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概要と使いどころ
Manage citations and references — collecting sources, organizing libraries, formatting bibliographies, and keeping reference integrity. Use when writing anything that cites sources.
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 clipboard history management: multi-item history, pinning, transformations, and search. Use when you copy-paste constantly and the single-slot clipboard keeps losing things.
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。
NLP on clinical text — de-identification, concept extraction, phenotyping from notes, and LLM safety guardrails.
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。
Ship iOS/Android apps with Capacitor: web codebase, native plugins, live updates, and store builds. Use when wrapping a web app as native mobile apps.
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。
Perform business analysis — requirements gathering, process mapping, gap analysis, and stakeholder-ready documentation.
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。
Clones a STATIC IMAGE ad into finished ads for your own product, into a reusable prompt TEMPLATE, or both — the template is what makes the ads and the ads are what prove the template. Round-trips the frame through gpt-image-2, nano-banana-pro or reve-2.1 until it reproduces, replaces every brand-specific with a {placeholder}, then fills it with your product pinned to a real photo. Use for "clone this ad for my product", "rebuild this competitor's ad for us", "make me ads like this", "reverse engineer this ad", "make this ad reusable", "add this to my prompt library", or "clone my competitors' ads" with NO file attached — it sources one via spy-competitor-ads rather than asking which. **Among cloners the source's medium decides**: a still, or nothing attached, lands here; "clone this ad" plus a VIDEO is clone-video-ad. NOT for generating an ad from a brief (chatgpt-image-ad, nano-banana-image-ad), nor animating a still as-is (image-to-motion). Refuses to render your product without a real photo of 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。
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".
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。
Visual design verification loop for matching a goal PNG to a live render. Use when the user shares a design mock / goal image and asks to match the UI to it, asks to "iterate on this design" or "match this 1:1", or calls out visual drift in a previous UI iteration. Provides histogram color sampling, shape inspection (radius/border/shadow/bg-mode/fill-vs-context), computed-style checking on the live render, snap, and side-by-side diff. After every UI change the assistant MUST snap the live render and Read the snap with the Read tool before reporting the change done — skipping that is the
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。
Study unfamiliar codebases and produce evidence-backed knowledge artifacts. Use for repository orientation, architecture mapping, subsystem tracing, onboarding, or codebase documentation.
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。
Validates detection coverage by mapping Atomic Red Team tests to ATT&CK techniques, checking which of your detections cover each tested technique, and reporting coverage gaps. Activates for requests to validate detections with atomic tests, map Atomic Red Team to coverage, or find detection gaps against tested techniques.
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。
Identifies and unpacks packed binaries: detecting packers from section names and entropy, automatically unpacking UPX, and manually unpacking custom packers by finding the OEP and dumping. Activates for requests to unpack a packed sample, detect a packer, or recover the original binary from UPX or a custom packer.
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。
Structures a clear, actionable malware analysis report covering summary, sample identity, capabilities, IOCs, ATT&CK mapping, and detection guidance for both technical and decision-making audiences. Activates for requests to write, structure, or review a malware analysis or reverse-engineering report.
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。
Extracts indicators of compromise from raw analysis artifacts: parsing strings dumps, sandbox reports, PCAP summaries, and logs for URLs, domains, IPs, hashes, mutexes, and file paths, then deduplicating and typing them. Activates for requests to extract IOCs from analysis output, pull indicators from a report, or harvest atomic indicators.
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。
Uses capa to identify malware capabilities from a binary: running rule-based detection over disassembly, mapping matched capabilities to MITRE ATT&CK and MBC, and interpreting results to focus deeper analysis. Activates for requests to run capa, generate a capability report, or map a sample's behaviors to ATT&CK automatically.
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。
Maps hunts and detections to MITRE ATT&CK for coverage analysis: tagging hypotheses with techniques, building a coverage matrix from completed hunts, and identifying high-risk gaps to prioritize next. Activates for requests to map hunts to ATT&CK, build a coverage heatmap, or find detection gaps by technique.
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。
Operationalizes a threat intelligence report into hunts: extracting IOCs and TTPs, mapping behaviors to ATT&CK and available telemetry, prioritizing durable behavioral indicators over volatile atomic ones, and producing concrete hunt queries. Activates for requests to hunt from a threat report, operationalize CTI, or turn an intel report into detections.
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。
Analyzes infostealer samples by mapping the browser, credential store, wallet, and application paths they target, and the exfiltration channel used, from static strings and behavior. Activates for requests to analyze an infostealer, identify targeted credential stores, or map stealer collection and exfiltration 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。
Recovers obfuscated strings and resolves dynamically loaded APIs in malware: reversing XOR/stack-string/encoding schemes and mapping API-hash lookups back to function names. Activates for requests to deobfuscate strings, decode stack strings, or resolve API hashing in a binary.
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 Windows Authenticode signatures on PE files: checking for a signature, reading the signer certificate chain, detecting revoked/expired/stolen certs, and recognizing signature-stripping and catalog-signing abuse. Activates for requests to analyze a code signature, verify Authenticode, or assess signer trust on a PE.
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 a PE file's import and export tables to infer capability: mapping imported APIs to behaviors (networking, crypto, injection, persistence), spotting dynamic-resolution stubs, and reading exports of malicious DLLs. Activates for requests to analyze PE imports, inspect the IAT/exports, or infer capability from API usage.
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 banking trojan webinject configurations to extract targeted institutions, injected JavaScript/HTML, and data-theft hooks, mapping the fraud workflow. Activates for requests to analyze banking trojan webinjects, parse a webinject config, or map targeted banks and credential-theft injections.
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 a structured discovery session to build an Allium specification through conversation. Use when the user wants to create a new spec from scratch, elicit or gather requirements, capture domain behaviour, specify a feature or system, define what a system should do, or is describing functionality and needs help shaping it into a specification.
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。
Create content draft from ideas using the Shipping Bible
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。