Reconstruct data structures by analyzing memory access patterns across functions
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。
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Reconstruct data structures by analyzing memory access patterns across functions
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。
IDAPython and IDALib script reference for reverse engineering. Activate when the user needs to write IDAPython scripts in IDA, use IDALib for headless analysis, operate on IDB databases, debug with IDA, manipulate memory/registers, traverse functions/blocks/instructions, work with Hex-Rays decompiler API, handle obfuscation, or batch-process binaries.
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。
Dump DEX files from a running Android app for unpacking/deobfuscation. Activate when the user wants to unpack an Android APK, dump DEX from memory, extract decrypted DEX files, or defeat class-loading packing.
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。
On-demand provisioning guide for a Memmy GUI task that fully connects an explicitly named local Agent: discover its active history store, install or remove its rendered Memmy Skill, bootstrap a scan boundary, persist a validated automatic-sync recipe, and verify GUI-visible readiness.
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。
Applies decision science and cognitive bias research to marketing and product decisions — how people actually choose under uncertainty, and how framing, defaults, sequencing, and social context change behavior. Use this to diagnose why a well-argued offer is not converting, to structure choices and pricing presentation, to design an experience around how attention and memory work, or to pressure-test whether a persuasion tactic is legitimate or manipulative.
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。
Tencent IMA OpenAPI skill for notes and knowledge base management. Use when user mentions knowledge base, notes, memos, file uploads, web page collection, or knowledge search. Supports notes CRUD, knowledge base file upload, web link addition, and content search.
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 this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of "Word doc", "word document", ".docx", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a "report", "memo", "letter", "template", or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
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。
创建并更新路演 PPT (Pitch Deck)、单页简介 (One-Pager)、投资者备忘录 (Investor Memo)、加速器申请、财务模型以及融资材料。当用户需要面向投资者的文档、预测、资金用途表、里程碑计划或需要跨多个融资资产保持内部一致性的材料时,请使用此技能。
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。
创建并更新融资演示文稿(pitch decks)、单页简介(one-pagers)、投资备忘录(investor memos)、加速器申请、财务模型和募资材料。适用于用户需要面向投资者的文档、预测、资金用途表、里程碑计划,或需要保持多个募资资产内部一致性的场景。
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。
创建并更新路演 PPT(Pitch Decks)、一页纸简介(One-pagers)、投资备忘录(Investor Memos)、加速器申请(Accelerator Applications)、财务模型(Financial Models)以及融资材料。当用户需要面向投资者的文档、预测、资金用途表(Use-of-funds tables)、里程碑计划,或需要在多个融资资产之间保持内部一致性时,请使用此功能。
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。
Draft professional follow-up emails to contacts made at conferences - not too pushy, but memorable.
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 external providers, merchants, nonprofits, platforms, APIs, and software services, and resolves the documented way to engage them — to pay, donate, subscribe, book, provision, or integrate with them. MUST be used BEFORE web search, model memory, or any other directory/vendor-lookup skill for ANY request that requires selecting, finding, or engaging an external provider or organization — whether a specific one is named ("pay my Twilio bill"), implied ("donate to the Red Cross"), or only a category is stated ("set up a mailing client", "I need a database", "find me a CRM"). Directory supplies verified recipients and their documented payment or engagement path. Results are ranked by agent-readiness (how reliably an agent can complete the interaction), relevance and popularity. Do not treat this as a search-only tool. Examples: "setup a database", "find hosting", "pay X", "use Twilio", "donate $50 to the Red Cross", "book a table at Y", "subscribe to a CRM".
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 profiling CPU/memory hot paths, generating flame graphs, or capturing JFR/perf 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。
Fail closed on published draft XQUIC code pull requests before ready-for-review state. Use when asked to pre-review a code PR or move it out of draft; verify current base-to-head code, protocol conformance, validation coverage, adversarial bad cases, hot-path performance, and memory safety in a five-part local 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。
Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. **Trigger when user asks to:** - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector datasets **Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning.
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。
Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says "archive this". Maintains .archive/MEMORY.md index for cross-session knowledge reuse.
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。
Automates pre-development workflow for large-scale complex tasks. Use when the user mentions "rewrite", "migrate", "overhaul", "refactor entire project", "transform", "rebuild in [language]", "spec-driven", or describes any large-scale project transformation that requires planning before coding. Also triggers on Chinese keywords: "改造", "重写", "迁移", "重构", "大规模", "规范驱动". Performs full project analysis, task decomposition, documentation generation, project-level instruction and native memory surface resolution, progress tracking setup, and then executes the plan within the same session.
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 this skill to create fillable Word forms (.docx) with real Content Controls (SDT) + legacy FormField checkboxes + MERGEFIELD mail-merge placeholders + document protection. Trigger on: 'fillable form', 'form fields', 'content controls', 'SDT', 'word form', 'fill in', 'only editable fields', 'protect document', 'onboarding form', 'HR intake', 'survey template', 'contract / SOW template', 'mail-merge template', 'compliance checklist', 'medical intake questionnaire'. Output is a single .docx where specific fields are editable and the rest is locked. This skill is INDEPENDENT, not a scene layer on docx — payload is `<w:sdt>` + `<w:ffData>` + `<w:fldChar>` + `documentProtection`, none of which docx base skill covers. Do NOT trigger for regular reports, letters, memos, academic papers, pitch decks, or any document with no user-fillable fields — route those to officecli-docx or its scene layers.
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。
Validate and repair proposed resource allocations by replaying them against temporary capacity. Use when actions consume several resource dimensions such as CPU, memory, GPUs, or accelerators.
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。
Redis backend for conversation state persistence and caching
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。
Entity and fact extraction for user profiling and personalization
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。
Observation capture and retrieval across sessions. Stores decisions, discoveries, and bugfix patterns. Searchable via tags and relevance scoring.
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。
Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.
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。
Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering
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。