「document」の検索結果

Tests APIs for mass assignment (auto-binding) vulnerabilities where clients can modify object properties they should not have Erişim: by including additional parameters in API requests. The tester identifies writable endpoints, adds undocumented fields to request bodies (role, isAdmin, price, balance), and checks if the server binds these to the data model without filtering. Part of OWASP API3:2023 Broken Object Property Level Authorization. Activates for requests involving mass assignment ...

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Implements AWS Nitro Enclave-based confidential computing environments with cryptographic attestation, KMS policy integration using PCR-based condition keys, and secure vsock communication channels. The practitioner builds enclave images, configures attestation-aware KMS policies, validates attestation documents against the AWS Nitro PKI root of trust, and establishes isolated computation pipelines for processing sensitive data such as PII, cryptographic keys, and healthcare records. Activate...

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。

Extract text from PDFs/scans (pymupdf, marker-pdf).

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。

Contract risk analysis, obligation mapping, and clause review. Use when the user asks to review, analyze, or check a contract or legal document.

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。

Write focused, deterministic, well-documented pytest tests for AI-authored code.

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Use for the infrastructure implementation phase after the backend follows the model — turning documents/infra-design decisions into infra/ (local container stack, production IaC), wiring cradle.json infra.up / infra.containers, adding IaC validate and image build steps to CI, and, once E2E passes, applying production once in a sandbox and recording it in the deployment table. Not for designing infrastructure (infra-design).

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Use to create, update or verify the Lean 4 executable specification under lean/ from the exploration documents (event-timeline, hotspots, ubiquitous-language, ux-review, model-review) — initial generation, reflecting a session's results, fixing lake build, adding a command or a screen, checking a proposed feature against the model. Formalization questions go to model-review.md as MQ, never to the expert directly.

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Use to start a new product on Cradle or to add the Cradle skeleton to an existing repository — writes cradle.json, the project-facts instruction (.apm/instructions/project.instructions.md), documents/{ddd,ai-notes,infra-design,codebase} templates, CI, and a compiling Lean executable-spec scaffold with a minimal example domain, mockup and CLI.

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Use for the infrastructure design phase between domain exploration and Lean formalization — deriving non-functional requirements from the Lean model, deciding environments (test/local/prod), identity provider, the relational database's product, version and configuration (the storage kind is fixed to relational), ID representation, and the list of things NOT to build. Produces documents/infra-design with INFRA-D/A/Q entries.

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Use when adding or changing REST endpoints or the OpenAPI contract — deriving endpoints from the Lean commands and views, writing documents/codebase/openapi.yaml first, then regenerating the backend controller interfaces and the frontend client.

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Markdown で提案書・報告書・議事録などのビジネスドキュメントを構造的に作成するスキル。対象読者に応じた表現で、そのまま使える品質を目指す。

Create, edit, or debug parametric 3D CAD parts in CadQuery (Python) that export to STEP for SolidWorks. Use when the request involves CadQuery, .step/.stl export, or modelling a physical part — enclosure, bracket, PCB, motor mount, cam, gear. Also use when a STEP will not open in CAD, or geometry looks correct in STL but is invalid as a solid. Applies a verification discipline before export and documented OCC pitfalls.

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Reference and learning guide for the Model Context Protocol (MCP). Use when implementing clients/servers or debugging connection issues. For server listings, see mcp-server-registry.

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Updates the llms.txt file to reflect changes in documentation. Use when editing repository details or specifications. For creating from scratch, see create-llms.

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Manages project versioning following Semantic Versioning (SemVer) principles. Calculates increments based on changes and synchronizes version across documentation and metadata. Use when the user asks to "bump the version", "prepare a release", or when the `changelog` skill calls for a release.

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Music-video production skill for turning an existing MP3 into a pure-visual (no-voiceover) music video through a bundled Busabase App-in-Skill UI. Use when the user wants to build an MV from a song they upload: write a one-line concept, keep a cast of characters with reference cards, and break the song into storyboard shots where each shot has a scene description and an image + video that can be either AI-generated (image-to-image from the character cards, draft video via local LTX) or uploaded by the user. Same character/storyboard management model as kelly-drama. Song generation (creating the song itself, incl. voice-cloned singing) is a documented future capability.

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Lesson-plan generation and compliance-check desk (Busabase App-in-Skill) for a dean of studies or training-program lead. Use when the user invokes $kelly-lesson or /kelly-lesson, mentions lesson plan, 备课, 教案, teaching plan compliance, curriculum template, dean of studies, teacher training, wants lesson plans drafted from curriculum materials and the school template, teacher drafts imported and checked against quality standards, a review queue for approving plans, or a library of approved plans exported as documents.

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Build and operate a WeChat editorial content library in Busabase. Use when a team wants reusable source material, linked article drafts, an editorial kanban board, a publishing calendar, or a source-check and review queue. Keeps source documents and article scheduling in two linked Bases; does not publish to WeChat or approve an agent's own proposals.

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Legal casebase App-in-Skill (Busabase-backed) intake and anonymization QA desk for law-firm judgment and award documents. Use when the user invokes $kelly-legal-casebase-ingest, mentions internal case database, 智能案例库, 裁判文书入库, 脱敏, 结构化, 分类标注, 案例审核, 质量验收, or wants a Busabase-backed desk where reviewers approve, revise, or block agent-prepared case records before they become searchable knowledge assets.

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Busabase-backed App-in-Skill idea desk that works like a business consultant — it interrogates a product or business idea until it is sharp, then carries it through professional, visual BRD, MRD, and PRD documents. Use when the user invokes $kelly-ideas or /kelly-ideas, wants to capture or shape a product/business idea, asks for a BRD/MRD/PRD, says they have a product idea but cannot describe it clearly, or wants an idea shaped into a spec that $kelly-app-skill-creator can build into a real app.

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

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Extract balance sheet, income statement, shares outstanding, organic growth, and GAAP reconciliation data from financial PDFs. Standardize via Tiger-Transformer and append structured output to the document markdown.

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Produces and audits externally published marketing copy where factual claims must survive scrutiny — landing pages, product pages, launch emails, one-pagers, search/social metadata. Every statistic, competitor comparison, capability description, and proof point is traced to a fetched source or the project's own documents, labeled, and adversarially verified before it ships. Use when writing or rewriting high-stakes marketing copy; when copy must pass legal, compliance, brand, or claims review; when the audience is skeptical technical or executive buyers; when the company has little or no customer proof yet (pre-launch, zero customers); or when auditing existing copy for unsupported claims, invented capabilities, unverified statistics, or AI-slop language.

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Drive the AgentWiki knowledge platform via its CLI (`@aiagentwiki/cli`, command `agentwiki`) and MCP server (`https://api.agentwiki.cc/mcp`). Use this skill whenever the user mentions AgentWiki, agentwiki.cc, app.agentwiki.cc, the `agentwiki` CLI, the `@aiagentwiki/cli` npm package, the AgentWiki MCP server, or asks to create/list/search/share/publish documents, manage folders or tags, upload files or images, deploy static sites, traverse a knowledge graph, or query their AgentWiki workspace from the terminal or as an AI agent. Triggers include phrases like "agentwiki login", "aw_… API key", "create a doc on agentwiki", "search my wiki", "publish to agentwiki", "agentwiki MCP", or any task that would otherwise require opening app.agentwiki.cc manually.

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。