`, client.json, bundle, manifest) and the agent contract (strict text / strict JSON modes, exit codes, recipe errors, `agent-context` + `doctor`); the command surface itself is discovered from the binary — `skmtc --help`, `skmtc <cmd> -h` — rather than carried in this skill. Use this skill when the user asks to "run skmtc", "generate code from an OpenAPI schema", "install a skmtc generator", "scaffold a skmtc project", "watch a skmtc project", "configure enrichments", "publish a stack", "deploy to skmtc-hub" (the command is `publish`; there is no `deploy`), "skmtc in CI", or invokes any CLI subcommand. For *authoring* a generator package (Projections, Snippets, transform functions), defer to `skmtc-generator`. When something is broken (no output, wrong output, error messages, a failed bundle build), verify before proposing a fix: read the manifest and the parse issues, and reproduce the failure first.

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This skill provides guidance for implementing Go Embedded SPA architecture - embedding React/Vue/TSX frontend static resources into Go binary using go:embed directive. Use this skill when building self-contained single-binary applications, implementing SPA with Go backend, setting up cross-platform deployable full-stack projects, or configuring static file serving with Go standard library net/http.

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Run moflo's Healer (`flo healer`, alias for `flo doctor`) from inside the Claude session. Audit-only by default; pass `--fix` to apply auto-repairs, `-c <component>` for a single check. Use when something feels off (missing moflo.yaml, daemon dead, statusline empty, hooks not firing) or as a periodic health check. Distinct from Claude Code's built-in `/doctor`, which diagnoses Claude Code itself, not moflo.

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Review changed code for reuse, quality, and efficiency, then fix any issues found. Sizes review effort to the diff — trivial edits get a self-review, substantial edits get parallel agents. Renamed from /simplify to avoid collision with Claude Code's built-in simplify skill.

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This skill should be used when the user asks to "build a feature", "fix a bug", "implement something", "start a dev cycle", types "/dev", or describes a software task that requires design, implementation, testing, and shipping. Orchestrates the full software development lifecycle from interrogation through shipping, with self-learning that improves over time.

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Mechanical consistency check for game design — answers "is the design consistent with itself?" — plus changed-scope impact analysis across all three GDD axes: systems, flows, and content types. Offline and deterministic: greps the facts registry against the documents (numbers, terms, IDs, duplicate & dangling references, roster↔disk, map freshness, Depends 3-way, status/version, AC presence, placeholder leaks, flow & content schema), and from a git diff computes which dependent systems, flows, and content a change affects. Scope is inferred: a named document checks that document; an unverified diff triggers a changed-scope pass; otherwise everything. Use when the user wants a consistency or impact check, e.g. "verify the design", "what did this change affect", "find broken references in the design". Conflicts triage into four tracks; the entailed fixes hand off to /unikit-gd-apply in one pass. This is the mechanical pass — for a subjective "is this design good" quality critique use /unikit-gd-review.

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Fix a specific bug or problem in a {{engine_name}} project. Supports two modes — immediate fix or plan-first. Without arguments executes existing .unikit/code/FIX_PLAN.md. Checks {{engine_name}} compilation, suggests test coverage, and creates self-improvement patches. Use when user says "fix bug", "debug this", "something is broken", "fix the tests", "fix the errors in the tests", "read the errors in the {{engine_name}} console logs and fix the problems", or pastes an error message or {{engine_name}} console log. Also trigger when user shares a NullReferenceException, MissingReferenceException, compilation error, or any {{engine_name}}-specific error.

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Dispatch an explicit, user-dictated set of edits that spans TWO OR MORE zones of the GDD — the master spec, systems, content types, and flows — in one ordered pass. Writes nothing itself: it resolves each delta to its (target, zone), orders them so a system change lands before the content or flow that depends on it, delegates each to the owning skill (/unikit-gd-spec, /unikit-gd-system, /unikit-gd-content, /unikit-gd-flow), and closes with one /unikit-gd-verify pass. Use when you already know the changes and they touch more than one part of the design, e.g. "apply these GDD changes", "update the combat system and its loot and the boss flow". It also takes a /unikit-gd-review report file (applies its apply-ready bucket), and a bare /unikit-gd-apply reads the last /unikit-gd-verify output in the session. For a single-zone change call its owner directly; to research an open question use /unikit-gd-explore first.

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Generate and maintain the project's TECHNICAL documentation from its codebase — scans the project structure, tech stack, and module boundaries, then writes a lean README landing page plus detailed topic pages (architecture, modules, setup, build, APIs), only the docs that are relevant. Use whenever the user wants to create, update, or validate documentation of the CODE or the project itself, e.g. "generate documentation", "create docs", "write the README", "update the project docs", "document the codebase", "document this project's architecture", "validate the project documentation". This is CODE / project documentation only — it never documents the game design. To render the GAME DESIGN (the GDD: systems, flows, content, economy) for people to read use /unikit-gd-docs.

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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。