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Busabase-backed family-office App-in-Skill that consolidates multi-entity investment holdings into one read-only dashboard. Use when the user invokes $kelly-family-office or /kelly-family-office, wants a consolidated family office view, multi-entity aggregation across an individual, trust, company, fund, or foundation, total AUM in a base currency, asset allocation by asset class, by entity/member, or by custodian/institution, multi-currency FX consolidation, CSV import of holdings, unrealized P/L, or read-only portfolio monitoring. It reads Busabase only and NEVER moves money or trades.

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Build and operate a Busabase-backed mainland China A-share strategy experiment desk with a bundled local Hono App-in-Skill, evidence-backed strategy research, strategy-level L1/L2/L3 manual maturity approvals, one CNY virtual ledger per strategy, and dated strategy backtest reports. Use when the user invokes $kelly-invest-stock or /kelly-invest-stock, wants to define or compare A-share strategies, inspect a strategy and its virtual book, record research evidence, manually approve strategy maturity, or review dated backtests, drawdown, and contribution to the total book. It never connects to a brokerage, places orders, moves money, or presents generated analysis as personalized investment advice.

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。

Busabase-backed household pooled-pension / elder-care fund App-in-Skill (家庭统筹基金) that keeps one read-only bookkeeping dashboard where transparency equals fairness. Use when the user invokes $kelly-family-fund or /kelly-family-fund, wants to pool two elders' pensions (退休金) managed by one steward (统筹人), pay a fixed care cost (养老院 / nursing home), and share the surplus across sibling families (交通/聚餐/生日礼物/人情/social gifts), track a household fund balance and monthly income/expense/net, see per-family cumulative benefit, share %, and fairness deviation (公平), a per-category spend split, CSV import or manual ledger entry (记账). It reads Busabase only and NEVER moves money.

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。

Execute a single deterministic Python script to harmonize units, create/update metadata, move files to output_data/, and clean up input_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。

Use when the user asks to modify an existing rough cut — shorten, lengthen, remove a clip, reorder, change BGM, adjust pacing. Works by generating a review_patch and re-compiling.

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。

Detect malicious scheduled task creation and modification using Sysmon Event IDs 1 (Process Create for schtasks.exe), 11 (File Create for task XML), and Windows Security Event 4698/4702. The analyst correlates task creation with suspicious parent processes, public directory paths, and encoded command arguments to identify persistence and lateral movement via scheduled tasks. Activates for requests involving scheduled task detection, Sysmon persistence hunting, or T1053.005 Scheduled Task/Job analysis.

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。

Detect abuse of service accounts through anomalous interactive logons, privilege escalation, lateral movement, and unauthorized access 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。

This skill covers detecting sophisticated cyber-physical attacks that follow the Stuxnet attack pattern of modifying PLC logic while spoofing sensor readings to hide the manipulation from operators. It addresses PLC logic integrity monitoring, physics-based process anomaly detection, engineering workstation compromise indicators, USB-borne attack vectors, and multi-stage attack chain detection spanning IT-to-OT lateral movement through to process manipulation.

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Deploys deception-based honeytokens in Active Directory including fake privileged accounts with AdminCount=1, fake SPNs for Kerberoasting detection (honeyroasting), decoy GPOs with cpassword traps, and fake BloodHound paths. Monitors Windows Security Event IDs 4769, 4625, 4662, 5136 for honeytoken interaction. Use when implementing AD deception defenses for detecting lateral movement, credential theft, and reconnaissance.

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Designs and implements VLAN-based network segmentation on managed switches to isolate network zones, enforce access control between segments, and reduce the attack surface by limiting lateral movement paths in enterprise network environments.

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。

Builds comprehensive identity governance and lifecycle management processes including joiner-mover-leaver automation, role mining, access request workflows, periodic recertification, and orphaned account remediation using IGA platforms. Activates for requests involving identity lifecycle management, JML processes, role-based access provisioning, or identity governance program design.

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。

Traces ransomware cryptocurrency payment flows using blockchain analysis tools such as Chainalysis Reactor, WalletExplorer, and blockchain.com APIs. Identifies wallet clusters, tracks fund movement through mixers and exchanges, and supports law enforcement attribution. Activates for requests involving ransomware payment tracing, bitcoin wallet analysis, cryptocurrency forensics, or blockchain intelligence gathering.

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Analyzes Windows Security, System, and Sysmon event logs in Splunk to detect authentication attacks, privilege escalation, persistence mechanisms, and lateral movement using SPL queries mapped to MITRE ATT&CK techniques. Use when SOC analysts need to investigate Windows-based threats, build detection queries, or perform forensic timeline analysis of Windows endpoints and domain controllers.

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Identifies and unpacks UPX-packed and other packed malware samples to expose the original executable code for static analysis. Covers both standard UPX unpacking and handling modified UPX headers that prevent automated decompression. Activates for requests involving malware unpacking, UPX decompression, packer removal, or preparing packed samples for analysis.

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。

Analyzes network traffic captures and flow data to identify adversary activity during security incidents, including command-and-control communications, lateral movement, data exfiltration, and exploitation attempts. Uses Wireshark, Zeek, and NetFlow analysis techniques. Activates for requests involving network traffic analysis, packet capture investigation, PCAP analysis, network forensics, C2 traffic detection, or exfiltration detection.

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Analyzes network traffic generated by malware during sandbox execution or live incident response to identify C2 protocols, data exfiltration channels, payload downloads, and lateral movement patterns using Wireshark, Zeek, and Suricata. Activates for requests involving malware network analysis, C2 traffic decoding, malware PCAP analysis, or network-based malware detection.

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。

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

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 the full DSH sovereign lockdown: kill known phone-home daemons (Google, Zoom, CodeWhisperer), pin DNS to dnscrypt-proxy, enable firewall + stealth, install a pf anchor blocking telemetry endpoints, and permanently remove unauthorized LaunchAgents. Verifies with audit.sh + dome-check.sh and surfaces any remaining gaps.

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。

Switch the current Cursor workspace to a different project directory using the cursor-app-control MCP. Use when the user asks to switch projects, open another repo, jump to a different codebase, or move to a worktree.

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。

Move issues and external PRs through a state machine of triage roles — categorise, verify, grill if needed, and write agent-ready briefs.

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。

Focused Signals scout for PostHog projects moving data through pipelines. Watches the three delivery surfaces — CDP destinations and transformations (hog functions), batch exports, and hog flows (workflows/messaging) — for contradictions between configured state and actual delivery: functions the watcher quietly degraded or disabled, failure rates stepping above a pipeline's own baseline, batch export runs failing or stalling (a growing data gap), and active flows failing for the people they trigger on. Emits findings only when they clear the confidence bar; otherwise writes durable memory and closes out empty. Self-contained peer in the signals-scout-* fleet — no dependencies on other skills.

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。

Signals scout that watches a PostHog project's most-viewed dashboards and insights for recent anomalies — sudden bursts, drops, flat-lines, and trend breaks at the daily or hourly level. It discovers what the team actually looks at (view counts, dashboard access), curates a durable watchlist in the scratchpad, and balances re-checking known high-value insights (exploit) against discovering new ones (explore) across runs, since no single run can cover a busy project. Anomalies are scored by robust deviation from each insight's own seasonality-matched baseline; it emits a finding only when a move clears the confidence bar, otherwise it updates the baseline memory and closes out empty. Self-contained peer in the signals-scout-* fleet.

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Manage PostHog subscriptions — scheduled email, Slack, or webhook deliveries of insight or dashboard snapshots, optionally with an AI-written summary attached to each delivery. Use when the user wants to subscribe to an insight or dashboard, get an AI summary attached to those deliveries, check existing subscriptions, change delivery frequency, add or remove recipients, or stop receiving updates.

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。

Crawl all links in a file or project, test each for a valid HTTP response, report broken ones, and fix or remove them.

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。