1.3천건 · 관련도순
Build and review Kubernetes Operators, controllers that keep custom resources in their desired state. Included tools check resource definitions and Go reconciliation code, then assess operational capabilities and suggest improvements.
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Review early connections to third-party services such as fonts and APIs. Use loading measurements to identify essential domains, recommend preconnect hints that prepare connections in advance, and remove unnecessary hints that add overhead.
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General ledger reconciliation for A-share fund administration. Tracks fund accounting reconciliations including securities, cash, income, and expense accruals. Adapted from the original gl-recon skill for fund accounting standards. Triggers on "基金总账核对", "基金科目核对", "GL reconciliation fund", "fund accounting recon", or "reconcile [fund] books".
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Compare general ledger balances, the main accounting records, with detailed ledgers, bank statements, or related company balances. Categorize differences, identify items needing corrections or investigation, and track unresolved items by age for follow-up and review.
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Reconcile Stripe activity and bank transactions against invoice records using consistent fee and timing allowances. Record explained differences in the reconciliation sheet and flag unresolved transactions with supporting references for a person to review.
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Query, display, and resolve reconciliation gaps from the TRES Finance MCP connector. Trigger this skill ONLY when the user explicitly requests to view or close reconciliation gaps — for example: "show me the reconciliation gaps", "close the recon gaps", "view gaps for today", "plug the reconciliation gaps for ETH", "fix the gaps for USDC and BTC". Do NOT trigger for general balance queries, transaction history, or ledger browsing. Covers the full workflow: confirming the target date, optionally filtering by asset, fetching gap data, enriching with fiat and on-chain balances, rendering an HTML dashboard where each gap row has copy-prompt buttons (Plug / Auto-fill) — clicking copies a ready-to-paste Claude prompt for that gap. The user pastes it in the chat and Claude executes the action. Ends with a data collect once the user is done.
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General ledger reconciliation for A-share companies. Adapts the original gl-recon skill for Chinese accounting standards, chart of accounts, and common reconciliation items. Triggers on "A股总账核对", "总账调节", "GL reconciliation China", "科目余额表", or "reconcile [company] accounts".
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Reconcile general ledger and subledger extracts for the same entity, asset class, and date. Match transactions or positions, report differences in amounts, quantities, or posting dates, and summarize likely causes alongside the matching rate.
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Map an organization's internet-facing assets using public information, including domains, indexed services, employee details, and leaked data. Compile findings into a reconnaissance report to support authorized security assessments and identify potential exposure.
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Reconcile accounting records with payment service payouts, identify discrepancies, possible duplicates, and missing receipts, then prepare a plain-English profit and loss summary with an Excel workbook and a one-page PDF for month-end review.
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Coordinate month-end reconciliation, owner sign-off, and a 30/60/90-day cash forecast based on closed books. Combine the results into a reporting packet with financial explanations and open items, with approval required before external delivery.
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Reconcile accounts by comparing GL balances to subledgers, bank statements, or third-party data. Use when performing bank reconciliations, GL-to-subledger recs, intercompany reconciliations, or identifying and categorizing reconciling items.
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Cold-start brownfield reconnaissance — reconstruct the WHOLE game design from an existing codebase when there is no GDD yet. Optionally accepts a free-text game description, notes, or reference links to guide and enrich the scan. Use when the user wants to build the game design from the code, e.g. "create a GDD from this codebase", "reconstruct the design from our code — it's a roguelike deck-builder", "build a design doc from the existing project, here are some refs". Scans the project (engine auto-detected), extracts a system roster + dependency graph and content-type schemas / resources / entities into one passive .unikit/gamedesign/RECON.md, tags every fact provenance:extracted-from-code, and writes a mandatory Intent Gap for what code cannot know (pillars, fantasy, the "why"). Writes nothing else and calls no skill. STRICTLY whole-project cold-start — if a GDD already exists and the user wants a specific part investigated, use /unikit-gd-explore (code lens); to author the GDD use /unikit-gd-spec.
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Conducts external reconnaissance using Open Source Intelligence (OSINT) techniques to map an organization's external attack surface without directly interacting with target systems. The tester gathers information from public sources including DNS records, certificate transparency logs, search engines, social media, code repositories, and data breach databases to build a comprehensive target profile. Activates for requests involving OSINT reconnaissance, external footprinting, attack surface mapping, or passive information gathering.
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Conducts external reconnaissance using Open Source Intelligence (OSINT) techniques to map an organization's external attack surface without directly interacting with target systems. The tester gathers information from public sources including DNS records, certificate transparency logs, search engines, social media, code repositories, and data breach databases to build a comprehensive target profile. Activates for requests involving OSINT reconnaissance, external footprinting, attack surface mapping, or passive information gathering.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Conducts external reconnaissance using Open Source Intelligence (OSINT) techniques to map an organization's external attack surface without directly interacting with target systems. The tester gathers information from public sources including DNS records, certificate transparency logs, search engines, social media, code repositories, and data breach databases to build a comprehensive target profile. Activates for requests involving OSINT reconnaissance, external footprinting, attack surface mapping, or passive information gathering.
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Review slow page loads and choose resource hints, browser instructions that start loading or connecting earlier. Use measurements to identify bottlenecks, then recommend preload, preconnect, prefetch, or dns-prefetch for important assets and likely next-page resources.
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Create editable PowerPoint decks, reconstruct slides from images, improve existing presentations, and fill templates. The workflow also covers reusable design workspaces and adding narration or animation, including narrated videos authored from presentations.
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Reconstruct how an AI coding agent produced a feature, pull request, or report using local ax records. Connect sessions, commits, skills, and tool activity into an evidence-based sequence with key decisions, checks, and a repeatable recipe.
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Investigate a mismatch between the general ledger and a supporting ledger by tracing both sides to their original entries. Compare transaction details and return a concise cause, responsible team, expected resolution date, and recommended action.
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Investigate domains, IP addresses, and certificates linked to suspected attackers using public sources. This skill guides passive research and relationship mapping to support phishing investigations, external exposure reviews, and threat intelligence reports.
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Build a shared incident timeline in Timesketch from endpoint, server, and cloud logs. Search events, add tags and investigator notes, reconstruct the attack sequence, and organize findings into a story for incident reporting.
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Reconstruct Windows folder browsing activity from Shellbag registry records using SBECmd and ShellBags Explorer. Investigate traces of deleted directories, disconnected USB drives, and network shares while accounting for limits in what the records and timestamps show.
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Examine NTFS disk images for residual or hidden data beyond standard file recovery. Analyze file metadata, change records, unused space within allocated storage, and Alternate Data Streams to reconstruct available activity and identify suspicious timestamp differences.
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