2,098 件 ・ 関連度順
概要と使いどころ
- Extract and interpret embedded file metadata with exiftool — EXIF GPS coordinates, camera make, model and serial, DateTimeOriginal and CreateDate timestamps, XMP and IPTC fields, and Office and PDF… Use when reading EXIF from a photo, checking who really wrote a document, dating a file, fingerprinting a camera or phone, or investigating provenance in JPEG, HEIC, RAW, MP4, DOCX, XLSX or PDF
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。
- Mine GitHub, GitLab and git history for identities, infrastructure and leaked credentials using commit author emails, GitHub code search, the commit… Use when investigating a developer or organisation on GitHub, finding leaked API keys, AWS keys or tokens in code, enumerating org members and their personal repos, or recovering secrets deleted from HEAD but still present in history or forks
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。
- End-to-end passive reconnaissance for a domain, website or IP — builds an asset inventory covering registration, DNS, subdomains, infrastructure, tech stack, history and ownership without sending a single packet to the target. Use when asked to research or profile a domain or website, map what an organisation runs, or investigate a suspicious site without alerting its operator
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 an investor-outreach wave end to end: assemble the batch of targets, personalize pitches from real templates, send from the designated account, and log every touch in the CRM. Walks the exact checklist with rate limits and dedup against everyone already contacted. Triggers: "/notpeople-wave", "next outreach batch".
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。
- Trace cryptocurrency addresses and transactions on public blockchains using block explorers including Etherscan, Blockchair, mempool.space and Blockscout. Use when following a Bitcoin or Ethereum wallet, investigating where a ransom or scam payment went, or checking an address against sanctions listings
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。
Investigate the root cause of a recurring or systemic defect across a series of incidents, not a single one. Use on the third recurrence, or when someone asks 'why again?', 'five whys', 'fix the root'. Skip for one or two ordinary cases, an already proven simple cause, or a one-off external outage. Triggers: /five-whys, five whys, fix the root.
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。
Research any open-source repository end to end and answer the core question — SHOULD YOU contribute to it? — with a GO / NO-GO / GO-IF verdict backed by evidence: snapshot, momentum, contribution landscape (PR acceptance rates, outside-contributor merge rates, first-timer outcomes), issue health, governance, community sentiment, and a final go/no-go recommendation. Use when the user asks 'should I contribute to X', wants a before-I-contribute due-diligence check on a project, asks whether a project accepts outside PRs, wants contribution-health numbers like PR merge rates or stale-PR counts, or asks for a deep dive on an open-source codebase's health and dynamics before investing time in it.
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。
Manage the NV oOS Pro Toolkit Security Operations system — audit events, security training, maintenance windows, and incident records. Covers the full security ops lifecycle: audit logging, incident detection/response, maintenance scheduling, and compliance training tracking. Use when working with security audit trails, investigating incidents, scheduling maintenance windows, managing security training programs, or troubleshooting security operations data.
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。
Orchestrate comprehensive SEO work across technical, content, schema, backlinks, local, ecommerce, programmatic SEO and AI-search/GEO. Use for full-site audits, SEO plans, or multi-specialist SEO investigations.
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 and review paid-media budgets, bidding, pacing, marginal return, forecasts, CPA, ROAS, MER, LTV:CAC, constraints, and allocation across supported platforms. Use for ad budget allocation, media budget, bidding strategy, scaling, spend pacing, budget forecast, ROAS target, or investment tradeoffs.
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。
Apply poteto's rigorous engineering workflow to non-trivial coding, investigation, review, migration, and verification tasks.
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。
Deep, iterative internet research for current facts, source triangulation, contradiction checks, due diligence, competitive analysis, claim verification, "latest" lookups, and cited reports. Use when the user asks to browse, search, research the web, verify claims, compare sources, gather primary sources, investigate companies, people, products, technical topics, news, events, markets, or create AKBP-ready durable research evidence.
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。
View publication history for catalog resources — who changed what and when. Use when investigating timeline of changes, finding who modified a connector, or correlating changes across capture/collection/materialization chains. Use when user says "what changed", "who changed", "publication history", "catalog history", "when was it published", "timeline of changes", or "what happened to my connector".
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。
Search and analyze Estuary task logs with jq filtering. Use when investigating task failures, debugging connector errors, analyzing behavior patterns, or streaming live logs. Use when user says "check logs", "show me logs", "task failing", "why is my capture failing", "why is my materialization failing", "error messages", "why did it fail", "search task logs", "shard failed", "follow logs", "increase log level", "debug logging", "is this log message normal", "what does this message mean", "connection timeout", or "i/o timeout".
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。
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.
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 working with Dagster — dagster data orchestration platform management. Covers asset management, pipeline runs, sensor and schedule status, IO manager configuration, partition management, and resource health. Use when checking asset materialization status, investigating run failures, managing schedules/sensors, or analyzing Dagster deployments.
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 working with Dbt — dbt (data build tool) project management and monitoring. Covers model runs, test results, source freshness, documentation generation, manifest analysis, and dbt Cloud API integration. Use when checking dbt run status, investigating test failures, analyzing model lineage, or managing dbt Cloud jobs.
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 working with Coralogix — coralogix observability platform for log analytics, metrics, tracing, security, and alerting. Covers log querying with DataPrime, metric exploration, alert management, parsing rules, and data usage insights. Use when searching Coralogix logs, investigating application errors, managing alert rules, or analyzing log ingestion patterns.
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 working with Detox — detox React Native testing management and analysis. Covers test configuration review, device and simulator management, build configuration analysis, test result parsing, artifact collection, and test runner integration. Use when managing Detox test suites, investigating mobile test failures, or reviewing React Native E2E testing configurations.
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 working with Cypress Deep — cypress end-to-end testing management and analysis. Covers test execution monitoring, dashboard integration, screenshot and video analysis, test report parsing, flaky test detection, and configuration auditing. Use when investigating test failures, reviewing Cypress Cloud results, or managing Cypress test suites.
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 working with Dagster Deep — dagster deep data orchestration management covering job and asset inventory, run monitoring, schedule and sensor health, partition status, resource configuration, and daemon health checks. Use when investigating run failures, analyzing asset materialization, monitoring schedule ticks, or auditing Dagster configurations.
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 working with Cucumber — cucumber BDD testing management and analysis. Covers feature file organization, step definition mapping, scenario tagging, Gherkin syntax validation, test report parsing, and step reuse analysis. Use when managing Cucumber test suites, investigating BDD scenario failures, or reviewing feature file coverage.
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 working with Contentful — contentful headless CMS management covering space and environment inventory, content type analysis, entry and asset monitoring, locale configuration, webhook tracking, API key auditing, and usage quota monitoring. Use when reviewing content models, investigating publishing issues, monitoring API usage, or auditing space access.
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 working with Bitbucket Deep — bitbucket deep platform management covering repository inventory, Pipelines CI/CD monitoring, pull request analysis, branch permission auditing, deployment environment tracking, and workspace member management. Use when auditing repository configurations, investigating pipeline failures, reviewing branch restrictions, or managing workspace access.
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。