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概要と使いどころ
Code review by several models at once — Claude sub-agents, OpenAI Codex, and a cheap third reviewer via OpenCode — reconciled into one report. Reviews whatever is named: a diff, a branch, specific files, one function, a legacy module, a whole repo. Use for any review request, a second or third opinion, a cross-check before a PR, or "code-review", "multi", "consensus review".
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Post-mortem analysis of a PhysicsIntern workspace run (Claude Code, Pi, Codex, or OpenCode host). Reconstructs the trajectory from the session record — JSONL file(s) for Claude/Pi/Codex, the SQLite store for OpenCode — audits methodology adherence against the workspace's own CLAUDE.md / AGENTS.md and skill/agent prompts, checks commit discipline and flag dispositions, and assesses substantive quality. Produces a thorough evidence-anchored markdown report. Use after a workspace has been worked on to identify what went well, where the methodology slipped, and what prompts to improve.
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Reverses proprietary command-and-control protocols: locating send/recv routines, recovering the message framing and encryption/encoding, and reconstructing the command set to build a decoder or emulator. Activates for requests to reverse a custom C2 protocol, decode beacon traffic, or document a malware command structure.
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Carves injected PE images and position-independent shellcode from a memory dump or carved region, identifies the payload type, and prepares it for disassembly or emulation. Activates for requests to recover injected code, carve shellcode from memory, or reconstruct a dumped payload for analysis.
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Analyzes two modern delivery techniques: malicious OneNote (.one) attachments with embedded payloads behind fake buttons, and HTML smuggling pages that reconstruct payloads in the browser from embedded blobs. Activates for requests to analyze a malicious OneNote file, detect HTML smuggling, or extract a smuggled/embedded payload.
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 API call traces from a sandbox or API monitor (JSON) to group calls by category, reconstruct high-level behaviors (process injection, file drops, network, crypto), and flag suspicious call sequences. Activates for requests to analyze an API trace, interpret sandbox API logs, or identify behavior from Win32/Native API calls.
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。
Defeats control-flow-flattening obfuscation by identifying the dispatcher/state- variable structure and reconstructing the original control flow so the logic becomes readable. Activates for requests to defeat control-flow flattening, deobfuscate an OLLVM-flattened function, or recover original control flow from a dispatcher loop.
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。
Rebuilds a usable PE file from a memory dump by fixing the section alignment (virtual-to-raw), correcting the entry point, and preparing for import table reconstruction. Activates for requests to rebuild a dumped PE, fix a memory-dumped executable, or convert a process dump into an analyzable file.
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 selecting or composing behavior-preserving refactoring techniques after structural evidence is known, especially when multiple candidate transformations, preconditions, or ordering choices must be compared.
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。
Full-funnel paid advertising operations for B2B SaaS. Use this skill for PPC strategy, Google Ads optimization, LinkedIn Ads, social media advertising, programmatic buying, creative strategy, attribution modeling, budget allocation, budget pacing and planned-vs-delivered reconciliation, audience overlap and campaign self-competition audits, suppression lists, ROAS improvement, media spend optimization, and the media no auction sells — newsletter and podcast sponsorships, community and industry-publication placements, paid review-site listings on G2 and Capterra, and pay-per-lead content syndication. It also covers buying on the AI answer surface — ads inside Google AI Overviews and AI Mode that existing Search, Shopping and Performance Max campaigns already serve into with no opt-out, no placement targeting and no segmented reporting, and ChatGPT Ads and Microsoft Copilot as separate opt-in platforms with their own plan-tier reach limits, no negative keywords, and a landing-page crawler gate. It also owns the conversion signal the bidding algorithms learn from — CRM pipeline stages (SQL, opportunity, closed-won) sent back to Google Ads, LinkedIn, Meta and Microsoft Ads through offline conversion import, enhanced conversions for leads, the Google Data Manager API and the LinkedIn Conversions API, with click-ID capture, stage values, dedupe, EEA consent signals and retractions. It also gates connected TV (CTV) and streaming video for B2B — whether a reach medium belongs in the plan, how a vendor ties a TV household to a target account (member data, IP-to-account graph or contextual), the server-side ad insertion (SSAI) fraud questions, Programmatic Guaranteed deals, and a holdout lift test because CTV has no click. It also runs person-led paid social — LinkedIn Thought Leader Ads and Meta partnership ads that put spend behind an employee's or creator's post — on a paid-usage term, an in-post disclosure check and an end-date register, because the platform approval carries no term. Also triggers on: CTV, connected TV, OTT, streaming TV ads, should we run CTV, LinkedIn CTV, B2B CTV, account-based CTV, SSAI fraud, thought leader ads, boost an employee's post, sponsor a creator's post, partnership ads, whitelisting, creator usage rights, PPC, Google Ads, LinkedIn Ads, social ads, programmatic, ad creative, attribution, media budget, paid campaigns, ROAS, CPA, ad spend, newsletter sponsorship, podcast sponsorship, community sponsorship, sponsor a newsletter, content syndication, pay-per-lead, cost per lead vendor, media kit, rate card, insertion order, direct buy, publisher partnership, make-good, G2 paid listing, Capterra ads, review site advertising, sponsorship ROI, budget pacing, we underspent our budget, are our campaigns competing with each other, audience overlap, self-competition, campaign cannibalization, suppression list, exclusion list, ad frequency across channels, how many ad accounts do we have, ads in AI Overviews, AI Mode ads, ChatGPT Ads, OpenAI Ads Manager, Copilot ads, conversational ads, should we advertise on ChatGPT, can we buy our way into the AI answer, our ads are showing in AI Overviews and we cannot report on it, context hints, OAI-AdsBot, our ad landing page fails review, robots.txt is blocking our ads, our paid leads are junk, Google Ads is optimizing for the wrong leads, offline conversion import, OCI, enhanced conversions for leads, send CRM stages back to Google Ads, upload SQLs to LinkedIn, LinkedIn Conversions API, LinkedIn CAPI, Meta conversion leads, CRM to ad platform, gclid, li_fat_id, msclkid, value-based bidding, optimize for pipeline not form fills, low match rate, conversion lag.
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Use when a task needs the judgment of an Energy Auditor — running a blower-door/duct-leakage diagnostic sequence on a home or light-commercial building, testing combustion appliances for worst-case backdraft risk before recommending air sealing, reconciling utility billing history against walkthrough findings, ranking retrofit measures by savings-to-investment ratio (SIR) for a weatherization or utility rebate program, or writing the prioritized scope of work an install crew executes without the auditor on site. Distinct from an energy-engineer (industrial/commercial capital planning, IPMVP measurement and verification, calibrated simulation) — this role owns the field diagnostics and the residential/light-commercial audit-to-scope handoff.
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Use when a task needs the judgment of an executive administrative assistant — triaging a stacked calendar against competing priorities, deciding what reaches an executive versus what gets redirected, reconciling a multi-city travel itinerary or expense report, drafting on an executive's behalf within a delegated-authority boundary, or handling a scheduling conflict across time zones.
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 a task needs the judgment of a Driver/Sales Worker on a direct-store-delivery (DSD) route — negotiating a shelf-facing or planogram change with a store manager, resizing a standing order after a shelf or demand change, deciding whether to pull code-dated product before a stale credit hits, reconciling a route's revenue-per-stop against cost-per-stop, or deciding whether to fight for shelf space back from a competitor.
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 a task needs the judgment of a Data Entry Keyer — resolving an illegible or ambiguous source-document field before keying it, running key-verification (double-key) reconciliation on a batch, deciding whether a production-speed quota is compromising accuracy, or sampling a completed batch for a quality-control audit.
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Use when a task needs the judgment of a Data Warehousing Specialist — defining the grain of a fact table before modeling it, choosing a slowly changing dimension (SCD) type for a dimension attribute, designing an incremental ETL/ELT load strategy against a full-refresh alternative, resolving a conformed-dimension conflict across source systems, or diagnosing why a BI report's numbers don't reconcile to the source system.
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Use when a task needs the judgment of a crop, nursery, or greenhouse farmworker — judging harvest timing/ripeness by crop, reconciling piece-rate earnings against the minimum-wage or AEWR floor, deciding whether it's safe to re-enter a pesticide-treated field or greenhouse, managing heat-illness risk during peak-season labor, or running greenhouse IPM scouting and climate setpoint checks.
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 a task needs the judgment of a Document Management Specialist — designing or auditing a records retention schedule, planning a content migration between DMS platforms (SharePoint, OpenText, Documentum, M-Files), reconciling migrated vs. source document counts, resolving a version-control or legal-hold conflict, or scoping a defensible-disposal (ROT) cleanup.
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 a task needs the judgment of a Door-to-Door Sales Worker — planning a canvassing route or street-vending spot, diagnosing a rep's or vendor's underperformance from doors/contacts/sits/close ratios, navigating solicitation-permit or curfew or cooling-off compliance, structuring a doorstep pitch and objection handling, or reconciling a shift's cash and inventory.
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Use when a task needs the judgment of a detective/criminal investigator — developing and stress-testing a case theory against alternate explanations, reconciling conflicting timestamps (DVR, cell tower, witness-reported) into a defensible timeline, structuring a suspect/witness interview using a non-accusatorial method, drafting a probable-cause affidavit, or evaluating whether a confession or eyewitness identification is being treated with the right level of certainty.
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Use when a task needs the judgment of a demographer — building a cohort-component population projection, reconciling fertility/mortality rate estimates against ACS or vital-statistics counts, judging whether a population trend is real or sampling/measurement noise, sizing a census undercount adjustment, or advising a public agency on age-structure-driven facility or service demand.
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Use when a task needs the judgment of a Cost Estimator — building a conceptual (Class 5) budget from a napkin sketch, developing a hard-bid estimate from complete construction documents, leveling subcontractor bids before award, making a bid/no-bid call on an RFP, or reconciling a design-development estimate against an owner's target budget.
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Use when a task needs the judgment of a Budget Analyst — reviewing a department's budget request or decision package for a new program, building or reconciling a budget-to-actual variance report, phasing costs for a new facility or position against its real start date, or advising on reserve/fund-balance adequacy ahead of a budget cycle.
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Use when a task needs the judgment of a Cargo Inspector — reconciling a vessel draft survey against a shore tally within IMO tolerance, calculating outturn quantity from tank ullage and temperature readings under API MPMS, verifying dangerous-goods segregation against the IMDG Code, checking a load's height and width against a route's bridge and tunnel clearances before departure, or documenting cargo condition and filing a letter of protest before custody transfers.
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Use when a task needs the judgment of a Chemical Plant and System Operator — reconciling a batch's mass balance to catch a leak or unaccounted reaction that individually normal readings would miss, responding to an early exotherm temperature trend before it accelerates, prioritizing simultaneous alarms by consequence severity rather than order of occurrence, or flagging a combination of near-limit variables that no single-variable check would catch.
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。