Inspect a codebase, a stack the user describes, or a description of what they want to build; map what is there to agents-inc catalog skills — or intent to candidate built-in stacks the user picks from — and emit a SeedPayload plus a human-readable proposal report. Use when seeding a configuration for a project that has none.
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。
agents-inc/skills☆ 242026年9月8日 更新
Analyze a reference video and reverse-engineer its style into a reusable Seedance 2.0 prompting template for the Novoads API. The output is a new formula file — like seedance-2-ugc.md — that captures the video's structure, pacing, camera work, edit style and tone so it can be recreated with any product, any person, in any setting. Use this whenever someone provides a video they want to use as a style reference, says "I want to make videos like this", "deconstruct this video", "turn this into a template", "analyze this style", or drops a video file and wants to recreate that format repeatedly.
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。
novoads/agent-skills☆ 232026年10月8日 更新
Pivots on indicators of compromise across multiple data sources by correlating a seed set of IOCs against logs to find co-occurring indicators, hosts, and timeframes that expand the investigation. Activates for requests to pivot on IOCs, correlate indicators across data sources, or expand an investigation from a seed indicator set.
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。
meltedinhex/analyst-ai-pack☆ 222026年7月7日 更新
Product marketing and go-to-market strategy for B2B SaaS launches and positioning. Use this skill when planning a product launch, developing positioning and messaging, analyzing competitive landscape, building customer advocacy programs, designing a customer referral program (who may accept the reward, how the introduction is made), designing a win/loss interview program, working out why we lose deals, designing GTM strategy, creating category positioning, planning analyst briefings, or deciding which country to expand into and how far to localize. Also use it for an early-stage startup where the founder is still doing the selling — running founder-led sales, setting up a design-partner program, judging whether you have product-market fit, deciding what not to do yet, deciding when to hire the first AE or first marketer, and moving upmarket to larger buyers. Also use it when your company has just acquired another (or is about to), to plan the marketing integration: what you may and may not do between signing and close, the first letter to the acquired customers, whether to keep, endorse, fold in or retire the acquired brand, merging the two marketing databases without mailing people who opted out, when to start cross-selling, and announcing a product sunset. Also use it to design a demand-generation campaign and the channel plan it runs on: one campaign with one job, the offer for buyers who are and are not in market, what each channel is for, the kill and scale rules set before launch, the follow-up sales agrees to, the yearly calendar of always-on programs and tentpole campaigns, and which channels to keep, test or stop. Also use it for brand marketing and demand creation — how much to spend on brand versus performance, what to measure when a brand campaign produces no conversion event, and how to answer "we cannot attribute it". Also triggers on: founder-led sales, founder-led GTM, design partners, design partner agreement, first customers, first 10 customers, do we have product-market fit, PMF, Sean Ellis test, very disappointed survey, pre-seed, seed stage, when to hire our first AE, first sales hire, first marketing hire, moving upmarket, going upmarket, enterprise readiness, first enterprise deal, what do enterprise buyers need before they sign, positioning, product launch, beta program, early access program, design partners, private preview, public preview, general availability, GA launch, when can we call it GA, can sales sell a beta feature, selling the roadmap, launch tier, competitive intelligence, messaging, customer advocacy, win/loss analysis, win/loss interviews, why we lose deals, closed-lost analysis, loss reason, close-reason field, competitive displacement, displace an incumbent, rip and replace, competitive takeout, switch from a competitor, win deals from a competitor, incumbent contract, renewal window, auto-renewal notice period, switching costs, EU Data Act, cloud switching rights, why do we lose to no decision, GTM, category design, ideal customer profile, ICP, what is our real ICP, who actually buys from us, refresh our ICP from closed-won deals, ICP refresh before planning, analyst briefing, G2 review, international expansion, market entry, expand into Europe, which country should we launch in next, localization, translate our site, in-country go-to-market, regional GTM, is cold email legal in Germany, brand marketing, brand awareness, brand vs performance, brand versus demand gen, demand creation, demand capture, 95-5 rule, out of market buyers, category entry points, distinctive brand assets, mental availability, brand tracking, brand health, brand lift, share of search, how do we measure brand, justify brand spend, brand budget. Also triggers on public-sector marketing: sell to government, government marketing, public sector go-to-market, federal marketing, state and local government, SLED, FedRAMP, FedRAMP marketing claims, can we say FedRAMP ready, GovRAMP, StateRAMP, VPAT, accessibility confor
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。
shalintripathi/saas-marketing-agents☆ 212026年10月13日 更新
Use when a task needs the judgment of an Agricultural Technician — designing a soil, tissue, or seed sampling plan, interpreting pest scouting counts against an economic threshold, calibrating spray/seeding equipment, or troubleshooting a field data discrepancy before it reaches the agronomist or scientist who acts on it.
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。
wonsukchoi/domain-experts☆ 212026年10月12日 更新
為使用者產生高品質的 AI 生圖、生影片、生音樂提示詞,並在需要時透過瀏覽器自動化實際送到目標平台。涵蓋 OiiOii、Kling 3.0/O-series、Seedance 2.0/2.5、Suno v5.5、Seedream 5.0/4.0、Vidu Q3、Midjourney V8.1、Flux 1.1 Pro / Kontext、Runway Gen-4.5 / Aleph、Google Veo 3.1、Ideogram 3、Nano Banana Pro、Stable Diffusion 3.5(⚠️ OpenAI Sora 2 已於 2026-04-26 停運,API 撐到 2026-09-24,預設改推 Runway/Veo/Kling)。只要使用者提到「AI 生圖」「AI 影片」「AI 音樂」「做 MV」「做 storyboard」「寫 prompt 給 XXX」「我想用 Kling/Suno/Midjourney/Runway/Veo...」「幫我操作 OiiOii / 即夢 / 可靈」「txt2img / img2video / 文生圖 / 文生影片 / 圖生影片」「角色一致性」「多鏡頭分鏡」「運鏡」「結果有瑕疵 / 不夠精緻 / 怎麼修」,或任何跟上述平台或影像/影片/音樂生成工作流相關的任務,都要用這個 skill。即使他們沒講明平台,只要任務是要餵給某個生成模型的 prompt,就用這個 skill 幫他們選對的平台、寫對的格式。
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。
gabrielmoreira/agent-skills-mirror☆ 192026年10月13日 更新
Router for the 101 SfSkills `data` skill packages. Data model, data movement and data quality: migrations, bulk loads, query optimisation, deduplicating at volume, archival. Ordinary-volume duplicate cleanup and prevention use salesforce-admin; come here for hundreds-of-thousands+ dedup or third-party tools. LDV architecture uses salesforce-architect. Use when the request mentions data model, data migration, data load, Data Loader, Bulk API, external id, deduplication at volume, archival, SOSL, cross-object search, sandbox seed data, SandboxPostCopy, native Data Seeding. Finds and opens the exact skill package to read; it does not contain the guidance itself.
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。
PranavNagrecha/AwesomeSalesforceSkills☆ 192026年10月4日 更新
Use a single seed-script owner OID variable when bootstrap data must satisfy owner-aware logic on fresh databases.
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。
jguadagno/jjgnet-broadcast☆ 182026年8月4日 更新
Debian + Proxmox VE OS自動セットアップ。BMC VirtualMedia経由でpreseedインストール、PVEインストールまでを実行する。
miminashi/pvese☆ 182026年7月6日 更新
Universal seed data generator: MIGRATE from ORM schemas or GENERATE from entity definitions to any target format
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。
tensology/decisionsai☆ 172026年10月13日 更新
AI-powered Reddit seeding agent for founders. Analyzes a product spec, maps relevant subreddits, finds real threads where target users need help, drafts personalized replies and DMs, and posts approved outreach via Reddit API. Use when someone wants to find and engage their first users on Reddit, seed a product launch, or do community-led growth without a budget.
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。
modbender/skill-library-mcp☆ 162026年9月28日 更新
Auto-activate for polyfactory, ModelFactory, DataclassFactory, MsgspecFactory, AttrsFactory, Use, register_fixture, pytest plugin, __random_seed__, or coverage(). Not for production seeding.
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。
litestar-org/litestar-skills☆ 162026年10月4日 更新
塔罗牌占星:把「抽三张塔罗牌」与「西方占星本命盘」合为一次解读。 用户带着一个具体问题来 → 抽三张牌(可复现的 seed)→ 若愿意提供生日,则用脚本 确定性地排出星座与星盘 → 用黄金黎明的塔罗↔占星对应把两者接起来(牌落在黄道哪一旬, 你的哪颗行星正站在那里)→ 给出一张交叉对照表、对所问之事的审慎取向与可执行建议。 塔罗层:牌阵位置语义、牌与牌的组合叙事、元素尊贵、正逆位、直觉对话、治疗性解读。 占星层:本命盘、相位与宫位、必然尊贵、行运盘推运、比较盘/组合盘(合盘)、太阳弧推运。 当用户说:塔罗、塔罗牌、抽牌、抽三张牌、占卜、算一卦(西洋)、牌阵、正逆位、 星盘、本命盘、星座、上升星座、月亮星座、占星、行运、流年、合盘、比较盘、 太阳弧、推运、我该不该……、这段关系会怎样、我适不适合换工作 时使用。 English triggers: "tarot", "tarot reading", "draw three cards", "what do the cards say", "spread", "reversed card", "natal chart", "birth chart", "astrology", "rising sign", "transits", "synastry", "composite chart", "solar arc", "progressions", "should I take this job", "what does my chart say". 内置离线脚本:抽牌洗牌(可复现 seed)、本命盘(行星/四轴/宫位/相位/元素统计)、 必然尊贵、牌↔盘共鸣、元素数字统计、行运盘、比较盘+组合盘、太阳弧+次限推运。 边界:要**周公解梦**请用 `zhougong-dream-interpretation`;要**四柱八字**请用 `bazi`; 要**中式黄历择日/测吉凶**请用 `zhanshi-jixiong`。本技能只做西洋塔罗与西洋占星。 即使用户只是随口说「帮我抽张牌看看」「我最近水逆吗」,也应主动使用本技能。
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。
tf1993614/Know-your-fate☆ 162026年7月15日 更新
Content-addressed baseline-archive epoch partitioning. Partition baseline_archive.jsonl + the self-improving hub's baseline serving by a HASH of the full baseline-production+measurement spec — when the spec (margin_rule, fitness/margin logic version, the 4 roles' model+source, rubric/dim-set, bench, seed-pool identity) changes, the hash changes → a new epoch series (like seed-gen gen-*). Triggered by "baseline epoch", "baseline 아카이빙", "epoch partition", "spec hash", "content-addressed", "margin_rule namespace", "production logic 구분", "baseline 하위 서빙" keywords.
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。
mangowhoiscloud/geode☆ 152026年10月13日 更新
Identify direct miRNA-target interactions from AGO HITS-CLIP, AGO-CLEAR-CLIP (chimeric reads), HEAP (Halo-Ago2 mouse), chimeric eCLIP / miR-eCLIP (deep miRNA-target profiling), or CLASH using chimeric-read processing pipelines, seed-pairing analysis, and 3' auxiliary pairing rules. Use when distinguishing direct miRNA targets from indirect, integrating CLIP-derived target maps with TargetScan / miRDB / DIANA predictions, applying canonical 7mer-8mer seed matching with 3' UTR context, or recovering miRNA-mRNA chimeras at scale.
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。
lilinji/GeneTind-Life-Skills☆ 142026年8月21日 更新
Resolve the architecture of focal oncogene amplifications — extrachromosomal DNA (ecDNA), breakage-fusion-bridge (BFB) cycles, homogeneously staining regions (HSR), and linear amplification — from whole-genome sequencing with AmpliconArchitect, the AmpliconSuite pipeline, and AmpliconClassifier. Covers copy-number seed selection, breakpoint-graph reconstruction, balanced-flow optimization, ecDNA classification, and the limits of depth-only amplification calls. Use when a focal amplification needs structural characterization, when distinguishing ecDNA from chromosomal amplification, suspecting ecDNA-driven oncogene amplification or therapy resistance, or selecting copy-number seeds for amplicon reconstruction.
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。
lilinji/GeneTind-Life-Skills☆ 142026年8月21日 更新
Seed or import data into the Convex database.
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。
waynesutton/agent-ready-component☆ 92026年8月28日 更新
Seed or import data into the Convex database.
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。
get-convex/components-submissions-directory☆ 92026年10月13日 更新
Generate AI videos with Google Veo, Seedance, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 1.5 Pro, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, lipsync, avatar animation, video upscaling, fole...
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。
JantonioFC/skillsbank☆ 92026年8月4日 更新
Generate AI images with FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscalin...
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。
JantonioFC/skillsbank☆ 92026年8月4日 更新
Create a look-alike audience from a seed audience and a candidate population dataset. Classifies Rosetta Stone attributes, generates the same materialized-view scoring pipeline Lookalike Studio emits (Naive-Bayes categorical weights + Gaussian continuous similarity), gates on approval, submits via `narrative_workflows_create`, and monitors the build to completion. Use when: "create a lookalike audience", "find more users like this segment", "expand my seed audience to 500k similar users", "score the population against my customers", "build a look-alike of dataset X". (narrative-audience)
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。
narrative-io/narrative-skills-marketplace☆ 92026年10月13日 更新
Author a completed-spec fixture — a seeded intent graph plus a believable four-phase interview transcript — for a brunch feature, so it can feed any downstream tooling that consumes a completed spec or dogfood the UI. Use when you need a real completed specification in .brunch/brunch.db for testing or demo: pick a feature from memory/SPEC.md (or a free description), choose a stress profile (coverage|clean), and produce a registered scenario seed + an interview-questions doc that match exactly.
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。
hashintel/brunch☆ 82026年10月13日 更新
Erstellt oder überarbeitet einen Skill FÜR DIESES ÖKOSYSTEM: delegiert die generische Interview-/Entwurfs-/Eval-Schleife an das offizielle skill-creator-Plugin (Anthropic, Apache-2.0), setzt aber zusätzlich die ellmos-Anforderungen durch, die das offizielle Plugin nicht kennt — Haus-Frontmatter (9 Felder), Kategorie/Sichtbarkeits-Regeln, anbieter-/nutzer-/ellmos-neutrale aber ellmos-sensitive Erkennung via grounding-seed, mitgelieferte config.json (inkl. Lernvertrag) + connections.json, Anbieter-/Vendor-Bewusstsein (State-of-the-Art-Alternativen inkl. eigener ellmos-Komponenten vorschlagen), einen Selbstaktualisierungs-Abschnitt UND einen wiederverwendbaren Lern-/Abdeckungs-Dateisatz (user-usecases.json, usecase-gaps.json, known-providers-and-abilities.json, gap-closing-analysis.json — an skill-creators evals.json und A2A/AgentSkill angelehnt, kein Parallelstandard). IMMER nutzen, wenn ein NEUER Skill für dieses System entstehen oder ein bestehender auf ellmos-Konformität nachgerüstet werden soll — auch bei "erstelle einen Skill", "bau mir einen Skill für X", "skill-creator nutzen", "neuen Skill anlegen", "diesen Skill ellmos-konform machen", "Lernvertrag/Verhaltenscodex für einen Skill anlegen", "Usecase-Abdeckung eines Skills prüfen". Für reines Skill-FINDEN/ROUTEN stattdessen skill-finder, für Landschafts-Audit skill-explorer.
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。
ellmos-ai/skills☆ 82026年10月12日 更新
Designs and reviews the three lifecycle events of a WordPress plugin — activation (one-shot setup, dbDelta, add_option seeding, cron schedule, cap seeding), deactivation (reversible cleanup, cron clear via wp_unschedule_hook, never delete user data), and uninstall.php (standalone file, WP_UNINSTALL_PLUGIN guard, no autoloader, full data removal). Multisite-aware patterns using the $network_wide / $network_deactivating callback args, plus the recommendation against register_uninstall_hook in favor of uninstall.php. Use when scaffolding a plugin or debugging ghost cron events / orphan options. Triggers on register_activation_hook, register_deactivation_hook, uninstall.php, WP_UNINSTALL_PLUGIN, dbDelta, wp_unschedule_hook, switch_to_blog.
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。
nvdigitalsolutions/mcp-ai-wpoos☆ 72026年10月14日 更新