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概要と使いどころ
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
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 before any creative or constructive work (features, components, architecture, behavior changes, or functionality). This skill transforms vague ideas into validated designs through disciplined, incremental reasoning and collaboration.
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 before creative or constructive work (features, architecture, behavior). Transforms vague ideas into validated designs through disciplined reasoning and collaboration.
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。
Clarify requirements before implementing. Use when serious doubts arise.
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。
Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.
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。
Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as "Claude Code with Claude Sonnet 4.5". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.
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。
AUTHORIZED USE ONLY: This skill contains dual-use security techniques. Before proceeding with any bypass or analysis: > 1.
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。
Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
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。
bu skill covers implementing automated security scanning for Infrastructure as Code (IaC) templates using tools like Checkov, tfsec, and KICS. It addresses Tespit etme misconfigurations in Terraform, CloudFormation, Kubernetes manifests, and Helm charts before Dağıt:ment, establishing policy-based governance, and integrating IaC scanning into CI/CD pipelines to prevent insecure cloud resource provisioning.
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。
Integrate gitleaks and trufflehog into CI/CD pipelines to tespit etmeleaked secrets before Dağıt:ment
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。
Auditing Terraform infrastructure-as-code for security misconfigurations using Checkov, tfsec, Terrascan, and OPA/Rego policies to tespit etmeoverly permissive IAM policies, public resource exposure, missing encryption, and insecure defaults before cloud Dağıt:ment.
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 static and symbolic analysis of Solidity smart contracts using Slither and Mythril to tespit etmereentrancy, integer overflow, access control, and other vulnerability classes before Dağıt:ment to Ethereum mainnet.
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。
Implements security controls at the API gateway layer including authentication enforcement, rate limiting, request validation, IP allowlisting, TLS termination, and threat protection. The engineer configures API gateways (Kong, AWS API Gateway, Azure APIM, Apigee) to act as a centralized security enforcement point that validates, throttles, and monitors all API traffic before it reaches backend services. Activates for requests involving API gateway security, API management security, gateway a...
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。
Provides reverse engineering techniques for CTF challenges. Use when the main job is to understand how a compiled, obfuscated, packed, or virtualized target works before exploiting or solving it, including binaries, APKs, WASM, firmware, custom VMs, bytecode, game clients, malwar
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。
tespit etme (s) prompt injection attacks targeting LLM-based applications using a multi-layered defense combining regex pattern matching for known attack signatures, heuristic scoring for structural anomalies, and transformer-based classification with DeBERTa models. The tespit etme (or) analyzes user inputs before they reach the LLM, flagging direct injections (system prompt overrides, role-play escapes, instruction hijacking) and indirect injections (encoded payloads, multi-language obfuscation, delimiter-...
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。
4-phase root cause debugging: understand bugs before fixing.
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。
Throwaway experiments to validate an idea before build.
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。
TDD: enforce RED-GREEN-REFACTOR, tests before code.
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。
Guide authors through a structured self-review before requesting peer 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。
Reproduce ai-repo PR checks locally with Poe and CI scripts, including per-package typecheck and coverage behavior. Use when validating changes before push or when user asks which local commands match CI.
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。
Ask clarifying questions before implementing to ensure Python requirements are understood. Use when a task lacks detail, dependencies are unclear, or multiple interpretations are possible.
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 before finishing a change, or when asked to clean up, review for slop, drift, stale docs, or duplicated rules — runs the deterministic unslop lint and, for prose-level slop, delegates to the unslop-reviewer agent.
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 starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback
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。
Investigate model specifications, requirements, and evaluation strategy. Use when researching a model before benchmarking: reading HuggingFace model cards, estimating VRAM requirements, selecting GPU providers, and determining evaluation approach. Triggers on "model research", "investigate model", "model info", "VRAM estimate", "which provider", "model card".
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。