「pert」の検索結果

TimescaleDB - PostgreSQL extension for high-performance time-series and event data analytics, hypertables, continuous aggregates, compression, and real-time analytics

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Use when working with Handsontable themes, CSS custom properties, SCSS files, theme tokens, or visual styling - covers theme architecture, CSS variable API, the strict CSS/JS separation rule, and the four-layer process for adding or renaming theme tokens

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Expert guidance for deep security incident and entity investigations in Google SecOps. Use when investigating cases, analyzing entities (hosts, IPs, domains, hashes, users), extracting and searching UDM events, performing asset and user timeline analysis, and detecting lateral movement across enterprise networks. Don't use for detection rule authoring or YARA-L tuning (use secops-detection-engineering), proactive hypothesis-driven hunting (use secops-hunt), initial alert triage (use secops-triage), or basic case status updates (use secops-cases).

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Expert guidance for proactive threat hunting in Google SecOps. Use when proactively hunting for threats, retroactively analyzing indicators of compromise (IoCs), performing prevalence searches across enterprise events, hunting for MITRE ATT&CK techniques, or detecting behavioral and statistical outliers using UDM queries. Don't use for incoming alert triage (use secops-triage), active incident response and timeline deep-dives on a known breach (use secops-investigate), or detection rule authoring (use secops-detection-engineering).

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Provides expert guidance on Identity and Access Management (IAM) and authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.

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Expert guidance for security alert triage in Google SecOps. Use when investigating and triaging security alerts, determining false positives vs. true positives, assessing entity risk, adjusting alert severity or priority, and closing or escalating alerts and cases. Don't use for deep multi-hop incident investigations across host timelines (use secops-investigate), proactive threat hunting or retroactive IoC sweeps (use secops-hunt), or authoring new detection rules (use secops-detection-engineering).

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Runbook for scoring and routing a new HubSpot lead to the right rep for {{projectName}} — territory matching, segment specialists, the stateless round-robin pool, intent scoring, HubSpot property writes, Slack notifications, and when to escalate an ambiguous lead to a human instead of guessing.

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Weekly QBR-prep runbook. Finds every account whose next QBR falls within {{lookahead_days}} days of HubSpot's {{qbr_date_property}} field, pulls usage trends from Postgres and account/CSM data from HubSpot, and assembles a draft deck plus a briefing doc under {{decks_folder}} — read-only across every source system.

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Weekly HubSpot pipeline-to-forecast rollup — weights every open deal by its own HubSpot stage probability, rolls the total up by stage, rep, and segment ({{segment_property}}) against {{quarterly_quota}}, and flags deals slipping the quarter and other forecast risk before posting to {{forecast_channel}}. Read-only; never changes a deal's amount, close date, stage, or owner.

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Multi-agent collaborative debate producing visible round-by-round transcripts with real intellectual friction — members are topic-briefed custom agents, run as a 3-round DEBATE or a 1-round QUICK check, to find the best path. USE WHEN council, debate, multiple perspectives, weigh options, deliberate, get different views, what would experts say, pros and cons. NOT FOR pure adversarial attack (use RedTeam).

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Adversarial analysis deploying parallel expert agents to stress-test ideas, strategies, and plans — decomposes into atomic claims, attacks them, then steelmans and counter-argues, producing severity-ranked findings with remediation. USE WHEN red team, attack idea, counterarguments, critique, stress test, devil's advocate, find weaknesses, break this, poke holes, strongest objection. NOT FOR collaborative debate to find best path (use Council).

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Assertion-first AI eval framework aligned to Anthropic's 'Demystifying evals for AI agents' — typed deterministic asserts + a forced-structured LLM judge over an input→assert case schema, pass^k/pass@k, capability vs regression suites, subscription-billed. USE WHEN eval, evaluate, benchmark, regression test, assertion, assert, llm-rubric, judge, pass@k, pass^k, grade output, compare prompts/models, test agent. NOT FOR scientific-method framing (use Science), property/mutation testing of code (use Hardening), or live UI verification (use Interceptor).

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Structured multi-angle exploration running 2-8 sequential passes over the same problem, each through a different scientific lens, to surface hidden requirements and edge cases invisible from one angle; each pass yields new ISC criteria. USE WHEN iterative depth, explore deeper, multi-angle analysis, surface hidden requirements, blind spot check, what am I missing. NOT FOR scope/zoom analysis (use ApertureOscillation).

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Terraform IaC expert for providers, modules, state management, and planning

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Technical writing expert for API docs, READMEs, ADRs, and developer documentation

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Security audit expert for OWASP Top 10, CVE analysis, code review, and penetration testing methodology

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SQL query expert for optimization, schema design, and data analysis

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Vector database expert for embeddings, similarity search, RAG patterns, and indexing strategies

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System administration expert for Linux, macOS, Windows, services, and monitoring

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Shell scripting expert for Bash, POSIX compliance, error handling, and automation

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Expert knowledge for AI deep research — methodology, source evaluation, search optimization, cross-referencing, synthesis, and citation formats

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AWS cloud services expert for EC2, S3, Lambda, IAM, and AWS CLI

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Data pipeline expert for ETL, Apache Spark, Airflow, dbt, and data quality

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Microsoft Azure expert for az CLI, AKS, App Service, and cloud infrastructure

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