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Muvon/octomind-tap

SkillsMP는 Muvon/octomind-tap에서 117개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.

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수집된 skills
117
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4
GitHub 포크
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수집된 skill 117개 중 40개를 표시합니다.

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Specifies what to produce for a Microsoft Advertising (Bing) creative: Responsive Search Ads (RSA with Microsoft-only long headlines), Multimedia Ads, Audience Ads (Outlook.com, MSN, Microsoft Start, Edge News), Performance Max, Shopping, Lodging/Travel…

원문 언어: 영어

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Compact playbook of ad copy frameworks (AIDA, PAS, problem-agitation-solution, before-after-bridge, 4Us, FAB) and when to apply each, including a decision guide that matches framework to audience awareness level (Schwartz). Use when structuring the body of an…

원문 언어: 영어

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Specifies what to produce for a Google Ads creative: Search RSA, Performance Max, and Display, with the exact slots (headlines, descriptions, paths, long headline, long description), character limits, pinning rules, asset ratios, and policy constraints so…

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Specifies what to produce for a LinkedIn ad: Sponsored Content (single image, video, carousel, document), Message Ads, and Text Ads, with the exact slots (intro text, headline, description), character limits, asset ratios, the CTA enum per format, and the…

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Specifies what to produce for a Meta ad: Facebook Feed, Instagram Feed, Stories, Reels, and the CTA enum, with the exact slots (primary text, headline, description, CTA button), character limits, asset ratios (1:1, 4:5, 9:16), policy filters, and the…

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Specifies what to produce for a Reddit ad: Promoted Posts (image, video, link, text), Free-form Ads (the rich-content 2023+ flagship), Carousel Ads, Conversation Placement Ads, Promoted User Posts (boost an existing organic), Product Catalog Ads, and AMA Ads,…

원문 언어: 영어

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Specifies what to produce for a TikTok ad: In-Feed Ads, Spark Ads, TopView, Branded Effect, and Branded Mission, with the exact slots (caption, display name, CTA), character limits, the 9:16 vertical asset spec, sound-on requirements, the safe-zone map that…

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Specifies what to produce for an X (Twitter) ad: Promoted Posts, Website Cards, App Cards, and Video Ads, with the exact slots (post text, card title, CTA enum), character limits (280 post, 70 card title), asset ratios, and the native-feel rules that decide…

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Specifies what to produce for a YouTube ad: Skippable In-Stream (TrueView), Non-Skippable, Bumper, In-Feed (Discovery), Masthead, and YouTube Shorts, with the exact slots (headline, description, companion banner, CTA), duration limits, asset ratios (16:9,…

원문 언어: 영어

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Operational playbook for designing production LLM agents in 2026. Covers agent loop patterns (ReAct, Reflexion, Plan-and-Execute, function calling, Anthropic tool use), tool schema engineering (JSON Schema, strict mode, description craft, anti-patterns), the…

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Operational playbook for cutting LLM application cost in 2026. Covers provider pricing (Anthropic Claude Opus/Sonnet/Haiku, OpenAI GPT-4o/o-series, Google Gemini Pro/Flash), Anthropic prompt caching (90% discount on cached tokens, up to 85% latency cut),…

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Operational playbook for designing production LLM evaluation in 2026. Covers eval framework selection (Promptfoo, DeepEval, Maxim, LangSmith, Braintrust, Phoenix, Galileo, Patronus), golden dataset construction (size, stratification, versioning), synthetic…

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Operational playbook for defending LLM applications against prompt injection (direct + indirect), and red-teaming them in 2026. Covers OWASP Top 10 for LLM Applications v2025 (LLM01-LLM10), OWASP Top 10 for Agentic Applications 2026 (ASI01-ASI10),…

원문 언어: 영어

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Turn raw data into a decision-ready report a human actually reads: structured by the Minto Pyramid (answer first), every number traced to the data, the right chart for each question, and delivered as a self-contained HTML document that opens in any browser…

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How modern applicant tracking systems rank resumes in 2026 and how to tailor a resume per job posting so it clears them: keyword strategy grounded in the candidate's real experience, job-title placement, coverage targets, parser-safe formatting, and the…

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Operational playbook for executing backlink submissions via a headless browser: driving directory/listing/Web2.0 forms with Playwright, mapping a single site profile to per-target fields, handling signup + email verification + captchas, throttling to avoid…

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Operational playbook for recurring social-account hygiene executed via a headless browser: profile/bio sync across networks, cross-posting a pre-written piece to N platforms, scheduled-post audits, follower/connection cleanup, notification triage,…

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The universal coaching method any coach agent runs: GROW, ICF active listening, open non-leading questions, goal-setting with WOOP and if-then plans, and accountability design. Activate when coaching someone toward a goal, running a 1:1, or designing…

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The dimensions of a deep code review: correctness, security, concurrency, performance, design/maintainability, and tests; what each lens hunts for; and the adversarial verification discipline that keeps a multi-reviewer pass from multiplying false positives.…

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Read-only audit harness for content quality: detects the content type (X post / X thread / LinkedIn / Threads / Bluesky / Mastodon / Hacker News / Reddit post, or blog / article), routes to the matching social-* skill plus the cross-cutting…

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Per-language calibration anchors for detecting AI-slop and translationese in Arabic (ar) target text; auto-loads alongside content-locale-humanize when the target language is Arabic.

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Per-language calibration anchors for detecting AI-slop and translationese in German (de) target text; auto-loads alongside content-locale-humanize when the target language is German.

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Per-language calibration anchors for detecting AI-slop and translationese in Spanish (es) target text; auto-loads alongside content-locale-humanize when the target language is Spanish.

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Per-language calibration anchors for detecting AI-slop and translationese in French (fr) target text; auto-loads alongside content-locale-humanize when the target language is French.

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Per-language calibration anchors for detecting AI-slop and translationese in Hindi (hi) target text; auto-loads alongside content-locale-humanize when the target language is Hindi.

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Per-language calibration anchors for detecting AI-slop and translationese in Italian (it) target text; auto-loads alongside content-locale-humanize when the target language is Italian.

원문 언어: 다국어 혼합

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Per-language calibration anchors for detecting AI-slop and translationese in Japanese (ja) target text; auto-loads alongside content-locale-humanize when the target language is Japanese.

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Per-language calibration anchors for detecting AI-slop and translationese in Korean (ko) target text; auto-loads alongside content-locale-humanize when the target language is Korean.

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Per-language calibration anchors for detecting AI-slop and translationese in Portuguese (pt) target text; auto-loads alongside content-locale-humanize when the target language is Portuguese.

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MQM-informed, structural-pattern diagnostic for making translated/localized content read as if a native speaker wrote it from scratch, in any target language. Detects translationese and AI-slop by pattern (interference, frequency outliers, rhythm,…

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Per-language calibration anchors for detecting AI-slop and translationese in Thai (th) target text; auto-loads alongside content-locale-humanize when the target language is Thai.

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Per-language calibration anchors for detecting AI-slop and translationese in Chinese (zh) target text; auto-loads alongside content-locale-humanize when the target language is Chinese.

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Write a cover letter that a hiring manager actually reads: grounded in the candidate's real experience, tailored to the specific posting and company, structured for a hiring-manager skim, and free of the generic AI-template phrasing that gets letters…

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Operate the local computer's native UI (macOS, Linux, or Windows) via the desktop-automation MCP server. Covers OS accessibility and screen-recording permissions, pixel-anchor targeting (no semantic UI tree), region-capture discipline under the MCP response…

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Operate iOS and Android devices (real hardware, simulators, and emulators) via the mobile-mcp server. Covers device discovery and selection, app install, launch, and terminate, accessibility-tree targeting, taps, swipes, typing, and device-button presses,…

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Resolve reported issues (bug reports, feature requests) the way a project maintainer would: understand the reported behavior, find the upstream resolution when one exists, survey the full surface the change belongs to, implement in the project's own pattern,…

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The small set of evidence-based study techniques that actually work: retrieval practice, spacing, interleaving, the Feynman technique, and worked examples, plus the popular habits (rereading, highlighting, cramming, learning styles) that only feel productive.…

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Production playbook for building modern lightweight landing pages that sell. Covers automatic dark/light theming via CSS custom properties, system-font Apple-style typography, opinionated section anatomy (hero, features, comparison, pricing, FAQ, footer CTA),…

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Reference for driving the octomind binary: the run, server, acp, config, tap, vars, send, workflow, and completion commands and their flags, the 25 interactive slash commands, provider API-key environment variables, .env precedence, and OCTOMIND_* overrides.…

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Field-by-field reference for octomind's config.toml: root settings, performance and spending limits, [capabilities] and [taps] overrides, [[roles]] and [roles.mcp], [mcp] servers (builtin, http, stdio), [[hooks]], [[layers]], [[commands]], [[agents]],…

원문 언어: 영어

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수집된 skill 117개 중 40개를 표시합니다.