'program' 검색 결과

Core programming concepts from variables through recursion. Covers data types (integers, floats, strings, booleans, arrays, objects), variables and scope (lexical, dynamic, block, function, global), control flow (conditionals, loops, pattern matching), functions (parameters, return values, closures, higher-order functions), recursion (base cases, call stack, tail recursion, mutual recursion), type systems (static vs dynamic, strong vs weak, type inference, generics), and error handling (exceptions, Result types, defensive programming). Use when teaching, reviewing, or diagnosing issues with fundamental programming constructs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Commission a project to the Programme SDLC bundle. Tailored entry point with Programme-specific audience guidance; equivalent to /sdlc-core:commission --option programme.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design affiliate and referral programs with commission structures and partner materials. TRIGGERS - Use when user wants to create an affiliate program, referral system, or partner program.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Live affiliate program data from openaffiliate.dev. Search programs, compare commissions, check cookie days, find top performers. Use when researching affiliate programs, comparing options, or checking program details. Persistent daemon with cache — first call starts server (~2s), subsequent calls ~100ms.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Drafts board-ready Anti-Money Laundering compliance programs for U.S. financial institutions under BSA/FinCEN requirements. Covers CIP, CDD, EDD, SAR/CTR reporting, OFAC screening, risk assessment, training, independent testing, and governance structures. Use when creating or updating AML policies, BSA compliance programs, or financial institution regulatory documentation. Trigger keywords: AML, BSA, FinCEN, Bank Secrecy Act, anti-money laundering, SAR, CTR, OFAC, CIP, CDD, KYC, compliance program.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Cooperative vibe coding across machines — real-time collaborative development with humans and AI agents. Covers current tools (Live Share, Code With Me, Zed, Cursor multiplayer, tmux), git-based async patterns, AI agent coordination, and the aspirational future of multi-human multi-agent development. Activate on: "pair programming", "vibe coding together", "collaborative coding", "mob programming", "remote pairing", "code together", "multiplayer coding", "Live Share", "Code With Me", "ensemble programming", "cooperative development". NOT for: building a real-time collaboration ENGINE (use real-time-collaboration-engine), git workflow mechanics (use git-best-practices), single-user AI coding assistance (use prompt-engineer).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Construa sistemas de IA complexos com programação declarativa, otimize prompts automaticamente, crie sistemas RAG modulares e agentes com DSPy - framework de Programação Sistemática de Modelos de Linguagem da Stanford NLP

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Knowledge base from the GAO Agile Assessment Guide (GAO-24-105506, 2023). Use for assessing and managing Agile software development in federal programs: the Agile Manifesto and framework family (Scrum, Kanban, XP, SAFe, DA, DSDM, Lean, DevOps); the three adoption perspectives (team dynamics, program operations, organization environment); requirements decomposition (epics, features, user stories, INVEST, MoSCoW, definition of done); Agile-aware federal contracting (FAR, modular contracting, SOO/PWS/SOW, product owner vs. COR); program monitoring and control (WBS, cost, schedule, EVM at the feature level); Agile metrics (velocity, lead/cycle time, CFD, burn charts); and the auditor's key-question bank. Oversight- and acquisition-oriented: it tells you how to *assess and govern* Agile programs, not how to code. Thin on hands-on engineering practice, deep cost/schedule checklists (see gao-cost, gao-schedule), and any non-US-federal context.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Algorithms specialist v2 — Big-O, dynamic programming, graphs, sorting, competitive programming

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

End-to-end ABM program design and orchestration for B2B SaaS mid-market and enterprise motions. Use when building a target account list, designing account tiering criteria, planning ABM channel orchestration, coordinating BDR outreach with marketing campaigns, defining ABM measurement frameworks, or running an ABM program review. Also use when asked to "build an ABM program," "set up account-based marketing," "design a target account strategy," "plan ABM campaigns," or "measure ABM results." Designed for demand gen teams selling to Mid-Market companies with $10K-$50K+ ACV, multi-persona buying committees, and 3-6 month sales cycles.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design affiliate and referral programs with commission structures and partner materials. TRIGGERS - Use when user wants to create an affiliate program, referral system, or partner program.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referral,' 'affiliate,' 'ambassador,' 'word of mouth,' 'viral loop,' 'refer a friend,' 'partner program,' 'referral incentive,' 'how to get referrals,' 'customers referring customers,' or 'affiliate payout.' Use this whenever someone wants existing users or partners to bring in new customers. For launch-specific virality, see launch-strategy.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Cooperative vibe coding across machines — real-time collaborative development with humans and AI agents. Covers current tools (Live Share, Code With Me, Zed, Cursor multiplayer, tmux), git-based async patterns, AI agent coordination, and the aspirational future of multi-human multi-agent development. Activate on: "pair programming", "vibe coding together", "collaborative coding", "mob programming", "remote pairing", "code together", "multiplayer coding", "Live Share", "Code With Me", "ensemble programming", "cooperative development". NOT for: building a real-time collaboration ENGINE (use real-time-collaboration-engine), git workflow mechanics (use git-best-practices), single-user AI coding assistance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Plan A/B tests to compare page changes using clear hypotheses and meaningful measures. The skill helps define sample size, duration, traffic allocation, and result interpretation, and organize a continuing program of prioritized experiments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare headlines or signup buttons
• Estimate test sample size and duration
• Interpret results and possible adverse effects

Plan and improve customer or fan communities with platform recommendations, launch plans, welcome journeys, recurring activities, and ambassador programs. The skill also reviews participation metrics to identify where members disengage and suggest practical priorities for community managers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a community launch from scratch
• Improve welcome journeys for new members
• Design recurring events and discussion threads

Guides contributors through adding a new programming language to Airflow, covering SDK structure, runtime coordination, communication rules, executable packaging, tests, and the documentation and configuration changes needed for a pull request.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding support for a new programming language
• Choosing how Airflow launches a language runtime
• Implementing communication and executable bundles

Analyze Windows Prefetch files, which record application execution data, using Python. Reconstruct execution timelines, review run counts and accessed resources, and identify suspicious programs or signs that an executable has been renamed to disguise its identity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reconstructing a program execution timeline
• Investigating potentially renamed executables
• Reviewing suspicious tools and execution frequency

Analyze Windows Amcache records to investigate applications, deleted executable traces, and drivers. Extract file details, compare SHA-1 hashes with malware databases, and combine records into a timeline to support incident investigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating traces of deleted executables
• Checking software installed during an incident
• Comparing file hashes with malware databases

Evaluate code generation models with HumanEval, MBPP, and other benchmarks. Test generated programs, compare models across programming languages, and record pass@k scores, which estimate the chance that at least one of k solutions passes the tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing code generation models on shared benchmarks
• Measuring correctness across programming languages
• Evaluating models trained to follow instructions

Plan R&D budgets with direct and indirect costs, track spending and how long funds will last, and check whether milestones remain affordable. Prepare accounting review routes for development costs, with explicit assumptions and a named finance owner.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an R&D budget with an explicit indirect-cost split
• Check whether remaining funds cover the next milestone
• Prepare development costs for accounting review

Review readiness across multiple compliance frameworks using six focused questions. Identify overlapping evidence, missing owners, audit scheduling conflicts, and mock audit findings, then produce a readiness verdict with three actions, owners, and deadlines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing readiness before adopting a compliance framework
• Planning the annual audit calendar
• Consolidating evidence across multiple frameworks

Coordinate role-based agents to design, implement, integrate, and test a game combat feature. The workflow covers gameplay rules, enemy behavior, visual effects, and audio planning, with a final report on completion, test results, and unresolved issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design and implement a parry mechanic
• Coordinate enemy reactions, effects, and audio events
• Review combat architecture for the configured engine

Plan AI-assisted SEO, from keyword research and competitor comparison pages to content production using data and templates. It also guides content changes for AI search citations, tool selection, quality checks, and ongoing performance tracking.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning competitor alternative and comparison pages
• Designing page production using data and templates
• Reviewing content for citations in AI Overviews