「sequences」の検索結果

Automated outreach and sales pipeline — cold email sequences, partnership outreach, lead generation, and prospect management. Use when the user needs cold email campaigns, sales sequences, lead generation, partnership outreach, B2B sales, or says 'cold email', 'outreach', 'lead gen', 'find prospects', 'sales sequence', or 'partnerships'.

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。

Versatile JavaScript animation engine for DOM, CSS, SVG, and JavaScript objects. Use when creating timeline-based animations, stagger effects, SVG morphing, keyframe sequences, or complex choreographed animations. Triggers on tasks involving Anime.js, timeline animations, staggered sequences, SVG path animations, morphing, or multi-step animation choreography. Alternative to GSAP for SVG-heavy animations and React-independent projects.

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 and write email campaigns and sequences including onboarding flows, lifecycle campaigns, transactional emails, newsletters, broadcast sends, and launch and announcement emails. Use this skill whenever the user wants to write email copy, plan an email sequence, design an onboarding drip, or set up lifecycle email campaigns. Triggers on email sequence, drip campaign, onboarding email, lifecycle email, welcome email, transactional email, newsletter, email broadcast, launch email, announcement email, nurture sequence, abandoned cart, re-engagement, win-back. Also triggers when planning email automation flows or writing email subject lines for campaigns.

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。

Write and optimize B2B cold email outreach sequences that get replies, covering personalization, follow-up cadence, deliverability, and compliance. Use when writing cold outreach, prospecting/SDR emails, or building outbound sequences.

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 a wise systems intervention from an existing analysis. Maps proposed actions against Meadows' leverage points, checks for unintended consequences, and generates alternatives.

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。

Accretion/dilution and merger consequences analysis for A-share M&A transactions. Adapted from the original merger-model skill for Chinese GAAP, CAS accounting, and China market transaction structures. Triggers on "A股并购分析", "并购模型", "accretion dilution China", "merger model A-share", or "M&A consequences [company]".

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。

Write B2B cold emails and follow-up sequences that get replies. Use when the user wants to write cold outreach emails, prospecting emails, cold email campaigns, sales development emails, or SDR emails. Covers subject lines, opening lines, body copy, CTAs, personalization, and multi-touch follow-up sequences.

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。

Memory efficient string containers, string matching algorithms, and other utilities, for fast manipulation of large biological sequences or sets of sequences.

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。

Adds Smartlead-compatible spintax to cold email sequences for deliverability. Use this skill whenever the user asks to add spintax, spin text, add variations, or improve deliverability of email copy — especially when they mention Smartlead, cold email sequences, or paste HTML email content. Also trigger when the user says "spintax", "spin", "variations", "deliverability spintax", or references adding randomized alternatives to email copy. Works with both plain text and HTML input.

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。

Guides users through professional filmmaking workflows in Higgsfield Cinema Studio, including creating multi-shot sequences, configuring optical stacks, applying color grading, managing Soul Cast AI actors, and structuring per-scene prompts with Director Panel camera movements. Use when the user mentions Cinema Studio, Cinema Studio 2.5, Cinema Studio 3.0, Cinema Studio 3.5, Cinema Studio 4.0 (`cinematic_studio_video_4_0` — its four modes, camera/lens/aperture/era/genre/pacing ids, light presets, color palette), Soul Cast, color grading, multi-shot video, shot sequences, storyboard workflow, Hero Frame, optical stack, keyframe interpolation, Elements system (@Characters/@Locations/@Props), Speed Ramp, Director Panel, Higgsfield Popcorn, Single Shot / Multi-Shot Auto / Multi-Shot Manual modes, Reference Anchor, Smart shot control, or any professional filmmaking workflow inside Higgsfield.

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。

Create email drip campaigns, nurture sequences, and automated email flows. Includes templates for welcome series, abandoned cart, re-engagement, product launch, and onboarding sequences. Trigger phrases: "email sequence", "drip campaign", "nurture sequence", "email flow", "welcome series", "abandoned cart emails", "onboarding emails", "email automation", "product launch emails", "re-engagement campaign", "send email", "send sequence".

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。

Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof. Creates multi-touch campaigns optimized for response rates. Use when users need outbound email campaigns, sales sequences, or lead generation emails.

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。

Kinetic typography, logo animations, and stylized motion design skill. **Triggers when:** - User wants text animations or kinetic typography - Request involves logo reveals or title sequences - Content focuses on visual impact over education - User mentions "title", "intro", "logo", "text animation", "kinetic" **Capabilities:** - Kinetic typography with dynamic text effects - Logo reveals and brand animations - Particle effects and visual flourishes - Modern motion design patterns - Attention-grabbing title sequences

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。

Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof. Creates multi-touch campaigns optimized for response rates. Use when users need outbound email campaigns, sales sequences, or lead generation emails.

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 multi-touch outbound email sequences with personalized messaging, timing cadences, and conversion-aware copy for prospecting or re-engagement. Use when the user needs a coordinated sales campaign across several touches; use email-drafting for a single message or reply.

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。

Kit (formerly ConvertKit) API integration with managed OAuth. Manage email subscribers, forms, tags, sequences, broadcasts, and custom fields. Use this skill when users want to manage their email marketing lists, create or update subscribers, manage tags, or work with email sequences and broadcasts. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).

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。

Generate sales outreach sequences, proposals, SOWs, investor pitch decks, and RFP responses. Covers cold email sequences, proposal structure, pricing tiers (Good-Better-Best), scope of work with exclusions, and 10-slide pitch deck.

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。

Comprehensive outbound email strategy skill for cold outreach, email sequences, and multi-channel campaigns. Use when writing cold emails, creating outreach sequences, optimizing response rates, designing follow-up cadences, or building outbound campaigns. Covers prospecting, personalization frameworks, sequence design, subject lines, response handling, compliance, email design, HTML email templates, email layout, email marketing, newsletter design, drip campaigns, email subject lines, email headers, and cold email templates for discovery calls and SDR workflows.

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 a wise systems intervention from an existing analysis. Maps proposed actions against Meadows' leverage points, checks for unintended consequences, and generates alternatives.

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。

Conjecture generation, sequence analysis, and experimental mathematics for mathematical discovery. Covers sequence analysis (OEIS lookups, recurrence relations, generating functions), pattern detection methods (finite differences, ratio analysis, modular patterns), conjecture generation workflow, classical integer sequences (Fibonacci, Catalan, partition numbers, Bernoulli numbers), combinatorial identities, the probabilistic method (Erdos, expected value arguments, Lovasz Local Lemma), AI-assisted discovery (FunSearch, Ramanujan Machine), and confidence calibration with cautionary tales (Mertens conjecture, Polya conjecture). Use when discovering patterns, analyzing sequences, generating conjectures, or working with combinatorial identities.

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。

Generates email sequences for different contexts. Currently supports event follow-up sequences. Produces ready-to-send emails with subject lines, body copy, and timing guidance.

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。

Fit hidden Markov models using the Baum-Welch (EM) algorithm with model selection, Viterbi decoding for state sequences, and forward-backward probabilities. Use when observations are generated by unobservable latent states, you need to segment a time series into latent regimes (market regimes, speech phonemes, biological sequences), compute sequence probabilities, decode the most likely hidden state path, or compare models with different numbers of hidden states.

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。

Retrieve protein sequences, annotation, and structures from UniProtKB, the RCSB PDB, and AlphaFold DB. Use this skill to resolve a gene or protein name to a UniProt accession, pull sequences and FASTA files, find binding sites and domains, search the PDB by UniProt accession, sequence, ligand, or text, download mmCIF/PDB coordinates and biological assemblies, fetch AlphaFold models with their pLDDT confidence, and check whether a structure is actually usable before docking or simulating it. Also trigger on UniProt accessions, PDB ids, rest.uniprot.org, search.rcsb.org, files.rcsb.org, alphafold.ebi.ac.uk, id mapping, SEQRES, or missing residues.

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。

Protein language models through the EvolutionaryScale `esm` Python SDK. Generate and embed sequences with ESM3 (multimodal sequence, structure and function prompting), extract per-residue and mean-pooled embeddings with ESM C, fold sequences with ESMFold2, and run inference locally or against the Forge and Biohub hosted clients. Use this skill for protein representation learning, variant effect and mutational scanning from likelihoods, sequence generation and inpainting, structure prediction from sequence alone, and embedding features for downstream models. Also trigger on esm, ESM3, ESMC, ESM Cambrian, ESMFold2, `from esm.models`, ESMProtein, GenerationConfig, forge.evolutionaryscale.ai, biohub.ai, or ESM_API_KEY.

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。