'triage mode' 검색 결과

Claude skill that turns Claude into a Connecticut-specific divorce planner — nine operating modes from pre-flight intake to post-judgment modification, modeled on Untangle.us's feature surface and grounded in C.G.S. Title 46b, Practice Book Chapter 25, and the 2026-08-01 CCSG schedule. Covers eligibility triage (nonadversarial under § 46b-44a vs standard), financial affidavit (JD-FM-6), child support (JD-FM-220 / CCSG-1 / 1A), alimony (§ 46b-82 fourteen factors), parenting plan (with GAL/AMC escalation under JD-FM-224), settlement agreement (JD-FM-172, TCJA-aware), filing packet (marshal 12-day rule, $360 + $50 fees, JD-FM-75 waiver), and post-judgment motion practice. Hard UPL gate: refuses non-CT, domestic violence (refers CTCADV 1-888-774-2900), hidden assets, courtroom advocacy. Heppner-aware: AI prompts are not privileged. First family-law skill in the Lawvable registry.

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Cyber threat intelligence and OSINT analysis toolkit. Runs structured investigations and delivers analyst-grade intelligence products with sourced, trust-scored findings. Use for OSINT and CTI cases, digital-footprint and exposure review, domain/subdomain/DNS/certificate recon, web-infrastructure pivoting (favicon hashes, tracker IDs, TLS certs, phishing-kit fingerprinting, campaign clustering), username/email/phone enumeration, breach and infostealer-log triage, image forensics, geolocation, crypto-wallet and IBAN/bank-account tracing, darknet search, M365/Azure and SaaS tenant recon, China/Sinophone recon (ICP filings, PRC corporate registries, Baidu/FOFA/Quake/ZoomEye), vulnerability and ransomware lookup, threat modeling, PII redaction, and structured reporting. Commands include /case, /sweep, /query, /webpivot, /username, /phone, /email-deep, /breach-deep, /icp, /cn-corp, /iban, /stealer-log, /exposure, /threat-model, /report, /brief, /redact, /apikeys.

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Routes, triages, flags and rates a piece of text with a probability for every option: which department or queue a ticket goes to, which intent a message expresses, whether a yes/no condition holds (is this tool call grounded, should the agent ask first, is the customer angry), and how severe or urgent it is on a rubric, each with a calibrated confidence. Runs Claude Haiku in the request and response shapes of OpenAI's Decisions API, for when no purpose-built decision model is at hand. Use for "route this ticket", "triage these", "classify with a confidence", "give me a probability that", "rate the severity", "score against this rubric", guardrail checks before a tool call, or "a Decisions API without OpenAI".

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Use when receiving external input that needs structured intake before action — PR review feedback, code review comments, OR issue tracker items (bug reports, feature requests). PR Review Mode (default) verifies suggestions before implementing. Issue Triage Mode classifies issues into a state machine (ready-for-agent / ready-for-human / needs-info / wontfix) and emits AGENT-BRIEFs for AFK execution. Prevents blind implementation, enforces verification-first discipline.

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Extracts paper recommendations from social-media posts and online articles (小红书 / Xiaohongshu / RedNote, 微信公众号 / WeChat Official Accounts, Twitter / X threads, Reddit posts, Bilibili videos, blog posts, newsletters, Jina Reader URLs), identifies the underlying academic papers, locates the authoritative original sources (arXiv, conference proceedings, DOI), and triages relevance to the user's research before any library action. Use when the user forwards a social-media link, screenshot, or article that mentions a paper / method / model, asks to "find the original paper" from a blog or thread, shares a 调研贴 / 论文推荐 / paper recommendation post, or wants to evaluate whether a buzz-worthy paper is worth reading before adding it to Zotero.

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Analyze cybersecurity threat intelligence, triage security alerts, classify IOCs, map attacks to MITRE ATT&CK kill chain, reduce false positives, and attribute threat actors. Covers SIEM tuning, threat feed quality, detection coverage gaps, Diamond Model analysis, and strategic threat assessments for SOC and incident response teams.

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Audit customer service triage systems for ticket routing, classification, and SLA compliance. Triggers: you need to evaluate ticket auto-classification accuracy, priority scoring models, skill-based routing logic.

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Audit emergency and crisis triage systems for call prioritization accuracy, resource dispatching algorithm quality, severity classification model evaluation, response time optimization, geographic coverage analysis, mutual aid protocol readiness, and post-incident review workflows..

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Sistema autônomo multi-agente para startups em Claude Code. Ativado com "Loki Mode". Orquestra 100+ agentes especializados em engenharia, QA, DevOps, segurança, dados/ML, operações comerciais, marketing, RH e sucesso do cliente. Vai de PRD para produto totalmente implantado e gerando receita com zero intervenção humana. Inclui ferramenta Task para despacho de subagentes, revisão de código paralela com 3 revisores especializados, triagem de problemas baseada em severidade, fila de tarefas distribuída com tratamento de dead letter, implantação automática em provedores de nuvem, testes A/B, loops de feedback de clientes, resposta a incidentes, circuit breakers e auto-recuperação. Gerencia limites de taxa via checkpoints de estado distribuído e retomada automática com backoff exponencial. Requer flag --dangerously-skip-permissions.

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BDB Engineering Godmode, enforcing strict Domain-Driven Design, TypeScript strictness, and Clean Architecture. Use when implementing backend/fullstack features or running the systematic 5-step debugging triage.

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Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A/B testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.

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CTF challenge ana orkestratörü — kategori tespiti, modern saldırı patern tanıma, ilgili skill arama, cross-skill zincir koordinasyonu, hızlı referans erişim. Auto-solver ve hint-system routing.

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OpenAI Codex (CLI / IDE / cloud / ChatGPT desktop app) リファレンス。 GPT-6 系, Fast / Ultrafast mode, codex exec, スラッシュコマンド, prompting, AGENTS.md, rules, subagents, approvals, auto-review, sandbox, permission profiles, profiles, config.toml, 環境変数, roles, MCP 設定, GitHub Action, Codex SDK, App Server (JSON-RPC), Agents SDK 連携, Codex skills (.agents/skills), plugins, scheduled tasks, Browser, Computer Use, cloud / local / worktree 環境, git worktrees, Record & Replay, cloud 委譲, GitHub / GitLab / Linear / Slack 連携, administration, provisioning, analytics API, compliance API, LLM gateway, Codex Security 脆弱性スキャン (SARIF), deep scan, triage, findings, threat model, security hardening。

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사용자나 상황에 맞는 상위 후보를 고르는 추천 및 순위 처리 흐름을 설계합니다. 후보 수집부터 점수 계산, 선택, 기록까지 여섯 단계로 나누고 실행 가능한 코드 틀을 만듭니다.

• 개인화 콘텐츠 전달 설계
• 검색 또는 RAG 결과 재정렬
• 작업 우선순위 결정

API와 개발 도구 계획을 개발자의 관점에서 대화하며 검토합니다. 경쟁 제품과의 차이와 도입 과정의 장애물을 정리하고 목적에 맞게 개선점을 살펴봅니다.

• API나 SDK 계획 재검토
• 개발자의 초기 도입 장애물 확인
• 경쟁 제품과 개발자 경험 비교

Generate candidate positions and orientations for small molecules binding to proteins with DiffDock and DiffDock-L. Prepare single or batch docking runs, organize predicted poses by model confidence, and review validation needs without treating confidence as binding affinity.

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• Predicting binding poses for a protein and small molecule
• Preparing and validating batch docking inputs
• Comparing poses across receptor conformations

Capture unexpected behavior and workarounds encountered while using Prisma 8, Prisma Compute, or Prisma Postgres. Record symptoms, causes, versions, and reproduction steps in a local log linked to a Linear ticket, checking for duplicates first.

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• Recording an unexpected Prisma error and its workaround
• Documenting undocumented behavior found in an example app
• Preserving reproduction steps from a customer report

Rank problems and proposed fixes using four scored criteria: expected benefit, implementation cost, deployment ease, and risk. The skill produces a sorted priority table with scoring rationales and explains why the top three items should come first.

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• Prioritize fixes from audit findings
• Rank improvement actions after a retrospective
• Sequence risk mitigation measures

Draft customer replies using order details, payment status, support history, and refund policies, matching the owner's writing style. With connected tools, prepare approved refunds and identify Shopify orders that need attention before customers contact support.

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• Drafting replies to order status questions
• Preparing policy-based responses to refund requests
• Checking previous support exchanges before replying

Investigate a GitHub issue or bug report by tracing code, checking relevant history, and testing the diagnosis where needed. Receive a concise verdict, supporting evidence, a proposed fix direction, and a record for follow-up questions.

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• Triaging a newly reported bug
• Tracing the root cause of unexpected behavior
• Investigating a regression and its originating change

Set up Loop Engineering through a single command-line tool, choosing a workflow pattern and agent tool. Start in report-only mode, check setup health and readiness, and provide next actions and first-run instructions.

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• Introducing a daily issue and priority review workflow
• Setting up workflows for stalled pull requests or failing CI
• Checking the health of an existing Loop Engineering setup

Compare saved privacy reviews or proposed data uses with current privacy commitments. Identify missing or conflicting disclosures, distinguish required from advisable updates, and draft suggested wording with recommendations on when to make changes.

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• Check whether a proposed data use is covered by the privacy policy
• Review saved privacy assessments for policy gaps
• Compare consent banners and app store labels with the policy

Inspect production AI agents in FailproofAI Cloud using the fp CLI. Review errors, run histories, quality scores, and usage, then manage issues, audits, user access, and scoped API keys for the team's deployment.

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• Investigating failed agent runs
• Checking for drops in quality scores
• Running audits and triaging findings

Business operations command center. Routes to the right ops command based on what you need — briefing, inbox, fires, projects, comms, triage, linear, revenue, deploy, or yolo mode.

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