「loop」の検索結果

When the user wants to plan, brief, source, or measure organic creator / influencer / UGC marketing for their app — including TikTok creators, Instagram Reels, YouTube Shorts, micro-influencers, paid creator briefs, UGC ad creative for Meta/TikTok, affiliate programs, and seeding strategy. Use when the user mentions "creators", "influencers", "TikTok marketing", "UGC", "user-generated content", "creator briefs", "creator outreach", "influencer marketing", "Reels", "Shorts", "creator gifting", "seeding", "affiliate", "Whop", "TikTok Spark Ads", "Instagram collab posts", or "I want my app to go viral on TikTok". For paid social ad campaigns (Meta/TikTok ad accounts), see ua-campaign. For PR / press, see press-and-pr. For viral in-app loops, see referral-program.

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。

Build safe, local, defensive reproductions of ALREADY-PATCHED, publicly disclosed security vulnerabilities (CVEs, vendor advisories, AI-agent incidents) for whitepapers, control testing, and education. Use this skill whenever the user wants to reproduce, demonstrate, or write up a known vulnerability or security incident — phrases like "reproduce this CVE", "build a repro for", "demonstrate the EchoLeak/Cursor/postmark-mcp issue", "show how this exploit worked", "add a reproducibility guide", or "pull the NVD/CVE details for". It fetches advisory metadata from NVD and CVE.org, confirms the issue is fixed, and produces a vulnerable-vs-patched harness that is offline, loopback-only, and uses synthetic markers. It NEVER discovers, develops, or weaponizes new zero-days and refuses any unpatched or live-target request.

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。

Runs the loop from discovering a weakness to confirming it is fixed — scanning, triage, prioritization by real exploitability, remediation tracking, and patch policy. Use this to stand up or fix a vulnerability program, triage scanner output, decide what to fix first, set patch SLAs, handle a disclosure from an outside researcher, or report posture to leadership.

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。

Designs and runs hiring — role definition, sourcing, interview loop design, structured evaluation, and the decision itself. Use this to open a role, write a job description or scorecard, design an interview process, prepare interview questions, calibrate a hiring decision, or diagnose why a hiring process produces poor outcomes.

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。

Owns the customer's experience after the sale — support, success, escalation, and the feedback loop back into product. Use this for a decision spanning support and product, when service quality and cost are in tension, when deciding what to staff or automate, when a customer relationship is at risk above the account-manager level, or when nobody owns a recurring customer problem.

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。

The clip lives or dies on the action loop. Write every link from run-up to landing in order, name the physics you want by part, and spend the negative list on flying, hovering and teleporting. Use when the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Sports and extreme stunts; 中文触发词: 体育与极限运动, 体育, 极限运动, 跑酷, 滑板), or asks how published cases of this type were prompted. Read references/cases.md before drafting.

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。

Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /architect, 'architect this', 'design this', or non-trivial work where jumping to code would lock in the wrong shape.

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。

Apply when designing commands, lifecycle steps, or processing loops that run amid crashes, restarts, and retries. Converge to the same end state regardless of partial prior runs.

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。

Design an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions. Use for /figure-it-out or 'figure it out'.

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。

为 Claude Code 会话提供的全面验证系统。

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。

Claude Code 会话的全面验证系统。

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。

Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.

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。

Claude Code 会话的全方位验证系统。

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。

自主运行 Claude Code 循环的模式与架构 —— 从简单的顺序流水线到 RFC 驱动的多智能体 DAG 系统。

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。

Design evidence-discovery and validation workflows for drug repurposing studies by integrating disease mechanisms, drug-target logic, expression reversal, real-world evidence, and validation routes into a closed-loop study blueprint.

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 evaluating macro dislocations, reflexive feedback loops, policy shifts, positioning squeezes, and asymmetric bets in a George Soros style.

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 build workflow for adding new syscall descriptions to syzkaller

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。

Transform sequential Python code into parallel/concurrent implementations. Use when asked to parallelize Python code, improve code performance through concurrency, convert loops to parallel execution, or identify parallelization opportunities. Handles CPU-bound (multiprocessing), I/O-bound (asyncio, threading), and data-parallel (vectorization) scenarios.

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 when implementing the outer control loop for a quadrotor — position PID control (position/velocity error → thrust and desired acceleration) and trajectory planning from flight-plan waypoints (takeoff, hover, fly, land segments → smooth 15-row state matrix).

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 when implementing the inner control loop for a quadrotor — attitude (roll/pitch/yaw) PID control and attitude planning (converting desired acceleration to desired Euler angles). Covers gain layout, integral reset pattern, and the attitude planner inverse kinematics.

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。

Reference for the GRPO (Group Relative Policy Optimization) algorithm. Use when implementing, debugging, or verifying a GRPO training pipeline — covers the mathematical formulation (group-relative advantages, clipped surrogate loss, KL penalty), the training loop (generate → score → advantage → loss), log-probability computation, advantage estimation, and relationship to PPO/REINFORCE.

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 when implementing PID control loops for adaptive cruise control, vehicle speed regulation, throttle/brake management, or any feedback control system requiring proportional-integral-derivative control.

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。

Train GPT-2 scale models (~124M parameters) efficiently on a single GPU. Covers GPT-124M architecture, tokenized dataset loading (e.g., HuggingFace Hub shards), modern optimizers (Muon, AdamW), mixed precision training, and training loop 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。

Identify and verify loop invariants for correctness proofs

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。