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Explain what slushpile is, what each skill does, what order to run them in, where the workspace files live, and how to set up a voice agent. Use when the user asks how slushpile works, what to run next, or how to fix a workspace problem.

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Classify a proposed code change as Leaf Node or Core Code to decide how much AI usage and review rigor is appropriate. Use this skill whenever the user asks "is this leaf or core", "what kind of change is this", "should I vibe code this", "can AI write this", "how rigorous should the review be", or before starting any non-trivial change. Also useful as a sub-step inside other workflows (planning, PR prep, code review) when classification matters. Asks 6 diagnostic questions about propagation range, change frequency, tech-debt tolerance, examples, failure cost, and review intensity, then outputs a clear classification with the recommended approach. Trigger even when the user describes a change without explicitly asking for classification — the answer changes how they should proceed.

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。

Audit, classify, validate, and scaffold documentation using the Diataxis framework (Tutorials, How-to guides, Reference, Explanation). Use when user mentions "diataxis", "documentation framework", "quadrant", "doc audit", "doc coverage", "collapsed document", "tutorial vs how-to", "quadrant purity", "documentation types", or wants to classify docs by type.

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 a research study. Use when the user says "study design", "design my research", "what research method should I use", "how do I test this hypothesis", "research plan", "methodology section", "experimental design", "survey design", "qualitative study design", "how to structure my study", "sample size", "data collection plan", or needs to plan how to test a research question or hypothesis - even if they don't explicitly say "study design".

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。

Plan a webinar end-to-end using April Dunford's Obviously Awesome positioning framework to find the topic angle that makes the webinar obviously valuable to the right audience. Produces topic positioning, abstract, speaker brief, registration page, promotion sequence, day-of run-of-show, and post-webinar follow-up. Use when the user asks to plan a webinar, virtual event, online workshop, "we need a webinar on X", host a webinar, online masterclass, or any live virtual event with promotion and follow-up. Reads ICP, services, and brand voice from knowledge/. For the promotion emails, see email-nurture. For the deck, see ppt-maker. For the social promotion plan, see social-calendar.

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。

Conduct a competitive analysis. Use when the user says "competitive analysis", "how do competitors handle X", "market landscape", "blue ocean", "strategy canvas", "what does [competitor] do", "compare us to X", "positioning analysis", "value curve", or wants to understand how a product or feature compares to alternatives - even if they don't explicitly say "competitive analysis".

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 and write QA test artifacts - test cases, test plans, acceptance criteria, API test specs, and PR testability reviews. Use this skill whenever a QA engineer or SDET needs to translate requirements, user stories, or feature specs into structured test documentation. Trigger on phrases like "write test cases", "create a test plan", "define acceptance criteria", "review this PR for testability", "write API test specs", "test coverage for this feature", "what should we test", "how do we test this", or any request to structure what and how to test before execution begins. Also trigger when a developer asks "is this testable?" or a PM asks "what are the edge cases?".

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。

Write an operational runbook. Use when the user says "write a runbook", "on-call documentation", "how to operate this service", "alert runbook", "troubleshooting guide for ops", "what to do when this alert fires", "operational procedures", or needs to document how to run, troubleshoot, or respond to a service - even if they don't explicitly say "runbook".

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 the user says "write my pitch", "help me tell my startup story", "craft my investor narrative", "why now slide", "what's our secret", "how do I explain what we do", "make my pitch compelling", "pitch deck story", "elevator pitch", "why will we win", "contrarian insight", or wants to build a persuasive, coherent narrative around their startup for investors, press, or recruiting.

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。

Write an ETL operational runbook. Use when the user says "ETL runbook", "pipeline runbook", "data job runbook", "how to operate this ETL", "on-call guide for data pipelines", "what to do when the data job fails", "pipeline troubleshooting guide", "data ops runbook", or needs to document how to operate, monitor, and recover a data pipeline or ETL job - even if they don't explicitly say "runbook".

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。

Smallest personal narrated-explainer-video pipeline (spoken narration over visuals, not an audio podcast), fully tool-agnostic and autonomous by default — topic → research ∥ asset collection → script → TTS → video → 4K render ∥ publish info + cover. The skill defines the pipeline logic and self-verified checkpoints; any TTS backend and any video tool (Remotion, HyperFrames, CapCut, ...) work, and how much human oversight to apply is set by the working project's AGENTS.md/CLAUDE.md, not here. Use when the user wants a quick personal narrated video with minimal steps, whether or not they name the tool stack. Do NOT trigger for audio-only podcasts, written episodic content, or heavy multi-format production.

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。

Run the Yuzu Erlang gateway eunit test suite correctly. Sources the Erlang toolchain, uses --dir to work around rebar3 auto-discovery bug (#337), and explains how to interpret the output. Use when the user asks to run gateway unit tests, verify a gateway change, check for regressions in eunit, or chase an eunit flake.

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 designing the UX and content strategy for a Salesforce-powered self-service portal or help center — pre-deflection article surfacing, Help Center search UX, friction-calibrated case submission forms, community peer support layers, and deflection measurement. Trigger keywords: design self-service portal, case deflection strategy, help center UX design, reduce support volume with self-service, knowledge base search experience. NOT for picking which contact reasons to deflect and through which channel — use architect/case-deflection-strategy. NOT for building the Experience Cloud site itself — use admin/experience-cloud-site-setup. More trigger keywords: article visibility matrix IsVisibleInCsp IsVisibleInPkb, which articles show in the customer portal, case visibility for portal users, CaseComment IsPublished customer visible comment, self-registration profile and account for a portal, Help Center template does not support login, deflection metrics SOQL KnowledgeArticleViewStat, self-service journey map, moderation policy for a support community.

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 monitoring Agentforce agent sessions, analyzing conversation logs, measuring deflection rates, or diagnosing agent performance issues. Triggers: 'agentforce session analytics', 'how to query agent conversation data', 'monitor agentforce agent effectiveness', 'agent deflection rate', 'utterance analysis agentforce'. NOT for Trust Layer audit logging — use agentforce/einstein-trust-layer. NOT for designing the topic boundaries and guardrails that cause the misrouting you are seeing in the data — use agentforce/agentforce-guardrails.

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Use when learning, designing, or explaining Salesforce Reports and Dashboards from first principles — report types, custom report types, groupings, bucket fields, summary formulas, charts, dashboard components, dynamic dashboards, report subscriptions, and folder permissions. Triggers: 'how do I build a report', 'what report type should I use', 'set up a dashboard', 'joined report limits', 'bucket field vs formula', 'dynamic dashboard running user'. NOT for CRM Analytics (use crm-analytics-* skills). NOT for Einstein Discovery predictive analytics. NOT for troubleshooting missing report data caused by sharing model issues (use admin/reports-and-dashboards for that).

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 designing or reviewing Salesforce sandbox topology, refresh cadence, masking, and environment purpose. Triggers: 'Developer sandbox', 'Developer Pro', 'Partial Copy', 'Full sandbox', 'sandbox refresh', 'data masking', 'test environment', 'Gov Cloud sandbox'. NOT for how many environments a program needs and how they map to branches - use devops/environment-strategy. NOT for re-seeding reference data after a refresh - use data/sandbox-refresh-data-strategies. Also covers: SandboxPostCopy Apex class, SandboxInfo and SandboxProcess Tooling API, SandboxSettings metadata, sandbox topology table, refresh calendar.

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Use when designing or reviewing list views, compact layouts, highlights panels, and search-result presentation so users can scan, find, and act on records quickly across desktop and mobile. Covers the deployable ListView, CompactLayout, SearchLayouts and ProfileSearchLayouts metadata: filterScope, booleanFilter, sharedTo, compactLayoutAssignment, and the package.xml shapes for each. Triggers: 'too many list views', 'compact layout not showing the right fields', 'search layouts vs list views', 'mobile highlights panel', 'list view missing after sandbox refresh', 'deploy a list view between orgs', 'list view column deployed blank', 'compact layout deploy failed', 'compact layout was named in package.xml but was not found in zipped directory'. NOT for page layouts or record types — use admin/record-types-and-page-layouts. NOT for Dynamic Forms — use admin/dynamic-forms-and-actions.

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 setting up or auditing how compliance documentation is structured, collected, and preserved for regulatory audit in Salesforce FSC — covering KYC data collection workflows, AML screening integration setup, audit trail configuration, and regulatory reporting readiness. Triggers: KYC form setup, AML integration configuration, compliance data collection, audit trail setup, regulatory documentation workflow, Field Audit Trail configuration, Setup Audit Trail, Event Monitoring, Discovery Framework, FSC KYC objects, Identity Document setup, Party Identity Verification. NOT for security implementation, NOT for designing AML/KYC architecture (use architect/aml-kyc-process-architecture), NOT for configuring who can access deal or client data (use admin/compliant-data-sharing-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。

Write, restructure, or review documentation — tutorials, how-to guides, reference pages, concept/explanation docs, API references, READMEs, changelogs, release notes, and troubleshooting guides. Distills documentation craft from Mintlify's guides (compiled from technical writers at Stripe, GitHub, Amplitude, and Anaconda), the Diátaxis framework (including the compass and per-type voice), the Google and Microsoft style guides, Every Page Is Page One, Write the Docs, and Docs for Developers: audience analysis, content-type selection, style and word-level rules, procedure writing, structure for humans and AI agents, code-example standards, page templates (templates.md), mechanical enforcement and llms.txt (mechanics.md), maintenance, and success metrics. Use this skill when the user asks to "write docs", "document this feature", "improve this page", "review these docs", "write a tutorial / how-to / reference page", "structure the docs", "write API documentation", "write a README / changelog", or when authoring any file under a `docs/` tree. For SKMTC docs specifically, this skill governs the *craft* (what makes the page good); the content split between skills, `llms.md`, and the docs tree is governed by `docs/skills/README.md`. Distinct from `skmtc-retro` (captures observations about work) and the `skmtc-*` operational skills (guide doing the work) — this skill guides writing *about* the work for readers.

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。

Curate .unikit/MCP-RECHECK-NOTES.md — the project's log of findings about the configured engine MCP server. Four jobs: re-stamp (the server moved, so every entry is suspect), replay (reproduce a `replay: safe` finding inside a disposable sandbox to see whether it still holds), retire (offer to drop what was fixed or went upstream), and upstream (print a ready diff for the packaged INDEX.md). Use for "audit the MCP notes", "are these findings still true", "recheck the MCP traps", "clean up MCP-RECHECK-NOTES", "the server was updated — revisit the notes". Replaying mutates a live editor, so it starts by telling you how to prepare it — save your scene, open an empty one — and asks once before touching anything. Everything it creates lives under a single UNIKIT_AUDIT_<runid> prefix, is deleted in one action, and the scene is never saved. To record a NEW finding use /unikit-mcp-trap 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。

Decides HOW to mutate a DAG when a node fails, quality is below threshold, or new information changes the plan. Selects from mutation strategies (add node, replace agent, fork paths, loop back, downgrade model) based on failure type, cost budget, and execution history. Activate on "DAG failed how to fix", "mutation strategy", "replan on failure", "adaptive DAG", "recovery strategy", "what to do when node fails". NOT for detecting failures (use dag-quality), executing mutations (use dag-planner), or runtime execution (use dag-runtime).

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Design decisions for when and what sounds to use in web apps, mobile apps, and desktop native apps — plus how to create them with AI. Covers UI sound vocabulary (confirms, alerts, transitions, errors), platform conventions (iOS, macOS, Material), creating sounds with AI tools (ElevenLabs, AudioCraft, Stable Audio), Web Audio API for procedural sounds, haptic-audio pairing, and the psychology of satisfying vs. annoying UI sounds. Activate on 'app sounds', 'UI sounds', 'notification sound', 'sound design app', 'earcons', 'sonic branding', 'interaction sounds', 'feedback sounds', 'app audio', 'satisfying sounds'. NOT for professional audio engineering (use sound-engineer), Windows 3.1 retro sounds specifically (use win31-audio-design), music composition (use sound-engineer).

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。

Find UX pains and opportunities fast through competitor scans, pattern research, and web search. Surfaces how others solve the same flow, common failure modes, and conventions users already expect. Use when the user says "research this UX", "how do others do X", "competitor scan", "find UX patterns", "what's the convention for Y", or before ideating a flow. Part of the Product Design set. Uses web search/fetch tools.

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 realistic product-in-use lifestyle scenes. Places the product in believable contexts of use (who, where, when, doing what) with natural lighting and real texture, for lifestyle/editorial/ecommerce. Use when the user says "lifestyle shot", "product in use", "scene", "show it being used", "in-context photography", or needs people/environment around the product. Part of the Creative Production set.

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。