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Muvon/octomind-tap

SkillsMP a collecté 117 skills depuis Muvon/octomind-tap. Ouvrez un skill pour examiner sa source et ses détails.

Dernière activité source enregistrée
Catalogue SkillsMP mis à jour
skills collectés
117
Étoiles GitHub
4
Forks GitHub
0

Affichage de 40 skills collectés sur 117.

métier
non classé
description

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…

Langue du texte source : anglais

mis à jour
métier
non classé
description

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…

Langue du texte source : anglais

mis à jour
métier
non classé
description

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…

Langue du texte source : anglais

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métier
non classé
description

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…

Langue du texte source : anglais

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métier
non classé
description

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…

Langue du texte source : anglais

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métier
non classé
description

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,…

Langue du texte source : anglais

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métier
non classé
description

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…

Langue du texte source : anglais

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métier
non classé
description

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…

Langue du texte source : anglais

mis à jour
métier
non classé
description

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,…

Langue du texte source : anglais

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métier
non classé
description

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…

Langue du texte source : anglais

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métier
non classé
description

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),…

Langue du texte source : anglais

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métier
non classé
description

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…

Langue du texte source : anglais

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métier
non classé
description

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),…

Langue du texte source : anglais

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métier
non classé
description

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…

Langue du texte source : anglais

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métier
non classé
description

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…

Langue du texte source : anglais

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métier
non classé
description

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…

Langue du texte source : anglais

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métier
non classé
description

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,…

Langue du texte source : anglais

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métier
non classé
description

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…

Langue du texte source : anglais

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métier
non classé
description

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.…

Langue du texte source : anglais

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métier
non classé
description

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…

Langue du texte source : anglais

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métier
non classé
description

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.

Langue du texte source : anglais

mis à jour
métier
non classé
description

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.

Langue du texte source : anglais

mis à jour
métier
non classé
description

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.

Langue du texte source : anglais

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métier
non classé
description

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.

Langue du texte source : anglais

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métier
non classé
description

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.

Langue du texte source : anglais

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métier
non classé
description

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.

Langue du texte source : Plusieurs langues

mis à jour
métier
non classé
description

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.

Langue du texte source : anglais

mis à jour
métier
non classé
description

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.

Langue du texte source : anglais

mis à jour
métier
non classé
description

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.

Langue du texte source : anglais

mis à jour
métier
non classé
description

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,…

Langue du texte source : anglais

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métier
non classé
description

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.

Langue du texte source : anglais

mis à jour
métier
non classé
description

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.

Langue du texte source : anglais

mis à jour
métier
non classé
description

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…

Langue du texte source : anglais

mis à jour
métier
non classé
description

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…

Langue du texte source : anglais

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métier
non classé
description

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,…

Langue du texte source : anglais

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métier
non classé
description

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,…

Langue du texte source : anglais

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métier
non classé
description

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.…

Langue du texte source : anglais

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métier
non classé
description

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),…

Langue du texte source : anglais

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métier
non classé
description

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.…

Langue du texte source : anglais

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métier
non classé
description

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]],…

Langue du texte source : anglais

mis à jour
Affichage de 40 skills collectés sur 117.