Results for “defi”

Use to analyse why support contacts escalate, how long escalations take, and which escalation paths are broken or missing. Trigger for "why are escalations increasing", "how long do escalations take", "which issues get escalated most", tier 2 volume, back-office handoffs, escalations with no defined path, or designing an escalation process.

Cria ou atualiza os princípios duradouros do projeto e propaga sugestões de ajuste nos templates dependentes. Princípios são raros, mudam pouco e influenciam todos os artefatos. Use quando o usuário digitar "/reversa-principles", "reversa-principles", "definir princípios" ou pedir para criar/alterar/aposentar um princípio do projeto. Pode rodar antes mesmo da primeira feature.

Programmatically author RoadRunner scenarios from MATLAB using roadrunnerAPI. Use when adding actors, creating routes, building scenario logic (phases, conditions, actions), placing vehicles/pedestrians, defining cut-in/crossing/ follow scenarios, or any programmatic scenario creation in RoadRunner. Triggers on: roadrunnerAPI, scenario authoring, add actor, create route, phase logic, cut-in scenario, pedestrian crossing, scenario from MATLAB.

Use to define handoff standards for support transfers and to measure whether context survives the handoff — cold vs warm, required fields, and re-ask rate after transfer. Trigger for "transfer protocol", "warm handoff", "customers repeat themselves after transfer", "ping-pong between teams", "what should agents include when transferring", handoff quality, or re-ask rate after escalation.

Conduz uma entrevista guiada de ate dez perguntas e gera o perfil de cobranca do usuario, com pais, moeda, senioridade normalizada, taxa hora, markup de projeto, regime tributario, modelo de cobranca e perfil de cliente. Use quando o usuario digitar "/reversa-pricing-profile", "reversa-pricing-profile", "configurar perfil de cobranca", "definir taxa hora" ou pedir para configurar precificacao no Reversa.

Use to define what actually predicts support performance in your organisation and build a hiring profile around validated predictors — structured work samples, not vibes. Trigger for "hiring profile", "what should we look for in support hires", "interview scorecard for agents", "reduce bad hires", "work sample test", screening criteria review, or checking whether your interview process predicts ramp and QA.

Discover public GitHub repositories that import defineTask from @a5c-ai/babysitter-sdk and maintain a deduplicated catalog of those repositories in docs/repo-with-babysitter-processes.md. Excludes any repo named "babysitter" (to filter out forks of this monorepo). Invoke when asked to find, discover, catalog, or refresh "repos using babysitter", "babysitter in the wild", or "who else is using babysitter".

Designs high-performing team structures using organizational psychology AND creates new skills on-the-fly when team needs unmet expertise. Expert in team composition, personality balancing, collaboration ritual design, and skill creation for missing capabilities. Use for team design, role definition, skill gap identification. Activates on 'team building', 'team composition', 'skills needed', 'what skills'. NOT for general project management or solo work planning.

This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.

>- DMAIC (Define-Measure-Analyze-Improve-Control) — Six Sigma structured problem-solving for chronic, data-driven quality improvement projects. Use when a problem recurs despite corrective actions, when a process needs systematic capability improvement, or when a customer requests a Six Sigma approach. Use 8D for reactive single-incident problems; use DMAIC for recurring systemic issues requiring statistical analysis. Covers IATF 16949 §10.1 and ISO 9001 §10.3.

This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.

Use this skill when the user asks about commercial driver drug & alcohol testing under 49 CFR 382 + 40 — the six testing reasons (pre-employment, random, post-accident, reasonable suspicion, return-to-duty, follow-up), MRO process, SAP/return-to-duty process, post-accident triggers, random selection rates, what panels are tested, refusal definitions, or testing programs and consortiums. Cite specific 49 CFR 382 or 40 subsection.

Enable code intelligence (go-to-definition, find-references, hover, type info) for any programming language by installing and configuring an LSP server for Copilot CLI. Detects the OS, installs the right server, and generates the JSON configuration (user-level or repo-level). Use when you need deeper code understanding and no LSP server is configured, or when the user asks to set up, install, or configure an LSP server.

Build high-performance RPC services with gRPC and Protocol Buffers. Use when a user asks to create gRPC services, define protobuf schemas, implement streaming RPCs, build microservice communication, set up service-to-service calls, implement bidirectional streaming, add interceptors/middleware to gRPC, generate client stubs, handle gRPC errors, implement health checks, configure load balancing, or build gRPC-Web for browser clients. Covers unary, server/client/bidirectional streaming, interceptors, deadlines, metadata, reflection, and production patterns.

Redige apelacao do CPC 1.009-1.014 contra sentenca (terminativa 485 ou definitiva 487), no prazo de 15 dias uteis, com preparo sob pena de desercao (1.007), efeito suspensivo como regra (1.012, excecoes do §1), efeito devolutivo e causa madura (1.013 §3) e majoracao de honorarios recursais (85 §11). Use quando o operador disser apelar, apelacao, recorrer da sentenca, sentenca improcedente, error in judicando, efeito suspensivo da apelacao, causa madura.

Define a competencia e o foro corretos da acao civel (CPC 42-66) e trata o foro de eleicao apos a Lei 14.879/2024. Analisa competencia absoluta x relativa, foro do domicilio do reu, foros especiais, conexao/continencia, e a exigencia de pertinencia do foro de eleicao (juizo aleatorio = abuso, declinacao de oficio). Use quando o operador disser onde ajuizar, qual o foro, competencia, foro de eleicao, declinacao, conflito de competencia, incompetencia.

Access ClinPGx pharmacogenomics data (the successor to PharmGKB) to query gene-drug interactions, CPIC/DPWG dosing guidelines, drug labels, and pharmacogene records. Use when interpreting pharmacogenes (CYP2D6, CYP2C19, TPMT, DPYD, SLCO1B1), looking up genotype-guided drug dosing, checking PGx drug-safety associations (e.g. HLA-B*57:01 and abacavir), or supporting precision medicine and clinical pharmacogenomics decisions. For star-allele definitions/frequencies see PharmVar; for germline/somatic variant pathogenicity see alterlab-clinvar. Part of the AlterLab Academic Skills suite.

Strip AI-generated tells from a draft and rewrite it in your own voice. Fire on "humanize this", "de-AI this", "clean up this draft", "rewrite in my voice", "make this sound like me", "kill the AI tells", or "polish this draft". Applies a 30-pattern catalog of AI-writing tells, then re-injects a voice you define so the result reads like a person, not a politer machine. Pattern catalog based on Wikipedia's "Signs of AI writing." Forked from blader/humanizer (MIT).

Le a ata de audiencia (CPC 367 — termo da AIJ) ou a transcricao/gravacao e extrai de forma estruturada: deliberacoes do juiz, decisoes interlocutorias proferidas, prazos abertos, provas deferidas/indeferidas, designacoes futuras e providencias a cargo das partes. Alimenta cronologia-e-providencias e memoria-de-caso-civel. Use quando o operador disser resumo da ata, ler a ata, ata de audiencia, termo de audiencia, transcricao da audiencia, o que ficou definido na audiencia, ou colar o conteudo de uma ata para extrair prazos e providencias.

Trata o saneamento e a organizacao do processo (CPC 357): resolucao das questoes processuais pendentes, fixacao dos pontos controvertidos, delimitacao das questoes de direito relevantes, distribuicao do onus da prova (357 II c/c 373 §1 — distribuicao dinamica) e definicao das provas a produzir e da audiencia de instrucao. Cobre o saneamento compartilhado (357 §3) e o pedido de esclarecimento/ajuste em 5 dias (357 §1). Use quando o operador disser saneamento, decisao de saneamento, pontos controvertidos, organizacao do processo, distribuicao do onus da prova, ou houver despacho saneador a impugnar/cumprir.

Promove o cumprimento de sentenca (titulo executivo judicial) — disposicoes gerais (CPC 513), titulos judiciais (CPC 515), cumprimento DEFINITIVO de pagar quantia com intimacao em 15 dias e multa de 10% + honorarios de 10% se nao pago (CPC 523 §1, penhora/avaliacao §3), demonstrativo atualizado do debito (CPC 524), cumprimento PROVISORIO sob recurso sem efeito suspensivo (CPC 520-522), alimentos com prisao civil (CPC 528 §3) e Fazenda Publica (CPC 534-535). Use quando o operador disser cumprimento de sentenca, executar a sentenca, intimar para pagar em 15 dias, multa de 10% cumprimento, cobrar sentenca transitada.

Translate an approved experiment spec into a launch runbook — platform binding (PostHog primary), feature flag setup, assignment unit, exposure event definition, instrumentation QA, dashboard wiring, ramp plan, monitoring, and rollback procedure. Platform-agnostic core with one strong PostHog adapter shipped; GrowthBook, Statsig, LaunchDarkly, Optimizely, and Eppo documented as a single mapping table the user adapts. Load when a spec is approved and ready to launch, or when the user says "set up the experiment", "wire this up in PostHog", "implement the test", "create the runbook", "launch checklist for this test", or when the experimentation orchestrator routes here.

Write the executable feature specification — the WHAT and WHY artifact that agents and reviewers treat as source of truth. Owns both /specify and /clarify modes. Load when the user asks to write a feature spec, write a specification, write an executable spec, define functional requirements, capture acceptance criteria as Given/When/Then, or when the spec-driven-development orchestrator routes here. Also triggers on "feature spec", "executable spec", "/specify", "/clarify", "write the spec for this feature", "specification for", "spec-driven", "machine-readable spec". Output: docs/specs/YYYY-MM-DD-<slug>-feature-spec.md. Hard gate: cannot Approve while [NEEDS CLARIFICATION] markers remain.

Mask-driven image inpainting on RunComfy via the `runcomfy` CLI. Routes to Tongyi MAI Z-Image Turbo Inpainting (the dedicated inpainting endpoint with mask, strength, and control-scale) and to identity-preserving edit models (Nano Banana 2 Edit, GPT Image 2 Edit, FLUX Kontext Pro) when a mask isn't available and the region must be described instead. Use for object removal, watermark removal, region replacement, blemish cleanup, and any controlled local edit where a binary mask defines the target area. Triggers on "inpaint", "inpainting", "image inpaint", "remove from image", "fill region", "mask-driven edit", "remove watermark", "remove object", "patch the photo", "fill the hole", or any explicit ask to edit a specific masked region of a still.

Mask-driven image inpainting on RunComfy via the `runcomfy` CLI. Routes to Tongyi MAI Z-Image Turbo Inpainting (the dedicated inpainting endpoint with mask, strength, and control-scale) and to identity-preserving edit models (Nano Banana 2 Edit, GPT Image 2 Edit, FLUX Kontext Pro) when a mask isn't available and the region must be described instead. Use for object removal, watermark removal, region replacement, blemish cleanup, and any controlled local edit where a binary mask defines the target area. Triggers on "inpaint", "inpainting", "image inpaint", "remove from image", "fill region", "mask-driven edit", "remove watermark", "remove object", "patch the photo", "fill the hole", or any explicit ask to edit a specific masked region of a still.

Mask-driven image inpainting on RunComfy via the `runcomfy` CLI. Routes to Tongyi MAI Z-Image Turbo Inpainting (the dedicated inpainting endpoint with mask, strength, and control-scale) and to identity-preserving edit models (Nano Banana 2 Edit, GPT Image 2 Edit, FLUX Kontext Pro) when a mask isn't available and the region must be described instead. Use for object removal, watermark removal, region replacement, blemish cleanup, and any controlled local edit where a binary mask defines the target area. Triggers on "inpaint", "inpainting", "image inpaint", "remove from image", "fill region", "mask-driven edit", "remove watermark", "remove object", "patch the photo", "fill the hole", or any explicit ask to edit a specific masked region of a still.